NVIDIA

Latest AI news, models and releases from NVIDIA. ['A100', 'A100-SXM4-80GB', 'AI Aerial', 'AI platform', 'Alpamayo', 'B200', 'B300', 'BioNeMo', 'BioNeMo Agent Toolkit', 'Blackwell', 'Blackwell NVL72', 'Blackwell Ultra', 'BlueField-4', 'BlueField-4 DPU', 'BlueField-4 STX', 'Boltz-2', 'Canary-Qwen-2.5B', 'CMX', 'ConnectX-9', 'ConnectX-9 SuperNIC', 'Cosmos', 'Cosmos 3 Edge', 'Cosmos 3 Edge Policy (DROID)', 'Cosmos 3 Nano', 'Cosmos 3 Super', 'Cosmos 3 Super 4-Step Distillation', 'Cosmos-Dreams', 'Cosmos-H Dreams', 'Cosmos-H-Dreams', 'Cosmos-H-Surgical-Simulator', 'Cosmos-Predict2.5-2B', 'Cosmos-Reason2-2B', 'CUDA', 'DeepSeek-R1', 'DeepSeek V4', 'DeepSeek V4 Pro', 'DGX GB300', 'DGX Spark', 'DGX SuperPOD', 'DGX Vera Rubin NVL72']

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Hardware & Inference 🇺🇸

NVIDIA DGX GB300 Supercomputer Commissioned at U.S. Naval Postgraduate School

NVIDIA CEO Jensen Huang visited the Naval Postgraduate School (NPS) in Monterey to commission an NVIDIA DGX GB300 supercomputer, bringing massive AI computing power to the U.S. military's flagship graduate university. The system will support over 1,500 students and 600 faculty in AI research and education, including weather prediction, cybersecurity, and disaster resilience.

NVIDIA

DataDirect Networks (DDN)

VAST Data

Vertiv

NVIDIA blog24.07 · 01:04

Open Source 🇺🇸 ⚡

Gigatoken: BPE Tokenizer in Rust Encodes Text at 24.53 GB/s, Up to 989x Faster Than HuggingFace Tokenizers

Gigatoken, a BPE tokenizer written in Rust by Stanford PhD student Marcel Rød, achieves text encoding speeds of 24.53 GB/s on a 144-core AMD EPYC system, outperforming HuggingFace tokenizers by 989x and OpenAI's tiktoken by 681x. The library supports 23 tokenizer families and attributes its speed to a hand-optimized pretokenizer using SWAR SIMD techniques and pretoken caching.

OpenAI

Hugging Face

Google/DeepMind