developer.nvidia.comadded August 2026
Nvidia Developer Blogby Michelle Horton26 Aug 2026
Alibaba released the model weights for Qwen3.8-Flash-Next as a preview of the upcoming Qwen4 architecture for developers to experiment with and evaluate.
Nvidia Developer Blogby Michelle Horton25 Aug 2026
When an LLM engine process fails, the standard recovery path involves a cold restart. This requires loading weights into HBM from storage, compiling kernels, and capturing NVIDIA CUDA graphs.
Nvidia Developer Blogby Elizabeth Goodman25 Aug 2026
For years, a Python developer who needed a GPU had two realistic choices: Learn NVIDIA CUDA C++ well enough to write an extension, set up a build toolchain, and maintain bindings back to Python...
Nvidia Developer Blogby Elizabeth Goodman24 Aug 2026
The massive growth of generative AI has fundamentally altered data center design. As distributed model training scales to span hundreds of thousands of GPUs, the scale-out network connecting these...
Nvidia Developer Blogby Elizabeth Goodman24 Aug 2026
AI agents have expanded inference from single-turn interactions into multi-step workflows that reason, invoke tools, coordinate subagents, and carry growing context from one turn to the next.
Nvidia Developer Blogby Tanya Lenz24 Aug 2026
NVIDIA Groq 3 LPX is the interactive AI inference accelerator for the NVIDIA Vera Rubin platform.
Nvidia Developer Blogby Michelle Horton24 Aug 2026
AI factories are interconnected systems where fleet economics depend on how efficiently the entire stack converts power and capital into completed agent tasks.
Nvidia Developer Blogby Michelle Horton24 Aug 2026
Traditional cloud infrastructure was designed for predictable, general-purpose workloads and standard interfaces.
Nvidia Developer Blogby Tanya Lenz24 Aug 2026
AI factories are power-constrained industrial systems. The question is no longer how many GPUs fit in a data center, but how much AI output each available megawatt can deliver.
Nvidia Developer Blogby Elizabeth Goodman21 Aug 2026
Use AdaptGrow, a GPU-accelerated matrix factorization algorithm, to turn rolling correlation and tail-dependence matrices into hard clusters, soft factor loadings, and structural-break signals at...
Nvidia Developer Blogby Michelle Horton21 Aug 2026
As AI agents become more capable and operate over longer horizons, building security and trust into the applications they power becomes increasingly important.
Nvidia Developer Blogby Tanya Lenz21 Aug 2026
A frontier language model is only one component of an AI agent. The surrounding agent system—often called a harness—determines how the model receives context, uses tools, maintains state, responds...
Nvidia Developer Blogby Elizabeth Goodman20 Aug 2026
Recommender systems (RecSys) are one of the most ubiquitous machine learning problems in the consumer internet industry yet notoriously difficult to train and serve at scale.
Nvidia Developer Blogby Elizabeth Goodman19 Aug 2026
NVIDIA Holoscan is a platform for building real-time AI applications at the edge, from medical imaging to robotics.
Nvidia Developer Blogby Tanya Lenz19 Aug 2026
Modern vision-language models (VLMs) can support tasks such as visual question answering, captioning, and image-text reasoning.
Nvidia Developer Blogby Michelle Horton19 Aug 2026
AI agents are only as effective as the context they receive. Even with capable models and well-documented NVIDIA libraries, agents can spend extra steps finding the right tools, burn tokens on dead...
Nvidia Developer Blogby Michelle Horton19 Aug 2026
Robots need policies that can adapt to their sensors, environments, and tasks while running on onboard computing hardware.
Nvidia Developer Blogby Elizabeth Goodman18 Aug 2026
Atomistic simulation requires three things: knowledge of the science, compute-efficient implementation of simulations, and accessible interfaces to the simulation stack.
Nvidia Developer Blogby Tanya Lenz18 Aug 2026
Uniform Manifold Approximation and Projection (UMAP) is a dimensionality reduction technique widely used for visualization and feature extraction.
Nvidia Developer Blogby Tanya Lenz17 Aug 2026
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 the right-sized model for their needs.
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