AI PCs Unlock Faster, Easier Access to large Language Models
SANTA CLARA, CA – June 13, 2024 – Recent advancements are dramatically lowering the barrier to entry for individuals and developers looking to harness the power of large language models (LLMs) directly on their PCs. New optimizations and software releases from NVIDIA and Microsoft are delivering significant performance boosts and streamlined deployment, making AI more accessible then ever before.
The growing popularity of LLMs like GPT-2 and Gemma,coupled with the increasing capabilities of AI-focused PCs,is creating a pivotal moment for localized AI processing. Previously requiring ample cloud resources, running these models locally offers benefits including enhanced privacy, reduced latency, and offline functionality. These latest updates aim to empower a wider audience – from individual users experimenting with AI chatbots to professional developers building AI-powered applications – to leverage this technology.
Optimized Software Accelerates LLM Performance
key to this progress is optimized software support for NVIDIA’s RTX GPUs. Updates to Ollama now provide major performance gains for models like OpenAI’s gpt-oss-20B and the Gemma 3 family, alongside improved memory management and multi-GPU efficiency. similarly,Llama.cpp and GGML have been updated to deliver faster inference on RTX GPUs, including default support for Flash Attention and CUDA kernel optimizations for models like the NVIDIA Nemotron Nano v2 9B.
Microsoft has also released Windows ML with NVIDIA TensorRT for RTX, now generally available, which accelerates AI model inference by up to 50% on Windows 11 PCs. This streamlines the deployment of LLMs, diffusion models, and other AI types.
Tools for Users and Developers
Beyond core performance improvements, NVIDIA’s G-Assist tool (v0.1.18, available through the NVIDIA App) now features new commands for laptop users and enhanced answer quality. NVIDIA’s Nemotron collection of open models, datasets, and techniques continues to fuel innovation in areas like generalized reasoning and industry-specific AI applications.
Getting Started:
* Ollama: Download and run LLMs locally with optimized RTX performance.
* Llama.cpp/GGML: Utilize faster inference on RTX GPUs with the latest updates.
* NVIDIA App: Access the updated G-Assist tool for enhanced AI interaction.
* Windows ML with NVIDIA tensorrt: Deploy and accelerate AI models on Windows 11.
* NVIDIA Nemotron: Explore open-source models and datasets for AI development.
