Your LLM, on board

We provide professional services to port and optimize Gen AI models for mobile and IoT hardware, handling the complexity for you from start to finish.

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  • Qwen

  • TinyLlama

  • Llama

  • Gemma

  • Llava

  • Intern-VL

Taking Foundation Models to the Edge

Custom AI deployment, tailored for your target device.

  • Mobile

  • Smart home

  • Robotics

  • Automotive

  • Industrial edge box

Optimized LLMs, Engineered with Hardware Insight

Specialized techniques meet real hardware knowledge to push Gen AI to its limits.

Bridging

AI and Hardware

Bridging

AI and Hardware

Bridging

AI and Hardware

Extensive experience in deploying models across real-world devices — we understand both model internals and hardware constraints.

Extensive experience in deploying models across real-world devices — we understand both model internals and hardware constraints.

Extensive experience in deploying models across real-world devices — we understand both model internals and hardware constraints.

Hardware-Aware Quantization

Hardware-Aware Quantization

Hardware-Aware Quantization

We apply device-specific quantization strategies to maximize performance while preserving accuracy.

We apply device-specific quantization strategies to maximize performance while preserving accuracy.

We apply device-specific quantization strategies to maximize performance while preserving accuracy.

Research-Driven

Optimization

Research-Driven

Optimization

Research-Driven

Optimization

We implement the latest methods from cutting-edge papers — including mixed precision quantization, operator fusion, and graph pruning.

We implement the latest methods from cutting-edge papers — including mixed precision quantization, operator fusion, and graph pruning.

We implement the latest methods from cutting-edge papers — including mixed precision quantization, operator fusion, and graph pruning.

Real Results.
Proven Performance.

Our LLM porting delivers measurable improvements on real devices. See how NetsPresso outperforms standard quantization across memory, speed, and text quality — all on Qualcomm QCS9075.

Memory

(GB)

Prefill speed

(token/s)

Decode speed

(token/s)

Instruction

Understanding

Text

Summarization

Inference Speed & Memory Efficiency

Text Generation Quality

Quantization optimized for both efficiency and accuracy

LLM

VLLM

Memory

(GB)

Prefill speed

(token/s)

Decode speed

(token/s)

Instruction

Understanding

Text

Summarization

Inference Speed & Memory Efficiency

Text Generation Quality

Quantization optimized for both efficiency and accuracy

LLM

VLLM

Memory

(GB)

Prefill speed

(token/s)

Decode speed

(token/s)

Instruction

Understanding

Text

Summarization

Inference Speed & Memory Efficiency

Text Generation Quality

Quantization optimized for both efficiency and accuracy

LLM

VLLM

Deep Optimization Backed by Research

Explore Our Research

Too Big, Too Slow, Too Costly?
Not Anymore.

It’s slow and generates strange outputs.

The model is too large to deploy.

High-end GPUs are too expensive.

We don’t know when development will finish.

Considering a product with generative AI.

Ask me anything

It’s slow and generates strange outputs.

The model is too large to deploy.

High-end GPUs are too expensive.

We don’t know when development will finish.

Considering a product with generative AI.

Ask me anything

It’s slow and generates strange outputs.

The model is too large to deploy.

High-end GPUs are too expensive.

We don’t know when development will finish.

Considering a product with generative AI.

Ask me anything

Have a device in mind?
We’ll make your generative AI fit perfectly.

Talk to Our Experts

© 2022-2025. Nota Inc. All rights reserved.

© 2022-2025. Nota Inc. All rights reserved.

© 2022-2025. Nota Inc. All rights reserved.