Make Machine Learning Faster

Benchmark and analyze training and inference with Graphsignal Profiler to make it faster and more efficient.

Sign up for a free account to get an API key.
Add Graphsignal Profiler to any script or notebook.
Analyze ML profiles and metrics.

import graphsignal
from graphsignal.profilers.keras import GraphsignalCallback

graphsignal.configure(
    api_key='my_api_key', workload_name='my_training')

model.fit(..., callbacks=[GraphsignalCallback()])

See Quick Start Guide for instructions and more integrations.

Natively supported frameworks and technologies

Machine learning profiler for full visibility

Benchmark speed and utilization

Compare changes in parameters, speed and usage across runs.

Analyze time distribution and speed

Understand where the most time and resources are spend.

See detailed device utilization

Make sure all CPUs and GPUs are utilized as expected.

Analyze operation and kernel statistics

Understand what ML operations and compute kernels consume most time.

Monitor speed and usage metrics

Monitor run metrics to catch issues such as memory leaks.

Get visibility into distributed workloads

See all distributed training or inference performance data in one place.

Enable team access

Share improvements and issues with team members.

Ensure data privacy

Keep data private. No code or data is sent to Graphsignal cloud, only run statistics and metadata.

Get to full visibility in minutes

Start now