A developer released REA (Reverse Engineer Anything), an open-source Model Context Protocol server that orchestrates reverse-engineering tools such as Ghidra, Hopper, and dynamic tracers behind a sing…
REA (Reverse Engineer Anything) shipped on October 7, 2026 as an open-source CLI and MCP server that gives AI agents 41 native binary inspection tools and 14 guided investigation workflows for decompi…
A September 29, 2026 arXiv paper reports that an LLM agent translating Triton kernels directly into NVIDIA PTX, a process the authors call "AI lowering," achieved 0.83x to 3.34x the performance of aut…
Minitap co-founders say Google's Artemis mobile-automation project copied code from their open-source mobile-use repository without credit, including an identical Hopper agent prompt and matching Andr…
Data center GPUs physically last 5+ years, but economic replacement cycles are 2-4 years due to rapid performance gains, according to Data Center Knowledge. Resale or GPU-as-a-Service models help maxi…
A commentary argues that AI chip hardware lifecycles are longer than the hype suggests, with a three-year baseline for high-end silicon, citing deployment patterns and depreciation schedules. The piec…
Researchers proposed FIBER, a thread-register decoupled GPU execution model that extends the SIMT architecture to improve tensor computation efficiency, achieving a 2.25x end-to-end speedup on Ampere,…
Nvidia Corp. is the primary driver of the AI market, with demand for its H100 and upcoming Blackwell architecture remaining insatiable, but the market is shifting from hardware demand to ROI reality, …
Nvidia's role as the primary financier of the AI boom creates a risky cycle where capital flows into AI startups, is spent on Nvidia hardware, and depends on those startups generating cash flows to su…
Nvidia is raising prices on its AI hardware, including Blackwell and Hopper architectures, by over 15 percent due to manufacturing yield issues, high-bandwidth memory (HBM3e) supply costs, and demand …
Nvidia CEO Jensen Huang told customers on August 13, 2026, that A100 GPUs will remain effective through 2029, while the company simultaneously pushes its Blackwell, Hopper, and upcoming Rubin architec…
NVIDIA's data center GPU roadmap has advanced through four major architectures—Ampere, Hopper, Blackwell, and Vera Rubin—each delivering more memory, faster interconnects, and lower-precision compute …
Nvidia CEO Jensen Huang said on August 13th that the A100 fleet remains 'mission-capable' through 2029, citing CUDA's role in extending the lifespan of AI accelerators. The statement amplifies a CoreW…
NVIDIA's H100, H200, and B200 GPUs offer different trade-offs for AI workloads, and choosing among them depends on factors like model size, memory requirements, and whether the use case is training or…
Muse released Muse Code (beta), a terminal coding agent powered by its new Muse Spark 1.2 model, which features async background agents, a replay-exact runtime, and bundled skills for planning and exe…
NVIDIA's Transformer Engine accelerates transformer training on Ampere and newer GPUs by fusing kernels and using BF16/FP8 computation, with FP8 support limited to compute capability 8.9 or higher. Th…
Triton is a compiler with a Python frontend that parses a function's AST, runs it through an MLIR pipeline, and emits a GPU binary, never executing the Python function as Python. The compiler handles …
NVIDIA's GB300 NVL72 platform delivers up to 25x performance per watt over its predecessor, the NVIDIA Hopper, redefining AI infrastructure efficiency. The company's extreme codesign from silicon to s…
NVIDIA claims its Blackwell NVL72 platform delivers up to 25x performance per watt over the Hopper generation for frontier AI models, positioning performance per watt as the critical metric for AI inf…
REA, a new open-source tool released on GitHub, enables AI agents to reverse engineer binary code from apps without source code, using 68 tools and Hopper for deep native analysis. The tool, installab…