…nvidia.com/gpu: "1" Router (a standard deployment—no leader-worker topology needed): apiVersion: apps/v1 kind: Deployment metadata: name: router spec: replicas: 2 selector: matchLabels: app: router template: metadata: labels: app…
…The more users work with the agent, the better it gets. While the integration points are specific to this use case (Slack, Outlook, and GitHub), the pattern of safely mixing public and…
…However, their deployment remains resource-intensive, motivating a growing interest in small language models (SLMs) that offer strong performance at a fraction of the cost. NVIDIA researchers and engineers have demonstrated a…
…Release Information This section provides key details about the latest JetPack release, including version highlights, new features, supported Jetson platforms, and important updates for developers and production deployments. What's New NOTE…
…Release Information This section provides key details about the latest JetPack release, including version highlights, new features, supported Jetson platforms, and important updates for developers and production deployments. What's New NOTE…
…Each layer has its own interface, latency constraints, and integration challenges, and you start to feel them as soon as you move beyond a simple prototype. In this tutorial , you’ll learn…
…Live, time-series visualizations can now be powered directly within a user’s infrastructure dashboard by integrating NCCL Inspector with Prometheus Exporter. NCCL Inspector deployment architecture NCCL 2.30 introduces Prometheus Mode…
…scale, enterprise deployment. System architecture To meet the performance, accuracy, and cost constraints, Justt designed a GPU-accelerated document processing architecture optimized for high-throughput inference. The system integrates Nemotron Parse , part…
…visionOS integration with privacy-preserving foveated streaming, which helps developers deliver better visual quality and performance without rebuilding content for standalone hardware. For developers, this means faster iteration, easier deployment of demanding…
…integrators, and data structures to enable large-scale, batched simulations leveraging AI. ALCHEMI NIM microservices : A scalable layer of cloud‑ready, domain‑specific microservices for chemistry and materials science, enabling deployment and…