Building Faster Cryptography with Carryless Multiplication in NVIDIA CUDA 13.3
For over fifteen years, x86 CPUs have shipped with a dedicated hardware instruction for carryless multiplication. It’s a small but stubborn primitive that...
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Lessons From the Leaderboard: What 5,000+ Kagglers Taught Us About Improving AI Reasoning
The NVIDIA Nemotron Model Reasoning Challenge invited the Kaggle community to explore a focused question: What techniques can improve reasoning accuracy when...
Post-Train NVIDIA Cosmos 3 in One Day Using Agent Skills
What if autonomous coding AI agents could push your vision reasoning models above 90% accuracy with almost no manual effort? When adapting vision reasoning...
How to Run an Autoresearch Workflow with RL Agent Skills and NVIDIA NeMo
Coding AI agents are becoming practical operators for long-running machine learning (ML) workflows. They can inspect repositories, set up runtimes, resolve...
NVIDIA Ising Decoding Cuts Color Code Logical Error Rates by Over 300X
Useful quantum computers will require fault tolerant logical operations. Researchers are actively exploring many different quantum error correction (QEC) codes...
Extreme Event Likelihoods with Guided Generative Models
Across science, engineering, and finance, many of the most important risks come from low-likelihood, high-impact events. Estimating the probability of these...
How to Evaluate General-Purpose Robot Policies for Real-World Deployment
Robotics foundation models have made remarkable progress. Today's best systems can follow natural language instructions to pick, place, sort, and manipulate a...
Reducing High-Bandwidth Memory Bottlenecks in JAX-Based LLM Training with Host Offloading
Large language model (LLM) training workloads increasingly run into GPU memory limits before compute is fully used. Model weights, gradients, optimizer states,...
Kernel Fusion in NVIDIA CUDA: Optimizing Memory Traffic and Launch Overhead
There are many ways to optimize code for GPUs. In this post, you’ll learn how kernel fusion can improve memory bandwidth and reduce kernel launch overhead,...
AI Model Co-Design: Hardware-Friendly LLM Design
AI performance comes down to three dimensions: Accuracy: How well the model reasons and produces outputs Throughput: How many tokens per second a...