Alternatives to Modal

Compute Engine (IaaS), a platform from Google that allows organizations to create and manage cloud-based virtual machines, is an infrastructure as a services (IaaS). Computing infrastructure in predefined sizes or custom machine shapes to accelerate cloud transformation. General purpose machines (E2, N1,N2,N2D) offer a good compromise between price and performance. Compute optimized machines (C2) offer high-end performance vCPUs for compute-intensive workloads. Memory optimized (M2) systems offer the highest amount of memory and are ideal for in-memory database applications. Accelerator optimized machines (A2) are based on A100 GPUs, and are designed for high-demanding applications. Integrate Compute services with other Google Cloud Services, such as AI/ML or data analytics. Reservations can help you ensure that your applications will have the capacity needed as they scale. You can save money by running Compute using the sustained-use discount, and you can even save more when you use the committed-use discount.

Fully managed compute platform to deploy and scale containerized applications securely and quickly. You can write code in your favorite languages, including Go, Python, Java Ruby, Node.js and other languages. For a simple developer experience, we abstract away all infrastructure management. It is built upon the open standard Knative which allows for portability of your applications. You can write code the way you want by deploying any container that listens to events or requests. You can create applications in your preferred language with your favorite dependencies, tools, and deploy them within seconds. Cloud Run abstracts away all infrastructure management by automatically scaling up and down from zero almost instantaneously--depending on traffic. Cloud Run only charges for the resources you use. Cloud Run makes app development and deployment easier and more efficient. Cloud Run is fully integrated with Cloud Code and Cloud Build, Cloud Monitoring and Cloud Logging to provide a better developer experience.

RunPod provides a cloud infrastructure that enables seamless deployment and scaling of AI workloads with GPU-powered pods. By offering access to a wide array of NVIDIA GPUs, such as the A100 and H100, RunPod supports training and deploying machine learning models with minimal latency and high performance. The platform emphasizes ease of use, allowing users to spin up pods in seconds and scale them dynamically to meet demand. With features like autoscaling, real-time analytics, and serverless scaling, RunPod is an ideal solution for startups, academic institutions, and enterprises seeking a flexible, powerful, and affordable platform for AI development and inference.

Get the fastest time to revenue available and government-level security with NXT1 LaunchIT, the world’s first 100% serverless, SaaS deployment and management platform. Go from code to published SaaS in 15 minutes. NXT1 LaunchIT enables instant availability by streamlining and automating every aspect of cloud infrastructure management required for SaaS delivery and sales – simply code and deploy. LaunchIT adheres to CISA’s Secure by Design guidelines and provides a direct path to FedRAMP compliance-readiness at a fraction of the traditional time and cost required, establishing new, impactful sales opportunities into state and federal government agencies. Built on Zero Trust principles, with integrated CI/CD management, multi-account and multi-region support, comprehensive performance management and observability, full ecommerce support, and GitHub integration, LaunchIT accelerates time to revenue for technology startups, legacy application migrations, enterprise expansions, systems integrations, and independent software development. Get started today with a 15-day free trial.

Protect and optimize mission-critical Kubernetes apps. Fairwinds Insights, a Kubernetes configuration validation tool, monitors your Kubernetes containers and recommends improvements. The software integrates trusted open-source tools, toolchain integrations and SRE expertise, based on hundreds successful Kubernetes deployments. The need to balance the speed of engineering and the reactive pace of security can lead to messy Kubernetes configurations, as well as unnecessary risk. It can take engineering time to adjust CPU or memory settings. This can lead to over-provisioning of data centers capacity or cloud compute. While traditional monitoring tools are important, they don't offer everything necessary to identify and prevent changes that could affect Kubernetes workloads.

All the information you need to deploy and maintain single-tenant, high performance bare metal servers. Latitude.sh is a great alternative to VMs. Latitude.sh has a lot more computing power than VMs. Latitude.sh gives you the speed and flexibility of a dedicated server, as well as the flexibility of the cloud. You can deploy your servers instantly through the Control Panel or use our powerful API to manage them. Latitude.sh offers a variety of hardware and connectivity options to meet your specific needs. Latitude.sh also offers automation. A robust, intuitive control panel that you can access in real-time to power your team, allows you to see and modify your infrastructure. Latitude.sh is what you need to run mission-critical services that require high uptime and low latency. We have our own private datacenter, so we are familiar with the best infrastructure.

CoreWeave stands out as a cloud infrastructure service that focuses on GPU-centric computing solutions specifically designed for artificial intelligence applications. Their platform delivers scalable, high-performance GPU clusters that enhance both training and inference processes for AI models, catering to sectors such as machine learning, visual effects, and high-performance computing. In addition to robust GPU capabilities, CoreWeave offers adaptable storage, networking, and managed services that empower AI-focused enterprises, emphasizing reliability, cost-effectiveness, and top-tier security measures. This versatile platform is widely adopted by AI research facilities, labs, and commercial entities aiming to expedite their advancements in artificial intelligence technology. By providing an infrastructure that meets the specific demands of AI workloads, CoreWeave plays a crucial role in driving innovation across various industries.

Execute your code without having to worry about server management, paying solely for the computational resources you actually use. AWS Lambda allows you to run your code without the need for provisioning or overseeing servers, charging you exclusively for the time your code is active. With Lambda, you can deploy code for nearly any kind of application or backend service while enjoying complete freedom from administrative tasks. Simply upload your code, and AWS Lambda handles everything necessary for running and scaling it with exceptional availability. You have the flexibility to set your code to automatically respond to triggers from other AWS services or invoke it directly from any web or mobile application. Furthermore, AWS Lambda efficiently runs your code without the need for you to manage server infrastructure. Just write your code and upload it, and AWS Lambda will take care of the rest. It also automatically scales your application by executing your code in response to each individual trigger, processing them in parallel and adapting precisely to the workload's demands. This level of automation and scalability makes AWS Lambda a powerful tool for developers seeking to optimize their application's performance.

Baseten is a cloud-native platform focused on delivering robust and scalable AI inference solutions for businesses requiring high reliability. It enables deployment of custom, open-source, and fine-tuned AI models with optimized performance across any cloud or on-premises infrastructure. The platform boasts ultra-low latency, high throughput, and automatic autoscaling capabilities tailored to generative AI tasks like transcription, text-to-speech, and image generation. Baseten’s inference stack includes advanced caching, custom kernels, and decoding techniques to maximize efficiency. Developers benefit from a smooth experience with integrated tooling and seamless workflows, supported by hands-on engineering assistance from the Baseten team. The platform supports hybrid deployments, enabling overflow between private and Baseten clouds for maximum performance. Baseten also emphasizes security, compliance, and operational excellence with 99.99% uptime guarantees. This makes it ideal for enterprises aiming to deploy mission-critical AI products at scale.

The easiest cloud platform for developers and teams. DigitalOcean makes it easy to deploy, manage, and scale cloud apps faster and more efficiently. DigitalOcean makes it easy to manage infrastructure for businesses and teams, no matter how many virtual machines you have. DigitalOcean App Platform: Create, deploy, scale and scale apps quickly with a fully managed solution. We will manage the infrastructure, dependencies, and app runtimes so you can quickly push code to production. You can quickly build, deploy, manage, scale, and scale apps using a simple, intuitive, visually rich experience. Apps are automatically secured We manage, renew, and create SSL certificates for you. We also protect your apps against DDoS attacks. We help you focus on the important things: creating amazing apps. We can manage infrastructure, databases, operating systems, applications, runtimes, and other dependencies.

Spot Ocean empowers users to harness the advantages of Kubernetes while alleviating concerns about infrastructure management, all while offering enhanced cluster visibility and significantly lower expenses. A crucial inquiry is how to effectively utilize containers without incurring the operational burdens tied to overseeing the underlying virtual machines, while simultaneously capitalizing on the financial benefits of Spot Instances and multi-cloud strategies. To address this challenge, Spot Ocean is designed to operate within a "Serverless" framework, effectively managing containers by providing an abstraction layer over virtual machines, which facilitates the deployment of Kubernetes clusters without the need for VM management. Moreover, Ocean leverages various compute purchasing strategies, including Reserved and Spot instance pricing, and seamlessly transitions to On-Demand instances as required, achieving an impressive 80% reduction in infrastructure expenditures. As a Serverless Compute Engine, Spot Ocean streamlines the processes of provisioning, auto-scaling, and managing worker nodes within Kubernetes clusters, allowing developers to focus on building applications rather than managing infrastructure. This innovative approach not only enhances operational efficiency but also enables organizations to optimize their cloud spending while maintaining robust performance and scalability.

Anyscale is a configurable AI platform that unifies tools and infrastructure to accelerate the development, deployment, and scaling of AI and Python applications using Ray. At its core is RayTurbo, an enhanced version of the open-source Ray framework, optimized for faster, more reliable, and cost-effective AI workloads, including large language model inference. The platform integrates smoothly with popular developer environments like VSCode and Jupyter notebooks, allowing seamless code editing, job monitoring, and dependency management. Users can choose from flexible deployment models, including hosted cloud services, on-premises machine pools, or existing Kubernetes clusters, maintaining full control over their infrastructure. Anyscale supports production-grade batch workloads and HTTP services with features such as job queues, automatic retries, Grafana observability dashboards, and high availability. It also emphasizes robust security with user access controls, private data environments, audit logs, and compliance certifications like SOC 2 Type II. Leading companies report faster time-to-market and significant cost savings with Anyscale’s optimized scaling and management capabilities. The platform offers expert support from the original Ray creators, making it a trusted choice for organizations building complex AI systems.

You focus on coding while we take care of everything else. Instantly deploy serverless applications around the world to ensure outstanding performance, dependability, and scalability. Say goodbye to the hassle of configuring auto-scaling, managing load balancers, or incurring costs for unused capacity. Your traffic will be automatically distributed and balanced across thousands of servers, allowing you to rest easy while your code adapts seamlessly. Each deployment connects to a network of data centers utilizing V8 isolates, ensuring rapid execution. Your applications benefit from Cloudflare's vast network, which is mere milliseconds away from nearly every internet user. Kick off your project with a template in your preferred programming language to begin developing an app, function, or API quickly. We provide a variety of templates, tutorials, and a command-line interface to get you started efficiently. Unlike many serverless platforms that face cold starts during deployments or spikes in service demand, our Workers execute your code immediately, eliminating delays. You can enjoy the first 100,000 requests each day at no cost, with affordable plans beginning at just $5 for every 10 million requests. With our service, you can focus on your coding goals while we ensure your applications run smoothly and efficiently.

AWS Inferentia accelerators, engineered by AWS, aim to provide exceptional performance while minimizing costs for deep learning (DL) inference tasks. The initial generation of AWS Inferentia accelerators supports Amazon Elastic Compute Cloud (Amazon EC2) Inf1 instances, boasting up to 2.3 times greater throughput and a 70% reduction in cost per inference compared to similar GPU-based Amazon EC2 instances. Numerous companies, such as Airbnb, Snap, Sprinklr, Money Forward, and Amazon Alexa, have embraced Inf1 instances and experienced significant advantages in both performance and cost. Each first-generation Inferentia accelerator is equipped with 8 GB of DDR4 memory along with a substantial amount of on-chip memory. The subsequent Inferentia2 model enhances capabilities by providing 32 GB of HBM2e memory per accelerator, quadrupling the total memory and decoupling the memory bandwidth, which is ten times greater than its predecessor. This evolution in technology not only optimizes the processing power but also significantly improves the efficiency of deep learning applications across various sectors.

Combine the rapid performance of in-memory solutions with the reliability of disk storage to unlock a variety of applications that extend beyond mere caching. By utilizing global databases with multi-region replication, you can enhance your system’s resilience. Experience true Serverless Kafka where costs can dwindle to zero, as you only incur charges based on your usage with a per-request pricing model. This allows you to produce and consume Kafka topics from virtually anywhere through a user-friendly built-in REST API. Begin with a free tier, and only pay for what you utilize, ensuring that costly server instances are a thing of the past. With Upstash, you can scale as needed without ever exceeding your predetermined cap price, providing peace of mind. The Upstash REST API also facilitates seamless integration with Cloudflare Workers and Fastly Compute@Edge. Thanks to the global database functionality, you can enjoy low-latency access to your data from any location. The combination of fast data access, ease of use, and flexible pay-per-request pricing position Upstash as an ideal solution for Jamstack and Serverless applications. Unlike traditional server models where you are charged by the hour or at a fixed rate, the Serverless approach ensures you only pay for what you request, making it a cost-effective alternative. This paradigm shift allows developers to focus on innovation rather than infrastructure management.

Easily scale your applications from the ground up to a global level without the burden of infrastructure management. With the ability to evolve rapidly, you can utilize a variety of popular programming languages and an array of development tools. Quickly construct and deploy applications using well-known languages or introduce your preferred language runtimes and frameworks. Additionally, you can handle resource management via the command line, troubleshoot source code, and seamlessly run API back ends. This allows you to concentrate on coding while leaving the management of the underlying infrastructure behind. Enhance the security of your applications with features like firewall protections, identity and access management rules, and automatically managed SSL/TLS certificates. Operate within a serverless framework, alleviating concerns about over or under provisioning. App Engine intelligently scales according to your application's traffic and utilizes resources solely when your code is active, ensuring efficiency and cost-effectiveness. This streamlined approach empowers developers to innovate without the constraints of traditional infrastructure challenges.

Accelerate computational tasks such as those found in machine learning and high-performance computing (HPC) with a diverse array of GPUs suited for various performance levels and budget constraints. With adaptable pricing and customizable machines, you can fine-tune your setup to enhance your workload efficiency. Google Cloud offers high-performance GPUs ideal for machine learning, scientific analyses, and 3D rendering. The selection includes NVIDIA K80, P100, P4, T4, V100, and A100 GPUs, providing a spectrum of computing options tailored to meet different cost and performance requirements. You can effectively balance processor power, memory capacity, high-speed storage, and up to eight GPUs per instance to suit your specific workload needs. Enjoy the advantage of per-second billing, ensuring you only pay for the resources consumed during usage. Leverage GPU capabilities on Google Cloud Platform, where you benefit from cutting-edge storage, networking, and data analytics solutions. Compute Engine allows you to easily integrate GPUs into your virtual machine instances, offering an efficient way to enhance processing power. Explore the potential uses of GPUs and discover the various types of GPU hardware available to elevate your computational projects.

Featuring up to 8 NVidia® H100 80GB GPUs, each equipped with 16896 CUDA cores and 528 Tensor Cores, this represents NVidia®'s latest flagship technology, setting a high standard for AI performance. The system utilizes the SXM5 NVLINK module, providing a memory bandwidth of 2.6 Gbps and enabling peer-to-peer bandwidth of up to 900GB/s. Additionally, the fourth generation AMD Genoa processors support up to 384 threads with a boost clock reaching 3.7GHz. For NVLINK connectivity, the SXM4 module is employed, which boasts an impressive memory bandwidth exceeding 2TB/s and a P2P bandwidth of up to 600GB/s. The second generation AMD EPYC Rome processors can handle up to 192 threads with a boost clock of 3.3GHz. The designation 8A100.176V indicates the presence of 8 RTX A100 GPUs, complemented by 176 CPU core threads and virtualized capabilities. Notably, even though it has fewer tensor cores compared to the V100, the architecture allows for enhanced processing speeds in tensor operations. Moreover, the second generation AMD EPYC Rome is also available with configurations supporting up to 96 threads and a boost clock of 3.35GHz, further enhancing the system's performance capabilities. This combination of advanced hardware ensures optimal efficiency for demanding computational tasks.

Crusoe delivers a cloud infrastructure tailored for artificial intelligence tasks, equipped with cutting-edge GPU capabilities and top-tier data centers. This platform is engineered for AI-centric computing, showcasing high-density racks alongside innovative direct liquid-to-chip cooling to enhance overall performance. Crusoe’s infrastructure guarantees dependable and scalable AI solutions through features like automated node swapping and comprehensive monitoring, complemented by a dedicated customer success team that assists enterprises in rolling out production-level AI workloads. Furthermore, Crusoe emphasizes environmental sustainability by utilizing clean, renewable energy sources, which enables them to offer economical services at competitive pricing. With a commitment to excellence, Crusoe continuously evolves its offerings to meet the dynamic needs of the AI landscape.

Businesses now have numerous options to efficiently train their deep learning and machine learning models without breaking the bank. AI accelerators cater to various scenarios, providing solutions that range from economical inference to robust training capabilities. Getting started is straightforward, thanks to an array of services designed for both development and deployment purposes. Custom-built ASICs known as Tensor Processing Units (TPUs) are specifically designed to train and run deep neural networks with enhanced efficiency. With these tools, organizations can develop and implement more powerful and precise models at a lower cost, achieving faster speeds and greater scalability. A diverse selection of NVIDIA GPUs is available to facilitate cost-effective inference or to enhance training capabilities, whether by scaling up or by expanding out. Furthermore, by utilizing RAPIDS and Spark alongside GPUs, users can execute deep learning tasks with remarkable efficiency. Google Cloud allows users to run GPU workloads while benefiting from top-tier storage, networking, and data analytics technologies that improve overall performance. Additionally, when initiating a VM instance on Compute Engine, users can leverage CPU platforms, which offer a variety of Intel and AMD processors to suit different computational needs. This comprehensive approach empowers businesses to harness the full potential of AI while managing costs effectively.

Introducing a pioneering compute protocol that combines integrated hardware and software for the training and fine-tuning of AI models. Experience a reduction in training expenses by as much as 80%. You can deploy your models in mere seconds, utilizing either open-source templates or your own customized models. Effortlessly debug your containers while having access to vital resources such as GPU, CPU, Memory, and other performance metrics. Real-time log monitoring allows for immediate insights into your processes. Maintain complete accountability by tracing all models and training datasets with cryptographically verified proofs. Command the entire training workflow effortlessly with just a few straightforward commands. Additionally, you can earn block rewards by contributing your computer to the network, while also tracking essential metrics like connectivity and uptime to ensure optimal performance. The innovative design of this system not only enhances efficiency but also promotes a collaborative environment for AI development.

Execute containers without the need to set up Kubernetes virtual machines or clusters. We take care of the software and runtime environment installation, upkeep, and management. This approach allows for a standardized process of generating artifacts (images) within your CI/CD pipeline, eliminating the need for code changes. You can write code in the programming language of your choice and utilize familiar tools for your most complex challenges. Set up pre-configured container instances that are always prepared to meet any demand. This operational method ensures there are no cold starts, enabling rapid processing of workloads. Run containers directly within your VPC network to seamlessly interact with virtual machines and manage databases while maintaining them behind a private network. You’ll only incur costs for serverless data storage and operations, and with our special pricing model, the first 1,000,000 container calls each month are completely free. This way, you can focus on development without worrying about infrastructure overhead.

Efficiently oversee cloud resources from a single interface, allowing you to maximize computing power within your existing budget while speeding up the development cycle. There are no initial costs related to purchasing reserved instances, enabling you to adapt to the varying demands of your projects with ease. Exostellar enhances the optimization of resource usage by automatically migrating HPC applications to more affordable virtual machines. It utilizes a cutting-edge OVMA (Optimized Virtual Machine Array), which is made up of various instance types that share essential features like cores, memory, SSD storage, and network bandwidth. This ensures that applications can run smoothly and without interruption, allowing for simple transitions between different instance types while maintaining existing network connections and addresses. By entering your current AWS computing utilization, you can discover the potential savings and enhanced performance that Exostellar’s X-Spot technology can bring to your organization and its applications. This innovative approach not only streamlines resource management but also empowers businesses to achieve greater operational efficiency.

Thunder Compute is an innovative cloud service that abstracts GPUs over TCP, enabling developers to effortlessly transition from CPU-only environments to expansive GPU clusters with a single command. By simulating a direct connection to remote GPUs, it allows CPU-only systems to function as if they possess dedicated GPU resources, all while those physical GPUs are utilized across multiple machines. This technique not only enhances GPU utilization but also lowers expenses by enabling various workloads to share a single GPU through dynamic memory allocation. Developers can conveniently initiate their projects on CPU-centric setups and seamlessly scale up to large GPU clusters with minimal configuration, thus avoiding the costs related to idle computation resources during the development phase. With Thunder Compute, users gain on-demand access to powerful GPUs such as NVIDIA T4, A100 40GB, and A100 80GB, all offered at competitive pricing alongside high-speed networking. The platform fosters an efficient workflow, making it easier for developers to optimize their projects without the complexities typically associated with GPU management.

Our team of business consultants delivers valuable insights and expertise, leveraging our core strengths in cloud technology to empower your organization to make informed decisions that drive both productivity and profitability. Our digital services platform is designed with continuous intelligence, utilizing real-time contextual data to facilitate the migration, modernization, and management of multi-cloud environments. This system allows for seamless migration of physical, virtual, and cloud workloads across various environments, ensuring minimal risk and nearly zero downtime through expertly crafted automation at each stage of the process. Additionally, it provides secure data backup capabilities, capturing changes to all files within our cloud storage data centers. Our platform enables efficient management of diverse IT consumption models, DevOps practices, and monitoring, ensuring transparency across cloud services like AWS, Google, and IBM, while optimizing asset usage and costs. With certified professionals skilled in multi-cloud environments (including AWS, Azure, Google, and IBM) and next-generation tools, we are equipped to support your organization's cloud strategy effectively and innovatively. Ultimately, our commitment to leveraging advanced technology ensures that you remain competitive in a rapidly evolving digital landscape.

Substrate serves as the foundation for agentic AI, featuring sophisticated abstractions and high-performance elements, including optimized models, a vector database, a code interpreter, and a model router. It stands out as the sole compute engine crafted specifically to handle complex multi-step AI tasks. By merely describing your task and linking components, Substrate can execute it at remarkable speed. Your workload is assessed as a directed acyclic graph, which is then optimized; for instance, it consolidates nodes that are suitable for batch processing. The Substrate inference engine efficiently organizes your workflow graph, employing enhanced parallelism to simplify the process of integrating various inference APIs. Forget about asynchronous programming—just connect the nodes and allow Substrate to handle the parallelization of your workload seamlessly. Our robust infrastructure ensures that your entire workload operates within the same cluster, often utilizing a single machine, thereby eliminating delays caused by unnecessary data transfers and cross-region HTTP requests. This streamlined approach not only enhances efficiency but also significantly accelerates task execution times.

Accelerate the building, training, and deployment of models at scale through a fully managed infrastructure that provides essential tools and streamlined workflows. Launch personalized AI and LLMs on any infrastructure in mere seconds, effortlessly scaling inference as required. Tackle your most intensive tasks with batch job scheduling, ensuring you only pay for what you use on a per-second basis. Reduce costs effectively by utilizing GPU resources, spot instances, and a built-in automatic failover mechanism. Simplify complex infrastructure configurations by deploying with just a single command using YAML. Adjust to demand by automatically increasing worker capacity during peak traffic periods and reducing it to zero when not in use. Release advanced models via persistent endpoints within a serverless architecture, maximizing resource efficiency. Keep a close eye on system performance and inference metrics in real-time, tracking aspects like worker numbers, GPU usage, latency, and throughput. Additionally, carry out A/B testing with ease by distributing traffic across various models for thorough evaluation, ensuring your deployments are continually optimized for performance.

Movestax is a platform that focuses on serverless functions for builders. Movestax offers a range of services, including serverless functions, databases and authentication. Movestax has the services that you need to grow, whether you're starting out or scaling quickly. Instantly deploy frontend and backend apps with integrated CI/CD. PostgreSQL and MySQL are fully managed, scalable, and just work. Create sophisticated workflows and integrate them directly into your cloud infrastructure. Run serverless functions to automate tasks without managing servers. Movestax's integrated authentication system simplifies user management. Accelerate development by leveraging pre-built APIs. Object storage is a secure, scalable way to store and retrieve files.

TensorWave is a cloud platform designed for AI and high-performance computing (HPC), exclusively utilizing AMD Instinct Series GPUs to ensure optimal performance. It features a high-bandwidth and memory-optimized infrastructure that seamlessly scales to accommodate even the most rigorous training or inference tasks. Users can access AMD’s leading GPUs in mere seconds, including advanced models like the MI300X and MI325X, renowned for their exceptional memory capacity and bandwidth, boasting up to 256GB of HBM3E and supporting speeds of 6.0TB/s. Additionally, TensorWave's architecture is equipped with UEC-ready functionalities that enhance the next generation of Ethernet for AI and HPC networking, as well as direct liquid cooling systems that significantly reduce total cost of ownership, achieving energy cost savings of up to 51% in data centers. The platform also incorporates high-speed network storage, which provides transformative performance, security, and scalability for AI workflows. Furthermore, it ensures seamless integration with a variety of tools and platforms, accommodating various models and libraries to enhance user experience. TensorWave stands out for its commitment to performance and efficiency in the evolving landscape of AI technology.

Dragonfly serves as a seamless substitute for Redis, offering enhanced performance while reducing costs. It is specifically engineered to harness the capabilities of contemporary cloud infrastructure, catering to the data requirements of today’s applications, thereby liberating developers from the constraints posed by conventional in-memory data solutions. Legacy software cannot fully exploit the advantages of modern cloud technology. With its optimization for cloud environments, Dragonfly achieves an impressive 25 times more throughput and reduces snapshotting latency by 12 times compared to older in-memory data solutions like Redis, making it easier to provide the immediate responses that users demand. The traditional single-threaded architecture of Redis leads to high expenses when scaling workloads. In contrast, Dragonfly is significantly more efficient in both computation and memory usage, potentially reducing infrastructure expenses by up to 80%. Initially, Dragonfly scales vertically, only transitioning to clustering when absolutely necessary at a very high scale, which simplifies the operational framework and enhances system reliability. Consequently, developers can focus more on innovation rather than infrastructure management.

Introducing OpenNebula, a versatile Cloud & Edge Computing Platform designed to deliver flexibility, scalability, simplicity, and independence from vendors, catering to the evolving demands of developers and DevOps teams. This open-source platform is not only powerful but also user-friendly, enabling organizations to construct and oversee their Enterprise Clouds with ease. OpenNebula facilitates comprehensive management of IT infrastructure and applications, effectively eliminating vendor lock-in while streamlining complexity, minimizing resource usage, and lowering operational expenses. By integrating virtualization and container technologies with features like multi-tenancy, automated provisioning, and elasticity, OpenNebula provides the capability to deploy applications and services on demand. The typical architecture of an OpenNebula Cloud includes a management cluster, which encompasses the front-end nodes, alongside the cloud infrastructure consisting of one or more workload clusters, ensuring robust and efficient operations. This structure allows for seamless scalability and adaptability to meet the dynamic requirements of modern workloads.

Amazon EC2 Trn2 instances, equipped with AWS Trainium2 chips, are specifically designed to deliver exceptional performance in the training of generative AI models, such as large language and diffusion models. Users can experience cost savings of up to 50% in training expenses compared to other Amazon EC2 instances. These Trn2 instances can accommodate as many as 16 Trainium2 accelerators, boasting an impressive compute power of up to 3 petaflops using FP16/BF16 and 512 GB of high-bandwidth memory. For enhanced data and model parallelism, they are built with NeuronLink, a high-speed, nonblocking interconnect, and offer a substantial network bandwidth of up to 1600 Gbps via the second-generation Elastic Fabric Adapter (EFAv2). Trn2 instances are part of EC2 UltraClusters, which allow for scaling up to 30,000 interconnected Trainium2 chips within a nonblocking petabit-scale network, achieving a remarkable 6 exaflops of compute capability. Additionally, the AWS Neuron SDK provides seamless integration with widely used machine learning frameworks, including PyTorch and TensorFlow, making these instances a powerful choice for developers and researchers alike. This combination of cutting-edge technology and cost efficiency positions Trn2 instances as a leading option in the realm of high-performance deep learning.

Civo is a cloud-native service provider focused on delivering fast, simple, and cost-effective cloud infrastructure for modern applications and AI workloads. The platform features managed Kubernetes clusters with rapid 90-second launch times, helping developers accelerate development cycles and scale with ease. Alongside Kubernetes, Civo offers compute instances, managed databases, object storage, load balancers, and high-performance cloud GPUs powered by NVIDIA A100, including environmentally friendly carbon-neutral options. Their pricing is predictable and pay-as-you-go, ensuring transparency and no surprises for businesses. Civo supports machine learning workloads with fully managed auto-scaling environments starting at $250 per month, eliminating the need for ML or Kubernetes expertise. The platform includes comprehensive dashboards and developer tools, backed by strong compliance certifications such as ISO27001 and SOC2. Civo also invests in community education through its Academy, meetups, and extensive documentation. With trusted partnerships and real-world case studies, Civo helps businesses innovate faster while controlling infrastructure costs.

Fal represents a serverless Python environment enabling effortless cloud scaling of your code without the need for infrastructure management. It allows developers to create real-time AI applications with incredibly fast inference times, typically around 120 milliseconds. Explore a variety of pre-built models that offer straightforward API endpoints, making it easy to launch your own AI-driven applications. You can also deploy custom model endpoints, allowing for precise control over factors such as idle timeout, maximum concurrency, and automatic scaling. Utilize widely-used models like Stable Diffusion and Background Removal through accessible APIs, all kept warm at no cost to you—meaning you won’t have to worry about the expense of cold starts. Engage in conversations about our product and contribute to the evolution of AI technology. The platform can automatically expand to utilize hundreds of GPUs and retract back to zero when not in use, ensuring you only pay for compute resources when your code is actively running. To get started with fal, simply import it into any Python project and wrap your existing functions with its convenient decorator, streamlining the development process for AI applications. This flexibility makes fal an excellent choice for both novice and experienced developers looking to harness the power of AI.

Salad enables gamers to earn cryptocurrency during their idle time by utilizing the power of their GPUs. Transform your computing capabilities into credits that can be used for purchases of your favorite items. Our Store offers a variety of options including subscriptions, games, gift cards, and many more. Simply download our free mining application and let it run while you're away from your keyboard to accumulate Salad Balance. By participating, you contribute to a more decentralized internet by providing essential infrastructure for distributing computing resources. To simplify things—your computer does much more than just generate income. At Salad, our team is dedicated to supporting not only blockchain initiatives but also various distributed projects such as machine learning and data processing. Engage in surveys, complete quizzes, and test applications through platforms like AdGate, AdGem, and OfferToro. Once you've accumulated sufficient balance, feel free to redeem exciting items from the Salad Storefront. Your Salad Balance can be spent on a range of products, including Discord Nitro, Prepaid VISA Cards, Amazon Credit, or Game Codes, enhancing your overall experience. Join the community and start making the most out of your downtime today!

HPE Synergy offers a flexible, software-defined infrastructure tailored for hybrid cloud settings, allowing the creation of dynamic pools of both physical and virtual compute, storage, and networking resources in any desired arrangement for various workloads, all managed through a single API and delivered as a service via HPE GreenLake. You can oversee a cohesive infrastructure capable of supporting both current applications and future innovations, even when they have significantly different infrastructure needs and service-level expectations. This approach not only speeds up application and service delivery through an intuitive interface that can configure infrastructure almost instantaneously, but it also incorporates advanced software-defined intelligence, powered by HPE OneView, enabling the deployment of services in mere minutes with just a line of code. Enhance your organization's agility with a developer-friendly infrastructure that streamlines operations. Furthermore, the unified API facilitates the automation of infrastructure tasks, integrating seamlessly with a broad array of partner solutions to maximize efficiency and innovation.

Alibaba Cloud Function Compute is a fully managed service designed for event-driven computing. This platform enables developers to concentrate on coding and uploading their applications, eliminating the need for infrastructure management like servers. Function Compute offers flexible and dependable compute resources to execute code. Furthermore, it comes with a substantial allocation of free resources, allowing users to avoid costs for up to 1,000,000 invocations and 400,000 CU-seconds of compute resources every month. This makes it an attractive option for developers looking to optimize their workflow while minimizing expenses.

Our technology allows you create a hosted private cloud with all the features in just 45 seconds. Imagine it as the "first private cloud as a services". Cloud Core is the foundation of all hosted private clouds. OpenMetal Cloud Core is a hyperconverged set up of 3 hosted servers, of your choice of hardware type. OpenStack and Ceph power your cloud. This includes everything from Compute/VMs, Block Storage, powerful software defined networks to easy-to-deploy Kubernetes. Plus, tooling for Day 2 Operations, with built-in monitoring, all packaged up in a modern web portal. OpenMetal private clouds are API first systems that enable teams to use infrastructure like code. Terraform is recommended. Both CLI and GUI are available by default.

Featherless is a provider of AI models, granting subscribers access to an ever-growing collection of Hugging Face models. With the influx of hundreds of new models each day, specialized tools are essential to navigate this expanding landscape. Regardless of your specific application, Featherless enables you to discover and utilize top-notch AI models. Currently, we offer support for LLaMA-3-based models, such as LLaMA-3 and QWEN-2, though it's important to note that QWEN-2 models are limited to a context length of 16,000. We are also planning to broaden our list of supported architectures in the near future. Our commitment to progress ensures that we continually integrate new models as they are released on Hugging Face, and we aspire to automate this onboarding process to cover all publicly accessible models with suitable architecture. To promote equitable usage of individual accounts, concurrent requests are restricted based on the selected plan. Users can expect output delivery rates ranging from 10 to 40 tokens per second, influenced by the specific model and the size of the prompt, ensuring a tailored experience for every subscriber. As we expand, we remain dedicated to enhancing our platform's capabilities and offerings.

The Barracuda Cloud represents an innovative ecosystem that harnesses the power of on-demand cloud computing to enhance data security, storage, and IT management. It serves as a vital addition to all Barracuda products, offering increased protection and scalability. Users can select the extent of Barracuda Cloud features they wish to utilize while maintaining control over their on-premises data. Whether deploying our physical appliances, virtual appliances, or using our services on platforms like Amazon Web Services and Microsoft Azure, access to Barracuda Cloud is always available. Additionally, we provide Software as a Service (SaaS) offerings for various needs, including email and web security, file sharing, and electronic signature services. The Barracuda security suite also includes subscriptions to Barracuda Central, our global operations hub, which is dedicated to monitoring the Internet for potential network threats and delivering timely solutions. This comprehensive approach ensures that users are equipped with the necessary tools to safeguard their digital assets effectively.

It enables efficient training on Amazon Elastic Compute Cloud (Amazon EC2) Trn1 instances powered by AWS Trainium. Additionally, for model deployment, it facilitates both high-performance and low-latency inference utilizing AWS Inferentia-based Amazon EC2 Inf1 instances along with AWS Inferentia2-based Amazon EC2 Inf2 instances. With the Neuron SDK, users can leverage widely-used frameworks like TensorFlow and PyTorch to effectively train and deploy machine learning (ML) models on Amazon EC2 Trn1, Inf1, and Inf2 instances with minimal alterations to their code and no reliance on vendor-specific tools. The integration of the AWS Neuron SDK with these frameworks allows for seamless continuation of existing workflows, requiring only minor code adjustments to get started. For those involved in distributed model training, the Neuron SDK also accommodates libraries such as Megatron-LM and PyTorch Fully Sharded Data Parallel (FSDP), enhancing its versatility and scalability for various ML tasks. By providing robust support for these frameworks and libraries, it significantly streamlines the process of developing and deploying advanced machine learning solutions.

As the leading local innovator in true cloud computing within New Zealand, we are dedicated to enhancing accessibility in the cloud to propel the growth of Aotearoa's digital economy. Getting started with our services is seamless, featuring pay-as-you-go options, tailored services, standardized APIs, and an intuitive web dashboard that allows for easy scaling as your needs evolve. We invite you to explore our offerings by signing up for a complimentary trial. Being pioneers in New Zealand, we were the first to launch a CNCF certified Kubernetes service, as well as the first to incorporate the five key characteristics of cloud computing as defined by NIST. We have merely begun to explore the vast potential of cloud technology, and our ambitions extend far beyond this initial stage. As proud advocates of the open source movement, we firmly believe that open standards provide exceptional value and freedom to our users. Our cloud infrastructure is built on OpenStack and supports an open API standard that is widely adopted by numerous cloud service providers around the globe. Additionally, we are constantly striving to enhance our offerings and foster innovation in the cloud space.

GPU Trader serves as a robust and secure marketplace designed for enterprises, linking organizations to high-performance GPUs available through both on-demand and reserved instance models. This platform enables immediate access to powerful GPUs, making it ideal for applications in AI, machine learning, data analytics, and other high-performance computing tasks. Users benefit from flexible pricing structures and customizable instance templates, which allow for seamless scalability while ensuring they only pay for the resources they utilize. The service is built on a foundation of complete security, employing a zero-trust architecture along with transparent billing processes and real-time performance tracking. By utilizing a decentralized architecture, GPU Trader enhances GPU efficiency and scalability, efficiently managing workloads across a distributed network. With the capability to oversee workload dispatch and real-time monitoring, the platform employs containerized agents that autonomously perform tasks on GPUs. Additionally, AI-driven validation processes guarantee that all GPUs available meet stringent performance criteria, thereby offering reliable resources to users. This comprehensive approach not only optimizes performance but also fosters an environment where organizations can confidently leverage GPU resources for their most demanding projects.

Leverage our APIs to harness the power of AI, ensuring you only pay for what you utilize, eliminating any idle costs while benefiting from exceptional speed and scalability. Elevate your offerings by incorporating AI-driven image generation, which produces high-quality and distinctive visuals for your users. Utilize AI text generation to create engaging content, automate responses, or tailor experiences to individual preferences. By integrating real-time speech recognition into your products, you can significantly boost accessibility and productivity. The API also facilitates the creation of voiceovers, enhances accessibility features, and allows for the development of interactive experiences. Moreover, you can synchronize speech with facial movements to achieve lifelike animations and enhance video quality. Automate repetitive tasks while optimizing workflows to improve operational efficiency. Extract valuable insights from your data to make well-informed business decisions, ensuring you remain competitive in your industry. Finally, stay ahead of the curve with advanced AI, powered by a global network of state-of-the-art computers, which offers personalized recommendations that enhance customer satisfaction and engagement. This comprehensive approach can transform the way you interact with your audience and streamline your business processes.

We provide a globally distributed real-time database, along with stream processing and computing capabilities for event-driven applications, utilizing as many as 175 edge data centers around the world. Developers and API creators appreciate our platform because it addresses the complex challenges of managing shared mutable state across hundreds of locations with both strong consistency and minimal latency. Macrometa empowers you to seamlessly enhance your existing infrastructure, allowing you to reposition portions of your application or the entire setup closer to your end users. This strategic placement significantly boosts performance, enhances user experiences, and ensures adherence to international data governance regulations. Serving as a serverless, streaming NoSQL database, Macrometa encompasses integrated pub/sub features, stream data processing, and a compute engine. You can establish a stateful data infrastructure, create stateful functions and containers suitable for prolonged workloads, and handle data streams in real time. While you focus on coding, we manage all operational tasks and orchestration, freeing you to innovate without constraints. As a result, our platform not only simplifies development but also optimizes resource utilization across global networks.