Alternatives to Nebius

Google Cloud is an online service that lets you create everything from simple websites to complex apps for businesses of any size. Customers who are new to the system will receive $300 in credits for testing, deploying, and running workloads. Customers can use up to 25+ products free of charge. Use Google's core data analytics and machine learning. All enterprises can use it. It is secure and fully featured. Use big data to build better products and find answers faster. You can grow from prototypes to production and even to planet-scale without worrying about reliability, capacity or performance. Virtual machines with proven performance/price advantages, to a fully-managed app development platform. High performance, scalable, resilient object storage and databases. Google's private fibre network offers the latest software-defined networking solutions. Fully managed data warehousing and data exploration, Hadoop/Spark and messaging.

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.

Cloud servers, bare metal and storage can be easily deployed worldwide. Our high-performance compute instances are ideal for your web application development environment. Once you click deploy, Vultr cloud orchestration takes control and spins up the instance in your preferred data center. In seconds, you can spin up a new instance using your preferred operating system or preinstalled applications. You can increase the capabilities of your cloud servers whenever you need them. For mission-critical systems, automatic backups are essential. You can easily set up scheduled backups via the customer portal. Our API and control panel are easy to use, so you can spend more time programming and less time managing your infrastructure.

The most complex AI, ML, Deep Learning models can be trained. With just a few clicks, you can scale from a single machine up to a whole fleet of VMs. Lambda Cloud makes it easy to scale up or start your Deep Learning project. You can get started quickly, save compute costs, and scale up to hundreds of GPUs. Every VM is pre-installed with the most recent version of Lambda Stack. This includes major deep learning frameworks as well as CUDA®. drivers. You can access the cloud dashboard to instantly access a Jupyter Notebook development environment on each machine. You can connect directly via the Web Terminal or use SSH directly using one of your SSH keys. Lambda can make significant savings by building scaled compute infrastructure to meet the needs of deep learning researchers. Cloud computing allows you to be flexible and save money, even when your workloads increase rapidly.

Unlock prices that are 3-5x higher than those of traditional clouds. FluidStack aggregates GPUs from data centres around the world that are underutilized to deliver the best economics in the industry. Deploy up to 50,000 high-performance servers within seconds using a single platform. In just a few days, you can access large-scale A100 or H100 clusters using InfiniBand. FluidStack allows you to train, fine-tune and deploy LLMs for thousands of GPUs at affordable prices in minutes. FluidStack unifies individual data centers in order to overcome monopolistic GPU pricing. Cloud computing can be made more efficient while allowing for 5x faster computation. Instantly access over 47,000 servers with tier four uptime and security through a simple interface. Train larger models, deploy Kubernetes Clusters, render faster, and stream without latency. Setup with custom images and APIs in seconds. Our engineers provide 24/7 direct support through Slack, email, or phone calls.

Setup should be simple. We've listened carefully to the feedback of our community in order to simplify the developer experience. Our billing model was designed from the ground up for cloud-native. You only pay for what you need and there are no surprises. Launch times that are industry-leading will boost productivity. Accelerate the development cycle, innovate and deliver faster results. Blazing fast, simplified, managed Kubernetes. Host applications and scale them as you need, with a 90-second cluster launch time and a free controller plane. Kubernetes-powered enterprise-class compute instances. Multi-region support, DDoS Protection, bandwidth pooling and all the developer tool you need. Fully managed, auto-scaling machine-learning environment. No Kubernetes, ML or Kubernetes expertise is required. Setup and scale managed databases easily from your Civo dashboard, or our developer API. Scale up or down as needed, and only pay for the resources you use.

OVHcloud gives technologists and businesses complete control, allowing them to start their own business. We are a global technology company that provides developers, entrepreneurs, and businesses with dedicated software, infrastructure, and server building blocks to manage, scale, and secure their data. We have always challenged the status-quo and strived to make technology affordable and accessible throughout our history. We believe that an open ecosystem and open cloud is essential to our future in today's digital world. This will allow all to flourish and customers to choose how, when, and where they want to manage their data. We are a trusted global company with more than 1.5 million customers. We manufacture servers, manage 30 datacenters, as well as operate our own fiber-optic network. We are open to powering your data with our products, support, thriving ecosystem, and passionate employees.

GMI GPU Cloud allows you to create generative AI applications within minutes. GMI Cloud offers more than just bare metal. Train, fine-tune and infer the latest models. Our clusters come preconfigured with popular ML frameworks and scalable GPU containers. Instantly access the latest GPUs to power your AI workloads. We can provide you with flexible GPUs on-demand or dedicated private cloud instances. Our turnkey Kubernetes solution maximizes GPU resources. Our advanced orchestration tools make it easy to allocate, deploy and monitor GPUs or other nodes. Create AI applications based on your data by customizing and serving models. GMI Cloud allows you to deploy any GPU workload quickly, so that you can focus on running your ML models and not managing infrastructure. Launch pre-configured environment and save time building container images, downloading models, installing software and configuring variables. You can also create your own Docker images to suit your needs.

Foundry is the next generation of public cloud powered by an orchestration system that makes it as simple as flicking a switch to access AI computing. Discover the features of our GPU cloud service designed for maximum performance. You can use our GPU cloud services to manage training runs, serve clients, or meet research deadlines. For years, industry giants have invested in infra-teams that build sophisticated tools for cluster management and workload orchestration to abstract the hardware. Foundry makes it possible for everyone to benefit from the compute leverage of a twenty-person team. The current GPU ecosystem operates on a first-come-first-served basis and is fixed-price. The availability of GPUs during peak periods is a problem, as are the wide differences in pricing across vendors. Foundry's price performance is superior to anyone else on the market thanks to a sophisticated mechanism.

You can deploy Mystic in your own Azure/AWS/GCP accounts or in our shared GPU cluster. All Mystic features can be accessed directly from your cloud. In just a few steps, you can get the most cost-effective way to run ML inference. Our shared cluster of graphics cards is used by hundreds of users at once. Low cost, but performance may vary depending on GPU availability in real time. We solve the infrastructure problem. A Kubernetes platform fully managed that runs on your own cloud. Open-source Python API and library to simplify your AI workflow. You get a platform that is high-performance to serve your AI models. Mystic will automatically scale GPUs up or down based on the number API calls that your models receive. You can easily view and edit your infrastructure using the Mystic dashboard, APIs, and CLI.

Our Linux virtual machines simplify cloud infrastructure and provide a robust set of tools that make it easy to develop, deploy, scale, and scale modern applications faster and more efficiently. Linode believes virtual computing is essential to enable innovation in the cloud. It must be accessible, affordable, and easy. Our infrastructure-as-a-service platform is deployed across 11 global markets from our data centers around the world and is supported by our Next Generation Network, advanced APIs, comprehensive services, and vast library of educational resources. Linode products, services and people allow developers and businesses to create, deploy, scale, and scale applications in the cloud more efficiently and cost-effectively.

Deep learning, 3D modelling, simulations and distributed analytics take days or even weeks. GPUonCLOUD’s dedicated GPU servers can do it in a matter hours. You may choose pre-configured or pre-built instances that feature GPUs with deep learning frameworks such as TensorFlow and PyTorch. MXNet and TensorRT are also available. OpenCV is a real-time computer-vision library that accelerates AI/ML model building. Some of the GPUs we have are the best for graphics workstations or multi-player accelerated games. Instant jumpstart frameworks improve the speed and agility in the AI/ML environment through effective and efficient management of the environment lifecycle.

Launch GPU-accelerated instances that are highly configurable for your AI workload and budget. Reserve thousands of GPUs for training and inference in a next generation AI data center. The AI world is moving to GPU clouds in order to build and launch groundbreaking models without having the hassle of managing infrastructure or scarcity of resources. AI-centric cloud providers are outperforming traditional hyperscalers in terms of availability, compute costs, and scaling GPU utilization for complex AI workloads. Ori has a large pool with different GPU types that are tailored to meet different processing needs. This ensures that a greater concentration of powerful GPUs are readily available to be allocated compared to general purpose clouds. Ori offers more competitive pricing, whether it's for dedicated servers or on-demand instances. Our GPU compute costs are significantly lower than the per-hour and per-use pricing of legacy cloud services.

On-demand dedicated servers without virtualization layer. Flexible, Scalable, and Affordable from 1U slot to multirack private cages. Scalable virtual servers that use redundant SSD storage. Designed to work with dedicated cloud instances, without noisy neighbors. Limestone Networks' fast deployment process will save your team time, money, and help you manage virtual servers as well as physical servers. Everything we do is designed for the cloud and allows for instant, on-demand deployments of a variety of infrastructure services. Our clients get hourly billing that is limited to 635 hours per month per server, and the stability of long-term deployment discounts. All of our services come with industry-leading support and account services teams that are always available to assist. Our intuitive control panel makes it easy to manage your cloud, colocated infrastructure, and bare metal with support and billing features.

The Cloud that makes sense. Scaleway is the foundation for digital success. Cloud platform for developers and growing companies. Everything you need to build, deploy, and scale your cloud infrastructure. You can compute, GPU, bare metal, and containers. Managed & Evolutive Storage. Network. IoT. You have the largest selection of dedicated servers available to help you succeed in the most challenging projects. Web Hosting with high-end dedicated servers. Domain Names Services. Our cutting-edge expertise allows you to host your hardware at our high-performance, secure data centers. Private Suite & Cage Rack, 1/2 & 1/4 Rack. Scaleway data centers. Scaleway has 6 data centers in Europe, and offers cloud solutions for customers in over 160 countries. Our Excellence team: Experts at your side 24/7. Learn how we can help our customers tune, optimize and use their platforms with skilled experts

Accelerate compute jobs such as machine learning and HPC. There are many GPUs available to suit different price points and performance levels. Flexible pricing and machine customizations are available to optimize your workload. High-performance GPUs available on Google Cloud for machine intelligence, scientific computing, 3D visualization, and machine learning. NVIDIA K80 and P100 GPUs, T4, V100 and A100 GPUs offer a variety of compute options to meet your workload's cost and performance requirements. You can optimize the processor, memory and high-performance disk for your specific workload by using up to 8 GPUs per instance. All this with per-second billing so that you only pay for what you use. You can run GPU workloads on Google Cloud Platform, which offers industry-leading storage, networking and data analytics technologies. Compute Engine offers GPUs that can be added to virtual machine instances. Learn more about GPUs and the types of hardware available.

The first hardware and software computing protocol that integrates both to train and fine tune your AI models. Reduce your training costs up to 80%. Deploy your model in seconds using open-source template models or bring your model. Debug containers easily with GPU, CPU and Memory metrics. You can monitor logs live. You can track all models and training set with cryptographic proofs to ensure complete accountability. You can control the entire training process with just a few commands. You can earn block rewards by adding your computer to the networking. Track key metrics like connectivity and uptime.

NVIDIA Triton™, an inference server, delivers fast and scalable AI production-ready. Open-source inference server software, Triton inference servers streamlines AI inference. It allows teams to deploy trained AI models from any framework (TensorFlow or NVIDIA TensorRT®, PyTorch or ONNX, XGBoost or Python, custom, and more on any GPU or CPU-based infrastructure (cloud or data center, edge, or edge). Triton supports concurrent models on GPUs to maximize throughput. It also supports x86 CPU-based inferencing and ARM CPUs. Triton is a tool that developers can use to deliver high-performance inference. It integrates with Kubernetes to orchestrate and scale, exports Prometheus metrics and supports live model updates. Triton helps standardize model deployment in production.

Nscale is a hyperscaler that is engineered for AI. It offers high-performance computing optimized to train, fine-tune, and handle intensive workloads. Vertically integrated across Europe, from our data centers to software stack, to deliver unparalleled performance, efficiency and sustainability. Our AI cloud platform allows you to access thousands of GPUs that are tailored to your needs. A fully integrated platform will help you reduce costs, increase revenue, and run AI workloads more efficiently. Our platform simplifies the journey from development through to production, whether you use Nscale's AI/ML tools built-in or your own. The Nscale Marketplace provides users with access to a variety of AI/ML resources and tools, allowing for efficient and scalable model deployment and development. Serverless allows for seamless, scalable AI without the need to manage any infrastructure. It automatically scales up to meet demand and ensures low latency, cost-effective inference, for popular generative AI model.

Cloud infrastructure with high performance at affordable prices. Manage easily using an intuitive interface. No technical expertise is required. 24/7 dedicated team, personalized assistance and answers. Advanced encryption, 24/7 monitoring, and authentication. Competitive prices without compromising on quality. Utho Cloud services and products can turn your idea into a real solution. Save time with our 1 click deploy app and go live within minutes. Finding the right cloud is not easy, especially when there are so many options that allow developers to access cloud resources anywhere and at any time. Cloud resources can be deployed from seven data centers around the world to ensure the best user experience. We understand how important it is to have support. We are available via email, WhatsApp or phone at any time. Our pricing is transparent, and you only pay for what you use.

Ametnes: A Streamlined Data App Deployment Management Ametnes is the future of data applications deployment. Our cutting-edge solution will revolutionize the way you manage data applications in your private environments. Manual deployment is a complex process that can be a security concern. Ametnes tackles these challenges by automating the whole process. This ensures a seamless, secure experience for valued customers. Our intuitive platform makes it easy to deploy and manage data applications. Ametnes unlocks the full potential of any private environment. Enjoy efficiency, security and simplicity in a way you've never experienced before. Elevate your data management game - choose Ametnes today!

Each GPU contains 16896 CUDA Cores and 528 Tensor cores. This is the current flagship chip from NVidia®, which is unmatched in terms of raw performance for AI operations. We use the SXM5 module of NVLINK, which has a memory bandwidth up to 2.6 Gbps. It also offers 900GB/s bandwidth P2P. Fourth generation AMD Genoa with up to 384 Threads and a boost clock 3.7GHz. We only use the SXM4 "for NVLINK" module, which has a memory bandwidth exceeding 2TB/s as well as a P2P bandwidth up to 600GB/s. Second generation AMD EPYC Rome with up to 192 Threads and a boost clock 3.3GHz. The name 8A100.176V consists of 8x RTX, 176 CPU cores threads and virtualized. It is faster at processing tensor operations than the V100 despite having fewer tensors. This is due to its different architecture. Second generation AMD EPYC Rome with up to 96 threads and a boost clock speed of 3.35GHz.

Cloud infrastructures are built to meet your specific needs. We will support you throughout all phases of your business. From the analysis of the optimal IT infrastructure, to migration and complex architectures, we can help. It is important to remember that time is money. This is especially true when working in the IT industry. Save time by choosing the best hosting and cloud services that offer great support and rapid service. Our data centers are located at Milan, Sesto, San Giovanni, Lugano and Frosinone. We only use high-quality hardware from reputable brands. We provide the highest level of security to ensure a robust, highly available IT infrastructure that allows you to quickly recover your workloads. Seeweb cloud solutions have a sustainable and responsible approach. Our company policies include ethics, inclusion, as well as our full support for projects that are dedicated to society and environment. All of our server farms use 100% renewable energy.

We have all the infrastructure (computers, Frameworks, Cuda) and software (Cuda) you need to train and deploy deep-learning models. You can launch GPU/CPU instances directly from your web browser or automate the process through our Python API.

The NVIDIA GPU Optimized AMI is a virtual image that accelerates your GPU-accelerated Machine Learning and Deep Learning workloads. This AMI allows you to spin up a GPU accelerated EC2 VM in minutes, with a preinstalled Ubuntu OS and GPU driver. Docker, NVIDIA container toolkit, and Docker are also included. This AMI provides access to NVIDIA’s NGC Catalog. It is a hub of GPU-optimized software for pulling and running performance-tuned docker containers that have been tested and certified by NVIDIA. The NGC Catalog provides free access to containerized AI and HPC applications. It also includes pre-trained AI models, AI SDKs, and other resources. This GPU-optimized AMI comes free, but you can purchase enterprise support through NVIDIA Enterprise. Scroll down to the 'Support information' section to find out how to get support for AMI.

We are ready to meet all your business needs, whether it is quick engineering, fine-tuning or training. The Together Inference API makes it easy to integrate your new model in your production application. Together AI's elastic scaling and fastest performance allows it to grow with you. To increase accuracy and reduce risks, you can examine how models are created and what data was used. You are the owner of the model that you fine-tune and not your cloud provider. Change providers for any reason, even if the price changes. Store data locally or on our secure cloud to maintain complete data privacy.

Burncloud is one of the leading cloud computing providers, focusing on providing businesses with efficient, reliable and secure GPU rental services. Our platform is based on a systemized design that meets the high-performance computing requirements of different enterprises. Core Services Online GPU Rental Services - We offer a wide range of GPU models to rent, including data-center-grade devices and edge consumer computing equipment, in order to meet the diverse computing needs of businesses. Our best-selling products include: RTX4070, RTX3070 Ti, H100PCIe, RTX3090 Ti, RTX3060, NVIDIA4090, L40 RTX3080 Ti, L40S RTX4090, RTX3090, A10, H100 SXM, H100 NVL, A100PCIe 80GB, and many more. Our technical team has a vast experience in IB networking and has successfully set up five 256-node Clusters. Contact the Burncloud customer service team for cluster setup services.

We have the infrastructure to meet all your computing needs, whether you need one or thousands GPUs or one vCPU or tens of thousand vCPUs. Our resources are available whenever you need them. Our platform makes switching between GPU and CPU instances a breeze. You can easily deploy, modify and rescale instances to meet your needs. You can get outstanding machine learning performance without breaking your bank. The latest technology for a much lower price. Modern GPUs are built to meet your workload demands. Get access to computing resources that are tailored for your models. Our OblivusAI OS allows you to access libraries and leverage our infrastructure for large-scale inference. Use our robust infrastructure to unleash the full potential of gaming by playing games in settings of your choosing.

Amazon EC2 capacity blocks for ML allow you to reserve accelerated compute instance in Amazon EC2 UltraClusters that are dedicated to machine learning workloads. This service supports Amazon EC2 P5en instances powered by NVIDIA Tensor Core GPUs H200, H100 and A100, as well Trn2 and TRn1 instances powered AWS Trainium. You can reserve these instances up to six months ahead of time in cluster sizes from one to sixty instances (512 GPUs, or 1,024 Trainium chip), providing flexibility for ML workloads. Reservations can be placed up to 8 weeks in advance. Capacity Blocks can be co-located in Amazon EC2 UltraClusters to provide low-latency and high-throughput connectivity for efficient distributed training. This setup provides predictable access to high performance computing resources. It allows you to plan ML application development confidently, run tests, build prototypes and accommodate future surges of demand for ML applications.

Elastic Fabric Adapter is a network-interface for Amazon EC2 instances. It allows customers to run applications that require high levels of internode communication at scale. Its custom-built OS bypass hardware interface improves the performance of interinstance communications which is crucial for scaling these applications. EFA allows High-Performance Computing applications (HPC) using the Message Passing Interface, (MPI), and Machine Learning applications (ML) using NVIDIA's Collective Communications Library, (NCCL), to scale up to thousands of CPUs and GPUs. You get the performance of HPC clusters on-premises, with the elasticity and flexibility on-demand of AWS. EFA is a free networking feature available on all supported EC2 instances. Plus, EFA works with the most common interfaces, libraries, and APIs for inter-node communication.

Vast.ai offers the lowest-cost cloud GPU rentals. Save up to 5-6 times on GPU computation with a simple interface. Rent on-demand for convenience and consistency in pricing. You can save up to 50% more by using spot auction pricing for interruptible instances. Vast offers a variety of providers with different levels of security, from hobbyists to Tier-4 data centres. Vast.ai can help you find the right price for the level of reliability and security you need. Use our command-line interface to search for offers in the marketplace using scriptable filters and sorting options. Launch instances directly from the CLI, and automate your deployment. Use interruptible instances to save an additional 50% or even more. The highest bidding instance runs; other conflicting instances will be stopped.

As-a-Service offers the flexibility and agility of as-a service, but with the power and control that comes with top technology infrastructure. You can deploy an as-a service operating model at your own pace, anywhere it is needed, whether in your data center, at the edge, or in a colocation facility. You can take advantage of technology that is managed for you but operated by you. Technology should be aligned with business needs to enable rapid scaling with greater flexibility. Maximize resources and reduce risk. You control your business. APEX provides cloud and infrastructure services to meet a variety of data and workload requirements. This allows you to accelerate innovation, adapt and keep control of your IT operations. APEX is built on the innovative Dell Technologies infrastructure, which is designed with Intel flexibility. APEX Private Cloud and APEX Hybrid Cloud are some of the products.

Customers can now benefit from enhanced full-lifecycle cloud native programming capabilities that will allow them to build modern applications for tomorrow. With applications designed for tomorrow, unlock the full potential of cloud computing today. Traditional cloud adoption strategies focused on application migration and infrastructure, but did not pay enough attention to the code underneath. While the cloud has always offered the benefits of scale and elasticity, it cannot unleash its full potential unless the code in your applications is updated. Modern applications built with cloud native technology and modern architectures allow you to tap the full potential of cloud computing. This will increase agility and help you accelerate innovation. You can create self-healing, autoscaling applications that are free from the limitations of servers. Serverless architectures provide the best efficiency and cost savings of the cloud, while allowing almost all infrastructure and software management to be done on the platform.

You can migrate your business and mission-critical workloads to Azure to improve operational efficiencies. Azure Virtual Machines can run SQL Server, SAP, Oracle®, and other high-performance computing software. Choose your favorite Linux distribution and Windows Server.

Amazon EC2 Trn2 instances powered by AWS Trainium2 are designed for high-performance deep-learning training of generative AI model, including large language models, diffusion models, and diffusion models. They can save up to 50% on the cost of training compared to comparable Amazon EC2 Instances. Trn2 instances can support up to 16 Trainium2 accelerations, delivering up to 3 petaflops FP16/BF16 computing power and 512GB of high bandwidth memory. Trn2 instances support up to 1600 Gbps second-generation Elastic Fabric Adapter network bandwidth. NeuronLink is a high-speed nonblocking interconnect that facilitates efficient data and models parallelism. They are deployed as EC2 UltraClusters and can scale up to 30,000 Trainium2 processors interconnected by a nonblocking, petabit-scale, network, delivering six exaflops in compute performance. The AWS neuron SDK integrates with popular machine-learning frameworks such as PyTorch or TensorFlow.

You can easily create anti-affinity groups to spawn virtual servers at different data centers. This will ensure high availability. Security groups allow you to securely configure firewall rules across multiple instances. You can manage your team members and control who has access to your infrastructure using keypairs, organizations, and multi-factor authentication. Simple and intuitive interfaces make complex concepts simple to use for any size team. A trusted partner is essential when running critical production workloads in cloud. Our customer success engineers have assisted hundreds of customers across Europe to migrate, scale and scale cloud native production workloads. A partner that you can trust is crucial when running critical production workloads in cloud computing.

BVR CLOUD, a privately owned cloud hosting company in America, offers Cloud Products ranging from Managed Satellites to Virtual Machines. It currently offers more than 50 products. BVR CLOUD Products Virtual Machines Servers with Baremetal GPU Kubernetes Virtual Desktops One-time Bandwidth Object Storage Block Storage Longterm Store Longterm Store Plus Content Delivery Network Cloud firewall Satellites Managed Audio/Video Streaming Transcoder Loadbalancer, etc.

Amazon EC2 instances G5 are the latest generation NVIDIA GPU instances. They can be used to run a variety of graphics-intensive applications and machine learning use cases. They offer up to 3x faster performance for graphics-intensive apps and machine learning inference, and up to 3.33x faster performance for machine learning learning training when compared to Amazon G4dn instances. Customers can use G5 instance for graphics-intensive apps such as video rendering, gaming, and remote workstations to produce high-fidelity graphics real-time. Machine learning customers can use G5 instances to get a high-performance, cost-efficient infrastructure for training and deploying larger and more sophisticated models in natural language processing, computer visualisation, and recommender engines. G5 instances offer up to three times higher graphics performance, and up to forty percent better price performance compared to G4dn instances. They have more ray tracing processor cores than any other GPU based EC2 instance.

Amazon Elastic Compute Cloud Trn1 instances powered by AWS Trainium are designed for high-performance deep-learning training of generative AI model, including large language models, latent diffusion models, and large language models. Trn1 instances can save you up to 50% on the cost of training compared to other Amazon EC2 instances. Trn1 instances can be used to train 100B+ parameters DL and generative AI model across a wide range of applications such as text summarizations, code generation and question answering, image generation and video generation, fraud detection, and recommendation. The AWS neuron SDK allows developers to train models on AWS trainsium (and deploy them on the AWS Inferentia chip). It integrates natively into frameworks like PyTorch and TensorFlow, so you can continue to use your existing code and workflows for training models on Trn1 instances.

Amazon EC2 Inf1 instances were designed to deliver high-performance, cost-effective machine-learning inference. Amazon EC2 Inf1 instances offer up to 2.3x higher throughput, and up to 70% less cost per inference compared with other Amazon EC2 instance. Inf1 instances are powered by up to 16 AWS inference accelerators, designed by AWS. They also feature Intel Xeon Scalable 2nd generation processors, and up to 100 Gbps of networking bandwidth, to support large-scale ML apps. These instances are perfect for deploying applications like search engines, recommendation system, computer vision and speech recognition, natural-language processing, personalization and fraud detection. Developers can deploy ML models to Inf1 instances by using the AWS Neuron SDK. This SDK integrates with popular ML Frameworks such as TensorFlow PyTorch and Apache MXNet.

Amazon EC2 UltraClusters allow you to scale up to thousands of GPUs and machine learning accelerators such as AWS trainium, providing access to supercomputing performance on demand. They enable supercomputing to be accessible for ML, generative AI and high-performance computing through a simple, pay-as you-go model, without any setup or maintenance fees. UltraClusters are made up of thousands of accelerated EC2 instance co-located within a specific AWS Availability Zone and interconnected with Elastic Fabric Adapter networking to create a petabit scale non-blocking network. This architecture provides high-performance networking, and access to Amazon FSx, a fully-managed shared storage built on a parallel high-performance file system. It allows rapid processing of large datasets at sub-millisecond latency. EC2 UltraClusters offer scale-out capabilities to reduce training times for distributed ML workloads and tightly coupled HPC workloads.

Find, provision and configure AI-ready Cloud instances for development, training and deployment. Install CUDA and Python automatically, load the model and SSH in. Brev.dev can help you find a GPU to train or fine-tune your model. A single interface for AWS, GCP and Lambda GPU clouds. Use credits as you have them. Choose an instance based upon cost & availability. A CLI that automatically updates your SSH configuration, ensuring it is done securely. Build faster using a better development environment. Brev connects you to cloud providers in order to find the best GPU for the lowest price. It configures the GPU and wraps SSH so that your code editor can connect to the remote machine. Change your instance. Add or remove a graphics card. Increase the size of your hard drive. Set up your environment so that your code runs always and is easy to share or copy. You can either create your own instance or use a template. The console should provide you with a few template options.

Hyperstack, the ultimate self-service GPUaaS Platform, offers the H100 and A100 as well as the L40, and delivers its services to the most promising AI start ups in the world. Hyperstack was built for enterprise-grade GPU acceleration and optimised for AI workloads. NexGen Cloud offers enterprise-grade infrastructure for a wide range of users from SMEs, Blue-Chip corporations to Managed Service Providers and tech enthusiasts. Hyperstack, powered by NVIDIA architecture and running on 100% renewable energy, offers its services up to 75% cheaper than Legacy Cloud Providers. The platform supports diverse high-intensity workloads such as Generative AI and Large Language Modeling, machine learning and rendering.

Qubrid AI is a company that specializes in Artificial Intelligence. Its mission is to solve complex real-world problems across multiple industries. Qubrid AI’s software suite consists of AI Hub, an all-in-one shop for AI models, AI Compute GPU cloud and On-Prem appliances, and AI Data Connector. You can train infer-leading models, or your own custom creations. All within a streamlined and user-friendly interface. Test and refine models with ease. Then, deploy them seamlessly to unlock the power AI in your projects. AI Hub enables you to embark on a journey of AI, from conception to implementation, in a single powerful platform. Our cutting-edge AI Compute Platform harnesses the power from GPU Cloud and On Prem Server Appliances in order to efficiently develop and operate next generation AI applications. Qubrid is a team of AI developers, research teams and partner teams focused on enhancing the unique platform to advance scientific applications.

Virtualization Software for AI Infrastructure. Increase GPU utilization by having visibility and control over AI workloads. Run:AI has created the first virtualization layer in the world for deep learning training models. Run:AI abstracts workloads from the underlying infrastructure and creates a pool of resources that can dynamically provisioned. This allows for full utilization of costly GPU resources. You can control the allocation of costly GPU resources. The scheduling mechanism in Run:AI allows IT to manage, prioritize and align data science computing requirements with business goals. IT has full control over GPU utilization thanks to Run:AI's advanced monitoring tools and queueing mechanisms. IT leaders can visualize their entire infrastructure capacity and utilization across sites by creating a flexible virtual pool of compute resources.

Banana was founded to fill a critical market gap. Machine learning is highly demanded. But deploying models in production is a highly technical and complex process. Banana focuses on building machine learning infrastructures for the digital economy. We simplify the deployment process, making it as easy as copying and paste an API. This allows companies of any size to access and use the most up-to-date models. We believe the democratization and accessibility of machine learning is one of the key components that will fuel the growth of businesses on a global level. Banana is well positioned to take advantage of this technological gold rush.

Fal is a serverless Python Runtime that allows you to scale your code on the cloud without any infrastructure management. Build real-time AI apps with lightning-fast inferences (under 120ms). You can start building AI applications with some of the models that are ready to use. They have simple API endpoints. Ship custom model endpoints that allow for fine-grained control of idle timeout, maximum concurrency and autoscaling. APIs are available for models like Stable Diffusion Background Removal ControlNet and more. These models will be kept warm for free. Join the discussion and help shape the future AI. Scale up to hundreds GPUs and down to zero GPUs when idle. Pay only for the seconds your code runs. You can use fal in any Python project simply by importing fal and wrapping functions with the decorator.

Amazon EC2 instances P4d deliver high performance in cloud computing for machine learning applications and high-performance computing. They offer 400 Gbps networking and are powered by NVIDIA Tensor Core GPUs. P4d instances offer up to 60% less cost for training ML models. They also provide 2.5x better performance compared to the previous generation P3 and P3dn instance. P4d instances are deployed in Amazon EC2 UltraClusters which combine high-performance computing with networking and storage. Users can scale from a few NVIDIA GPUs to thousands, depending on their project requirements. Researchers, data scientists and developers can use P4d instances to build ML models to be used in a variety of applications, including natural language processing, object classification and detection, recommendation engines, and HPC applications.

Amazon Elastic Compute Cloud's (Amazon EC2) instances P5 powered by NVIDIA Tensor core GPUs and P5e or P5en instances powered NVIDIA Tensor core GPUs provide the best performance in Amazon EC2 when it comes to deep learning and high-performance applications. They can help you accelerate the time to solution up to four times compared to older GPU-based EC2 instance generation, and reduce costs to train ML models up to forty percent. These instances allow you to iterate faster on your solutions and get them to market quicker. You can use P5,P5e,and P5en instances to train and deploy increasingly complex large language and diffusion models that power the most demanding generative artificial intelligent applications. These applications include speech recognition, video and image creation, code generation and question answering. These instances can be used to deploy HPC applications for pharmaceutical discovery.

NVIDIA Base Command™ is an enterprise-class AI software service that allows businesses and their data scientists accelerate AI development. Base Command Platform, which is part of the NVIDIA DGX™ platform provides centralized, hybrid controls for AI training projects. It is compatible with NVIDIA DGX cloud and NVIDIA DGX superPOD. Base Command Platform in conjunction with NVIDIA's accelerated AI infrastructure provides a cloud hosted solution for AI development. Users can avoid the overheads and pitfalls associated with deploying and operating a DIY platform. Base Command Platform configures and manages AI workflows, provides integrated dataset management and executes them using the right-sized resources, ranging from a single GPU up to large-scale multi-node cloud clusters or on-premises. The platform is constantly updated by NVIDIA engineers and researchers, who rely on it daily.