LLMs
Nov 19, 2025
Breaking Through Reinforcement Learning Training Limits with Scaling Rollouts in BroRL
When training large language models (LLMs) with reinforcement learning from verifiable rewards (RLVR), one of the most compelling questions is how to overcome...
7 MIN READ
Nov 17, 2025
Pioneering AI Co-Scientists for Fusion Research and Cancer Treatment
AI is reshaping scientific research and innovation. Scientists can leverage AI to generate, summarize, combine, and analyze scientific data. AI models can find...
8 MIN READ
Nov 13, 2025
Achieve CUTLASS C++ Performance with Python APIs Using CuTe DSL
CuTe, a core component of CUTLASS 3.x, provides a unified algebra for describing data layouts and thread mappings, and abstracts complex memory access patterns...
9 MIN READ
Nov 10, 2025
How to Achieve 4x Faster Inference for Math Problem Solving
Large language models can solve challenging math problems. However, making them work efficiently at scale requires more than a strong checkpoint. You need the...
7 MIN READ
Nov 07, 2025
Benchmarking LLMs on AI-Generated CUDA Code with ComputeEval 2025.2
Can AI coding assistants write efficient CUDA code? To help measure and improve their capabilities, we created ComputeEval, a robust, open source benchmark for...
2 MIN READ
Nov 06, 2025
Enhancing GPU-Accelerated Vector Search in Faiss with NVIDIA cuVS
As companies collect more unstructured data and increasingly use large language models (LLMs), they need faster and more scalable systems. Advanced tools for...
11 MIN READ
Nov 06, 2025
Accelerating Large-Scale Mixture-of-Experts Training in PyTorch
Training massive mixture-of-experts (MoE) models has long been the domain of a few advanced users with deep infrastructure and distributed-systems expertise....
7 MIN READ
Nov 03, 2025
Make Sense of Video Analytics by Integrating NVIDIA AI Blueprints
Organizations are increasingly seeking ways to extract insights from video, audio, and other complex data sources. Retrieval-augmented generation (RAG) enables...
11 MIN READ
Oct 30, 2025
Streamline AI Infrastructure with NVIDIA Run:ai on Microsoft Azure
Modern AI workloads, ranging from large-scale training to real-time inference, demand dynamic access to powerful GPUs. However, Kubernetes environments have...
9 MIN READ
Oct 28, 2025
Develop Specialized AI Agents with New NVIDIA Nemotron Vision, RAG, and Guardrail ModelsÂ
Agentic AI is an ecosystem where specialized language and vision models work together. They handle planning, reasoning, retrieval, and safety guardrailing....
9 MIN READ
Oct 24, 2025
How NVIDIA DGX Spark's Performance Enables Intensive AI Tasks
Today’s demanding AI developer workloads often need more memory than desktop systems provide or require access to software that laptops or PCs lack. This...
5 MIN READ
Oct 23, 2025
Train an LLM on NVIDIA Blackwell with Unsloth—and Scale for Production
Fine-tuning and reinforcement learning (RL) for large language models (LLMs) require advanced expertise and complex workflows, making them out of reach for...
5 MIN READ
Oct 22, 2025
Create Your Own Bash Computer Use Agent with NVIDIA Nemotron in One Hour
What if you could talk to your computer and have it perform tasks through the Bash terminal, without you writing a single command? With NVIDIA Nemotron Nano v2,...
14 MIN READ
Oct 20, 2025
Build an AI Agent to Analyze IT Tickets with NVIDIA Nemotron
Modern organizations generate a massive volume of operational data through ticketing systems, incident reports, service requests, support escalations, and more....
11 MIN READ
Oct 20, 2025
Scaling Large MoE Models with Wide Expert Parallelism on NVL72 Rack Scale Systems
Modern AI workloads have moved well beyond single-GPU inference serving. Model parallelism, which efficiently splits computation across many GPUs, is now the...
10 MIN READ
Oct 15, 2025
Agentic AI Unleashed: Join the AWS & NVIDIA Hackathon
Build the next generation of intelligent, autonomous applications. This isn't just a hackathon—it's your chance to unleash the power of agentic AI and show...
1 MIN READ