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.
Proxy API: 15% of savings on provider bill. Models API: $0.40 per 1M tokens removed (Helene 1.1), $0.90 per 1M tokens removed (Adeline 1). Free tier available with Condense Lite (approximately 20% compression).
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
Proxy API for seamless integration requiring only one base URL and header change
Maintains 98.6% cache hit rate
Preserves instructions, questions, answers, code and error messages
Direct billing from provider with no stored API keys
SOC 2 Type II and ISO 27001 compliance in progress
Zero data retention with GDPR export and erasure support
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
Removes 37.3% of bills on average sessions and 66-72% on sessions over 800k tokens
Pay only 15% of savings on Proxy API with no fee if no savings occur
Built around cache architecture rather than against it
Public benchmark allowing comparison with alternatives before purchase
Operates transparently with audit logs and ability to inspect rewritten requests