Blackwell
Aug 20, 2026
How Generative Recommenders Are Redefining RecSys at Scale
Recommender systems (RecSys) are one of the most ubiquitous machine learning problems in the consumer internet industry yet notoriously difficult to train and...
11 MIN READ
Aug 12, 2026
Serve Qwen3.8-2.4T-A95B, a 2.4T-Parameter Model, with Configurable Reasoning on NVIDIA GB300 NVL72
Alibaba released the open weights for Qwen3.8-2.4T-A95B (Qwen3.8-Max), its largest open-weight model, bringing near-frontier capabilities to the open...
4 MIN READ
Aug 10, 2026
Run Local Agentic AI Workflows with Meta's Muse Glimmer on NVIDIA
Meta returns to the open source ecosystem with the release of Muse Glimmer, a 30B open-weight dense model with a 120K+ context window built for local AI...
5 MIN READ
Jul 30, 2026
NVIDIA Exemplar Cloud: Lessons for Unlocking Full Performance on AI Infrastructure
Two AI computing clusters built from identical NVIDIA H100, GB200 NVL72, or GB300 NVL72 systems can deliver materially different training throughput. We...
12 MIN READ
Jul 21, 2026
Setting a World Record for MoE Pre-Training on NVIDIA GB300 NVL72
Frontier model pre-training has converged on mixture of experts (MoE), which is fundamentally changing what limits large-scale AI training. As compute per...
8 MIN READ
Jul 21, 2026
Inside NVIDIA Rubin GPU Architecture: Powering the Era of Agentic AI
What began as discrete AI model training and human-facing chat interfaces has evolved into always-on AI factories dedicated to producing intelligence at scale....
15 MIN READ
Jul 14, 2026
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...
11 MIN READ
Jul 10, 2026
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,...
9 MIN READ
Jul 10, 2026
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...
17 MIN READ
Jul 09, 2026
A Practical Guide to GPU-Initiated Communication for Molecular Dynamics at Scale
Molecular dynamics (MD) simulations are among the most demanding workloads in computational science. Using them, researchers can observe atomic behavior in...
21 MIN READ
Jul 06, 2026
Enhancing Goodput in Large-Scale LLM Training with Nonuniform Tensor Parallelism
Training LLMs at massive scale brings unique infrastructure challenges, especially as jobs span thousands of GPUs and run for extended periods. The longer...
7 MIN READ
Jul 02, 2026
Hardware-Rooted AI Security That Won't Slow You Down
AI has transformed how organizations operate, driving unprecedented levels of productivity and innovation. However, AI adoption can be impeded by concerns...
6 MIN READ
Jun 24, 2026
Accelerating BEV Pooling on NVIDIA GPUs for Physical AI Applications
An increasingly common design pattern for autonomous vehicles (AVs), robotics, and spatial AI systems is bird's-eye-view (BEV) perception. BEV models project...
15 MIN READ
Jun 23, 2026
Maximize AI Factory Energy Efficiency Through Full-Stack Inference and Training Optimizations
Power can account for 40% of the operating expenses (OpEx) to run an AI factory. Each watt can be spent on overhead, data ingestion, training, or generating...
10 MIN READ
Jun 23, 2026
Boost Inference Performance up to 15x on NVIDIA Blackwell Using DFlash Speculative Decoding
As AI systems move from single-turn interactions to coordinated multiagent workflows, low-latency inference becomes increasingly important. Autoregressive LLMs...
7 MIN READ
Jun 16, 2026
NVIDIA Blackwell Tops MLPerf Training 6.0 with Industry-Leading Scale and Performance
NVIDIA delivered a clean sweep in MLPerf Training v6.0, the latest edition of industry-standard AI training benchmarks developed by the MLCommons consortium....
11 MIN READ