Alternatives to Moonglow

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.

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.

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.

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.

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.

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.

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.

With just one click, you can access the global GPU resources. Instant access to a global network GPUs and CPUs. Spend much less on GPU computing than you would if you were to use the major public clouds, or buy your own servers. Engage with the cloud, customize your choice, and deploy in a matter seconds. You will be refunded if you terminate your cluster. You can also choose between cost and performance. With io.net you can turn your GPU into an income-generating machine. Our simple platform allows you rent out your GPU. Profitable, transparent and simple. Join the largest network of GPU Clusters in the world and earn sky-high returns. Earn much more with your GPU compute than even the best crypto mining pool. You will always know how much money you'll earn and when the job is complete, you'll be paid. The more you invest into your infrastructure, your returns will be higher.

NVIDIA virtual graphics (vGPU), software that enables powerful GPU performance, is available for a wide range of workloads from graphics-rich virtual desktops to data science or AI. This allows IT to take advantage of the management and security advantages of virtualization and the performance of NVIDIA's GPUs for modern workloads. NVIDIA's vGPU software, installed on a physical GPU within a cloud server or enterprise data center, creates virtual GPUs which can be shared between multiple virtual machines and accessed from anywhere. Deliver performance that is virtually indistinguishable to a bare-metal environment. Use common data center management software, such as live migration. GPU resources can be allocated with fractional or multiple GPU virtual machine (VMs) instances. Responsiveness to remote teams and changing business requirements.

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.

iRender Render Farm provides powerful GPU-accelerated cloud rendering for (Redshift Octane Blender V-Ray (RT), Arnold GPU UE5, Iray Omniverse etc.). Multi-GPU rendering tasks. Rent servers from the IaaS Render Farm (Infrastructure as a service) model and enjoy working on a scalable environment. iRender offers High-performance machines to render GPU-based & processor-based images on the cloud. You can use the power of a single GPU, multiple GPUs, or CPU machines to accelerate your render time. You can access the remote server via an RDP file. You can install any 3D design software you want, as well as render engines and 3D plugins. iRender supports a wide range of AI IDEs, AI frameworks and AI IDEs. This allows you to optimize your AI workflow.

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.

Open your own high-performance PC on any device, anywhere, anytime. With up to 96x2.8 Ghz and 1360GB of RAM, 16x NVIDIA 80GB, you can perform smoothly. You can increase the storage space or computer specs to suit your needs. We keep things simple so you can concentrate on what is really important - your project. {Pick one of our plans, depending if you want to use the Cloud PC individually or in a team.|Choose from our plans depending on whether you want to use Cloud PC as an individual or in a group.} Choose the hardware configuration you want to use. You can work on your Cloud Desktop in your browser or desktop app, wherever you are. Renderro Cloud Storage allows you to store all of your best designs and resources in one place. Cloud Storage is scalable. This means that you are not restricted by the size of your files and can manage the storage at any time. Cloud Drives can also be shared among multiple Cloud Desktops. This allows you to switch between machines without having to transfer media.

Kryptex is a cryptocurrency miner and pays you bitcoins, real-world money, dollars or any other currency. Complex distributed cryptocurrency computations require the combined processing power of thousands upon thousands of computers. Mining cryptocurrency can be difficult. Kryptex will do the hard work for you. We will pay you for it. Kryptex Payouts. You can withdraw bitcoins or transfer money directly to a bank account. The minimum withdrawal amount is $0.5. You want to be paid in another currency? No problem! We will pay you in bitcoins. You can then exchange bitcoins for local currency. Kryptex will evaluate your computer's performance and calculate your expected earnings. Once you sign up, you will have full control over your account. You can use browsers and other apps while Kryptex runs in the background. The moment you start mining, you will begin earning money.

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.

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.

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.

Lease Packet provides managed servers. We offer a wide range of servers which can be customized to your needs. Find the best dedicated, VPS, Cloud, GPU, Colocation, Streaming, 10 GBPS, Mass mailing, Storage servers and more. All in one place. Our services are available to businesses of any size. We can also help you optimize your AWS bill by becoming your AWS Billing Partner. We ensure that all AWS resources are used in the most efficient way to maximize your efficiency. All managed servers are backed by a 99% uptime and 24x7 support. We have the resources and expertise to help you achieve your goals, whether you are a startup or an established business. Visit our website to learn more about server solutions.

The increased demand for computing power is too much for conventional CPUs. GPU processors process data at speeds 100-200x faster than conventional CPUs. We offer servers that are designed specifically for machine learning or deep learning, and are equipped with unique features. Modern hardware based upon the NVIDIA®, GPU chipset. This has a high operating speed. The latest Tesla® V100 card with its high processing power. Optimized for deep-learning software, TensorFlow™, Caffe2, Torch, Theano, CNTK, MXNet™. Includes development tools for Python 2, Python 3 and C++. We do not charge extra fees for each service. Disk space and traffic are included in the price of the basic service package. Our servers can also be used to perform various tasks such as video processing, rendering etc. LeaderGPU®, customers can now access a graphical user interface via RDP.

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.

Cloud GPU Service provides GPU computing power and high-performance parallel computing. It is a powerful tool for the IaaS layer that delivers high computing power to deep learning training, scientific computation, graphics and image processors, video encoding/decoding, and other intensive workloads. Improve your business efficiency with high-performance parallel processing. Install your deployment environment quickly using preinstalled driver and GPU images, CUDA and cuDNN, and auto-installed GPU and CUDA drivers. TACO Kit is a computing acceleration engine that Tencent Cloud provides to accelerate distributed training and inference.

Cloudalize GPU-powered solutions provide flexibility, security, and agility for IIoT, Machine Learning and remote working. Cloudalize offers a wide range of GPU-powered Cloud solutions to help your business realize its true potential. Cloudalize's GPU-powered Desktop-as-a-Service solution (DaaS), allows you to design and render whatever you want using a wide range of professional software from the vendors you prefer. Our DaaS solution is quick to boot and allows companies to work remotely and collaborate from anywhere. It offers unparalleled processing power and is a highly efficient way to keep your operations running smoothly and without risk. Cloudalize's GPU-powered DaaS solution is ideal for small and medium enterprises/businesses, as well as larger organisations with thousands of users.

We put your budget first. By choosing our service, we guarantee that you will receive the assistance you need without exceeding your budget. We offer a flexible and agile product tailored to your needs. Each client receives a treatment that is highly customized. We are prepared to meet even the most demanding server configuration requirements. Each server we sell is assembled and tested personally. Qualified personnel and professional services are available for both experienced and newbies. We are not afraid of any project, no matter how complex. We have earned the respect of our clients and built a solid reputation. We speak the language spoken by IT specialists, from sales to support on a daily basis. Resellers and affiliates are offered superior conditions.

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 help you reduce cloud costs so that you can focus on creating amazing solutions. NodeShift can be found anywhere on the globe. No matter where you deploy, enjoy increased privacy. Your data will remain accessible even if the entire electricity grid of a country goes down. This is the ideal way for companies of all ages to gradually move into a distributed, affordable cloud at their pace. The most affordable compute and GPU based virtual machines. The NodeShift Platform aggregates multiple independent data centres across the globe and a variety of existing decentralized technologies under one hood, such as Akash Filecoin ThreeFold and many others, with an accent on affordable prices and friendly UX. Payment for cloud services is easy and straightforward. Every business can access the same interfaces and benefits as the traditional cloud, including affordability, privacy and resilience.

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.

Platform with NVIDIA H100 Tensor core GPUs. Competitive pricing. Support from a dedicated team. Built for large-scale ML workloads. Get the most from multihost training with thousands of H100 GPUs in full mesh connections using the latest InfiniBand networks up to 3.2Tb/s. Best value: Save up to 50% on GPU compute when compared with major public cloud providers*. You can save even more by purchasing GPUs in large quantities and reserving GPUs. Onboarding assistance: We provide a dedicated engineer to ensure smooth platform adoption. Get your infrastructure optimized, and k8s installed. Fully managed Kubernetes - Simplify the deployment and scaling of ML frameworks using Kubernetes. Use Managed Kubernetes to train GPUs on multiple nodes. Marketplace with ML Frameworks: Browse our Marketplace to find ML-focused libraries and applications, frameworks, and tools that will streamline your model training. Easy to use. All new users are entitled to a one-month free trial.

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.

Persistence container technology allows for lightweight operation. Pay-per-use in just seconds, not hours or months. The next month, fees will be paid via credit card. Low price for high performance. Oak Ridge National Laboratory will install it in the fastest supercomputer in the world. Machine learning applications such as deep learning, computational fluid dynamic, video encoding and 3D graphics workstations, 3D renderings, VFXs, computational finance, seismic analyses, molecular modelling, genomics, and server-side GPU computing workloads.

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.

Cloud GPU servers are a type cloud computing service which provides access to remote servers equipped with Graphics Processing Units. These GPUs are designed for complex, high-speed parallel computations. They perform at a rate much faster than conventional central processor units (CPUs). NVIDIA K40 and K80 GPU models are available. The GPUs offer a variety of computing options to meet your business needs. Nvidia GPU cloud server allows designers to quickly iterate as rendering time is reduced. Your team's productivity will increase significantly if you invest your time in innovation instead of rendering or computing. Data security is ensured by fully isolating the resources allocated to each user. GPU Mart protects from DDoS at the edge while ensuring that legitimate traffic to Nvidia GPU cloud servers is not compromised.

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.

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 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.

Oracle Cloud Infrastructure offers fast, flexible, affordable compute capacity that can be used to support any workload, from lightweight containers to performant bare metal servers to VMs and VMs. OCI Compute offers a unique combination of bare metal and virtual machines for optimal price-performance. You can choose exactly how many cores and memory your applications require. High performance for enterprise workloads Serverless computing simplifies application development. Kubernetes, containers and other technologies are available. NVIDIA GPUs are used for scientific visualization, machine learning, and other graphics processing. Capabilities include RDMA, high performance storage and network traffic isolation. Oracle Cloud Infrastructure consistently delivers better pricing performance than other cloud providers. Virtual machine-based (VM), shapes allow for custom core and memory combinations. Customers can choose a number of cores to optimize their costs.

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.

After the advent of GPU Computing and the horizons that it expanded in the fields of Data Science and Programming, as well as Computer Graphics, the need for reliable and cost-effective GPU Server rental services arose. We're here to help. You can use our powerful dedicated GPU servers for GPU 3D render. Xesktop's high-performance servers are ideal for rendering intensive workloads. Each server is built on dedicated hardware, so you get maximum GPU performance without any compromises. Maximize GPU capabilities for engines such as Octane, Cycles, Redshift or any other engine. You can connect at any time to a server, or multiple servers, using your existing Windows System Image. All images you create can be reused. Use the server like it was your personal computer.

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.

Our high-throughput systems can serve millions small random files to GPU based training servers, accelerating the overall training time. We offer high-bandwidth networks with low latency for connecting training servers and transporting data from storage to servers. You may be charged extra fees by other cloud providers to remove your data from their storage clouds. These charges can quickly add up. We consider ourselves as an extension of your team. We help you set up scheduling, provide best practices and superior support. Workflows vary from one company to another. Cirrascale will work with you to find the best solution for you. Cirrascale works with you to customize your cloud instances in order to improve performance, remove bottlenecks and optimize your workflow. Cloud-based solutions that accelerate your training, simulation and re-simulation times.

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.

Launch immediately with preconfigured machine learning tasks. GPUs are highly in demand with the current AI wave. Renting GPUs to AI companies, universities and hobbyists can earn you a massive return on investment (40 to 150%). Rent your GPUs in a few clicks and enjoy high utilization rates. GPUDeploy provides low-cost GPUs on demand for machine learning and artificial intelligence. You can also connect your GPUs and manage them to earn money.

Each cloud compute provider has their own interface, naming convention and pricing systems that make direct comparison shopping difficult. Vendor lock-in further entrenches higher pricing once you select a single vendor. VAST’s search interface allows for fair comparison from all kinds of providers, from hobbyists to Tier 4 data centers. Start saving 4-6X today and get setup on a single interface that connects you to a VAST marketplace.

Spend less time and money on your infrastructure and more on your business. Get more value out of your GPU investment. Our platform is where simplicity meets complexity, providing clients with a seamless interface to tap into a network of AI nodes around the world. Node AI distributes the computational tasks submitted by clients across our high-performance network of AI nodes. The tasks are processed simultaneously, leveraging the power of L1 Blockchain to ensure secure, efficient and verifiable computing. Verified results are returned to clients in encrypted form, ensuring confidentiality.

Elastic computing instances with GPU computing accelerations suitable for scenarios such as artificial intelligence (specifically, deep learning and machine-learning), high-performance computing and professional graphics processing. Elastic GPU Service is a complete service that combines both software and hardware. It helps you to flexibly allocate your resources, elastically scale up your system, increase computing power, and reduce the cost of your AI business. It is applicable to scenarios (such a deep learning, video decoding and encoding, video processing and scientific computing, graphical visualisation, and cloud gaming). Elastic GPU Service offers GPU-accelerated computing and ready-to use, scalable GPU computing resource. GPUs are unique in their ability to perform mathematical and geometric computations, particularly floating-point computing and parallel computing. GPUs have 100 times more computing power than their CPU counterparts.

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.

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.

CORE is a high performance computing platform that can be used for a variety of applications. CORE is easy to use with its point-and-click interface. You can run the most complex applications. CORE provides unlimited computing power on-demand. Cloud computing is available without the high-cost. CORE for teams offers powerful tools that allow you to sort, filter, create, connect, and create users, machines, networks, and machines. With an intuitive and simple GUI, it's easier than ever to see all of your infrastructure from one place. It is easy to add Active Directory integration or VPN through our simple but powerful management console. It's now possible to do things that used to take days, or even weeks. Even complex network configurations can be managed with just a few clicks.

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.

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.

At competitive prices, you can access dedicated machines that are pre-configured with professional AI development tools. Apolo offers everything from HPC resources to a complete AI platform with a built-in ML toolkit. Apolo is available in a distributed architecture or as a dedicated enterprise cloud. It can also be deployed as a white-label multi-tenant solution that supports dedicated instances or self service cloud. Apolo creates a fully-fledged AI development environment, with all the tools needed at your fingertips. Apolo automates and manages the infrastructure for successful AI development. Apolo's AI services seamlessly integrate your on-prem resources and cloud resources. They also deploy pipelines and integrate your commercial and open-source development tools. Apolo provides enterprises with the resources and tools necessary to achieve breakthroughs when it comes to AI.