Mixture of Experts (MoE)
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 11, 2026
NVIDIA Nemotron 3.5 Lightning Delivers Fast, Accurate Specialized Task Execution for Long-Running Agents
Long-running AI agents spend most of their time on high-volume execution: tool calls, result validation, and subagent delegation. Using a frontier reasoning...
8 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 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
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 15, 2026
Boosting MoE Training Throughput with Advanced Fusion Kernels
Mixture-of-experts (MoE) models have quickly become a foundational component of modern, large-scale AI systems. They are widely adopted because they enable...
9 MIN READ
Jun 02, 2026
Build Personal AI Agents on Windows PCs with New Tools from Microsoft and NVIDIA
AI agents are changing how you interact with your PC. Creators, developers, and AI enthusiasts are already using these agents extensively to assist with...
9 MIN READ
May 21, 2026
Unlock Exascale Performance on NVIDIA GB200 NVL72 with Slurm Topology-Aware Job Scheduling
As AI models grow in scale and complexity, realizing the full performance of modern accelerated infrastructure depends as much on how workloads are placed as...
10 MIN READ
Apr 11, 2026
MiniMax M2.7 Advances Scalable Agentic Workflows on NVIDIA Platforms for Complex AI ApplicationsÂ
The release of MiniMax M2.7 adds enhancements to the popular MiniMax M2.5 model, built for agentic harnesses,...
4 MIN READ
Mar 12, 2026
Build Next-Gen Physical AI with Edge‑First LLMs for Autonomous Vehicles and Robotics
Physical AI is rapidly evolving, from next-generation software-defined autonomous vehicles (AVs) to humanoid robots. The challenge is no longer how to run a...
7 MIN READ
Mar 11, 2026
Introducing Nemotron 3 Super: An Open Hybrid Mamba-Transformer MoE for Agentic Reasoning
Agentic AI systems need models with the specialized depth to solve dense technical problems autonomously. They must excel at reasoning, coding, and...
12 MIN READ
Mar 09, 2026
Removing the Guesswork from Disaggregated Serving
Deploying and optimizing large language models (LLMs) for high-performance, cost-effective serving can be an overwhelming engineering problem. The ideal...
10 MIN READ
Feb 27, 2026
Develop Native Multimodal Agents with Qwen3.5 VLM Using NVIDIA GPU-Accelerated Endpoints
Alibaba has introduced the new open source Qwen3.5 series built for native multimodal agents. The first model in this series is a ~400B parameter native...
3 MIN READ
Feb 02, 2026
Optimizing Communication for Mixture-of-Experts Training with Hybrid Expert Parallel
In LLM training, Expert Parallel (EP) communication for hyperscale mixture-of-experts (MoE) models is challenging. EP communication is essentially all-to-all,...
11 MIN READ
Jan 08, 2026
Delivering Massive Performance Leaps for Mixture of Experts Inference on NVIDIA Blackwell
As AI models continue to get smarter, people can rely on them for an expanding set of tasks. This leads users—from consumers to enterprises—to interact with AI...
6 MIN READ