In Development — This product is currently being built. What you see below is our product vision and roadmap. The existing GPU marketplace remains fully operational.
We're evolving from a GPU marketplace into the cost intelligence layer for enterprise GPU infrastructure. Monitor, optimize, and manage GPU spend across every cloud — from a single dashboard.
Challenge
of organizations run GPUs below 70% utilization. Enterprises waste billions annually on idle GPU compute they’re paying for but not using.
average enterprise AI compute budget — yet only 51% can evaluate ROI. Teams don’t know which workloads cost what, or which GPUs are sitting idle.
price spread for identical GPU compute across providers. An H100 costs $1.45/hr on one platform and $6.98/hr on another. No tool surfaces this automatically.
NVIDIA paid to acquire Run:ai, the leading GPU orchestration tool. Enterprises now need a vendor-neutral alternative they control.
Platform
ComputeX is pivoting from a peer-to-peer GPU marketplace into a vendor-neutral GPU intelligence platform. Think of it as Datadog meets Kayak — but for GPU infrastructure. We monitor your GPUs, analyze your costs across every cloud provider, and tell you exactly where you're wasting money and how to fix it.
A lightweight open-source agent that installs in your Kubernetes cluster via Helm. Collects real-time GPU metrics — utilization, VRAM, temperature, power, health — across NVIDIA and AMD hardware. Works on any cloud, any cluster, any GPU.
Connect your AWS, GCP, and Azure billing accounts. We normalize GPU costs across providers, attribute spend to teams and projects, and generate Waste Reports showing exactly where your money goes. Chargeback and showback built in.
Automated optimization suggestions: right-size overprovisioned instances, consolidate idle workloads, switch to cheaper providers for the same GPU class, schedule non-urgent jobs off-peak. Every recommendation includes estimated monthly savings.
Process
Deploy our open-source monitoring agent to your Kubernetes cluster with a single Helm command. It auto-discovers all GPUs and begins collecting metrics in under 5 minutes. Memory footprint under 50MB.
Link your cloud billing accounts via OAuth. We pull cost data from AWS, GCP, Azure, and neocloud providers. Your unified dashboard shows GPU utilization overlaid with real dollar costs for the first time.
Generate a Waste Report in one click. See idle GPU-hours, overprovisioned instances, pricing arbitrage opportunities, and team-level cost attribution. Act on recommendations and watch your GPU bill drop.
Audience
Finally see which team is burning through GPU budget and why.
Stop guessing which cloud provider is cheapest for your workloads.
Justify GPU spend to the CFO with real utilization and ROI data.
One dashboard for GPU metrics across every cluster and cloud.
Roadmap
Our peer-to-peer GPU marketplace is live and operational. Rent community GPUs by the hour.
Visit Marketplace →Building the open-source Kubernetes-native agent. Go-based, lightweight, NVIDIA NVML integration. Targeting private beta in Q2 2026.
Multi-cloud billing integration, cost attribution, Waste Report generation. Targeting Q3 2026.
Automated right-sizing, provider arbitrage, scheduling optimization, MIG management. Targeting Q4 2026.
Early Access
We're onboarding design partners for our private beta. If your team spends $10K+/month on GPU compute and wants to cut waste, we want to talk to you.
No commitment required. We'll reach out to schedule a free GPU Spend Audit.