Alternatives to Pi Cloud
Compare Pi Cloud alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Pi Cloud in 2026. Compare features, ratings, user reviews, pricing, and more from Pi Cloud competitors and alternatives in order to make an informed decision for your business.
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Servers.com by Nexcess
Nexcess
Servers.com by Nexcess provides hybrid bare metal cloud infrastructure designed to help businesses scale, customize, and manage their server environments from a unified platform. The company offers a range of solutions including Scalable Bare Metal, Enterprise Bare Metal, AI Compute, and Managed Kubernetes to support diverse workload requirements. Its global network of strategically located data centers helps organizations reduce latency and improve performance for users around the world. Servers.com serves industries such as gaming, fintech, adtech, streaming, SaaS, iGaming, and Web3, delivering reliable infrastructure tailored to each sector's needs. The platform combines dedicated bare metal resources with flexible deployment options to help businesses balance performance, scalability, and cost. With high-performance networking, resource isolation, and global connectivity, Servers.com enables organizations to support mission-critical applications and demanding workloads. -
2
Google Compute Engine
Google
Compute Engine is Google's infrastructure as a service (IaaS) platform for organizations to create and run cloud-based virtual machines. Computing infrastructure in predefined or custom machine sizes to accelerate your cloud transformation. General purpose (E2, N1, N2, N2D) machines provide a good balance of price and performance. Compute optimized (C2) machines offer high-end vCPU performance for compute-intensive workloads. Memory optimized (M2) machines offer the highest memory and are great for in-memory databases. Accelerator optimized (A2) machines are based on the A100 GPU, for very demanding applications. Integrate Compute with other Google Cloud services such as AI/ML and data analytics. Make reservations to help ensure your applications have the capacity they need as they scale. Save money just for running Compute with sustained-use discounts, and achieve greater savings when you use committed-use discounts. -
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Runpod
Runpod
Runpod offers a cloud-based platform designed for running AI workloads, focusing on providing scalable, on-demand GPU resources to accelerate machine learning (ML) model training and inference. With its diverse selection of powerful GPUs like the NVIDIA A100, RTX 3090, and H100, Runpod supports a wide range of AI applications, from deep learning to data processing. The platform is designed to minimize startup time, providing near-instant access to GPU pods, and ensures scalability with autoscaling capabilities for real-time AI model deployment. Runpod also offers serverless functionality, job queuing, and real-time analytics, making it an ideal solution for businesses needing flexible, cost-effective GPU resources without the hassle of managing infrastructure. -
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IONOS Cloud GPU Servers
IONOS
IONOS GPU Servers provide an accelerated computing infrastructure designed to handle workloads that require significantly more processing power than traditional CPU-based systems. It integrates enterprise-grade NVIDIA GPUs such as the H100, H200, and L40s, as well as specialized AI accelerators like Intel Gaudi, enabling massive parallel processing for compute-intensive applications. GPU-accelerated instances extend cloud infrastructure with dedicated graphics processors so virtual machines can perform complex calculations and data-heavy operations much faster than conventional servers. It is particularly suitable for artificial intelligence, deep learning, and data science tasks that involve training models on large datasets or performing high-speed inference operations. It also supports big data analytics, scientific simulations, and visualization workloads such as 3D rendering or modeling that require high computational throughput.Starting Price: $3,990 per month -
5
CoreWeave
CoreWeave
CoreWeave is a cloud infrastructure provider specializing in GPU-based compute solutions tailored for AI workloads. The platform offers scalable, high-performance GPU clusters that optimize the training and inference of AI models, making it ideal for industries like machine learning, visual effects (VFX), and high-performance computing (HPC). CoreWeave provides flexible storage, networking, and managed services to support AI-driven businesses, with a focus on reliability, cost efficiency, and enterprise-grade security. The platform is used by AI labs, research organizations, and businesses to accelerate their AI innovations. -
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Impossible Cloud
Impossible Cloud
Impossible Cloud is an enterprise cloud platform that delivers high-performance object storage, dedicated bare metal GPU servers, and managed AI infrastructure for data-intensive workloads. Its S3-compatible object storage provides scalable cloud storage with enterprise security, high availability, and transparent pricing that eliminates egress fees and vendor lock-in. The platform also offers dedicated bare metal GPU servers that provide direct hardware access without virtualization, enabling maximum performance for AI training and inference workloads. Managed AI services include LLM inference, model deployment, Kubernetes, and high-performance computing to simplify AI infrastructure management. Impossible Cloud emphasizes enterprise-grade security through ISO 27001, SOC 2, GDPR compliance, encryption, and customer-controlled access to data.Starting Price: $7.99 per month -
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Hyperstack
Hyperstack Cloud
Hyperstack is the ultimate self-service, on-demand GPUaaS Platform offering the H100, A100, L40 and more, delivering its services to some of the most promising AI start-ups in the world. Hyperstack is built for enterprise-grade GPU-acceleration and optimised for AI workloads, offering NexGen Cloud’s enterprise-grade infrastructure to a wide spectrum of users, from SMEs to Blue-Chip corporations, Managed Service Providers, and tech enthusiasts. Running on 100% renewable energy and powered by NVIDIA architecture, Hyperstack offers its services at up to 75% more cost-effective than Legacy Cloud Providers. The platform supports a diverse range of high-intensity workloads, such as Generative AI, Large Language Modelling, machine learning, and rendering.Starting Price: $0.18 per GPU per hour -
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NVIDIA Run:ai
NVIDIA
NVIDIA Run:ai is an enterprise platform designed to optimize AI workloads and orchestrate GPU resources efficiently. It dynamically allocates and manages GPU compute across hybrid, multi-cloud, and on-premises environments, maximizing utilization and scaling AI training and inference. The platform offers centralized AI infrastructure management, enabling seamless resource pooling and workload distribution. Built with an API-first approach, Run:ai integrates with major AI frameworks and machine learning tools to support flexible deployment anywhere. It also features a powerful policy engine for strategic resource governance, reducing manual intervention. With proven results like 10x GPU availability and 5x utilization, NVIDIA Run:ai accelerates AI development cycles and boosts ROI. -
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Verda
Verda
Verda is a frontier AI cloud platform delivering premium GPU servers, clusters, and model inference services powered by NVIDIA®. Built for speed, scalability, and simplicity, Verda enables teams to deploy AI workloads in minutes with pay-as-you-go pricing. The platform offers on-demand GPU instances, custom-managed clusters, and serverless inference with zero setup. Verda provides instant access to high-performance NVIDIA Blackwell GPUs, including B200 and GB300 configurations. All infrastructure runs on 100% renewable energy, supporting sustainable AI development. Developers can start, stop, or scale resources instantly through an intuitive dashboard or API. Verda combines dedicated hardware, expert support, and enterprise-grade security to deliver a seamless AI cloud experience.Starting Price: $3.01 per hour -
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Phala
Phala
Phala is a hardware-secured cloud platform designed to help organizations deploy confidential AI with verifiable trust and enterprise-grade privacy. Using Trusted Execution Environments (TEEs), Phala ensures that AI models, data, and computations run inside fully isolated, encrypted environments that even cloud providers cannot access. The platform includes pre-configured confidential AI models, confidential VMs, and GPU TEE support for NVIDIA H100, H200, and B200 hardware, delivering near-native performance with complete privacy. With Phala Cloud, developers can build, containerize, and deploy encrypted AI applications in minutes while relying on automated attestations and strong compliance guarantees. Phala powers sensitive workloads across finance, healthcare, AI SaaS, decentralized AI, and other privacy-critical industries. Trusted by thousands of developers and enterprise customers, Phala enables businesses to build AI that users can trust.Starting Price: $50.37/month -
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NVIDIA Confidential Computing secures data in use, protecting AI models and workloads as they execute, by leveraging hardware-based trusted execution environments built into NVIDIA Hopper and Blackwell architectures and supported platforms. It enables enterprises to deploy AI training and inference, whether on-premises, in the cloud, or at the edge, with no changes to model code, while ensuring the confidentiality and integrity of both data and models. Key features include zero-trust isolation of workloads from the host OS or hypervisor, device attestation to verify that only legitimate NVIDIA hardware is running the code, and full compatibility with shared or remote infrastructure for ISVs, enterprises, and multi-tenant environments. By safeguarding proprietary AI models, inputs, weights, and inference activities, NVIDIA Confidential Computing enables high-performance AI without compromising security or performance.
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NVIDIA DGX Cloud
NVIDIA
NVIDIA DGX Cloud offers a fully managed, end-to-end AI platform that leverages the power of NVIDIA’s advanced hardware and cloud computing services. This platform allows businesses and organizations to scale AI workloads seamlessly, providing tools for machine learning, deep learning, and high-performance computing (HPC). DGX Cloud integrates seamlessly with leading cloud providers, delivering the performance and flexibility required to handle the most demanding AI applications. This service is ideal for businesses looking to enhance their AI capabilities without the need to manage physical infrastructure. -
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E2E Cloud
E2E Networks
E2E Cloud provides advanced cloud solutions tailored for AI and machine learning workloads. We offer access to cutting-edge NVIDIA GPUs, including H200, H100, A100, L40S, and L4, enabling businesses to efficiently run AI/ML applications. Our services encompass GPU-intensive cloud computing, AI/ML platforms like TIR built on Jupyter Notebook, Linux and Windows cloud solutions, storage cloud with automated backups, and cloud solutions with pre-installed frameworks. E2E Networks emphasizes a high-value, top-performance infrastructure, boasting a 90% cost reduction in monthly cloud bills for clients. Our multi-region cloud is designed for performance, reliability, resilience, and security, serving over 15,000 clients. Additional features include block storage, load balancers, object storage, one-click deployment, database-as-a-service, API & CLI access, and a content delivery network.Starting Price: $0.012 per hour -
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Rafay
Rafay
Founded in 2017, Rafay transforms compute infrastructure into AI platforms, self-service cloud environments, and revenue-generating services — for enterprises, neoclouds, and sovereign AI clouds. From the moment hardware is racked — GPUs, VMs, bare metal, or any compute type — Rafay makes it immediately productive. Enterprises get developer self-service, AI workload delivery, and governance at scale. Cloud providers and sovereign clouds get the complete platform to launch AI services and monetize compute investment, including Token Factory for token-metered AI delivery and SLURM-as-a-Service for elastic HPC. Rafay is the only NVIDIA-certified reference architecture for GPU infrastructure delivery. GigaOm Leader and Outperformer, Kubernetes and AI Infrastructure Management, 2025. -
15
Civo
Civo
Civo is a cloud-native platform designed to simplify cloud computing for developers and businesses, offering fast, predictable, and scalable infrastructure. It provides managed Kubernetes clusters with industry-leading launch times of around 90 seconds, enabling users to deploy and scale applications efficiently. Civo’s offering includes enterprise-class compute instances, managed databases, object storage, load balancers, and cloud GPUs powered by NVIDIA A100 for AI and machine learning workloads. Their billing model is transparent and usage-based, allowing customers to pay only for the resources they consume with no hidden fees. Civo also emphasizes sustainability with carbon-neutral GPU options. The platform is trusted by industry-leading companies and offers a robust developer experience through easy-to-use dashboards, APIs, and educational resources.Starting Price: $250 per month -
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WhiteFiber
WhiteFiber
WhiteFiber is a vertically integrated AI infrastructure platform offering high-performance GPU cloud and HPC colocation solutions tailored for AI/ML workloads. Its cloud platform is purpose-built for machine learning, large language models, and deep learning, featuring NVIDIA H200, B200, and GB200 GPUs, ultra-fast Ethernet and InfiniBand networking, and up to 3.2 Tb/s GPU fabric bandwidth. WhiteFiber's infrastructure supports seamless scaling from hundreds to tens of thousands of GPUs, with flexible deployment options including bare metal, containers, and virtualized environments. It ensures enterprise-grade support and SLAs, with proprietary cluster management, orchestration, and observability software. WhiteFiber's data centers provide AI and HPC-optimized colocation with high-density power, direct liquid cooling, and accelerated deployment timelines, along with cross-data center dark fiber connectivity for redundancy and scale. -
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IREN Cloud
IREN
IREN’s AI Cloud is a GPU-cloud platform built on NVIDIA reference architecture and non-blocking 3.2 TB/s InfiniBand networking, offering bare-metal GPU clusters designed for high-performance AI training and inference workloads. The service supports a range of NVIDIA GPU models with specifications such as large amounts of RAM, vCPUs, and NVMe storage. The cloud is fully integrated and vertically controlled by IREN, giving clients operational flexibility, reliability, and 24/7 in-house support. Users can monitor performance metrics, optimize GPU spend, and maintain secure, isolated environments with private networking and tenant separation. It allows deployment of users’ own data, models, frameworks (TensorFlow, PyTorch, JAX), and container technologies (Docker, Apptainer) with root access and no restrictions. It is optimized to scale for demanding applications, including fine-tuning large language models. -
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Skyportal
Skyportal
Skyportal is a GPU cloud platform built for AI engineers, offering 50% less cloud costs and 100% GPU performance. It provides a cost-effective GPU infrastructure for machine learning workloads, eliminating unpredictable cloud bills and hidden fees. Skyportal has seamlessly integrated Kubernetes, Slurm, PyTorch, TensorFlow, CUDA, cuDNN, and NVIDIA Drivers, fully optimized for Ubuntu 22.04 LTS and 24.04 LTS, allowing users to focus on innovating and scaling with ease. It offers high-performance NVIDIA H100 and H200 GPUs optimized specifically for ML/AI workloads, with instant scalability and 24/7 expert support from a team that understands ML workflows and optimization. Skyportal's transparent pricing and zero egress fees provide predictable costs for AI infrastructure. Users can share their AI/ML project requirements and goals, deploy models within the infrastructure using familiar tools and frameworks, and scale their infrastructure as needed.Starting Price: $2.40 per hour -
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FPT Cloud
FPT Cloud
FPT Cloud is a next‑generation cloud computing and AI platform that streamlines innovation by offering a robust, modular ecosystem of over 80 services, from compute, storage, database, networking, and security to AI development, backup, disaster recovery, and data analytics, built to international standards. Its offerings include scalable virtual servers with auto‑scaling and 99.99% uptime; GPU‑accelerated infrastructure tailored for AI/ML workloads; FPT AI Factory, a comprehensive AI lifecycle suite powered by NVIDIA supercomputing (including infrastructure, model pre‑training, fine‑tuning, model serving, AI notebooks, and data hubs); high‑performance object and block storage with S3 compatibility and encryption; Kubernetes Engine for managed container orchestration with cross‑cloud portability; managed database services across SQL and NoSQL engines; multi‑layered security with next‑gen firewalls and WAFs; centralized monitoring and activity logging. -
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NeevCloud
NeevCloud
NeevCloud is a full-stack AI SuperCloud for building, training, fine-tuning, and deploying AI models at scale. Access GPU AI Services powered by NVIDIA H100, B200, and GB200 NVL72; a pay-per-token Model API supporting Llama 3, Mixtral, Qwen, and Stable Diffusion; and Agentic Studio for building, testing, and shipping AI agents with built-in governance and observability. The platform is Kubernetes-native, OpenAI-compatible, and designed for zero lock-in with no egress fees and transparent pricing. Cloud Servers, Snapshots, Load Balancers, and Orchestration round out the IaaS layer. S3-compatible object storage is available through Zata.ai. NeevCloud owns every infrastructure layer, from GPU clusters to AI orchestration software, delivering strong price-to-performance, data sovereignty, and instant GPU access with no waiting lists. Built for AI startups, ML engineers, data scientists, enterprises, and research institutions scaling AI workloads.Starting Price: $1.69/GPU/hour -
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OneSource Cloud
OneSource Cloud
OneSource Cloud designs, builds, and manages sovereign AI infrastructure for organizations in regulated industries that cannot run sensitive workloads on public cloud: healthcare and life sciences, financial services, government and defense, energy, legal, and research. We deliver dedicated GPU compute as a managed service. Scope covers cluster design, hardware procurement, data center colocation, deployment, and ongoing operations. Clusters use NVIDIA GPUs with InfiniBand interconnect for multi-node training and inference, backed by high-performance storage and private networking. Each customer gets an isolated, single-tenant environment, so data and models never share hardware with another tenant. Managed services include capacity planning, provisioning, workload scheduling, monitoring, patching, and support. Environments are configured to the customer's compliance requirements, including NIST 800-171 and data residency controls. We operate 20,000+ GPUs across 96+ DCs -
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HPC-AI
HPC-AI
HPC-AI is an enterprise AI infrastructure and GPU cloud platform designed to accelerate deep learning training, inference, and large-scale compute workloads with high performance and cost efficiency. It delivers a pre-configured AI-optimized stack that enables rapid deployment and real-time inference while supporting demanding workloads that require high IOPS, ultra-low latency, and massive throughput. It provides a robust GPU cloud environment built for artificial intelligence, high-performance computing, and other compute-intensive applications, giving teams the tools needed to run complex workflows efficiently. At its core, the company’s software focuses on parallel and distributed training, inference, and fine-tuning of large neural networks, helping organizations reduce infrastructure costs while maintaining performance. It is powered in part by technologies such as Colossal-AI, which significantly accelerates model training and improves productivity.Starting Price: $3.05 per hour -
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Crusoe
Crusoe
Crusoe provides a cloud infrastructure specifically designed for AI workloads, featuring state-of-the-art GPU technology and enterprise-grade data centers. The platform offers AI-optimized computing, featuring high-density racks and direct liquid-to-chip cooling for superior performance. Crusoe’s system ensures reliable and scalable AI solutions with automated node swapping, advanced monitoring, and a customer success team that supports businesses in deploying production AI workloads. Additionally, Crusoe prioritizes sustainability by sourcing clean, renewable energy, providing cost-effective services at competitive rates. -
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Lambda
Lambda.ai
Lambda provides high-performance supercomputing infrastructure built specifically for training and deploying advanced AI systems at massive scale. Its Superintelligence Cloud integrates high-density power, liquid cooling, and state-of-the-art NVIDIA GPUs to deliver peak performance for demanding AI workloads. Teams can spin up individual GPU instances, deploy production-ready clusters, or operate full superclusters designed for secure, single-tenant use. Lambda’s architecture emphasizes security and reliability with shared-nothing designs, hardware-level isolation, and SOC 2 Type II compliance. Developers gain access to the world’s most advanced GPUs, including NVIDIA GB300 NVL72, HGX B300, HGX B200, and H200 systems. Whether testing prototypes or training frontier-scale models, Lambda offers the compute foundation required for superintelligence-level performance. -
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NVIDIA GPU-Optimized AMI
Amazon
The NVIDIA GPU-Optimized AMI is a virtual machine image for accelerating your GPU accelerated Machine Learning, Deep Learning, Data Science and HPC workloads. Using this AMI, you can spin up a GPU-accelerated EC2 VM instance in minutes with a pre-installed Ubuntu OS, GPU driver, Docker and NVIDIA container toolkit. This AMI provides easy access to NVIDIA's NGC Catalog, a hub for GPU-optimized software, for pulling & running performance-tuned, tested, and NVIDIA certified docker containers. The NGC catalog provides free access to containerized AI, Data Science, and HPC applications, pre-trained models, AI SDKs and other resources to enable data scientists, developers, and researchers to focus on building and deploying solutions. This GPU-optimized AMI is free with an option to purchase enterprise support offered through NVIDIA AI Enterprise. For how to get support for this AMI, scroll down to 'Support Information'Starting Price: $3.06 per hour -
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GMI Cloud
GMI Cloud
GMI Cloud provides a complete platform for building scalable AI solutions with enterprise-grade GPU access and rapid model deployment. Its Inference Engine offers ultra-low-latency performance optimized for real-time AI predictions across a wide range of applications. Developers can deploy models in minutes without relying on DevOps, reducing friction in the development lifecycle. The platform also includes a Cluster Engine for streamlined container management, virtualization, and GPU orchestration. Users can access high-performance GPUs, InfiniBand networking, and secure, globally scalable infrastructure. Paired with popular open-source models like DeepSeek R1 and Llama 3.3, GMI Cloud delivers a powerful foundation for training, inference, and production AI workloads.Starting Price: $2.50 per hour -
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packet.ai
packet.ai
packet.ai is a GPU cloud platform built to give developers and AI teams fast access to high-performance computing without the complexity and inefficiencies of traditional cloud infrastructure. It provides on-demand GPU instances, including modern NVIDIA hardware, that can be launched in seconds and accessed through tools like SSH, Jupyter, or VS Code, enabling users to quickly start training models, running inference, or experimenting with AI workloads. It introduces a different approach to GPU usage by dynamically allocating resources based on real-time workload demands, rather than treating a GPU as a fixed unit, allowing multiple compatible workloads to share hardware efficiently while maintaining predictable performance. This results in higher utilization and eliminates the need to pay for idle capacity, focusing instead on the exact compute resources consumed. packet.ai also offers an OpenAI-compatible API for language model inference, embeddings, and fine-tuning, etc.Starting Price: $0.39/hour -
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Dapple
Dapple
Dapple is an Enterprise OS Cloud built for regulated enterprises and AI-native companies that need dedicated AI infrastructure without compromising on isolation, data residency, governance, or performance. It sits between the public cloud and the private data center, combining dedicated, single-tenant GPU infrastructure with orchestration, compliance, connectivity, observability, and operations through one control plane. Topology-aware placement, multi-GPU scheduling, fault-domain isolation, and reserved clusters provide predictable performance without noisy neighbors. Private connectivity extends existing cloud environments directly to dedicated compute, while identity, container orchestration, threat protection, and governance policies continue working across the deployment. Compliance is enforced at the architecture level before workloads execute, supporting in-country data residency, audit requirements, and regulatory frameworks. -
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Compute with Hivenet
Hivenet
Compute with Hivenet is the world's first truly distributed cloud computing platform, providing reliable and affordable on-demand computing power from a certified network of contributors. Designed for AI model training, inference, and other compute-intensive tasks, it provides secure, scalable, and on-demand GPU resources at up to 70% cost savings compared to traditional cloud providers. Powered by RTX 4090 GPUs, Compute rivals top-tier platforms, offering affordable, transparent pricing with no hidden fees. Compute is part of the Hivenet ecosystem, a comprehensive suite of distributed cloud solutions that prioritizes sustainability, security, and affordability. Through Hivenet, users can leverage their underutilized hardware to contribute to a powerful, distributed cloud infrastructure.Starting Price: $0.10/hour -
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HorizonIQ
HorizonIQ
HorizonIQ is a comprehensive IT infrastructure provider offering managed private cloud, bare metal servers, GPU clusters, and hybrid cloud solutions designed for performance, security, and cost efficiency. Our managed private cloud services, powered by Proxmox VE or VMware, deliver dedicated virtualized environments ideal for AI workloads, general computing, and enterprise applications. HorizonIQ's hybrid cloud solutions enable seamless integration between private infrastructure and over 280 public cloud providers, facilitating real-time scalability and cost optimization. Our packages offer all-in-one solutions combining compute, network, storage, and security, tailored for various workloads from web applications to high-performance computing. With a focus on single-tenant environments, HorizonIQ ensures compliance with standards like HIPAA, SOC 2, and PCI DSS, while providing 1a 00% uptime SLA and proactive management through their Compass portal. -
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Intel Tiber AI Cloud
Intel
Intel® Tiber™ AI Cloud is a powerful platform designed to scale AI workloads with advanced computing resources. It offers specialized AI processors, such as the Intel Gaudi AI Processor and Max Series GPUs, to accelerate model training, inference, and deployment. Optimized for enterprise-level AI use cases, this cloud solution enables developers to build and fine-tune models with support for popular libraries like PyTorch. With flexible deployment options, secure private cloud solutions, and expert support, Intel Tiber™ ensures seamless integration, fast deployment, and enhanced model performance.Starting Price: Free -
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Radiant
Radiant
Radiant is a fully integrated AI infrastructure platform designed to deliver end-to-end capabilities for building and scaling AI systems. It combines compute, software, energy, and capital into a unified ecosystem, enabling organizations to move from concept to deployment efficiently. Radiant’s AI Cloud includes NVIDIA-accelerated computing along with MLOps tools such as inference, fine-tuning, model registry, and serverless Kubernetes. Its proprietary software platform supports intelligent scheduling, automated node management, and secure multi-tenancy for large-scale operations. With infrastructure designed to scale from thousands to over 100,000 GPUs, Radiant ensures consistent performance and operational control. The platform also integrates energy solutions through its powered-land portfolio, optimizing costs and sustainability. Backed by significant capital resources, Radiant can support large-scale AI initiatives globally.Starting Price: $3.24 per month -
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Google Cloud GPUs
Google
Speed up compute jobs like machine learning and HPC. A wide selection of GPUs to match a range of performance and price points. Flexible pricing and machine customizations to optimize your workload. High-performance GPUs on Google Cloud for machine learning, scientific computing, and 3D visualization. NVIDIA K80, P100, P4, T4, V100, and A100 GPUs provide a range of compute options to cover your workload for each cost and performance need. Optimally balance the processor, memory, high-performance disk, and up to 8 GPUs per instance for your individual workload. All with the per-second billing, so you only pay only for what you need while you are using it. Run GPU workloads on Google Cloud Platform where you have access to industry-leading storage, networking, and data analytics technologies. Compute Engine provides GPUs that you can add to your virtual machine instances. Learn what you can do with GPUs and what types of GPU hardware are available.Starting Price: $0.160 per GPU -
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Voltage Park
Voltage Park
Voltage Park is a next-generation GPU cloud infrastructure provider, offering on-demand and reserved access to NVIDIA HGX H100 GPUs housed in Dell PowerEdge XE9680 servers, each equipped with 1TB of RAM and v52 CPUs. Their six Tier 3+ data centers across the U.S. ensure high availability and reliability, featuring redundant power, cooling, network, fire suppression, and security systems. A state-of-the-art 3200 Gbps InfiniBand network facilitates high-speed communication and low latency between GPUs and workloads. Voltage Park emphasizes uncompromising security and compliance, utilizing Palo Alto firewalls and rigorous protocols, including encryption, access controls, monitoring, disaster recovery planning, penetration testing, and regular audits. With a massive inventory of 24,000 NVIDIA H100 Tensor Core GPUs, Voltage Park enables scalable compute access ranging from 64 to 8,176 GPUs.Starting Price: $1.99 per hour -
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NVIDIA Brev
NVIDIA
NVIDIA Brev is a cloud-based platform that provides instant access to fully configured GPU environments optimized for AI and machine learning development. Its Launchables feature offers prebuilt, customizable compute setups that let developers start projects quickly without complex setup or configuration. Users can create Launchables by specifying GPU resources, Docker images, and project files, then share them easily with collaborators. The platform also offers prebuilt Launchables featuring the latest AI frameworks, microservices, and NVIDIA Blueprints to jumpstart development. NVIDIA Brev provides a seamless GPU sandbox with support for CUDA, Python, and Jupyter Lab accessible via browser or CLI. This enables developers to fine-tune, train, and deploy AI models with minimal friction and maximum flexibility.Starting Price: $0.04 per hour -
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Sesterce
Sesterce
Sesterce Cloud offers the seamless and simplest way to launch a GPU Cloud instance, in bare-metal or virtualized mode. Our platform is tailored to allow early-stage teams to collaborate, for training or deploying AI solutions through a large range of NVIDIA and AMD products and optimized pricing, in over 50 regions worldwide. We also offer packaged, turnkey AI solutions for companies that want to rapidly deploy tools to automate their processes, or develop new sources of growth. All with integrated customer support, 99.9% uptime, unlimited storage capacity.Starting Price: $0.30/GPU/hr -
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Parasail
Parasail
Parasail is an AI deployment network offering scalable, cost-efficient access to high-performance GPUs for AI workloads. It provides three primary services, serverless endpoints for real-time inference, Dedicated instances for private model deployments, and Batch processing for large-scale tasks. Users can deploy open source models like DeepSeek R1, LLaMA, and Qwen, or bring their own, with the platform's permutation engine matching workloads to optimal hardware, including NVIDIA's H100, H200, A100, and 4090 GPUs. Parasail emphasizes rapid deployment, with the ability to scale from a single GPU to clusters within minutes, and offers significant cost savings, claiming up to 30x cheaper compute compared to legacy cloud providers. It supports day-zero availability for new models and provides a self-service interface without long-term contracts or vendor lock-in.Starting Price: $0.80 per million tokens -
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Core42
Core42
Core42 delivers sovereign AI and cloud solutions that help individuals, enterprises, and nations unlock the full potential of AI through secure, scalable, and performance-driven infrastructure. Its AI Cloud is a full-stack platform built for the entire intelligence lifecycle, from data movement and training to optimization, fine-tuning, deployment, governance, and production inference. It gives AI builders access to leading accelerators, integrated tools, orchestration, high-performance storage, and expert support so they can train, fine-tune, and deploy agentic and inference workloads faster. Core42 AI Cloud supports GenAI services, model hosting and inference, AI operations, and infrastructure as a service, enabling teams to build and scale next-generation AI applications with confidence and speed. Its GenAI services help accelerate innovation with agents, retrieval-augmented generation, guardrails, and fine-tuning. -
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Mistral Compute
Mistral
Mistral Compute is a purpose-built AI infrastructure platform that delivers a private, integrated stack, GPUs, orchestration, APIs, products, and services, in any form factor, from bare-metal servers to fully managed PaaS. Designed to democratize frontier AI beyond a handful of providers, it empowers sovereigns, enterprises, and research institutions to architect, own, and optimize their entire AI environment, training, and serving any workload on tens of thousands of NVIDIA-powered GPUs using reference architectures managed by experts in high-performance computing. With support for region- and domain-specific efforts, defense technology, pharmaceutical discovery, financial markets, and more, it offers four years of operational lessons, built-in sustainability through decarbonized energy, and full compliance with stringent European data-sovereignty regulations. -
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Burncloud
Burncloud
Burncloud is a leading cloud computing service provider focused on delivering efficient, reliable, and secure GPU rental solutions for businesses. Our platform operates on a systemized model designed to meet the high-performance computing needs of various enterprises. Core Services Online GPU Rental Services: We offer a variety of GPU models for rent, including data center-grade devices and edge consumer-level computing equipment, to meet the diverse computational needs of businesses. Our best-selling products currently include: RTX 4070, RTX 3070 Ti, H100 PCIe, RTX 3090 Ti, RTX 3060, NVIDIA 4090, L40, RTX 3080 Ti, L40S, RTX 4090, RTX 3090, A10, H100 SXM, H100 NVL, A100 PCIe 80GB, and more. Compute Cluster Setup Services: Our technical team has extensive experience in IB networking technology and has successfully completed the setup of five 256-node clusters. For cluster setup services, please contact the customer service team on the Burncloud official website.Starting Price: $0.03/hour -
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Axe Compute
Axe Compute
Axe Compute delivers enterprise bare-metal GPU infrastructure for AI and machine learning workloads with global reach, dedicated clusters, and predictable access. It gives teams dedicated GPU clusters delivered in approximately 48 hours across 200+ locations, with full choice across region, GPU type, fabric, interconnect, and topology. It is built to address the hidden cost of scaling AI: provisioning delays, limited cloud availability, quota rejections, rigid provider economics, data movement costs, and performance loss from virtualization. Axe provides 100% bare-metal access with zero virtualization overhead and no noisy neighbors, helping teams run LLM training, inference, diffusion, fine-tuning, enterprise deployment, and other AI workloads with more control. Its distributed GPU backbone supports low-latency placement near users and data, reducing the need to move data into centralized cloud regions. -
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CUDO Compute
CUDO Compute
CUDO Compute is an enterprise AI infrastructure company delivering large scale GPU capacity on the latest generation hardware for organisations that require predictable, production ready AI environments. Operating at the intersection of Land, Power and Compute, CUDO Compute helps organisations build and scale AI environments with the speed, reliability and engineering expertise required for modern AI workloads. From dedicated GPU clusters and high performance networking to sovereign AI deployments, CUDO enables organisations to move from experimentation to production with confidence. Built on more than 20 years of experience across data centres, cloud operations and high performance computing, CUDO combines deep infrastructure expertise with a track record spanning 40,000+ GPUs globally. This operational heritage underpins how the company designs, deploys and manages large scale AI environments.Starting Price: $1.73 per hour -
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Nscale
Nscale
Nscale is the Hyperscaler engineered for AI, offering high-performance computing optimized for training, fine-tuning, and intensive workloads. From our data centers to our software stack, we are vertically integrated in Europe to provide unparalleled performance, efficiency, and sustainability. Access thousands of GPUs tailored to your requirements using our AI cloud platform. Reduce costs, grow revenue, and run your AI workloads more efficiently on a fully integrated platform. Whether you're using Nscale's built-in AI/ML tools or your own, our platform is designed to simplify the journey from development to production. The Nscale Marketplace offers users access to various AI/ML tools and resources, enabling efficient and scalable model development and deployment. Serverless allows seamless, scalable AI inference without the need to manage infrastructure. It automatically scales to meet demand, ensuring low latency and cost-effective inference for popular generative AI models. -
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GreenNode
GreenNode
GreenNode is a high-performance, self-service enterprise AI cloud platform that centralizes the full AI/ML model lifecycle, from development to deployment, on a scalable GPU-accelerated infrastructure designed for modern AI workloads. It provides cloud-hosted notebook instances where teams can write code, visualize data, and collaborate, supports model training and fine-tuning with flexible compute, and offers a model registry to manage versions and performance across deployments. It includes serverless AI model-as-a-service capabilities with a catalog of 20+ pre-trained open-source models for text generation, embeddings, vision, speech, and more that can be accessed through standard APIs for fast experimentation and integration into applications without building model infrastructure from scratch. GreenNode’s environment accelerates model inference with low-latency GPU execution, enables seamless integration with tools and frameworks, and features performance.Starting Price: 0.06$ per GB -
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Krutrim Cloud
Krutrim
Ola Krutrim is an AI-driven platform offering a comprehensive suite of services designed to advance artificial intelligence applications across various sectors. Their offerings include scalable cloud infrastructure, AI model deployment, and India's first domestically designed AI chips. The platform supports AI workloads with GPU acceleration, enabling efficient training and inference processes. Additionally, Ola Krutrim provides AI-enhanced mapping solutions, seamless language translation services, and AI-powered customer support chatbots. Our AI studio allows users to deploy cutting-edge AI models effortlessly, while the Language Hub offers translation, transliteration, and speech-to-text conversion capabilities. Ola Krutrim's mission is to empower India's 1.4 billion+ consumers, developers, entrepreneurs, and enterprises by putting the power of AI in their hands. -
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NVIDIA DGX Cloud Lepton
NVIDIA
NVIDIA DGX Cloud Lepton is an AI platform that connects developers to a global network of GPU compute across multiple cloud providers through a single platform. It offers a unified experience to discover and utilize GPU resources, along with integrated AI services to streamline the deployment lifecycle across multiple clouds. Developers can start building with instant access to NVIDIA’s accelerated APIs, including serverless endpoints, prebuilt NVIDIA Blueprints, and GPU-backed compute. When it’s time to scale, DGX Cloud Lepton powers seamless customization and deployment across a global network of GPU cloud providers. It enables frictionless deployment across any GPU cloud, allowing AI applications to be deployed across multi-cloud and hybrid environments with minimal operational burden, leveraging integrated services for inference, testing, and training workloads. -
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Pipeshift
Pipeshift
Pipeshift is a modular orchestration platform designed to facilitate the building, deployment, and scaling of open source AI components, including embeddings, vector databases, large language models, vision models, and audio models, across any cloud environment or on-premises infrastructure. The platform offers end-to-end orchestration, ensuring seamless integration and management of AI workloads, and is 100% cloud-agnostic, providing flexibility in deployment. With enterprise-grade security, Pipeshift addresses the needs of DevOps and MLOps teams aiming to establish production pipelines in-house, moving beyond experimental API providers that may lack privacy considerations. Key features include an enterprise MLOps console for managing various AI workloads such as fine-tuning, distillation, and deployment; multi-cloud orchestration with built-in auto-scalers, load balancers, and schedulers for AI models; and Kubernetes cluster management. -
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Nebius
Nebius
Training-ready platform with NVIDIA® H100 Tensor Core GPUs. Competitive pricing. Dedicated support. Built for large-scale ML workloads: Get the most out of multihost training on thousands of H100 GPUs of full mesh connection with latest InfiniBand network up to 3.2Tb/s per host. Best value for money: Save at least 50% on your GPU compute compared to major public cloud providers*. Save even more with reserves and volumes of GPUs. Onboarding assistance: We guarantee a dedicated engineer support to ensure seamless platform adoption. Get your infrastructure optimized and k8s deployed. Fully managed Kubernetes: Simplify the deployment, scaling and management of ML frameworks on Kubernetes and use Managed Kubernetes for multi-node GPU training. Marketplace with ML frameworks: Explore our Marketplace with its ML-focused libraries, applications, frameworks and tools to streamline your model training. Easy to use. We provide all our new users with a 1-month trial period.Starting Price: $2.66/hour -
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Hyperbolic
Hyperbolic
Hyperbolic is an open-access AI cloud platform dedicated to democratizing artificial intelligence by providing affordable and scalable GPU resources and AI services. By uniting global compute power, Hyperbolic enables companies, researchers, data centers, and individuals to access and monetize GPU resources at a fraction of the cost offered by traditional cloud providers. Their mission is to foster a collaborative AI ecosystem where innovation thrives without the constraints of high computational expenses.Starting Price: $0.50/hour -
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Foundry
Foundry
Foundry is a new breed of public cloud, powered by an orchestration platform that makes accessing AI compute as easy as flipping a light switch. Explore the high-impact features of our GPU cloud services designed for maximum performance and reliability. Whether you’re managing training runs, serving clients, or meeting research deadlines. Industry giants have invested for years in infra teams that build sophisticated cluster management and workload orchestration tools to abstract away the hardware. Foundry makes this accessible to everyone else, ensuring that users can reap compute leverage without a twenty-person team at scale. The current GPU ecosystem is first-come, first-serve, and fixed-price. Availability is a challenge in peak times, and so are the puzzling gaps in rates across vendors. Foundry is powered by a sophisticated mechanism design that delivers better price performance than anyone on the market.
