Apple GPU Matrix Multiplication Acceleration Units: Revolutionizing AI Hardware Performance
6 days ago 高效码农Unlock CUDA on AMD GPUs: The Ultimate ZLUDA Guide
2 months ago 高效码农ZLUDA: Running CUDA Applications on Non-NVIDIA GPUs In the rapidly evolving world of technology, we often find ourselves constrained by hardware limitations. For many, the inability to run CUDA applications on non-NVIDIA GPUs has been a significant hurdle. But what if there was a solution that could bridge this gap? Enter ZLUDA, a groundbreaking project that aims to be a drop-in replacement for CUDA on non-NVIDIA GPUs. In this comprehensive blog post, we’ll delve into what ZLUDA is, how it works, and how you can use it to unlock the potential of your AMD GPU. What is ZLUDA? ZLUDA is …
Unlocking 128K Context AI Models on Apple Silicon Macs: A Developer’s Guide
4 months ago 高效码农Ultimate Guide to Running 128K Context AI Models on Apple Silicon Macs Introduction: Unlocking Long-Context AI Potential Modern AI models like Gemma-3 27B now support 128K-token contexts—enough to process entire books or codebases in one session. This guide walks through hardware requirements, optimized configurations, and real-world performance benchmarks for Apple Silicon users. Hardware Requirements & Performance Benchmarks Memory Specifications Mac Configuration Practical Context Limit 64GB RAM 8K-16K tokens 128GB RAM Up to 32K tokens 192GB+ RAM (M2 Ultra/M3 Ultra) Full 128K support Empirical RAM usage for Gemma-3 27B: 8K context: ~48GB 32K context: ~68GB 128K context: ~124GB Processing Speed Insights …