Local AI workstation for private inference with up to 192 GB of unified memory and 32 GB Radeon GPU
Stage
Startup
Not given
Founded
Not given
Not given
Based in
US
Not given
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.
Developer: starting at $5,999 USD (128 GB memory, 2 TB storage). Memory upgrade to 192 GB adds $2,200. Storage upgrade to 4 TB adds $250. Cluster kit $799 per machine. Business pricing available by quote. Worldwide shipping, import duties and taxes outside US included. No sales tax in US.
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
Run DeepSeek V4 Flash and Qwen 27B models
Browser-based setup over encrypted Bluetooth
Private OpenAI-compatible API
Lucebox Mix: run two models simultaneously
Headless Ubuntu Server with pre-installed inference engine
Optional Tailscale integration for remote access
Optional cluster kit with 100 GbE networking
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 per-token billing or cloud dependencies
1.5x faster decode speed than DGX Spark
Hardware and software co-designed for optimal performance
Completely private: runs offline with no cloud proxy