VertexStudio designs, builds, and operates production AI infrastructure — edge inference, autonomous agents, token optimization, and MLOps — for frontier teams shipping at scale.
Built on the production stack you already trust
Edge NPUs, mobile SoCs, CPUs, GPUs, TPUs and cloud — interconnected through the VertexStudio router, with tasks routed to wherever they run fastest and cheapest.
From silicon to orchestration — we design, build, and operate the full vertical of production AI infrastructure.
Deploy quantized LLMs directly onto NPUs, mobile SoCs, and embedded devices with guaranteed sub-10ms latency and zero cloud dependency. The flagship of the studio.
Autonomous multi-agent systems with tool-use, memory, and planning loops at enterprise scale.
Cut inference cost 40–75% with prompt compression, speculative decoding, and KV-cache tuning.
Automated training, eval gating, canary deploys, and drift detection — GitOps native.
Frontier accuracy in 10× smaller packages via QLoRA, GPTQ, and distillation.
Hybrid retrieval, GraphRAG, and long-term agent memory grounded in your data.
Measured outcomes from 150+ enterprise deployments across Fortune 500 companies and frontier AI labs.
New to this? Start free. We turned the whole field into a map you can click — plus guided paths, deep-dive guides, and a curated AI news feed.
Every concept in modern AI infrastructure — agents, inference, MLOps, RAG, knowledge graphs — mapped and clickable. Drag it, filter it, learn it.
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From "what is AI infrastructure?" to cutting inference cost 75%. Ordered paths for beginners, builders, and operators.
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Stay current with a filterable digest of what's moving in production AI, plus in-depth guides on the techniques that matter.
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Talk to a VertexStudio expert. Get a free 48-hour inference audit — we'll show you exactly where you're leaving latency and cost on the table.