GPU cloud platform offering H100, A100, and RTX instances at up to 70% less than major cloud providers with instant deployment.
Runcrate is a GPU cloud platform that gives AI developers access to high-performance computing without the complexity of traditional cloud providers. The platform aggregates GPU capacity across multiple providers, offering H100, H200, A100, and RTX 4090 instances through a simple interface. You get a full development environment with VS Code, Jupyter notebooks, and SSH access built in. Deploy in 60 seconds, pay only for active hours, and skip the egress fees and hidden charges that plague larger platforms.
Runcrate offers the same GPU models (H100, A100) at up to 70% lower prices. For example, their H100 costs $1.54/hour compared to AWS p5.2xlarge at $5.12/hour. You also avoid egress fees and get development tools (VS Code, Jupyter) included instead of paying separately.
Runcrate offers NVIDIA H100 80GB, H200, A100 80GB, and RTX 4090 GPUs. All instances support custom CPU, memory, and storage configurations. You can also request custom quotes for reserved clusters with specific GPU models and high-speed interconnect.
You add credits to your account via Stripe, then pay hourly only when instances are actively running. Credits never expire and there are no minimum commitments. Stop an instance anytime to pause billing. All pricing is transparent with no hidden fees or egress charges.
Yes. Runcrate provides VS Code Server and Jupyter notebooks in the browser, but you also get full SSH access and root privileges. You can bring your own Docker images, configure environment variables, and install any tools you need.
Deployment takes about 60 seconds. Select your GPU type and configuration, then launch. The environment comes pre-configured with common ML frameworks and tools, so you can start working immediately without setup time.
Runcrate supports production inference servers and AI applications with enterprise security features and team collaboration tools. However, as a newer platform aggregating GPU capacity from multiple providers, you should evaluate availability and SLA requirements for your specific use case.
Runcrate supports all major frameworks since you have full control over the environment. Common use cases include running LLaMA, Stable Diffusion, and custom ML workloads. You can bring your own Docker images with any framework pre-installed.
Yes. While the standard offering is pay-as-you-go, Runcrate provides custom quotes within 24 hours for reserved GPU clusters. You can specify the number of GPUs, model type, region, and interconnect requirements for dedicated capacity.
0 out of 5 stars
Based on 0 reviews
5 star reviews
4 star reviews
3 star reviews
2 star reviews
1 star reviews
If you've used this tool, share your thoughts with other users
Affordable GPU cloud built for AI developers.
AI-powered recruiting and video interviewing platform
No-code voice, chat & email AI agents
All-in-one AI video studio for creators and marketers
Build, share, and own custom AI agents
AI-powered training and QA for CX teams
AI-powered faceless video generator for social media
AI-powered anime and comic creation without drawing skills
Email platform for developers, marketers, and AI agents