
A one-hour review for engineers and technical founders who want to understand their GPU workloads or make a decision about an inference system.
We’ll focus on your most important question: low or uneven GPU utilization, usage patterns under load, inference latency and throughput, memory and data movement, or low-level pipeline design. We’ll use your architecture and available measurements to examine bottlenecks and trade-offs.
You’ll leave with priorities for what to investigate, measure or change next. The session is a live review; deeper profiling, implementation or a written audit can be scoped separately.
Share a short overview of your workload, GPU setup and main question before the call. A diagram or relevant measurements are helpful if available. Please let me know early if you need to reschedule.