Open models and an agent marketplace, running on Proximal Agentic Compute (PAC). Try the same bundle in Google Cloud, burst onto a partner NeoCloud, then run the identical stack in your own data center. Hybrid by design, open by default.
The exact PAC + open-models stack runs wherever your data needs to live. Evaluate in Google Cloud, scale on a partner NeoCloud, then graduate the identical bundle into your own data center for residency, latency, and TCO — with no re-architecting.
Provision a managed PAC sandbox in minutes. Validate models, agents and policy against real workloads before you commit hardware.
Spill over to a Proximal partner NeoCloud for elastic agentic capacity — same bundle, pay-as-you-go, no long-term hardware commitment.
Run the identical bundle on the infrastructure you already operate. Your data never leaves the building — and the experience is byte-for-byte the same as the cloud.
Any open model deploys as a native workload on Proximal Agentic Compute — and inherits the platform your team already trusts. With it comes a full marketplace and ecosystem of agent partners.
Llama, Mistral, Qwen, DeepSeek or your own fine-tunes — deploy as a first-class PAC workload. No model lock-in, ever.
Thousands of partner-built agents, one click to deploy on-prem — the same catalog across every environment.
Existing ACLs, IAM and encryption carry straight over. No new identity plane, no new policy model to learn.
A built-in console shows every agent users deploy or create — plus agent-to-data and agent-to-agent activity.
Built-in connectors to Jira, Confluence, SharePoint, OneDrive and more — grounded in your enterprise sources.
Identical across Google Cloud, partner NeoCloud and your DC — same app, same agent setup, same experience.
The core of Proximal Agentic Compute isn’t just running models — it’s Compute AI: a runtime that picks the right model for every request. Local open models handle the work cheaply on x86; when quality demands more, PAC transparently escalates to a public API model. You get the best answer at the lowest defensible cost — automatically.
PAC treats inference as an optimization problem, not a fixed pipeline — matching each request to the cheapest model that clears the bar.
Per-request routing across your model fleet. PAC chooses the model at run time based on the prompt, latency budget and live capacity.
Local-first. Open models on your x86 run at near-zero marginal cost — PAC defaults to them whenever they can do the job.
Every local answer is scored. When it falls short of your quality threshold, PAC escalates to a public API model — only paying for premium when it matters.
Business questions don’t map to a single model — they span all of an enterprise’s data. The Compute.AI microkernel decomposes each query into subqueries and dispatches every one to the silicon built for it.
Why memory-first wins: most subqueries are memory-bound lookups, not raw FLOPs. Co-locating SQL, Graph, Vector and LLM next to one pool of HBM is what makes running all four together — fast and private — actually possible.
Explore the Unity™ hardware platform →The Proximal partner ecosystem brings purpose-built agents for the industries you run. Deploy them privately, on open models, on your own infrastructure.
Underwriting, fraud, compliance & complex transaction workflows.
Clinical documentation, imaging & administrative automation.
Citizen services and case management with data sovereignty.
Customer service, merchandising and supply-chain copilots.
Contract review, research and knowledge retrieval.
Coding, IT automation and digital workflow assistants.
Agents are workflows, not training runs — they run beautifully on x86 CPUs. Proximal turns the infrastructure you already own into the most cost-effective, dependable home for private AI.
Agents run on the CPUs already in your racks. Skip the GPU premium and scarce-silicon waitlists.
Built on VMware — the platform that runs the world’s data centers. That hardening, brought to AI.
High availability, disaster recovery and live migration — inherited from VMware, built in.
Govern AI with the same VMware automation & vSphere tooling your team already masters.
Spin up in Google Cloud, burst onto a partner NeoCloud, or deploy to your own infrastructure — the bundle is identical.
The bundle is identical in all three. Pick a target and launch.