Deploy any open model from Ollama or Hugging Face as a private, OpenAI-compatible API
Stage
Startup
Not given
Founded
Not given
Not given
Based in
US
US
Pricing model
Paid
Paid
Pricing
Compute on-demand: H200 starting at $0.47/HR to $1.99/HR, B300 at $4.99/HR, B200 at $3.49/hr, H100 at $2.43/HR (Spot $0.94/HR). Reserved clusters available with quotes from 50+ datacenters.
Pay as you go: $0/month with prepaid credits from $10. Pro: $29/month with $29 monthly credits. Business: $299/month with $299 monthly credits. GPU pricing: NVIDIA L4 $0.95/hour ($0.000264/second, $1,180/month always-on); NVIDIA L40S $3.20/hour ($0.000889/second, $3,974/month always-on); 4x NVIDIA L
Key features
2,500+ RL environments on the Hub
100+ open-source model evaluations
Managed training workflows with full visibility
GLM-5.3 hosted inference
OpenAI-compatible API
SLURM and Kubernetes orchestration
Infiniband networking for distributed training
Grafana monitoring dashboards
Secure code sandboxes for RL
Deploy models with one command via CLI
OpenAI and Ollama API compatibility
Scales to zero with configurable idle timeout (60 seconds to 60 minutes)
Private endpoints with no prompt logging
Supports GGUF and safetensors model formats
Free model storage (10GB to 1TB depending on plan)
Always-on option for no cold starts
Batch jobs pricing 30-50% cheaper
What makes it different
Integrated stack combining training, inference, compute and evaluations in one platform
Backed by leading investors including NVIDIA, Founders Fund, and AI researchers
Large-scale open-source community with 2,500+ environments and models
Applied research team providing hands-on support for training
Competitive pricing with spot market and reserved cluster options
No Dockerfile or server management required
Use your existing OpenAI or Ollama client with one URL change
Pay only for actual compute seconds used, not monthly subscription
Cold start time never billed and requests wait instead of failing
Prompts and outputs never logged or used for training