DEEPSEEK
NVIDIA Enhances PyTorch with NeMo Automodel for Efficient MoE Training
NVIDIA introduces NeMo Automodel to facilitate large-scale mixture-of-experts (MoE) model training in PyTorch, offering enhanced efficiency, accessibility, and scalability for developers.
Enhancing Biology Transformer Models with NVIDIA BioNeMo and PyTorch
NVIDIA's BioNeMo Recipes simplify large-scale biology model training with PyTorch, improving performance using Transformer Engine and other advanced techniques.
NVIDIA Unveils Advanced AI Models: Nemotron Vision, RAG, and Guardrail
NVIDIA introduces new AI models, Nemotron Vision, RAG, and Guardrail, aimed at enhancing specialized AI agents with improved reasoning, safety, and retrieval capabilities.
Build a Bash AI Agent with NVIDIA Nemotron in Under an Hour
Learn how to create a Bash computer use agent using NVIDIA Nemotron Nano v2 in less than an hour, with minimal coding and dependencies.
NVIDIA Introduces Report Generator AI Agent Using Nemotron on OpenRouter
NVIDIA's new workshop guides developers in building a report generator AI agent using Nemotron on OpenRouter, focusing on autonomous decision-making and advanced AI capabilities.
Scaling AI Agents: NVIDIA's Guide to Expanding LangGraph from One to 1,000 Users
NVIDIA reveals strategies for scaling LangGraph AI agents to accommodate up to 1,000 users, utilizing the NeMo Agent Toolkit for performance optimization.
NVIDIA Enhances Training Throughput with NeMo-RL's Megatron-Core
NVIDIA introduces Megatron-Core support in NeMo-RL v0.3, optimizing training throughput for large models with GPU-optimized techniques and enhanced parallelism.
NVIDIA Unveils Advanced AI Models for Smarter Enterprise and Physical Applications
NVIDIA introduces Nemotron and Cosmos reasoning models, enhancing AI agents across various sectors like cybersecurity and robotics, aiming for $450 billion in revenue gains by 2028.
NVIDIA Unveils Llama Nemotron Super v1.5 for Enhanced AI Efficiency
NVIDIA introduces the Llama Nemotron Super v1.5, promising improved accuracy and efficiency in AI applications, particularly in reasoning and agentic tasks.
NVIDIA's NeMo Framework Enables Weekend Training of Reasoning-Capable LLMs
NVIDIA introduces an efficient method to train reasoning-capable language models over a weekend using the NeMo framework, leveraging the Llama Nemotron dataset and LoRA adapters.