Everything you need
to build AI
From instant deployment to enterprise security, Runcrate provides
all the tools and infrastructure you need to build, train, and deploy AI.
Platform · Features
Built for AI developers.
View pricing →Deploy GPU instances, run models, and scale your infrastructure — all from one platform.
Deploy in 60 Seconds
Zero to production-ready GPU instance in under a minute. No approval queues, no quota requests.
H100, H200, A100, RTX 4090
Access NVIDIA's latest GPUs including H100 (80GB), H200 (141GB), A100 (80GB), and RTX 4090 (24GB).
VS Code & Jupyter Built-in
Every instance includes VS Code Server and Jupyter notebooks pre-configured. Code in your browser.
Full Root Access
Complete control with root SSH access. Install anything, configure everything, no restrictions.
Enterprise Security
SSH key auth, isolated networks, and encrypted connections. Your data and workloads stay secure.
Real-time Monitoring
Track GPU utilization, memory, and performance metrics in real-time. Stream logs from your dashboard.
Custom Docker Images
Bring your own Docker images from any registry. Private registries with full credential management.
Team Collaboration
Role-based access control. Share projects, instances, and billing across your organization.
Pre-configured Templates
Battle-tested templates for ML, dev, and production workloads. CUDA, PyTorch, and more included.
Private Networking
Secure instance-to-instance communication with custom port forwarding and network isolation.
Auto-scaling Ready
Scale compute up or down instantly. Add resources on-demand without downtime or migration.
Production-Ready
99.9% uptime SLA, automated backups, and 24/7 infrastructure monitoring for critical workloads.
Use Cases · Workloads
Built for every workload.
Whether you're training models, running inference, or conducting research — Runcrate scales to your needs.
ML Training
Train LLMs, vision models, and deep learning networks with H100 and A100 GPUs.
Model Inference
Deploy production inference servers for real-time predictions with optimized GPU utilization.
Fine-tuning
Fine-tune LLaMA, Stable Diffusion, BERT and more on your custom datasets.
Research & Dev
Experiment with cutting-edge AI research using Jupyter notebooks and collaborative tools.
Data Processing
GPU-accelerated computing for ETL pipelines, data transformations, and batch processing.
Rendering
GPU-intensive rendering, 3D modeling, and physics simulations with RTX 4090 instances.
Integrations · Stack
Works with your tools.
Pre-configured with the most popular ML frameworks and development tools.
PyTorch
TensorFlow
HuggingFace
CUDA
Docker
Jupyter
VS Code
Git
Uptime SLA
Average Deploy Time
Cost Savings vs AWS