GPUPilot monitors your entire Kubernetes GPU cluster — detects anomalies in real time, analyses root causes with AI, alerts your team, and remediates with one click.
Built and delivered by the team behind Israel's largest infrastructure integrations.
Pick the deployment that fits your network.
For GPU clusters with outbound connectivity. One kubectl command. The agent streams telemetry to the GPUPilot API. Real-time AI diagnosis and Slack alerts.
For disconnected and sovereign environments. Fully on-prem. No telemetry leaves your network. Same closed-loop experience, no outbound connection required. In production today.
30-second deploy. Auto-discovers Prometheus and DCGM. Zero config.
XID, ECC (SBE / DBE), row remaps, PCIe replays, NVLink bandwidth, SM clocks. No invented metrics.
An XID on gpu-3 lined up with the pod that died and the node-pressure that came before it. One view.
The fix is a kubectl command, written for you, diff visible. You approve. Nothing auto-executes.
Only outbound HTTPS to the GPUPilot API. No payload exfiltration. No third-party scrapers.
"Why is my training job stuck?" gets a real answer, with the kubectl commands it ran to find out.
Utilisation, faults, idle silicon across every node. Quantified, not assumed.
Row remaps, ECC creep, NVLink degradation. The early signals that mean an RMA, not an outage or an SLA miss.
AI-assisted root cause in the alert itself. Your on-call sees the diagnosis with the page, not after.
Telemetry stays in your cluster by default. Air-gap and sovereign deployment in production now.
Least-privilege agent. Single egress path. One kubectl delete removes everything. No state left behind.
Real engineers on the other end of the page. Optional NOC alerting. Per-GPU annual pricing, no surprise SKUs.
See which silicon is earning, which is degrading, which is idle. Visibility your CFO will ask for.
No services engagement. No PoC quarter. No Q2 implementation plan. One kubectl apply, 30 seconds.
Row remaps, ECC creep, NVLink degradation flagged before the outage. Lower surprise downtime on training and inference SLAs.
Connected, air-gapped, or fully on-prem. Same product. Your data. Your perimeter. Your regulator. In production today.
Read-only agent. One kubectl delete and it is gone. No state retained in your cluster. Predictable pricing, no surprise SKU expansion.
Delivered by Bynet. Real engineers on the page when it fires. Optional NOC alerting. Local procurement and invoicing.
The same agent. The same install. Different answers, depending on who's asking. Switch the lens — engineer, platform leader, or CxO — and the value reframes itself.
One kubectl command. Read-only agent. Deploys in 30 seconds.
30+ DCGM metrics, pods, logs, events. Every 30 seconds. Nothing missed.
Claude AI investigates every anomaly. Correlates events, finds root cause.
Instant Slack with diagnosis, severity, and fix. Before you check the dashboard.
One-click approve or auto-fix. Every action logged and auditable.
Every anomaly triggers an AI investigation, a Slack alert, and a suggested fix — automatically.
GPU fault on dgxb200:GPU3. AI: driver mismatch after update.
Uncorrectable fault on GPU 5. Row remaps: 3/4. Failure in ~2 weeks.
87% to 12% in 5 minutes. Scheduler stuck on node affinity.
worker-07 back online. NVSwitch firmware updated. 4 jobs resumed.
Works with the stack you already have
See GPUPilot on your own cluster. Bynet engineers reach out within one business day. No services engagement, no PoC quarter.
Your mail client opens with the message pre-filled.
Or email us directly at computingIT@bynet.co.il.
One kubectl. Read-only. Works on any NVIDIA GPU cluster on Kubernetes.
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