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NVIDIA NVLink Fusion Brings NVHBM to Next-Generation AI Infrastructure

Decorative image.AI factories must support increasingly large models and more complex reasoning workloads. To keep up with the insatiable compute demands of AI workloads,...Decorative image.

AI factories must support increasingly large models and more complex reasoning workloads. To keep up with the insatiable compute demands of AI workloads, hyperscalers and AI-native companies are developing custom AI accelerators, or XPUs. Deploying these accelerators at scale requires high-bandwidth memory (HBM) to keep compute fed, sufficient package and silicon area for more compute…

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Giga-Scale AI and the Ethernet Evolution: How Spectrum-X Ethernet Rewrites the Rules

The massive growth of generative AI has fundamentally altered data center design. As distributed model training scales to span hundreds of thousands of GPUs,...

The massive growth of generative AI has fundamentally altered data center design. As distributed model training scales to span hundreds of thousands of GPUs, the scale-out network connecting these nodes has emerged as a first-order performance bottleneck. For decades, traditional off-the-shelf Ethernet has been the undisputed king of enterprise and cloud networking. It is cheap, standardized…

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NVIDIA BlueField-4 Powers New Scale-In Network Infrastructure for Agentic AI Factories

BlueField-4 render.Traditional cloud infrastructure was designed for predictable, general-purpose workloads and standard interfaces. Agentic AI factories connect diverse users,...BlueField-4 render.

Traditional cloud infrastructure was designed for predictable, general-purpose workloads and standard interfaces. Agentic AI factories connect diverse users, agents, applications, data sources, and storage systems to massively accelerated compute at multi-terabit bandwidth per server, making dedicated DPU processing essential for line-rate networking, storage, and security.

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Application for Relief From Disabilities Imposed by Federal Laws With Respect to the Acquisition, Receipt, Transfer, Shipment, Transportation, or Possession of Firearms

The Department of Justice ("the Department") is implementing criteria to guide determinations for granting relief from disabilities imposed by federal laws with respect to the acquisition, receipt, transfer, shipment, transportation, or possession of firearms. The criteria are designed to ensure that the fundamental right of the people to keep and bear arms is not unduly infringed, that those people granted relief are not likely to act in a manner dangerous to public safety, and that granting such relief would not be contrary to the public interest.
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FCC To Review E-Rate Program To Ensure Congress's Vision

In this document, the Federal Communications Commission (Commission) seeks comment on measures the Commission can take to better protect children when using E-Rate-funded networks, the Commission's progress in ensuring affordable access to high-speed broadband to and within schools and libraries, and whether the Commission's current interpretation of the Children's Internet Protection Act (CIPA) is the best reading of the statute. The Commission also proposes actions to strengthen E-Rate program integrity and streamline program administration.
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How to Choose Full-Stack Observability for NVIDIA AI Factories

A worker in an AI factory.AI infrastructure spans multiple layers, from compute and networking to storage, orchestration, and applications. When performance degrades, identifying the...A worker in an AI factory.

AI infrastructure spans multiple layers, from compute and networking to storage, orchestration, and applications. When performance degrades, identifying the source can be difficult because a symptom observed at one layer may originate elsewhere in the stack. A full-stack observability strategy connects telemetry across these layers, helping infrastructure and operations teams detect problems…

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NVIDIA Vera Storage Benchmarks: Faster Encryption, Compression, Integrity Checking, and Recovery for AI-Native Storage 

Storage is an active part of every agentic AI workflow. As agents retrieve enterprise knowledge, access persistent memory, reuse key-value (KV) cache data,...

Storage is an active part of every agentic AI workflow. As agents retrieve enterprise knowledge, access persistent memory, reuse key-value (KV) cache data, execute tools, and generate new results, storage systems must continuously supply and preserve the data that moves the agent reasoning loop. Each agent step can trigger multiple storage operations, and those operations can repeat across…

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Why the United States’ FCC now considers advanced robots a national security risk

The US government has taken one of its most significant steps yet to regulate advanced robotics, adding foreign-produced humanoids, quadrupeds and other mobile robots to the Federal Communications Commission‘s “Covered List” of technologies considered to pose an unacceptable risk to national security. At first glance, the decision appears surprising. The FCC is best known for […]
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FCC updates covered list to include foreign-produced advanced robotic devices and power inverters

Update follows determinations by executive branch agencies that these devices threaten national security The United States Federal Communications Commission updated its “Covered List” to include two new categories of devices – “advanced robotic devices” (defined as mobile robots, such as humanoids and quadrupeds) and, separately, connected power inverters produced in foreign countries. The action follows […]
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Electronic Delivery of Information Under the Federal Securities Laws

The Securities and Exchange Commission (the "SEC" or the "Commission") is proposing Regulation E-Delivery. The proposed rule sets forth conditions for covered entities to deliver covered information to covered recipients electronically without first obtaining their affirmative consent. The proposed rule further establishes conditions under which the Commission would consider delivery requirements under the Federal securities laws to be satisfied by electronic delivery. The Commission also is proposing to rescind the rule providing alternative means for registered investment companies to satisfy shareholder report transmission requirements, and to amend rules addressing the dissemination of proxy materials and tender offer materials.
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Scaling Agentic AI Factories Through Extreme Co-Design with NVIDIA BlueField

Decorative image.Agentic AI changes the infrastructure pattern for AI factories. One request can trigger many model calls, tool calls, memory lookups, policy checks, storage...Decorative image.

Agentic AI changes the infrastructure pattern for AI factories. One request can trigger many model calls, tool calls, memory lookups, policy checks, storage accesses, and network transfers before a final answer is produced. As more agents run at once and carry context across steps, users, tools, services, and sessions, infrastructure must move, protect, retrieve, and reuse data fast enough to keep…

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Maximize Spectral Efficiency with AI-Native RAN and NVIDIA AI Aerial

An image of a 6G network.Spectrum is one of the most valuable assets in wireless communications. Over the last 30 years, telecom operators in the US have spent more than $240B to...An image of a 6G network.

Spectrum is one of the most valuable assets in wireless communications. Over the last 30 years, telecom operators in the US have spent more than $240B to acquire wireless spectrum. A goal of a radio access network (RAN) system is to extract the maximum spectral efficiency (bits/second/Hertz) possible, which translates into more capacity, stronger network resilience with fewer dropped packets…

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How Telcos Build Autonomous Networks with Agentic AI

Telecom operators are adopting AI across network operations, customer care, and back-office workflows, but most are still early in the journey to autonomy. In...

Telecom operators are adopting AI across network operations, customer care, and back-office workflows, but most are still early in the journey to autonomy. In network operations, for example, automation typically sits in the Level 2–3 band of TM Forum’s autonomous networks levels taxonomy, streamlining execution of predefined solutions in selective network domains. Reaching Level 4–5 autonomy…

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Enable Real-Time AI for High-Speed Data Acquisition with DAQIRI

When AlphaFold2 revolutionized drug discovery in 2020, its success relied entirely on the roughly 170,000 protein structures collected by scientists since 1971...

When AlphaFold2 revolutionized drug discovery in 2020, its success relied entirely on the roughly 170,000 protein structures collected by scientists since 1971 and preserved in the Protein Data Bank. Measured data is the backbone for all AI models and workflows that process data as it’s created, act on what matters in real time, and analyzes data for deep insights. With the current rise of modern…

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One-Click Multi-Tenant Security with  NVIDIA Quantum InfiniBand

NVIDIA Quantum InfiniBand now offers intent-based security profiles in Unified Fabric Manager (UFM) that enable multi-tenant fabric security in a single...

NVIDIA Quantum InfiniBand now offers intent-based security profiles in Unified Fabric Manager (UFM) that enable multi-tenant fabric security in a single click. NVIDIA Quantum InfiniBand supports three profiles: General, Bare Metal Cloud, and Secured Bare Metal Cloud. Network administrators can now auto-configure: This cuts deployment time to minutes from hours or days…

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Advancing AI Infrastructure for Agentic AI with NVIDIA DOCA In-Silicon Security

The AI era is driving a new class of infrastructure: AI factories that transform data into intelligence for autonomous AI agents operating at unprecedented...

The AI era is driving a new class of infrastructure: AI factories that transform data into intelligence for autonomous AI agents operating at unprecedented scale. Powered by accelerated computing, AI factories enable enterprises to train, fine-tune, and deploy AI with greater speed and efficiency. This new class of infrastructure also introduces a fundamentally new attack surface spanning…

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Building Token‑Metered AI Services on Telco AI Factories

Telcos around the world are building sovereign AI factories based on the NVIDIA Cloud Partner (NCP) reference architecture, giving governments, enterprises, and...

Telcos around the world are building sovereign AI factories based on the NVIDIA Cloud Partner (NCP) reference architecture, giving governments, enterprises, and startups access to in‑country AI infrastructure with the right controls, trust, and performance. But infrastructure alone doesn’t get you to high-margin, production-ready enterprise AI services. Model sizes and reasoning workloads…

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How to Eliminate Pipeline Friction in AI Model Serving

The path from a trained AI model to production should be smooth, but rarely is. Many teams invest weeks fine-tuning models, only to discover that exporting to a...

The path from a trained AI model to production should be smooth, but rarely is. Many teams invest weeks fine-tuning models, only to discover that exporting to a deployment format breaks layers, input shapes cause runtime failures, or version mismatches silently degrade performance. These issues are collectively known as pipeline friction, and they cost organizations time, money…

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Introducing NVIDIA Fleet Intelligence for Real-Time GPU Fleet Visibility and Optimization

The compute capability of large GPU fleets presents unprecedented opportunities to innovate and provide value to customers in record time. Yet these...

The compute capability of large GPU fleets presents unprecedented opportunities to innovate and provide value to customers in record time. Yet these advancements come with a variety of challenges. At scale, teams are juggling heterogeneous hardware, fast‑moving software stacks, tight power envelopes, and spiky, multitenant workloads. A single hotspot, misconfigured driver, or subtle hardware fault…

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