Top 7 Cloud GPU Platforms for AI and Deep Learning
Ann
Jul 22, 2025
GPU-accelerated cloud platforms are now essential tools for mainstream AI and deep learning. Whether you are a data scientist or an AI/ML practitioner, training large volumes of transformer models or deploying a real-time computer vision system, having access to high-performance GPUs on demand is crucial.
Furthermore, these GPUs make supercomputing accessible to everyone, leading to breakthroughs and significant scientific progress. The global GPU as a service market had a value of USD 4.31 billion in 2024 and is set to reach USD 49.84 billion by 2032, at a 35.8% CAGR.
Since the market is flooded with cloud GPU platform providers, choosing the right one is quite a challenge. This article brings you the list of 7 cloud GPU platforms best suited for AI and deep learning.
What is a Cloud GPU Platform?
A cloud GPU platform lets you tap into powerful graphics processing units over the internet, without any bulky in-house hardware. These platforms are built to handle demanding workloads like AI-driven quantitative data analysis, deep learning model training, and real-time inference. Think of it as renting supercomputing whenever and wherever you need it.
Top 7 Cloud GPU Platforms for AI and Deep Learning
With increasing options available in the market, it can be tricky to pick the right cloud GPU platform for your AI workflows. Here we’ve listed down the top 7 platforms that strike the right balance between performance, scalability, and cost.
E2E Cloud is one of India’s leading native cloud service providers, offering Cloud GPU solutions mainly for AI, ML, and data science workloads. With a strong focus on high performance and cost-efficiency, it’s a go-to platform for developers, startups, and research teams looking to scale without breaking the bank.
Key Features
Easy-to-use self-service dashboard for managing cloud resources
Developer-friendly ecosystem with pre-configured AI/ML frameworks
AI Lab as a Service (AILaaS) for scalable academic and research projects
Full API and CLI access for advanced automation
Access to the latest NVIDIA GPUs like H200, H100, A100, and more
Pricing
The pricing for E2E Cloud GPU depends on the plan you are looking for. The starting hourly pricing for the 1x H100 (80 GB) plan starts from Rs 175.
InterServer
InterServer is a top-tier GPU server hosting provider, offering cutting-edge, reliable NVIDIA-powered GPU servers that are finely tuned for high-performance computing and data acceleration. Users can select from single or dual GPU configurations and also have the flexibility to customize the servers based on their specific needs.
Additionally, InterServer's GPU servers are housed in state-of-the-art data centers located in New Jersey and Seattle, equipped with advanced cooling systems and redundant power supplies for uninterrupted performance.
Key Features
24/7 technical support via live chat and ticketing for prompt issue resolution and server configuration help.
Trusted NVIDIA-powered hardware ensures fast data processing and high server performance.
Easily scale your infrastructure with support for up to 4 GPU cards by default, and add more as needed.
Pricing
InterServer’s GPU server pricing isn’t always publicly listed. Standard dedicated server plans range from $199–$299/month, but actual GPU configurations may require a custom quote.
Hyperstack
Hyperstack provides a wide selection of NVIDIA GPUs—such as the NVIDIA H100 PCIe, L40, and RTX A6000—designed specifically for AI training, inference, and large-scale data processing. CPU-only setups are also available for users with different computing needs.
With free sign-up and access to their intuitive console, users can easily get started. Hyperstack's budget-friendly GPU options and flexible pay-as-you-go pricing make it simple and efficient to launch a test VM without any hassle.
Key Features
Zero oversubscription for dedicated sources without affecting performance degradation.
Supports 350 Gbps for optimized storage options.
Offers DevOps tools, including Terraform Provider and LLM Inference Toolkit
Pricing
Hyperstack offers cost-effective pricing with flexible billing models, including both on-demand and reserved options. The platform also features a hibernation mode, allowing users to pause workloads and minimize expenses when resources are not actively in use.
Amazon Web Services (AWS)
AWS is one of the leading cloud platforms and a top cloud GPU provider. Amazon EC2 (Elastic Compute Cloud) provides GPU-powered virtual machine instances, which enable quicker calculations for deep learning tasks.
Key Features
Ideal for generative AI and ML training with NVIDIA-powered AWS GPU cloud storage.
Accelerates research with GPU-powered high-performance computing in the cloud.
AWS IoT Greengrass enables local edge processing on devices like NVIDIA Jetson with cloud integration.
Pricing
Pricing varies significantly depending on instance type, region, and GPU model. For example, NVIDIA H100-based instances can cost upwards of $4.10/hour, while older models like Tesla T4 may cost around $0.35/hour.
Google Cloud Platform
Next in the option is the Google Cloud Platform, which integrates the latest NVIDIA L4 GPUs, delivering powerful performance for generative AI, video processing, and other demanding workloads. These GPUs are available through G2 virtual machines. In addition to the L4, GCP continues to offer a range of GPU options—including K80, P4, and V100—catering to diverse machine learning and high-performance computing requirements.
Key Features
Seamless integration with Google AI tools like BigQuery and Vertex AI.
L4 GPU makes AI training and development easy on Google Cloud Platform.
Pricing
The Tesla T4 starts at $0.35 per hour, and the V100 costs roughly $2.48 per hour. Newer L4 GPUs start at $0.71 per hour and provide an extremely efficient solution for AI tasks.
Atlantic.Net
Atlantic.Net stands out as a leading GPU server hosting provider, offering solutions tailored to the high-performance needs of AI, machine learning, and other computer-intensive applications.
Their offerings include flexible GPU cloud hosting for dynamic workloads, high-performance dedicated GPU servers powered by the latest NVIDIA GPUs, and HIPAA-compliant GPU hosting designed specifically for healthcare environments where stringent data security is essential.
Key Features
New age hardware with high memory bandwidth, ideal for demanding AI and machine learning workloads
Security-focused infrastructure with strict protocols for safe handling of sensitive data
Pricing
$1,058/mo for 192 GB RAM with 28 vCPUs, $2,407/mo for 384 GB RAM with 32 vCPUs.
Vultr
Vultr, a trusted NVIDIA GPU server provider, delivers top-tier GPU infrastructure designed for AI, deep learning, and machine learning. For data scientists and AI/ML practitioners, Vultr's GPU-powered Kubernetes environments help to build and run advanced AI and machine learning systems.
Key Features
Fast, secure content delivery with unmetered bandwidth and 24/7 accessibility.
Advanced DDoS protection safeguards against Layer 3 and Layer 4 network attacks.
Easy creation and management of custom IP space across global data centers.
Pricing
Specialized GPU instances from Vultr start at $0.99/hour and vary based on the model and resources selected.
Conclusion
There are many such providers globally, but selecting the right cloud GPU provider for AI and deep learning is crucial. To ensure the best fit, evaluate your project’s unique requirements, your level of technical expertise, and the budget you have available.
