Radar / AI infrastructure / Prime Inference
Prime Inference
Prime Intellect's serverless and reserved-capacity inference platform for frontier open models on NVIDIA Blackwell (GB200 NVL72), OpenAI-SDK compatible, with cache-aware routing that uses host DRAM as a secondary KV tier for large prompts.
Why it matters
Closes the loop between training and serving: the RL training stack now feeds serving traces back into training. Its GLM-5.3 endpoint reportedly ranks among the fastest on OpenRouter, targeting 100 tokens/sec for large prompts on dedicated Blackwell hardware.
What you could build with it
A startup could ship a document-heavy product on Prime Inference's reserved capacity: large prompts get cache-aware KV routing across GB200 hardware, keeping long-context costs predictable while the OpenAI-compatible SDK avoids lock-in rewrites.
Does it hold up?
Too early to judge — platform announced today; third-party coverage cites OpenRouter rankings for the GLM-5.3 endpoint, but no independent user reviews exist yet.
Built with Prime Inference
- Prime Intellect Launches Prime Inference AI Platformarticle · Coverage of the Oct 3 platform launch: serverless and reserved serving for frontier open models on Blackwell hardware.
- Prime Inference: serverless and reserved serving for frontier open modelsarticle · MarkTechPost launch coverage with the technical details: GLM-5.3 on GB200 NVL72, cache-aware routing with host DRAM as a secondary KV tier, OpenAI-compatible SDKs.
Learn more
First spotted on article: source.
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