Tagged "performance"
- Rust Project Perspectives on AI
- Multi-Token Prediction support coming to MLX-LM for Qwen 3.5
- Snapdragon 8 Elite Gen 5 Hands the Galaxy S26 the AI Upgrade We've Been Waiting For
- P-EAGLE: Faster LLM Inference with Parallel Speculative Decoding in vLLM
- Memory Should Decay: Implementing Temporal Memory Decay in Local LLM Systems
- 3-Path Agent Memory: 8 KB Recurrent State vs. 156 MB KV Cache at 10K Tokens
- Quantization Explained: Q4_K_M vs AWQ vs FP16 for Local LLMs
- Cutile.jl Brings Nvidia CUDA Tile-Based Programming to Julia
- FreeBSD 14.4 Released: Implications for Local LLM Deployment
- Mojo: Creating a Programming Language for an AI World with Chris Lattner
- The Emerging Role of SRAM-Centric Chips in AI Inference
- Apple M5 Pro and M5 Max: 4× Faster LLM Processing
- Qwen 3.5 vs Qwen 3 Benchmark Analysis: Generational Performance Improvements Visualized
- Accuracy vs. Speed in Local LLMs: Finding Your Sweet Spot
- Snapdragon 8 Elite Gen 5 Powers Galaxy S26 Series With Enhanced On-Device AI
- Qwen 3.5 MoE Delivers 100K Context Window at 40+ TPS on RTX 5060 Ti
- Qwen 3.5 Underperforms on Hard Coding Tasks—APEX Benchmark Analysis
- Qwen3.5 122B Achieves 25 tok/s on 72GB VRAM Setup
- New Era of On-Device AI Driven by High-Speed UFS 5.0 Storage
- Breaking the Speed Limit: Strategies for 17k Tokens/Sec Local Inference
- Breaking the Speed Limit: Strategies for 17k Tokens/Sec Local Inference
- Taalas Etches AI Models onto Transistors to Rocket Boost Inference
- I Thought I Needed a GPU to Run AI Until I Learned About These Models
- 24 Simultaneous Claude Code Agents on Local Hardware