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5 articles tagged #GPU.
P.01VectorWare mapped Rust's std::simd types directly onto GPU warps, letting the same vector code run on CPU and GPU without a rewrite. What it does, why it's hard, and where it still breaks.
P.02AMD acquired Taalas on August 6, a startup that hardwires model weights directly into chip silicon instead of loading them from memory. Here's what that trade-off means for inference cost, and why it can't replace your GPU fleet.
P.03A hands-on guide to running Llama 4, Qwen3, Phi-4, and Mistral on consumer GPUs like the RTX 4090 and 5090. Covers quantization formats, inference engines, VRAM needs, and when local beats API calls.
P.04A comprehensive comparison of AI chips from NVIDIA, AMD, and Intel in 2026. Understand Blackwell, Ryzen AI, and Panther Lake architectures, benchmarks, and which to choose for your ML workloads.
P.05NVIDIA announces Vera Rubin architecture in production and DLSS 4.5 with Transformer-based Super Resolution. Here's the complete breakdown of what's new and what it means for gaming and AI workloads.