NVIDIA OptiX Toolkit (OTK) provides debugging facilities for GPU ray tracing applications, including consistent checking of OptiX and CUDA API error codes and targeted device-side debug printing. OTK,…
NVIDIA and Prime Intellect Lab have partnered to enable developers to customize the NVIDIA Nemotron 3 Nano 30B-A3B model using reinforcement learning with verifiable rewards on the Python Math environ…
NVIDIA TensorRT's IProgressMonitor API lets developers make long-running engine builds observable and cancelable in Python and C++, preventing wasted GPU-hours in agent workflows. The interface provid…
NVIDIA unveiled the Vera CPU with Olympus cores, designed to maximize single-thread performance for agentic AI workloads that shift critical execution paths onto the CPU. The Olympus core features a n…
NVIDIA's Rubin GPU, the core of the Vera Rubin platform, delivers up to 10x more agentic throughput per unit of energy than the Blackwell architecture, according to NVIDIA. The GPU features 336 billio…
NVIDIA GB300 NVL72 set a world record for pre-training DeepSeek-V3 671B at 1,648 TFLOPs per GPU, demonstrating how advances across the AI platform—from silicon to networking to software—push training …
NVIDIA NVLink, the sixth-generation scale-up networking fabric for AI factories, delivers the highest GPU-to-GPU bandwidth and lowest latency all-to-all topology to enable accelerators to work as a si…
NVIDIA has released ovrtx, an RTX sensor simulation library now available as prerelease software on GitHub, enabling developers to generate camera, lidar, radar, and related sensor outputs from OpenUS…
NVIDIA introduced NemoClaw, a collection of open blueprints for building autonomous agents, to integrate context-aware video AI agents into enterprise workflows. The approach combines the NVIDIA Metro…
NVIDIA announced that its BlueField platform, including BlueField-4 DPUs and Vera BlueField-4 STX storage processors, is designed to offload, accelerate, and isolate infrastructure services for agenti…
NVIDIA DeepStream 9.1 introduces AutoMagicCalib (AMC) and Multi-View 3D Tracking (MV3DT) to enable accurate, end-to-end object tracking across multiple camera streams without manual calibration. The o…
NVIDIA has released nanousd-labs, an open-source project that uses AI agents to generate lightweight USD runtimes directly from the USD Core Specification, enabling developers to create custom impleme…
NVIDIA CUDA 13.3 introduces the clmad PTX instruction for carryless multiplication on all Ampere and newer GPUs, enabling hardware-accelerated cryptographic workloads. On the NVIDIA B200, GHASH throug…
More than 5,000 participants across 4,000 teams in the NVIDIA Nemotron Model Reasoning Challenge on Kaggle showed that improving AI reasoning requires treating it as a full engineering workflow, inclu…
NVIDIA announced that combining its open physical AI foundation model Cosmos 3 with TAO agent skills enables post-training of the Cosmos 3 Nano model for video question answering in a single day, boos…
NVIDIA has demonstrated an autoresearch workflow using RL agent skills and the NeMo framework, where a frontier coding agent (Codex with GPT 5.5) autonomously set up a NeMo RL and NeMo Gym stack, crea…
NVIDIA researchers have developed a method using guided diffusion models to estimate the likelihood of rare, high-impact climate events like tropical cyclones, addressing the inefficiency of brute-for…
NVIDIA and Google researchers have developed a host offloading technique in JAX that reduces high-bandwidth memory bottlenecks during LLM training, achieving up to 57% throughput improvements on NVIDI…
NVIDIA published a technical blog post explaining how kernel fusion in CUDA can optimize GPU code by combining multiple operations into a single kernel, reducing memory traffic and launch overhead. Th…
A new guide for AI model developers explains how hardware-aware design choices in large language models can improve throughput and interactivity without sacrificing accuracy, focusing on the trade-off…