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 🇷🇺

Four Mac Studios combined into a cluster with 1.5 TB of memory – launched an AI that doesn't fit into a single graphics card

The author built a cluster of four Mac Studio computers with 1.5 TB of unified memory provided by Apple, using Exo 1.0 and RDMA over Thunderbolt 5. The cluster achieved 3.7 teraflops in HPL and successfully ran large AI models like Kimi K2 Thinking (600+ GB) and DeepSeek V3.1, showcasing the benefits of combined memory for heavy AI workloads.

Apple

NVIDIA

Exo

Moonshot AI

DeepSeek

Alibaba/Qwen

Habr — хаб ML24.07 · 04:03

Open Source 🇺🇸

NVIDIA open-sources first GPU-accelerated medical physics simulation framework

NVIDIA has announced the open-source release of its Medical Physics Simulation framework, a GPU-accelerated tool for healthcare robotics developers. The framework enables simulation of anatomy-device interactions, synthetic data generation, and parallel training of robot policies, reducing training time from over five hours to under two minutes. Early adopters include CMR Surgical, Johnson & Johnson MedTech, and XCath.

NVIDIA

CMR Surgical

Cambridge Consultants

Johnson & Johnson MedTech

Medtronic

NVIDIA blog24.07 · 03:05

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