Is your algorithm ready for the edge?
With EdgeLab, you can benchmark your model on the latest commercial and state-of-the-art edge devices. Compare cross-device performance of your workloads in minutes.
Start benchmarking
How EdgeLab works
Run standardized, reproducible benchmarks on real edge hardware in just a few steps
Create your account
Get started in minutes. Sign up to access a secure workspace for your models, benchmarks, and results.
Upload your model
Upload your model in the format you already use. We support ONNX, TensorFlow, PyTorch, and more.
Configure your benchmark
Select the edge devices and performance metrics you want to evaluate.
Compare performance
View your results through intuitive dashboards and evaluate performance and trade-offs.
Reiterate and run again
Optimise your model, re-run benchmarks, and track improvements over time with fully reproducible results.
Understand your model’s real performance
Get reproducible insights into how your workload performs on real edge devices. And make decisions with confidence
Real-device measurements
Benchmark on actual hardware, not simulations.
Wide hardware range
Evaluate your model across diverse chips, architectures, and vendors.
Built for decision support
Use interactive charts to compare performance across devices and dive into the metrics relevant to your use case.
Accelerates research & development
Understand hardware-performance trade-offs faster and focus your time where it matters.
From research to deployment
Accelerate every step of your edge-AI workflow with clear insights and reliable performance data.
EdgeLab for
Industry
Accelerate the process from prototype to deployment, using reliable performance insights based on real-world constraints. EdgeLab helps engineering and product teams understand how models behave across different edge devices, families and architectures.
EdgeLab helps reduce uncertainty in hardware selection and optimisation.
Built on years of hardware-AI research
Get in Touch !
EdgeLab is currently in beta and available to a limited group of partners as we refine the platform. Interested in joining early? Get in touch.