## Input

- **model:** "Qwen3-235B"
- **gpu:** "B200"
- **baseline:** "torch.compile(max_autotune)"

Generate Optimized GPU Kernels

- **7.6× faster** inference speed
- **$42k/mo** saved on GPUs
- **64% less** power reduction
- **100% correct** numerically verified

## The compute problem

You're paying for 100% of your GPUs. Only 16% is doing real work.

### Most GPUs today

- Idle cycles
- Memory stalls
- Unoptimized ops

**Unoptimized Kernel**
```
SM·00░·····█░░░░·····█░░░░·····█░
SM·01····██░░░·····██░░░·····██░░
SM·02···█░░░░·····█░░░░·····█░░░░
SM·03·██░░░·····██░░░·····██░░░··
SM·04█░░░░·····█░░░░·····█░░░░···
SM·05░░░·····██░░░·····██░░░·····
SM·06░░·····█░░░░·····█░░░░·····█
SM·07·····██░░░·····██░░░·····██░
```
~16% utilized, $840K wasted per $1M

**CUDA / Triton optimized kernels for your GPU setup**

**Optimized Kernel**
```
SM·00██·█████░·█████░████████████
SM·01░░████████████████·██████·██
SM·02██████████··█████░██████░███
SM·03███·█████░░████████████████·
SM·04██░████████████████··█████░█
SM·05█████·█████░·█████░█████████
SM·06████░██████░█████████·██████
SM·07██████████████·█████░·█████░
```
~88% utilized, $720K saved per $1M

## How Forge works

Forge automatically optimizes your AI model inference on any GPU — no code changes required.

**Qwen3-235B Arabic TTS Arabic STT FLUX.2 YOLO26**

### Time to First Token

- Before: 320ms
- After: 42ms

Forge optimizes Qwen3's 235B MoE attention layers, cutting token generation latency by 7.6× for real-time responses at scale.

### Throughput

- Before: 312 tok/s
- After: 3,180 tok/s

- **Cost per 1M Tokens**
    - Before: $4.30
    - After: $0.43

## 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

## FAQs

### What is Forge and who is it for?

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.

### What AI models does Forge support?

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.

### How fast are the results?

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.

### What GPUs are supported?

Forge supports NVIDIA datacenter GPUs including B200, H200, H100, L40S, A100, and more. Models are optimized specifically for your target hardware.

### Is my data kept private?

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.

### Can I run Forge on-premise?

Yes. Enterprise plans include on-premise deployment, dedicated GPU clusters, and custom hardware support.

### What correctness guarantees does Forge provide?

Every optimized model is manually verified for 100% numerical correctness against the original. We guarantee performance improvements on your target hardware.

### How do I get started?

Contact our sales team for a demo and custom pricing. We also offer a free demo to optimize one model, no credit card required.