What is Runcrate ?
Runcrate is the open-access AI Cloud platform built specifically to eliminate the friction and high costs of traditional GPU provisioning for developers and machine learning teams. By aggregating capacity across a global network, Runcrate delivers instant access to high-end NVIDIA hardware without the burden of quotas, approval queues, or complicated reservations. This allows you to deploy and scale mission-critical AI workloads in under a minute, focusing entirely on development and results.
Key Features
Runcrate is engineered for performance, affordability, and developer productivity, ensuring your team has the power required exactly when you need it.
🚀 Lightning-Fast Instance Deployment
Go from zero to a live, production-ready GPU instance in under 60 seconds. Runcrate bypasses the traditional bottlenecks of resource approval and allocation, allowing you to select your GPU, configure resources, and deploy instantly with a single click. This speed drastically accelerates iteration and reduces developer waiting time.
🧠 Access to Top-Tier NVIDIA Hardware
Gain immediate access to a comprehensive portfolio of high-performance GPUs, including the NVIDIA H200 (141GB), H100 (80GB), A100 (80GB), and RTX 4090 (24GB). This ensures that whether you are training massive foundation models or running optimized inference, you have the precise memory and processing power required.
🛠️ Fully Integrated Developer Environment
Every instance comes pre-configured with essential development tools, eliminating manual setup time. You receive full root access via SSH, and immediate in-browser access to VS Code Server and Jupyter notebooks. This platform supports custom Docker images and popular ML frameworks (PyTorch, TensorFlow, HuggingFace) right out of the box.
💸 Transparent, Cost-Optimized Billing
Runcrate offers significant cost savings, averaging up to 70% cheaper compared to major hyperscale clouds. With transparent, per-hour billing, you only pay for resources when your instances are running. Crucially, Runcrate eliminates hidden costs by offering zero egress fees, allowing you to transfer data freely without surprise charges.
Use Cases
Runcrate scales seamlessly across the entire machine learning lifecycle, from initial research to high-volume production deployment.
1. Accelerating Large Model Training
Utilize reserved or on-demand clusters of high-memory GPUs like the NVIDIA H100 or A100 to efficiently train large language models (LLMs) and complex computer vision networks. The instant deployment capabilities allow research teams to rapidly provision and tear down environments as needed, maximizing resource utilization.
2. Deploying Real-Time Model Inference
Transition from development to production by deploying optimized inference servers for real-time predictions. Leverage the platform’s 99.9% uptime SLA and global network of 30+ data centers to ensure low-latency service delivery, supporting high-throughput applications like recommendation engines or generative AI APIs.
3. Rapid Prototyping and Fine-Tuning
Start new projects quickly using one-click templates for popular workflows like ComfyUI (Node-based Image Generation) or Stable Diffusion XL. Researchers can easily fine-tune pre-trained models (e.g., LLaMA or BERT) on custom datasets within the integrated Jupyter environment, significantly reducing the setup time typically associated with transfer learning projects.
Conclusion
Runcrate provides the powerful, flexible, and affordable GPU compute foundation necessary for modern AI development. By combining instant provisioning, best-in-class hardware, and transparent pricing, we empower developers and teams to focus less on infrastructure management and more on building the next generation of intelligent applications.
More information on Runcrate
Launched
Pricing Model
Paid
Starting Price
Global Rank
Follow
Month Visit
<5k
Tech used
Top 5 Countries
36.38%
34.21%
29.4%
Malaysia
United States
India
Traffic Sources
5%
1.09%
0.14%
9.33%
57.87%
25.9%
social
paidReferrals
mail
referrals
search
direct
Source: Similarweb (Dec 19, 2025)
Runcrate was manually vetted by our editorial team and was first featured on 2025-12-19.
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