🔥 Sudden GPU performance drop
Throughput collapses, latency spikes, memory usage explodes, or your usual batch sizes no longer run as expected.
AuGPU.AI
AuGPU.AI
Your GPU systems can't take a holiday.
So we don't, either.
When your engineering team is busy or understaffed, your GPU clusters, inference pipelines, and rendering jobs still have to stay online. The AuGPU.AI GPU Performance Rescue Program provides structured, on-call troubleshooting and optimization for critical workloads.
Throughput collapses, latency spikes, memory usage explodes, or your usual batch sizes no longer run as expected.
Jittery playback, frame drops, inconsistent latency, and multi-model pipelines that only fail under real traffic.
Jobs stuck in queues, uneven load across GPUs, Slurm / Kubernetes tasks hanging, or workers dropping unexpectedly.
Intermittent crashes, obscure stack traces, or GPU errors that no one has time to trace. We can assist via remote access and screen sharing.
End-of-year crunch, holiday periods, or launch windows where your team simply does not have a GPU specialist available.
We reserve capacity for your incident window. Once engaged, you do not wait in a generic support queue — we start looking immediately.
You can brief us ahead of a key deadline or holiday, then return to a clear report, change list, and performance comparison after the event.
For teams with continuously running commercial workloads, we can watch key performance metrics and respond when deviations appear.
Whether you are running 10 GPUs or 100 GPUs, the cost of running “blind” is high. A structured diagnostic pass often pays for itself in a single incident.
A production inference service running on 8× A100 GPUs showed unstable utilization (20–35%) and severe P95 latency spikes during peak hours.
A few anonymized examples from recent troubleshooting and optimization work.
Unstable utilization, noisy P95, and cross-node variance in a production inference service.
Frame jitter, VRAM spikes, and kernel launch fragmentation in a real-time video pipeline.
Heterogeneous GPUs, long queues, and uneven load across nodes and cards.
We stay online, so your systems stay alive.
We diagnose precisely — or you don't pay.
Every rescue engagement includes:
For urgent GPU issues, the fastest path is to send a brief summary by email. We will reply with next steps and a practical plan.
Adding a subject such as “GPU Rescue · Company name · Short description” helps us prioritize your case.
The clearer the picture, the faster we can identify the true bottleneck and propose a safe, realistic fix.