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Federal Register Documents matching 'artificial intelligence' and published on or after 08/10/2025
- Improving the Effectiveness of the Robocall Mitigation Database; Call Authentication Trust Anchor; Advanced Methods To Target and Eliminate Unlawful Robocalls
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Federal Register Documents matching 'artificial intelligence' and published on or after 08/10/2025
- Maximizing Efficiencies in Universal Service Administration
Maximizing Efficiencies in Universal Service Administration
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Federal Register Documents matching 'artificial intelligence' and published on or after 08/10/2025
- Wireless Emergency Alerts; The Emergency Alert System; Modernization of the Nation's Alerting Systems
Wireless Emergency Alerts; The Emergency Alert System; Modernization of the Nation's Alerting Systems
NVIDIA NVLink Fusion Brings NVHBM to Next-Generation AI Infrastructure
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 computeβ¦
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NVIDIA Technical Blog
- Giga-Scale AI and the Ethernet Evolution: How Spectrum-X Ethernet Rewrites the Rules
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 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, standardizedβ¦
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NVIDIA Technical Blog
- NVIDIA BlueField-4 Powers New Scale-In Network Infrastructure for Agentic AI Factories
NVIDIA BlueField-4 Powers New Scale-In Network Infrastructure for Agentic AI Factories
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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Federal Register Documents matching 'artificial intelligence' and published on or after 08/10/2025
- Application for Relief From Disabilities Imposed by Federal Laws With Respect to the Acquisition, Receipt, Transfer, Shipment, Transportation, or Possession of Firearms
Application for Relief From Disabilities Imposed by Federal Laws With Respect to the Acquisition, Receipt, Transfer, Shipment, Transportation, or Possession of Firearms
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Federal Register Documents matching 'artificial intelligence' and published on or after 08/10/2025
- FCC To Review E-Rate Program To Ensure Congress's Vision
FCC To Review E-Rate Program To Ensure Congress's Vision
How to Choose Full-Stack Observability for NVIDIA AI Factories
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 problemsβ¦
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NVIDIA Technical Blog
- NVIDIA Vera Storage Benchmarks: Faster Encryption, Compression, Integrity Checking, and Recovery for AI-Native StorageΒ
NVIDIA Vera Storage Benchmarks: Faster Encryption, Compression, Integrity Checking, and Recovery for AI-Native StorageΒ
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 acrossβ¦
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Robotics & Automation News
- Why the United Statesβ FCC now considers advanced robots a national security risk
Why the United Statesβ FCC now considers advanced robots a national security risk
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Robotics & Automation News
- FCC updates covered list to include foreign-produced advanced robotic devices and power inverters
FCC updates covered list to include foreign-produced advanced robotic devices and power inverters
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Federal Register Documents matching 'artificial intelligence' and published on or after 08/10/2025
- Electronic Delivery of Information Under the Federal Securities Laws
Electronic Delivery of Information Under the Federal Securities Laws
Scaling Agentic AI Factories Through Extreme Co-Design with NVIDIA BlueField
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 keepβ¦
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NVIDIA Technical Blog
- A Practical Guide to GPU-Initiated Communication for Molecular Dynamics at Scale
A Practical Guide to GPU-Initiated Communication for Molecular Dynamics at Scale
Maximize Spectral Efficiency with AI-Native RAN and NVIDIA AI Aerial
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 packetsβ¦
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 network operations, for example, automation typically sits in the Level 2β3 band of TM Forumβs autonomous networks levels taxonomy, streamlining execution of predefined solutions in selective network domains. Reaching Level 4β5 autonomyβ¦
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 and preserved in the Protein Data Bank. Measured data is the backbone for all AI models and workflows that process data as itβs created, act on what matters in real time, and analyzes data for deep insights. With the current rise of modernβ¦
One-Click Multi-Tenant Security withΒ 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 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 daysβ¦
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NVIDIA Technical Blog
- Advancing AI Infrastructure for Agentic AI with NVIDIA DOCA In-Silicon Security
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 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 spanningβ¦