Tag

#cuda

Every item tagged cuda, newest first.

3 items

I didn't know it was possible to compile llamacpp to run cuda + vulkan at the same time..

A developer successfully compiled llama.cpp to run CUDA and Vulkan simultaneously, optimizing performance for a W7800 GPU using ds4 on opencode. The compilation was achieved with a specific CMake command that enabled both CUDA and Vulkan support. This allows the model to leverage multiple GPU architectures. Builders working on local LLM deployments may find this approach useful for optimizing performance across different hardware configurations.

Key takeaways

llama.cpp can be compiled to support both CUDA and Vulkan.
The compilation requires a specific CMake command with enabled flags for CUDA, Vulkan, and other optimizations.
This approach can be used to optimize performance on GPUs like the W7800.

rr/LocalLLaMA#local-llm #cuda #vulkan #compilation

researchJan 28

We Got Claude to Build CUDA Kernels and teach open models!

Anthropic's Claude was used to generate CUDA kernels and teach open models. The experiment demonstrates Claude's ability to assist with low-level programming tasks. You can explore the code and results on the Hugging Face blog. This work showcases the potential for AI models to aid in software development.

Key takeaways

Claude generates CUDA kernels with human guidance.
AI-assisted coding experimented with open models.
Code and results available on Hugging Face blog.

HHugging Face Blog#ai-assisted-coding #open-models #cuda

otherAug 18

From Zero to GPU: A Guide to Building and Scaling Production-Ready CUDA Kernels

The guide provides a step-by-step walkthrough for building and scaling production-ready CUDA kernels, covering essential concepts and best practices. It targets developers looking to optimize performance and efficiency in GPU-accelerated applications. You can use this guide to learn how to write high-performance CUDA code and scale it for production environments. The guide is relevant for builders working on GPU-intensive tasks.

Key takeaways

Covers essential concepts and best practices for CUDA kernel development.
Targets developers optimizing performance and efficiency in GPU-accelerated applications.
Provides a step-by-step walkthrough for building and scaling production-ready CUDA kernels.

HHugging Face Blog#cuda #gpu-acceleration #production-ready #guide