The NVIDIA HGX B300 is NVIDIA’s Blackwell Ultra platform in its densest single-node form: eight B300 SXM GPUs wired together on one baseboard by fifth-generation NVLink and NVSwitch into a
Tag: ai infrastructure
A practical guide to matching NVIDIA’s H100, H200, B200, and B300 to your model, your latency target, and your budget, starting from the workload instead of the spec sheet. Key
An account-intelligence system that pre-embeds ten million companies into a resident vector index, and one that dispatches agents to research those same companies live on demand, look like the same
Runway Intelligence is OpenMetal’s executive insight series for late-stage startups and their investors, exploring how cloud economics, infrastructure design, and operational strategy shape valuation, margins, and time to exit. A
Claude is closed-weight and cannot run on your own hardware, but you can self-host the entire application and data plane around it on OpenMetal. Here is how.
Gemini is closed and cannot run on your own hardware, but you can self-host the entire application and data plane around it on OpenMetal. Here is how.
GPT is closed-weight and cannot run on your own hardware, but you can self-host the entire application and data plane around it on OpenMetal. Here is how.
Claude, GPT, and Gemini cannot run on hardware you own, but you can self-host the entire stack around them on OpenMetal. Here is what is actually possible.
Coding-agent fleets hit dedicated-GPU break-even at ~5-10M tokens/month or 15-25% utilization. Why metered per-token billing punishes the agent workload.
Neocloud became a capital-and-power race, leaving sustained mid-market inference underserved. Why predictable cost, not GPU count, is the defensible position.
Dedicated Servers & Private Cloud Infrastructure for Berkeley, California, United States Served by OpenMetal’s Los Angeles data center — estimated 17.508 ms avg latency based on tests from nearby San