The AI Infrastructure
Operating System for
your GPU environments

Enterprises and Cloud Service Providers managing GPU fleets across multiple clouds face fragmentation — different APIs, dashboards, and cost models for every provider. VibOps gives your team a single platform to observe, operate, and optimize the entire fleet.

No spam. We'll reach out personally.

You're on the list. We'll be in touch shortly.
Open source MCP server available now — pip install vibops-mcp  ·  GitHub ↗

The problem

GPU infrastructure is fragmented by design

Whether you're an enterprise running multi-cloud GPU workloads or a CSP reselling GPU capacity to your clients — AWS, GCP, Azure, on-prem, CoreWeave, DGX Cloud all have different APIs, dashboards, and cost models. Correlating utilisation, cost, and workload type across providers means jumping between tools, exporting CSVs, and writing glue scripts.

🔀

Multi-provider chaos

Your GPU fleet spans 3+ providers. No single view of utilisation, cost, or workload distribution across all of them.

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Invisible spend

GPU hours are your biggest infrastructure cost. Without a unified cost model, you're flying blind on ROI per workload.

Slow incident response

A GPU saturation alert fires. Your engineer needs 4 tools and 20 minutes to diagnose and remediate. Every minute costs money.


The solution

One platform. Any cloud. Any cluster.

VibOps is the provider-agnostic layer that unifies your GPU fleet. Observe every cluster, control every workload, and track every dollar — from a single interface your AI assistant can operate directly.

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Unified observability

GPU utilisation, workload breakdown, cost per cluster, MTTR — aggregated across every provider in real time.

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AI-native operations

Your team uses Claude Desktop or Cursor to deploy models, scale clusters, and investigate incidents — no context switching.

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Sovereign by design

Deploy on your infrastructure. Your data never leaves your environment. Built for regulated industries and strict data residency requirements.


How it works

Up and running in minutes

VibOps deploys as a lightweight control plane next to your existing infrastructure. No agents on GPU nodes, no data exfiltration.

01

Deploy VibOps

Self-hosted on your infrastructure via Helm or Docker Compose. Connects to your clusters via lightweight gateways.

02

Install the MCP server

pip install vibops-mcp — configure Claude Desktop or Cursor with your VibOps URL and API token.

03

Operate in natural language

Ask your AI assistant to show GPU utilisation, deploy a model, or investigate a cost spike — across any provider.

04

Full audit trail

Every operation is logged. Every action is reversible. Enterprise governance built in from day one.


Early access

Built for teams that take
GPU infrastructure seriously

We're onboarding a limited number of enterprise teams and Cloud Service Providers. Request access and we'll reach out personally.

No spam. We'll reach out personally.

You're on the list. We'll be in touch shortly.