Description
Thunder Compute is a cloud platform focused on making GPUs abundant by leveraging cutting-edge GPU virtualization research. Unlike CPUs, storage, networking, and memory, GPUs have historically faced scarcity. Thunder Compute addresses this by not only facilitating the building of more chips but also by optimizing the utilization of existing ones through advanced software solutions.
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Their approach targets the systems layer, where virtualization has become universal for other computing resources but has lagged for GPUs. By productionizing research prototypes developed over four years in stealth, Thunder Compute aims to create step-change improvements in data center capacity. The platform allows users to spin up NVIDIA H100 GPUs from as low as $1.38/hr, offering significant cost savings of up to 80% compared to providers like AWS. Users can access these resources through familiar interfaces such as VS Code, the command-line interface (CLI), or any web browser.
The company emphasizes flexibility and cost-effectiveness, with no contracts required and no egress fees. They also offer expandable storage options. Thunder Compute's team comprises world-class systems researchers and infrastructure experts with backgrounds from institutions like Citadel Securities, Aquatic, and AWS. They are actively deploying their findings through their own cloud infrastructure and enterprise partnerships to drive efficiency and accessibility in GPU computing.
For individuals and organizations seeking powerful GPU resources without the high costs and complexities of traditional solutions, Thunder Compute provides an accessible and efficient alternative. Their focus on virtualization and resource optimization makes high-performance computing more attainable for a wider range of applications, from AI model training to complex simulations.
- CategoryMLOps & Model Deployment
- Pricing ModelPay-as-you-go
- DeploymentCloud
- PlatformsWeb
Thunder Compute's Core Features
GPU Virtualization Technology
Access to NVIDIA H100 GPUs
Competitive hourly pricing for GPUs
Cost savings up to 80% compared to AWS
Integration with VS Code
CLI access for GPU management
Browser-based access
No contracts required
No egress fees
Expandable storage options
Focus on data center capacity improvement
Productionizing GPU virtualization research
How to use Thunder Compute?
Access: Choose your preferred interface – VS Code, CLI, or browser.
Configure: Spin up NVIDIA H100 GPUs with desired configurations.
Utilize: Deploy your AI workloads, training jobs, or inference requests.
Optimize: Leverage expandable storage and cost-effective hourly rates.
Thunder Compute's Use Cases
- AI Model Training
- Inference Services
- High-Performance Computing
- Data Science Workloads
- Cloud Gaming Development
