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- Code, Test, and Deploy on One Machine with NVIDIA RTX SparkAI 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…
- NVIDIA Nemotron 3.5 Super VL Powers Specialized Agents with Multimodal ReasoningAlways-on agents are taking on longer, more complex enterprise workflows. A single request can involve reading a document, checking information…
- Scale Agentic Coding Workflows with Meta’s Muse Spark Open on NVIDIA GB300 NVL72Meta launches Muse Spark Open, a coding-optimized 816B mixture-of-experts (MoE) model with 42B active parameters and a 1M token context window.…
- Optimizing Agent Reliability and Tool Calling Efficiency for Chip Design Using NVIDIA NeMo GymAI agents offer remarkable productivity gains in complex chip design workflows, but their tendency to generate plausible yet incorrect artifacts…
- How to Rewrite Apache Spark UDFs for GPU Acceleration with AI AgentsEnterprise applications have become increasingly demanding. Agentic AI has compounded the need for vast amounts of enterprise data with frequent,…
- NVIDIA Run:ai Is Now Open Source as Part of NVIDIA DSX AI Factory PlatformNVIDIA is making the full NVIDIA Run:ai platform available as open source software, giving customers, developers, and ecosystem partners access to...
- ReplaySSM: Rethinking State Storage for Faster Hybrid-Model DecodingHybrid models interleave state-space model (SSM) layers with a few attention layers. NVIDIA Nemotron 3, Qwen3.5 through Qwen3.8, Kimi-K3, and…
- 5 Steps to Create SimReady Assets for Robotics with Frontier AI ModelsPreparing CAD assets for robotics simulation requires more than converting geometry to OpenUSD: developers must configure and validate materials,…
- Building Reliable Data Analytics Agents: Lessons from the KDD CupThe NVIDIA KGMON team placed second in the KDD Cup 2026 Data Agents competition with a system built around a simple idea of making an agent's…
- The Machines that Make the MachinesHow we taught robots to assemble GB300 tester trays and what it taught us about robot learning, mechanical intelligence, and good old-fashioned…
- Validate AI Factory Changes with Digital Twins and AI AgentsAI factories are some of the most complex operations in the world, combining GPUs, CPUs, switches, DPUs, and SuperNICs alongside schedulers,…
- Scaling Decision Optimization to 100 Million Variables and Beyond with mPDLP in NVIDIA cuOptSupply chain problems are expanding across more SKUs, lanes, and constraints than ever before, while energy grids are balancing more distributed…
- Faster Scientific Image Analysis with NVIDIA cuPhotonObservatories and telescopes, lasers and X-ray light sources, and other high-throughput instruments generate image data faster than CPU-bound…
- Scale Bitwise-Deterministic Pretraining with NVIDIA Megatron CoreBitwise determinism makes large-scale pretraining easier to debug, validate, and resume reproducibly. These benefits become especially valuable when…
- How DOCA GPUNetIO Unifies GPU-Initiated Networking Across the NVIDIA Software StackGPU applications increasingly need networking and data movement to behave like first-class GPU-controlled operations rather than host-driven…
- AICR v1.0: Open, stable, and verifiable GPU cluster configurationGPU-accelerated Kubernetes clusters depend on compatible versions across dozens of components, each on its own release cycle: host kernels, GPU…
- Control How Your GPU Shares Work with Green ContextsGPU applications increasingly consist of multiple independent components running at the same time within a single process: a latency-sensitive…
- Build Applications on NVIDIA BlueField Faster with NVIDIA DOCA Agent SkillsAI agents are becoming a standard part of development workflows, but general-purpose agents weren't built with specialized infrastructure software…
- Build Local AI Apps with C++ and NVIDIA TensorRT RTX SamplesAdding AI models to local applications requires a portable model format, a reliable runtime, and acceleration that works across target systems. Do…
- Fine-Tuning NVIDIA Nemotron for Saudi Arabic Dialects, with a Path to Other LanguagesAutomatic speech recognition must handle how people actually speak, not only the languages and styles that dominate pretraining data. Regional…