Announcement
Nov 13, 2026
Faster Scientific Simulations with New FP64 Algorithms in NVIDIA cuBLAS
Many scientific simulations, from molecular chemistry to materials science, spend the majority of their execution time computing high-precision dense general...
12 MIN READ
Nov 02, 2026
Keep Distributed Training Running with Automated Workload Recovery
As distributed AI training scales, failures across hardware and software dependencies increasingly disrupt training progress, making fast, reliable recovery...
12 MIN READ
Oct 27, 2026
Memory-Enforced GPU Sharing in Kubernetes with NVIDIA CUDA 13.4
Many AI workloads need only a fraction of a GPU. Giving each one an entire device can leave capacity idle; sharing GPUs lets platform teams serve more...
7 MIN READ
Oct 26, 2026
How NVIDIA Mission Control 2.5 Brings Autonomous Recovery to Kubernetes
Training large-scale AI models on thousands of GPUs is a high-stakes operation where monitoring and automation must be built-in to optimize cluster resiliency...
9 MIN READ
Oct 21, 2026
Design Proteins with RFD4-Proteina Using Reward-Guided Inference-Time Search
Protein design is a search problem. Choose amino acids for an eight-residue protein sequence and more than 25 billion combinations are possible. Choose amino...
12 MIN READ
Oct 21, 2026
How NVIDIA OpenShell Reference Architecture Secures and Governs AI Agent Workloads at Scale
Autonomous agents can work for hours on complex tasks, accessing files, tools, the internet, and spawning other agents to collaborate with. Executing complex...
7 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
Oct 06, 2026
AICR v1.0: Open, stable, and verifiable GPU cluster configuration
GPU-accelerated Kubernetes clusters depend on compatible versions across dozens of components, each on its own release cycle: host kernels, GPU drivers,...
6 MIN READ
Sep 22, 2026
Topology-Aware Workload Scheduling with NVIDIA Topograph
AI factories are power-limited systems that deliver maximum value when fully optimized. GPU workload placement is a key optimization. Poor workload placement...
12 MIN READ
Sep 08, 2026
Introducing CUDA Rust: Two Tracks for Writing GPU Kernels
In September 2026, NVIDIA announced it is leaning into native GPU programming in Rust. CUDA C++ and CUDA Python are mature, enterprise-grade toolchains, and...
13 MIN READ
Aug 25, 2026
CUDA Python 1.0: Stable APIs, One Foundation, Full Platform Access
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,...
12 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
Aug 04, 2026
Generate Trajectories, Reasoning Traces, and Auto-Labels with NVIDIA Alpamayo 2 Super
Autonomous vehicle (AV) development often relies on separate models for trajectory generation, high-level intent prediction, scene understanding, and data...
13 MIN READ
Jul 31, 2026
NVIDIA Video Codec SDK 13.1: Zero-Copy Transcode, AV1 B-Frames, and Frame-Accurate Seek
The demand for high-quality video continues to accelerate across industries, powering everything from immersive streaming experiences to remote collaboration,...
14 MIN READ
Jul 15, 2026
Build a Multi-Camera 3D Tracking Application with NVIDIA DeepStream 9.1 Skills
Developers building video analytics applications across large spaces must track the same object as it moves between camera views. Single-camera 2D tracking...
12 MIN READ
Jul 07, 2026
Develop Humanoid Robot Policies End-to-End with NVIDIA Isaac GR00T
As more teams move from humanoid robot bring-up to task-specific skill development, the need for repeatable development workflows is growing. Building...
11 MIN READ