Have you ever wondered why the same AI model runs at vastly different speeds on different computers or devices? The secret lies in “optimization”! Today, we invite you into Advantech’s GenAI Studio Lab to discover how we unleash the full potential of every hardware platform with four exclusive “custom-tuned” methods, allowing large language models (LLMs) to run faster and more efficiently than ever!
What is AI Optimization? Why Do You Need to Know? #
As AI permeates every industry—from smart factories and retail analytics to medical imaging and everyday chatbots—everyone wants their AI to operate both quickly and accurately. However, the reality is that every hardware architecture is different, and generic deployment approaches often fail to extract maximum performance from your devices. That’s when “custom-tuned” optimization for different hardware is essential to unlock unprecedented speed and efficiency for your LLM models!
To meet these needs, Advantech GenAI Studio not only offers general solutions like llama.cpp, but also provides four advanced, exclusive “custom-tuned” services, ensuring that each hardware platform has its own dedicated acceleration secret.
Master All Four “Custom-Tuned” Technologies at Once! #
1. For Intel Hardware: OpenVINO Accelerates Your AI #
Want your AI models to perform spectacularly on Intel CPUs, integrated graphics, or even Arc discrete GPUs? Intel’s own OpenVINO is your best companion!
OpenVINO (Open Visual Inference and Neural Network Optimization) is Intel’s official AI inference optimization toolkit. It intelligently leverages special instruction sets (such as AVX-512) and parallel computing capabilities of Intel processors and GPUs to both slim down and accelerate your models. Whether in factory automation, in-store customer analytics, or medical image recognition, as long as you’re on an Intel platform, OpenVINO enables your AI to run at peak efficiency.
Key Highlights:
- Supports a wide range of Intel hardware architectures
- Comprehensive quantization and model optimization features
- Broad applications across industrial, retail, and medical sectors
2. The Overclocking Tool for NVIDIA GPUs: TensorRT-LLM #
If you have an NVIDIA discrete GPU—be it a top-tier server card or a gaming card—TensorRT-LLM is your dedicated “supercar tuner,” deeply optimizing for LLM-specific requirements like autoregressive generation and attention mechanisms!
TensorRT-LLM, based on NVIDIA’s industry-leading TensorRT inference engine, is tailor-made for large language models. After deployment, you’ll notice significant improvements in inference speed and reduced latency, making it the top choice for users demanding speed and ultimate performance.
Quick Tip:
- For NVIDIA Jetson edge AI devices, we recommend MLC LLM instead, as Jetson’s ARM architecture and resource configuration are better suited for MLC LLM’s compilation optimizations.
3. The Universal AI Compiler: MLC LLM, Run Anywhere! #
Want a single model that “runs wherever you go”? The open-source project MLC LLM is your perfect partner!
Developed by deep learning compiler pioneer Tianqi Chen’s team, MLC LLM uses machine learning compilation technology to convert LLM models into native code that runs efficiently on various hardware. Whether you’re using NVIDIA, Intel, or AMD, one model works everywhere!
When Should You Choose MLC LLM?
- You have resource-constrained devices (such as Jetson or GPUs with limited memory)
- You want the same model to be deployed cross-platform
- You need decent performance across diverse hardware environments
Selection Guide at a Glance:
- High-end NVIDIA GPUs, Ultimate Speed Required → TensorRT-LLM
- Edge Devices, Limited Resources, Cross-Platform Needs → MLC LLM
4. Advantech’s Exclusive Secret Tech: Q4Q2, Save GPU Memory! #
Last but not least is Advantech’s self-developed Q4Q2 quantization technology! This method is purpose-built for edge devices with limited memory. Q4Q2 “intelligently identifies” less critical parts of the model and stores them using ultra-compact 2-bit representations. As a result, GPU memory usage can be reduced by about 20%, while maintaining robust model performance! For users wanting to deploy LLMs on small devices and edge AI hardware, this is a true lifesaver!
Advantech GenAI Studio: Tailored Optimization for Your LLM Needs #
Our GenAI Studio comes preloaded with these four “custom-tuned” services. Whether you’re running LLMs on Intel platforms, NVIDIA GPUs, or resource-constrained edge devices, you’ll find the most suitable optimization solution. Simply choose your hardware and requirements—leave the rest to us!
Summary & Outlook: Relentless Innovation, Boundless AI Possibilities #
AI applications are rapidly transforming the world, and Advantech remains at the forefront of innovation—constantly developing, testing, and optimizing so every piece of hardware can unleash its full potential, bringing LLM services into every industry.
Looking ahead, we will continue exploring more optimization techniques and supporting additional hardware platforms, helping customers and partners seize new AI opportunities. Whether you’re an engineer, a business professional, or a newcomer curious about AI, stay tuned to Advantech’s technical updates and join us in unlocking infinite possibilities in AI innovation!
Want to learn more? Experience GenAI Studio and feel the magic of AI optimization tailored just for you!