DEEPSEEK
NVIDIA cuOpt Solver Cracks Four Previously Unsolved Optimization Problems
NVIDIA's GPU-accelerated cuOpt engine discovers new solutions for four MIPLIB benchmark problems, outperforming CPU solvers with 22% lower objective gaps.
Multi-Node GPU Training Guide Reveals 72B Model Scaling Secrets
Together.ai details how to train 72B parameter models across 128 GPUs, achieving 45-50% utilization with proper network tuning and fault tolerance.
Multiply Labs Deploys NVIDIA-Powered Robots to Slash Cell Therapy Costs 70%
San Francisco startup uses NVIDIA Isaac Sim and Omniverse to automate cell therapy manufacturing, targeting $38B market with robotics that cut contamination risk.
NVIDIA's Breakthrough in LLM Memory: Test-Time Training for Enhanced Context Learning
NVIDIA introduces a novel approach to LLM memory using Test-Time Training (TTT-E2E), offering efficient long-context processing with reduced latency and loss, paving the way for future AI advancements.
NVIDIA Introduces AI-Powered Catalog System for Enhanced E-commerce
NVIDIA's new AI-driven catalog system aims to revitalize e-commerce by offering localized, interactive product experiences, boosting engagement and conversion rates.
NVIDIA's AI Command Layer Optimizes Warehouse Operations
NVIDIA introduces an AI command layer to enhance warehouse operations, transforming fragmented systems into actionable intelligence for improved efficiency and safety.
NVIDIA Launches AI Blueprints to Revolutionize Retail and Warehouse Operations
NVIDIA introduces Multi-Agent Intelligent Warehouse and Retail Catalog Enrichment AI blueprints to streamline retail operations, enhancing efficiency from warehouse management to product cataloging.
NVIDIA Advances Humanoid Robotics with Isaac GR00T N1.6 Sim-to-Real Workflow
NVIDIA unveils Isaac GR00T N1.6, enhancing humanoid robotics through a sim-to-real workflow. The system integrates advanced RL and vision-language-action models for improved real-world applicability.
NVIDIA Launches TensorRT Edge-LLM for Enhanced AI in Automotive and Robotics
NVIDIA introduces TensorRT Edge-LLM, a framework optimized for real-time AI in automotive and robotics, offering high-performance edge inference capabilities.
Japan's Moonshot Initiative Develops NVIDIA-Powered Robots for Elderly Care
The Japan Science and Technology Agency, leveraging NVIDIA's AI, develops robots to assist in elderly care, aiming for integration into daily life by 2050.
