Make your inference faster.
Generate optimized GPU kernels for your specific hardware and get a drop-in replacement with verified correctness.
Input
model = "llama-3.1-8b"
gpu = "H100"
baseline = "torch.compile(max_autotune)"
3.0× faster
inference speed
$18k/mo
saved on GPUs
67% less
power reduction
100% correct
numerically verified
┌───┐─┌───┐ │GPU│─│GPU│ ├───┤─├───┤ │GPU│─│GPU│ └───┘─└───┘
FORGE
AI KERNEL OPTIMIZATION
WHAT YOU GET
- Save thousands on GPU costs
- Improve speed of your AI models
- Improve efficiency
- All NVIDIA GPUs
INFRASTRUCTURE
- Dedicated infrastructure
- On-premise deployment
- Custom SLA & support
- NDA & IP protection
SUPPORT
- Dedicated support team
Custom Pricing
FAQs
Forge is an automated AI optimization engine. It's built for ML teams, infrastructure engineers, and enterprises who need to maximize GPU inference performance at scale — without manual low-level optimization work.
Forge works with any AI model architecture — language models, image generation, speech recognition, and more. If it runs on a GPU, Forge can optimize it.
Forge delivers optimized kernels in under an hour. Every output goes through manual verification to ensure 100% numerical correctness against your original model. The result is a drop-in replacement — same API, zero code changes, faster inference.
Forge supports NVIDIA datacenter GPUs including B200, H200, H100, L40S, A100, and more. Models are optimized specifically for your target hardware.
Your models and data are used solely for optimization. We do not use your data for any other purpose. Enterprise plans include dedicated infrastructure with no shared resources.
Yes. Enterprise plans include on-premise deployment, dedicated GPU clusters, and custom hardware support. Contact us to learn more.
Every optimized model is manually verified for 100% numerical correctness against the original. We guarantee performance improvements on your target hardware.
Contact our sales team for a demo and custom pricing. We also offer a free demo to optimize one model, no credit card required.