AI coding agents are eroding Nvidia's CUDA software moat by lowering the expertise barrier for GPU kernel development, according to a tech analysis. Tools like Anthropic's Claude Code can generate per…
AMD ROCm software provides an open-source stack for programming AMD GPUs, enabling high-performance video inference pipelines. A tutorial demonstrates building a pipeline using rocDecode for hardware-…
Researchers present Fleet, a hierarchical task-based abstraction for multi-die GPUs that introduces Chiplet-tasks to exploit chiplet-level locality and synchronization. On AMD Instinct MI350 with Qwen…
AMD published a blog post detailing a workflow that combined ROCm profiling tools with Cursor's AI code-assist agent to optimize a double-precision HIP kernel on an Instinct MI250 GPU, achieving a cum…
CUDA remains the dominant language for GPU compute in AI and HPC, but teams facing NVIDIA card scarcity or multi-vendor fleets have three main options: drop-in layers like ZLUDA for binary compatibili…
AMD launched the Ryzen AI Halo workstation at nearly $4,000, offering 128 GB of unified memory for local AI model training and inference. The system is cheaper than Nvidia's DGX Spark but uses year-ol…
Navatala Systems released Navatala GPU, an open-source cross-platform GPU compute runtime and kernel corpus supporting CUDA, HIP, Vulkan, OpenCL, and Metal backends. The alpha release includes Python …
A team of kernel engineers developed a bf16 forward attention kernel for AMD MI300X GPUs using HIP, outperforming AMD's own AITER v3 library by up to 1.26× across various token lengths and rounding mo…