Neurox

What is Neurox?

Neurox is a self-hosted monitoring and reporting platform for GPU infrastructure running AI workloads. You install it with Helm on a Kubernetes cluster, including EKS, GKE, AKS or on-prem, and its agent discovers GPU hardware automatically. Dashboards show utilization, workloads, queued and completed jobs, and hardware health and energy use for individual GPUs. A Neurox Control portal can watch multiple clusters across clouds at once, and cost reports roll up spend by business unit, project, team, owner or GPU type for FinOps. Neurox is not open source, and only NVIDIA GPUs are supported. It is free for monitoring up to 64 GPUs, which the vendor says covers personal, academic and light commercial use, and offers source-available licensing for enterprise customers. A scheduler, health alarms and federated multi-cloud features are listed as upcoming.

Use cases

• Monitor GPU utilization on Kubernetes
• Track GPU costs by team and project
• View GPU inventory across multiple clouds
• Audit AI workload spend for FinOps
• Inspect GPU health and energy use
• Find idle GPUs wasting money

Who it's for

• ML infrastructure teams
• DevOps engineers
• FinOps teams
• Researchers

Why use Neurox

• It runs inside your own cluster, and the vendor says it has no remote access to your deployment or workload data.
• Free monitoring of up to 64 GPUs suits personal, academic and light commercial setups.
• Cost views by project and team help explain GPU spend.
• One control plane can watch GPU clusters on several clouds and on-prem.
• Setup is a Helm install with automatic hardware discovery.

Neurox features

• Purpose-built GPU dashboards
• Automatic discovery of GPU hardware
• Multi-cluster and multi-cloud views
• Cost reports by team, project, GPU type or owner
• Per-GPU health, diagnostics and energy consumption
• Data export and reporting for ROI measurement
• Helm-based self-hosted deployment
• Airgapped installs available
• Identity provider setup for user authentication

Neurox integrations

• Kubernetes
• Helm
• Azure AKS
• NVIDIA GPU Operator
• kube-prometheus-stack

How to get started with Neurox

1. Prepare a Kubernetes cluster with at least one NVIDIA GPU node, cert-manager and ingress-nginx.
2. Run the Helm install command to deploy a combined Neurox Control and Workload cluster.
3. Configure an identity provider and open your Control Portal subdomain.
4. Connect more GPU clusters; the agent discovers GPU hardware without extra configuration.
5. Review utilization, workloads and cost reports, and export data for audits.

Neurox limitations

• Only NVIDIA GPUs are supported at this time
• Requires Kubernetes 1.29+ and Helm 3.8+, with about 12 CPUs, 24 GB RAM and 120 GB storage
• Not open source; free use is capped at 64 GPUs
• Scheduler, health alarms and federated multi-cloud are not yet released

Neurox pricing

Yes, Neurox has a free plan.

Neurox plans

• Free

  Free

  Monitoring for up to 64 GPUs

  • Self-hosted deployment
  • Up to 64 GPUs
  • Dashboards and cost reporting

Plans as listed on the official pricing page on 24 Oct 2026. Prices can change and may vary by country or exclude tax. Check the official pricing page.

Neurox alternatives

The main Neurox alternatives listed on Debuly are Weights & Biases, OnitsAI, KubeStellar Console, Logmind, agenttrace and BurnRate. The table compares pricing and platforms; order is A–Z.

1. Ag

   agenttrace

   Local-first Rust terminal app that audits AI coding agent sessions for cost, tokens, latency and failures from logs on disk.

   Developer platformsCodingProductivity
   Open sourceVisit agenttrace (official site)
2. 

   BurnRate

   AI cost analytics that combines OpenAI and Anthropic spend in one dashboard, with budgets and a local CLI for coding-tool sessions.

   Developer platformsProductivity
   FreemiumVisit BurnRate (official site)
3. 

   KubeStellar Console

   Open source multi-cluster Kubernetes dashboard with AI missions, operator and GPU views, GitOps pages and a hosted demo mode.

   Developer platformsAutomation and agents
   Open sourceVisit KubeStellar Console (official site)
4. 

   Logmind

   Logmind is an AIOps platform that reads logs and events to detect IT issues early and recommend fixes.

   Developer platformsAutomation and agents
   Free trialVisit Logmind (official site)
5. 

   OnitsAI

   On-premises AI platforms for managing GPU and NPU capacity (Orbit) and running private LLMs and agents inside your network (Probe).

   Developer platformsChat assistantsAutomation and agents
   Contact salesVisit OnitsAI (official site)
6. 

   Weights & Biases

   Platform for tracking ML experiments and tracing, evaluating and monitoring LLM apps and agents with W&B Weave.

   Developer platformsCodingAutomation and agents
   FreemiumVisit Weights & Biases (official site)

Neurox FAQ

Sources & verification

Facts on this page come from the official sources below, each with the date we read it. Written by Debuly; the vendor did not review this page.

Image credits

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