Governable AI · Built for production

The infrastructure behind production AI.

Make AI inference a dependable, measurable, and governable infrastructure service.

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SpacesHover near either side or drag to turn the office. Click an agent or a feature to focus on it.

Let AI agents work autonomously in parallel, with full visibility and control over every step.

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Six agents. One office you can see into.

Every agent works in the open, so you can see who is doing what, who is talking to whom, and what is waiting on you.

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    Real control lives where the system actually runs.

    Under every agent in the office, TokenVisor runs five layers between your teams and every model. Scroll or pick a layer to see what it handles.

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      vLLMAMD

      Scaling Kimi K3 on AMD Instinct MI355X: A New Milestone in AI Inference Efficiency

      Together with AMD, Embedded LLM helped optimize Kimi K3 inference on vLLM, achieving 24.4% higher throughput per GPU and 87.4% more tokens per modeled dollar compared with NVIDIA HGX B300 at the benchmark's 50 tokens/s/user interactivity target.

      Explore the engineering breakthroughs behind this result, from cache reuse and MoE optimization to speculative decoding.

      Read the full technical deep dive on vLLM

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      Embedded LLM

      Embedded LLM is an AI inference infrastructure company helping organizations deploy, optimize, manage, and secure AI at scale. From managed inference services to customer-operated infrastructure, Embedded LLM combines inference engineering and governance technologies to deliver efficient, reliable, and controllable AI operations.

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