# nemoclaw (news sources) — RSS Amplifier Recent posts from the 1 feeds in the RSS Amplifier directory that cover nemoclaw. Page: Feed: --- ## [GPU-Accelerated Clustering for Financial Instruments at Scale](https://developer.nvidia.com/blog/gpu-accelerated-clustering-for-financial-instruments-at-scale/) _2026-08-21 · Elizabeth Goodman · NVIDIA Technical Blog_ Use AdaptGrow, a GPU-accelerated matrix factorization algorithm, to turn rolling correlation and tail-dependence matrices into hard clusters, soft factor... ## [Maximizing AI Factory Performance per Watt with NVIDIA DSX MaxLPS](https://developer.nvidia.com/blog/maximizing-ai-factory-performance-per-watt-with-nvidia-dsx-maxlps/) _2026-08-21 · Tanya Lenz · NVIDIA Technical Blog_ 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... ## [NVIDIA AVO Reaches 100% on ARC-AGI-3, Demonstrating a Frontier-Level General-Purpose Architecture for Long-Horizon Autonomous Agents](https://developer.nvidia.com/blog/nvidia-avo-reaches-100-on-arc-agi-3-demonstrating-a-frontier-level-general-purpose-architecture-for-long-horizon-autonomous-agents/) _2026-08-21 · Tanya Lenz · NVIDIA Technical Blog_ 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... ## [Where Security Fits in an AI Agent Stack](https://developer.nvidia.com/blog/where-security-fits-in-an-ai-agent-stack/) _2026-08-21 · Michelle Horton · NVIDIA Technical Blog_ As AI agents become more capable and operate over longer horizons, building security and trust into the applications they power becomes increasingly important.... ## [How Generative Recommenders Are Redefining RecSys at Scale](https://developer.nvidia.com/blog/how-generative-recommenders-are-redefining-recsys-at-scale/) _2026-08-20 · Elizabeth Goodman · NVIDIA Technical Blog_ Recommender systems (RecSys) are one of the most ubiquitous machine learning problems in the consumer internet industry yet notoriously difficult to train and... ## [Developing NVIDIA Holoscan Applications with CLI, Skills, and AI Coding Agents](https://developer.nvidia.com/blog/developing-nvidia-holoscan-applications-with-cli-skills-and-ai-coding-agents/) _2026-08-19 · Elizabeth Goodman · NVIDIA Technical Blog_ NVIDIA Holoscan is a platform for building real-time AI applications at the edge, from medical imaging to robotics. HoloHub is its companion repository: a... ## [Building Federated Multimodal AI Workflows with NVIDIA FLARE](https://developer.nvidia.com/blog/building-federated-multimodal-ai-workflows-with-nvidia-flare/) _2026-08-19 · Tanya Lenz · NVIDIA Technical Blog_ Modern vision-language models (VLMs) can support tasks such as visual question answering, captioning, and image-text reasoning. In practice, however, the data... ## [Post-Train NVIDIA Cosmos 3 Edge for On-Device Robot Control](https://developer.nvidia.com/blog/post-train-nvidia-cosmos-3-edge-for-on-device-robot-control/) _2026-08-19 · Michelle Horton · NVIDIA Technical Blog_ Robots need policies that can adapt to their sensors, environments, and tasks while running on onboard computing hardware. World models offer a foundation for... [Listen](https://developer.download.nvidia.com/video/devblog/Cosmos3-Robot.mp4) ## [Evaluating AI Agent Skill Performance with NVIDIA SkillEvaluator](https://developer.nvidia.com/blog/evaluating-ai-agent-skill-performance-with-nvidia-skillevaluator/) _2026-08-19 · Michelle Horton · NVIDIA Technical Blog_ 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... ## [How AI Coding Agents Can Unlock Materials Simulation with NVIDIA ALCHEMI Toolkit](https://developer.nvidia.com/blog/how-ai-coding-agents-can-unlock-materials-simulation-with-nvidia-alchemi-toolkit/) _2026-08-18 · Elizabeth Goodman · NVIDIA Technical Blog_ Atomistic simulation requires three things: knowledge of the science, compute-efficient implementation of simulations, and accessible interfaces to the... ## [Accept your Doppler invite (Sponsored)](https://crawlproof.com/a/c69BmLqeuuMH) _2026-08-18 · **Sponsored**_ Create your Doppler account using the invite code you received. ## [Run Massive-Scale UMAP in Minutes Using Multiple GPUs—Without Losing Accuracy](https://developer.nvidia.com/blog/run-massive-scale-umap-in-minutes-using-multiple-gpus-without-losing-accuracy/) _2026-08-18 · Tanya Lenz · NVIDIA Technical Blog_ Uniform Manifold Approximation and Projection (UMAP) is a dimensionality reduction technique widely used for visualization and feature extraction. Applications... ## [Developing Nemotron 3.5 Lightning NVFP4 with QAD Using NVIDIA Model Optimizer](https://developer.nvidia.com/blog/developing-nemotron-3-5-lightning-nvfp4-with-qad-using-nvidia-model-optimizer/) _2026-08-17 · Tanya Lenz · NVIDIA Technical Blog_ 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... ## [Serve Qwen3.8-2.4T-A95B, a 2.4T-Parameter Model, with Configurable Reasoning on NVIDIA GB300 NVL72](https://developer.nvidia.com/blog/serve-qwen3-8-2-4t-a95b-a-2-4t-parameter-model-with-configurable-reasoning-on-nvidia-gb300-nvl72/) _2026-08-12 · Michelle Horton · NVIDIA Technical Blog_ Alibaba released the open weights for Qwen3.8-2.4T-A95B (Qwen3.8-Max), its largest open-weight model, bringing near-frontier capabilities to the open... ## [How to Choose Full-Stack Observability for NVIDIA AI Factories](https://developer.nvidia.com/blog/how-to-choose-full-stack-observability-for-nvidia-ai-factories/) _2026-08-12 · Jorge Cardoso · NVIDIA Technical Blog_ AI infrastructure spans multiple layers, from compute and networking to storage, orchestration, and applications. When performance degrades, identifying the... ## [NVIDIA JetPack 7.2.1 Adds Agentic Video Skills and T3000 Emulation](https://developer.nvidia.com/blog/nvidia-jetpack-7-2-1-adds-agentic-video-skills-and-t3000-emulation/) _2026-08-11 · Elizabeth Goodman · NVIDIA Technical Blog_ Video is a core data path across NVIDIA Jetson applications, from robotics and intelligent video analytics to industrial automation, healthcare, media... ## [NVIDIA Nemotron 3.5 Lightning Delivers Fast, Accurate Specialized Task Execution for Long-Running Agents](https://developer.nvidia.com/blog/nvidia-nemotron-3-5-lightning-delivers-fast-accurate-specialized-task-execution-for-long-running-agents/) _2026-08-11 · Tanya Lenz · NVIDIA Technical Blog_ Long-running AI agents spend most of their time on high-volume execution: tool calls, result validation, and subagent delegation. Using a frontier reasoning... ## [Route AI Agent Workloads Across Models with NVIDIA NeMo Switchyard](https://developer.nvidia.com/blog/route-ai-agent-workloads-across-models-with-nvidia-nemo-switchyard/) _2026-08-11 · Michelle Horton · NVIDIA Technical Blog_ Building an AI agent does not end with choosing a single model. Each model has its own strengths, weaknesses, and cost profile, which can shift from one... ## [Run Local Agentic AI Workflows with Meta’s Muse Glimmer on NVIDIA](https://developer.nvidia.com/blog/run-local-agentic-ai-workflows-with-metas-muse-glimmer-on-nvidia/) _2026-08-10 · Michelle Horton · NVIDIA Technical Blog_ Meta returns to the open source ecosystem with the release of Muse Glimmer, a 30B open-weight dense model with a 120K+ context window built for local AI... ## [Beyond VLAs: How World Action Models Reshape Robot Manipulation](https://developer.nvidia.com/blog/beyond-vlas-how-world-action-models-reshape-robot-manipulation/) _2026-08-04 · Michelle Horton · NVIDIA Technical Blog_ A central challenge in robotics is building policies that generalize beyond the demonstrations they’re trained on. A policy that succeeds in a training scene... ## [Generate Trajectories, Reasoning Traces, and Auto-Labels with NVIDIA Alpamayo 2 Super](https://developer.nvidia.com/blog/generate-trajectories-reasoning-traces-and-auto-labels-with-nvidia-alpamayo-2-super/) _2026-08-04 · Elizabeth Goodman · NVIDIA Technical Blog_ Autonomous vehicle (AV) development often relies on separate models for trajectory generation, high-level intent prediction, scene understanding, and data... ## [100,000 Bonus Points Await You (Sponsored)](https://crawlproof.com/a/s85ovfYHaNd1) _2026-08-04 · **Sponsored**_ Earn 100,000 bonus points after spending $5,000 in the first 3 months. ## [How to Run Isolated Tenant Kubernetes Clusters on Shared GPU Infrastructure](https://developer.nvidia.com/blog/how-to-run-isolated-tenant-kubernetes-clusters-on-shared-gpu-infrastructure/) _2026-08-03 · Tanya Lenz · NVIDIA Technical Blog_ Running a dedicated Kubernetes cluster per team often results in more isolation than an organization requires. While one cluster can be successfully shared... ## [NVIDIA Vera Storage Benchmarks: Faster Encryption, Compression, Integrity Checking, and Recovery for AI-Native Storage](https://developer.nvidia.com/blog/nvidia-vera-storage-benchmarks-faster-encryption-compression-integrity-checking-and-recovery-for-ai-native-storage/) _2026-08-03 · Elizabeth Goodman · NVIDIA Technical Blog_ Storage is an active part of every agentic AI workflow. As agents retrieve enterprise knowledge, access persistent memory, reuse key-value (KV) cache data,... ## [Co-Designing AI Model Attention for Fast, Interactive Long-Context Inference](https://developer.nvidia.com/blog/co-designing-ai-model-attention-for-fast-interactive-long-context-inference/) _2026-07-31 · Tanya Lenz · NVIDIA Technical Blog_ As agentic and long-context workloads become common, the context lengths increase and attention consumes a larger share of inference time (Figure 1). Because... ## [NVIDIA Video Codec SDK 13.1: Zero-Copy Transcode, AV1 B-Frames, and Frame-Accurate Seek](https://developer.nvidia.com/blog/nvidia-video-codec-sdk-13-1-zero-copy-transcode-av1-b-frames-and-frame-accurate-seek/) _2026-07-31 · Elizabeth Goodman · NVIDIA Technical Blog_ The demand for high-quality video continues to accelerate across industries, powering everything from immersive streaming experiences to remote collaboration,... ## [Run High-Performance Core Math at Scale with NVIDIA nvmath-python](https://developer.nvidia.com/blog/run-high-performance-core-math-at-scale-with-nvidia-nvmath-python/) _2026-07-30 · Michelle Horton · NVIDIA Technical Blog_ NVIDIA nvmath-python is a library designed to bridge the gap between the Python scientific community and NVIDIA CUDA-X math libraries. It gives Python users... ## [Four Ways to Deploy More Secure AI Agents](https://developer.nvidia.com/blog/four-ways-to-deploy-more-secure-ai-agents/) _2026-07-30 · Michelle Horton · NVIDIA Technical Blog_ Knowledge workers are increasingly integrating AI agents into their workflows. Agents that function as "digital coworkers" offer clear benefits. For example,... ## [NVIDIA Exemplar Cloud: Lessons for Unlocking Full Performance on AI Infrastructure](https://developer.nvidia.com/blog/nvidia-exemplar-cloud-lessons-for-unlocking-full-performance-on-ai-infrastructure/) _2026-07-30 · Elizabeth Goodman · NVIDIA Technical Blog_ Two AI computing clusters built from identical NVIDIA H100, GB200 NVL72, or GB300 NVL72 systems can deliver materially different training throughput. We... ## [How to Self-Host a Validated AI Coding Assistant with NVIDIA NeMo Guardrails](https://developer.nvidia.com/blog/how-to-self-host-a-validated-ai-coding-assistant-with-nvidia-nemo-guardrails/) _2026-07-29 · Tanya Lenz · NVIDIA Technical Blog_ Deploying an AI coding assistant in a regulated, sovereign, or source-sensitive environment, often comes with challenges. Three common issues are: the source... ## [Developing Healthcare Robotics with GPU-Native Medical Physics Simulation](https://developer.nvidia.com/blog/developing-healthcare-robotics-with-gpu-native-medical-physics-simulation/) _2026-07-28 · Michelle Horton · NVIDIA Technical Blog_ Unlike autonomous driving or industrial robotics, healthcare robotics can’t rely on internet-scale data collection or unlimited real-world experimentation.... [Listen](https://developer.download.nvidia.com/video/devblog/Quest.mp4) ## [NVIDIA Ising Enables Fully Automated Quantum Computer Calibration with Enhanced In-Context Learning](https://developer.nvidia.com/blog/nvidia-ising-enables-fully-automated-quantum-computer-calibration-with-enhanced-in-context-learning/) _2026-07-27 · Tanya Lenz · NVIDIA Technical Blog_ NVIDIA Ising Calibration is an open source vision language model (VLM) designed to interpret diagnostic outputs from quantum processors and determine how they... ## [Watch chovy live code (Sponsored)](https://crawlproof.com/a/9AL61jS4xWqZ) _2026-07-27 · **Sponsored**_ Join Mosh Coding streams with collaborative screen sharing and remote control, open source. ## [Six Agent Harness Capabilities for Higher Model Performance](https://developer.nvidia.com/blog/six-agent-harness-capabilities-for-higher-model-performance/) _2026-07-27 · Michelle Horton · NVIDIA Technical Blog_ Building a great AI agent isn’t just about choosing the right models. The harness is the architecture surrounding the model. How it renders context, executes... ## [NVIDIA Nemotron 3 Ultra Leads Open Models on Accuracy and Efficiency in Agentic RTL Coding](https://developer.nvidia.com/blog/nvidia-nemotron-3-ultra-leads-open-models-on-accuracy-and-efficiency-in-agentic-rtl-coding/) _2026-07-27 · Nirmal Kumar Juluru · NVIDIA Technical Blog_ Modern chip design is increasingly limited by engineering time. Register transfer level (RTL) development and verification require specialized hardware... ## [Advancing Semiconductor Innovation Across Materials Engineering and Manufacturing](https://developer.nvidia.com/blog/advancing-semiconductor-innovation-across-materials-engineering-and-manufacturing/) _2026-07-27 · Tanya Lenz · NVIDIA Technical Blog_ As AI workloads increase, explosive compute demand is pushing the semiconductor industry to meet unprecedented performance targets. Even small delays can have... ## [ModelExpress: Distributing Model Artifacts at the Speed of Light](https://developer.nvidia.com/blog/modelexpress-distributing-model-artifacts-at-the-speed-of-light/) _2026-07-24 · Elizabeth Goodman · NVIDIA Technical Blog_ Every byte moved has a cost. As model checkpoints grow to hundreds of gigabytes or even a terabyte, that cost adds up quickly. To make things even worse, moving... ## [Debugging Ray Tracing Applications Using NVIDIA OptiX Toolkit](https://developer.nvidia.com/blog/debugging-ray-tracing-applications-using-nvidia-optix-toolkit/) _2026-07-23 · Tanya Lenz · NVIDIA Technical Blog_ NVIDIA OptiX ray tracing engine is an application framework for achieving optimal ray tracing performance on the GPU. Applications using OptiX can fail in ways... ## [Start Customizing NVIDIA Nemotron 3 Nano with Prime Intellect Lab in Minutes](https://developer.nvidia.com/blog/start-customizing-nvidia-nemotron-3-nano-with-prime-intellect-lab-in-minutes/) _2026-07-23 · Chris Alexiuk · NVIDIA Technical Blog_ Customization is what enables developers to take a general model and tailor it to use cases, domains, languages, and more. However, customization comes with a... ## [Make Long-Running NVIDIA TensorRT Engine Builds Observable and Cancelable in Python or C++](https://developer.nvidia.com/blog/make-long-running-nvidia-tensorrt-engine-builds-observable-and-cancelable-in-python-or-c/) _2026-07-22 · Michelle Horton · NVIDIA Technical Blog_ A TensorRT engine build can take seconds to many minutes. Large strongly typed models, deep tactic search, and a cold timing cache on a brand-new GPU SKU can... ## [Setting a World Record for MoE Pre-Training on NVIDIA GB300 NVL72](https://developer.nvidia.com/blog/setting-a-world-record-for-moe-pre-training-on-nvidia-gb300-nvl72/) _2026-07-21 · Kirthi Devleker · NVIDIA Technical Blog_ Frontier model pre-training has converged on mixture of experts (MoE), which is fundamentally changing what limits large-scale AI training. As compute per token... ## [Inside NVIDIA Rubin GPU Architecture: Powering the Era of Agentic AI](https://developer.nvidia.com/blog/inside-nvidia-rubin-gpu-architecture-powering-the-era-of-agentic-ai/) _2026-07-21 · Eduardo Alvarez · NVIDIA Technical Blog_ What began as discrete AI model training and human-facing chat interfaces has evolved into always-on AI factories dedicated to producing intelligence at scale.... ## [NVIDIA Vera CPU: Olympus Cores Built for Maximum Single-Thread Performance in Agentic AI](https://developer.nvidia.com/blog/inside-nvidia-vera-cpu-olympus-cores-built-for-maximum-single-threaded-performance-in-agentic-ai/) _2026-07-21 · Praveen Menon · NVIDIA Technical Blog_ Agentic AI shifts more of the critical execution path onto the CPU. Agents operate in sandboxes to execute code, invoke tools, retrieve context, interact with... ## [NVIDIA NVLink: The Scale-Up Network for AI Factories](https://developer.nvidia.com/blog/nvidia-nvlink-the-scale-up-network-for-ai-factories/) _2026-07-20 · Elizabeth Goodman · NVIDIA Technical Blog_ The demand for AI continues to accelerate. Workloads are getting larger, models are becoming more complex, and there is mounting pressure to deploy AI compute... ## [Integrate NVIDIA Omniverse RTX Sensor Simulation Into Existing Apps](https://developer.nvidia.com/blog/integrate-nvidia-omniverse-rtx-sensor-simulation-into-existing-apps/) _2026-07-20 · Tanya Lenz · NVIDIA Technical Blog_ Developers building 3D, design, simulation, robotics, and industrial digital twin applications need ways to bring physical AI capabilities into the tools and... ## [Q&A: How Capcom Brought Path Tracing to RE ENGINE Across PRAGMATA and Resident Evil Requiem](https://developer.nvidia.com/blog/qa-how-capcom-brought-path-tracing-to-re-engine-across-pragmata-and-resident-evil-requiem/) _2026-07-16 · Michelle Horton · NVIDIA Technical Blog_ Capcom's RE ENGINE team set out to bring path tracing into two shipping titles at once, Resident Evil Requiem and PRAGMATA, each with a different visual... ## [Integrating Context-Aware Video AI Agents Into Enterprise Workflows](https://developer.nvidia.com/blog/integrating-context-aware-video-ai-agents-into-enterprise-workflows/) _2026-07-16 · Tanya Lenz · NVIDIA Technical Blog_ A video analytics AI agent that can perceive, reason, and act based on massive amounts of video footage must be integrated with existing workflows and... ## [Scaling Agentic AI Factories Through Extreme Co-Design with NVIDIA BlueField](https://developer.nvidia.com/blog/scaling-agentic-ai-factories-through-extreme-co-design-with-nvidia-bluefield/) _2026-07-16 · Michelle Horton · NVIDIA Technical Blog_ Agentic AI changes the infrastructure pattern for AI factories. One request can trigger many model calls, tool calls, memory lookups, policy checks, storage... ## [Build a Multi-Camera 3D Tracking Application with NVIDIA DeepStream 9.1 Skills](https://developer.nvidia.com/blog/build-a-multi-camera-3d-tracking-application-with-nvidia-deepstream-9-1-skills/) _2026-07-15 · Elizabeth Goodman · NVIDIA Technical Blog_ Developers building video analytics applications across large spaces must track the same object as it moves between camera views. Single-camera 2D tracking... ## [Develop Lightweight USD Runtimes Faster with AI Agents](https://developer.nvidia.com/blog/develop-lightweight-usd-runtimes-faster-with-ai-agents/) _2026-07-15 · Michelle Horton · NVIDIA Technical Blog_ OpenUSD is an open, extensible framework that provides a common scene description language for physical AI. It enables teams to bring CAD data, simulation... ## [Building Faster Cryptography with Carryless Multiplication in NVIDIA CUDA 13.3](https://developer.nvidia.com/blog/building-faster-cryptography-with-carryless-multiplication-in-nvidia-cuda-13-3/) _2026-07-15 · Michelle Horton · NVIDIA Technical Blog_ For over fifteen years, x86 CPUs have shipped with a dedicated hardware instruction for carryless multiplication. It’s a small but stubborn primitive that... ## [Lessons From the Leaderboard: What 5,000+ Kagglers Taught Us About Improving AI Reasoning](https://developer.nvidia.com/blog/lessons-from-the-leaderboard-what-5000-kagglers-taught-us-about-improving-ai-reasoning/) _2026-07-14 · Elizabeth Goodman · NVIDIA Technical Blog_ The NVIDIA Nemotron Model Reasoning Challenge invited the Kaggle community to explore a focused question: What techniques can improve reasoning accuracy when... ## [Post-Train NVIDIA Cosmos 3 in One Day Using Agent Skills](https://developer.nvidia.com/blog/post-train-nvidia-cosmos-3-in-one-day-using-agent-skills/) _2026-07-14 · Tanya Lenz · NVIDIA Technical Blog_ What if autonomous coding AI agents could push your vision reasoning models above 90% accuracy with almost no manual effort? When adapting vision reasoning...