Hardware / Semiconductor

Colorful matrix-like blocks transition into a lattice of spheres, illustrating computation for atomistic simulation.
Oct 29, 2026

Unlocking Tensor Core Performance for Machine Learning Interatomic Potentials

Atomistic simulations help researchers understand how molecules and materials behave, from chemical reactions and phase transitions to mechanical failure....
13 MIN READ
Oct 21, 2026

Achieve Productive AI Capacity Faster and More Predictably with NVIDIA DSX POD

AI factories turn energy into intelligence. But before an AI workload can produce its first token, operators must bring an interconnected system of compute,...
10 MIN READ
Oct 16, 2026

Code, Test, and Deploy on One Machine with NVIDIA RTX Spark

AI agents are changing how software gets built. Developers have gone from writing every line of code by hand to directing agents that write most of the code....
7 MIN READ
A glowing network cube connected by green arrows to a developer, code blocks, a checklist, and a rising bar chart.
Oct 14, 2026

Optimizing Agent Reliability and Tool Calling Efficiency for Chip Design Using NVIDIA NeMo Gym

AI agents offer remarkable productivity gains in complex chip design workflows, but their tendency to generate plausible yet incorrect artifacts makes...
8 MIN READ
Sep 15, 2026

How NVIDIA NVLink 6 Delivers Multi-Layer Resiliency for AI Factories

For operators of large-scale AI factories, maximizing continuous output is essential for productivity. In massive-scale AI training, every GPU in the cluster...
12 MIN READ
Sep 14, 2026

Accelerating Dropless MoE Training in JAX with NVIDIA Transformer Engine

Mixture of experts (MoE) has become one of the defining architectural trends in large-scale AI model training. DeepSeek, Qwen, and Mixtral are examples of MoE...
12 MIN READ
Sep 02, 2026

Co-Designing AI Models Using Speculative Decoding for Faster LLM Inference

This post is the third in a series on AI model co-design. It explores how to accelerate LLM inference while maintaining accuracy using speculative decoding and...
15 MIN READ
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Aug 26, 2026

NVIDIA NVLink Fusion Brings NVHBM to Next-Generation AI Infrastructure

AI factories must support increasingly large models and more complex reasoning workloads. To keep up with the insatiable compute demands of AI workloads,...
7 MIN READ
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Aug 25, 2026

Restore LLM Inference Capacity in Seconds with Shadow Engine Recovery in NVIDIA Dynamo

When an LLM engine process fails, the standard recovery path involves a cold restart. This requires loading weights into HBM from storage, compiling kernels,...
13 MIN READ
Aug 24, 2026

NVIDIA Vera Rubin and Blackwell Set a New Standard for Agentic AI Performance per Watt 

AI agents have expanded inference from single-turn interactions into multi-step workflows that reason, invoke tools, coordinate subagents, and carry growing...
9 MIN READ
Aug 17, 2026

Developing Nemotron 3.5 Lightning NVFP4 with QAD Using NVIDIA Model Optimizer

Teams customize their models to hit their targets for latency, speed, memory, and compute. With the open NVIDIA Nemotron family of models, developers can find...
18 MIN READ
Aug 11, 2026

NVIDIA JetPack 7.2.1 Adds Agentic Video Skills and T3000 Emulation

Video is a core data path across NVIDIA Jetson applications, from robotics and intelligent video analytics to industrial automation, healthcare, media...
7 MIN READ
Jul 31, 2026

Co-Designing AI Model Attention for Fast, Interactive Long-Context Inference

As agentic and long-context workloads become common, the context lengths increase and attention consumes a larger share of inference time (Figure 1). Because...
14 MIN READ
Jul 26, 2026

NVIDIA Nemotron 3 Ultra Leads Open Models on Accuracy and Efficiency in Agentic RTL Coding

Modern chip design is increasingly limited by engineering time. Register transfer level (RTL) development and verification require specialized hardware...
9 MIN READ
Jul 26, 2026

Advancing Semiconductor Innovation Across Materials Engineering and Manufacturing

As AI workloads increase, explosive compute demand is pushing the semiconductor industry to meet unprecedented performance targets. Even small delays can have...
7 MIN READ
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Jun 26, 2026

Creating the NVIDIA Nemotron 3 Ultra NVFP4 Checkpoint with NVIDIA Model Optimizer

As context windows grow longer, moving large model weights efficiently becomes critical to performance. A common way to address this is quantization, an...
16 MIN READ