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v0.1.0

Hardware-Aware Optimization

The compiler for
efficient AI

Find the perfect balance between latency, memory, and accuracy for your specific deployment target.

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Process

Seven phases to production

01

Upload

Drop your PyTorch, ONNX, or TensorFlow model.

02

Architecture Search

Explore candidate architectures for your hardware target.

03

Optimize

Pruning, quantization, and knowledge distillation.

04

Benchmark

Measure latency, memory, and accuracy on target hardware.

05

Pareto Analysis

Find optimal trade-offs across the multi-objective frontier.

06

Hyperparameter Tuning

Auto-tune learning rates, batch sizes, and schedules.

07

Export

Deploy-ready ONNX or TorchScript output.

10+
Targets
<5min
Speed
95%+
Accuracy
ForgeAI

Built for the AMD MI300X Hackathon