Maximize GPU Efficiency
Introducing Continuous Profiling for GPUs. Get Performance Insights Over Time
GPU Profiling Dashboard
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Introducing Continuous Profiling for GPUs
Maximize GPU Efficiency: Visualize, Analyze, and Optimize with Precision.

Polar Signals Continuous Profiling for GPUs extends our industry-leading continuous profiling platform to provide deep, always-on visibility into your GPU workloads.

Now you can see exactly how your GPUs are being utilized millisecond by millisecond. Our solution helps you move from guesswork to data-driven optimization.

NVIDIA CUDA
Python
PyTorch
Upon Request
Intel
AMD
Optimize GPU Performance by profiling GPU workloads
Polar Signals Cloud Profiling Dashboard

Get the right metrics to maximize GPU utilization

See at a glance when a GPU is not utilized the way you expect using high resolution GPU hardware metrics.

Correlate CPU Usage with CPU strips

Understand down to the nanoseconds when the CPU was active and when not.

Visualize with flamecharts

If the GPU wasn't fully utilized, what was the CPU doing that wasn't making the GPU do work?

Frequently asked questions
What exactly is Continuous Profiling for GPUs?
Do I have to deploy it on Kubernetes?
What metrics can the GPU profiler measure?
Which type of GPUs can be currently profiled?

Get Started

Empower your development team to optimize GPU performance by implementing continuous GPU profiling.

Schedule a demo