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…
Parasail will deploy d-Matrix Corsair inference accelerators alongside NVIDIA Hopper and Blackwell GPUs in a heterogeneous inference system, targeting faster token generation for cloud customers. The …
NVIDIA released the Nemotron 3 Ultra NVFP4 checkpoint, a quantized model that achieves up to 5.9x higher inference throughput than GLM-5.1 754B FP4 on decode-heavy workloads while matching BF16 accura…
NVIDIA's confidential computing (CC) on Blackwell GPUs introduces performance overheads ranging from 1% to over 100% for inference and 18–32% for training, according to benchmarks from Tinfoil. The pr…
A developer detailed the architectural differences between NVIDIA's Ampere and Hopper GPU architectures, focusing on tensor core and memory bandwidth improvements. The Hopper architecture introduces T…
NVIDIA released Qwen3.6-35B-A3B-NVFP4, a post-training FP4-quantized variant of Alibaba's 35B MoE model that fits on a single H100 by reducing VRAM from ~71 GB to ~23 GB. The quantization targets weig…
Fortinet announced an expanded integration of its FortiAIGate solution with Nvidia's AI platforms on May 12, embedding zero-trust security directly into Nvidia's Blackwell and Hopper GPUs to protect a…
NVIDIA released a guide showing how to optimize transformer-based models for low-precision training using Hopper and Blackwell GPUs, focusing on FP8 and NVFP4 formats. The method translates model conf…
INT21 launched as the first company to achieve self-improving AI agent swarms for AI infrastructure, introducing PTX Kernel Factory that generates and optimizes low-level GPU software for NVIDIA hardw…
Nvidia's Blackwell architecture achieves 20 times more AI agents per megawatt than its Hopper generation, according to the new AgentPerf benchmark. The efficiency leap, driven by FP4 precision and adv…
NVIDIA's Blackwell Ultra NVL72 platform achieved top performance on the first agentic AI benchmark, AgentPerf from Artificial Analysis, running up to 20 times more agents per megawatt than the previou…