NVIDIA is a pioneer of GPU computing, dominating the hardware market for AI acceleration, training, and inference with its high-performance Hopper and Blackwell architectures.
Directly governs the hardware efficiency and hardware-level token throughput when deploying ai hardware computing clusters, deep learning acceleration, and gaming graphics cards; optimizing NVIDIA is a major factor in compute cost budgeting.
NVIDIA is a leading global technology company that pioneered GPU-accelerated computing. Initially known for graphics cards, NVIDIA became the primary hardware provider for the modern artificial intelligence revolution. Its compute platform (including CUDA software and H100/A100 and Blackwell GPU architectures) serves as the computational backbone for training and serving frontier LLMs.
NVIDIA provides both the high-performance GPU hardware and the CUDA software ecosystem, making it the industry standard for developing deep learning systems.
Hopper (e.g. H100) is NVIDIA's previous-generation AI enterprise GPU. Blackwell is its successor, offering 30x faster LLM inference performance.
Palantir Technologies Inc. Chief Executive Alex Karp appeared to go into meltdown mode during an interview with CNBC today where for 20-odd minutes he went off script after being asked to discuss his company's ongoing deal with chip maker Nvidia Corp. The conversation turned to the AI industry...
Flexion Robotics, a startup founded by ex-Nvidia engineers, has a clever way of training robots to do useful work.
Today, Google DeepMind released DiffusionGemma - an experimental open model built for exceptionally fast text generation. NVIDIA has optimized DiffusionGemma...