We own your inference

2x faster inference.
We handle everything.

We deploy and manage our engine on your infrastructure. Mobile, ARM, GPU, data centers. You focus on building. We own the optimization. We ran a 120B model on 6GB RAM.

noire-engine
$ noire benchmark --model llama-120b
Device: Android (6GB RAM)
Model: LLaMA 120B
Memory: 5.2GB / 6GB
Speed: 2.1x baseline
Traditional engines: CRASHED (OOM)
2x
Faster Inference
120B
Params on 6GB RAM
50%
Memory Reduction
90%
Cost Savings
Mobile Devices

The Impossible, Now Possible

Traditional inference engines crash immediately on memory-constrained devices. Our breakthrough algorithm enables running massive models on ordinary smartphones.

  • 120B parameter models on 6GB RAM devices
  • No cloud dependency - full offline capability
  • Privacy-first: data never leaves the device
  • iOS and Android native SDKs
  • Battery-optimized inference modes
  • Real-time voice and image processing
Android Device (6GB RAM)Running
ModelLLaMA-120B-4bit
Memory Used5.2 GB
Inference Speed2.3 tok/s
Traditional EngineCRASHED
ARM Devices

ARM-Native Optimization

Purpose-built for ARM architecture, delivering consistent 2x improvements across the entire ARM ecosystem.

Edge AI2.1x

Raspberry Pi 5

Up to 8GB RAM

Local LLMs1.9x

Apple M3

Up to 24GB RAM

Robotics2.3x

Jetson Orin

Up to 32GB RAM

Cloud2.0x

AWS Graviton3

Up to 128GB RAM

"We saw immediate 2x speedups on our Jetson fleet without any code changes."

- Engineering Lead, Fortune 500 Robotics Company

GPU Acceleration

Double Your GPU Performance

Our CUDA and ROCm optimizations unlock the full potential of your graphics hardware, delivering consistent 2x throughput improvements.

2x

Throughput Increase

Same hardware, double the output

50%

Memory Reduction

Run larger models on existing GPUs

LLaMA 70B Benchmark
GPUTraditionalOptimizedGain
RTX 409045 tok/s92 tok/s2.04x
RTX 308028 tok/s58 tok/s2.07x
RTX 407032 tok/s65 tok/s2.03x
AMD 7900 XTX35 tok/s68 tok/s1.94x
Data Centers

Enterprise-Scale Savings

For companies spending millions on GPU compute, our engine delivers immediate and substantial ROI.

Massive Cost Savings

Cut your GPU infrastructure costs by 50% while maintaining the same throughput.

2x Throughput

Serve twice as many requests with your existing hardware investment.

Enterprise Ready

SOC 2 compliant, with dedicated support and SLAs for mission-critical deployments.

Monthly Cost Comparison (1000 H100 GPUs)

Traditional Inference

$900K

per month

  • 1000 H100 GPUs required
  • Standard throughput
  • High energy consumption

With Inference Engine

$450K

per month

  • 500 H100 GPUs (same output)
  • 2x throughput per GPU
  • 50% energy reduction

Annual savings: $5.4M

How We Work With You

We handle everything from integration to deployment. Your team focuses on building great products.

01

Contact Our Team

Reach out to discuss your infrastructure requirements and use case.

02

Technical Assessment

Our engineers analyze your current setup and identify optimization opportunities.

03

Custom Integration

We build and deploy a tailored solution optimized for your specific hardware.

04

Ongoing Support

Continuous optimization and support as your needs scale.

Ready to 2x Your Inference Speed?

Contact our team to discuss your infrastructure needs. We handle everything from integration to deployment.