❌

Normal view

Improving the Effectiveness of the Robocall Mitigation Database; Call Authentication Trust Anchor; Advanced Methods To Target and Eliminate Unlawful Robocalls

In this document, the Federal Communications Commission (Commission) proposes steps to strengthen the reliability, integrity, and effectiveness of the Robocall Mitigation Database (RMD or Database) as a core component of its illegal-call prevention framework. The Commission proposed measures aim to ensure that RMD filings are accurate, complete, and current, and to safeguard the Database so that only legitimate, transparent, and accountable providers may enter or remain listed. Specifically, the Commission proposes and seeks comment on measures to clarify which entities are required to file in the RMD, enhance the accuracy and completeness of submitted information, and specify which portions of filings may be publicly disclosed. Additionally, the Commission proposes and seeks comment on new tools to prevent bad actors and noncompliant providers from accessing or remaining in the RMD, including strengthened screening procedures for new filers, improved mechanisms for identifying noncompliant providers, expedited removal processes, and safeguards to prevent unauthorized re- entry into the Database.

Maximizing Efficiencies in Universal Service Administration

In this document, the Federal Communications Commission (Commission) seeks to improve the administration of the Universal Service Fund (USF or Fund) by seeking comment on four areas related to USF administration: current USF administration processes, i.e., the processes used by Universal Service Administrative Company (USAC) to administer the USF and the Commission's oversight of those processes; the structure of USF administration, that is, USAC's role and responsibilities related to USF administration; operating costs associated with USF administration; and the impact of USAC's Board of Directors on USF administration.

NVIDIA NVLink Fusion Brings NVHBM to Next-Generation AI Infrastructure

26 August 2026 at 21:06
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…

Source

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

24 August 2026 at 15:08
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…

Source

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

24 August 2026 at 15:00
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.

Source

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.

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.

How to Choose Full-Stack Observability for NVIDIA AI Factories

12 August 2026 at 16:13
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…

Source

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

3 August 2026 at 16:00
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…

Source

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

29 July 2026 at 08:32
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 Commissionβ€˜s β€œCovered 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 […]

FCC updates covered list to include foreign-produced advanced robotic devices and power inverters

29 July 2026 at 08:15
Update follows determinations by executive branch agencies that these devices threaten national security The United States Federal Communications Commission updated its β€œCovered List” to include two new categories of devices – β€œadvanced robotic devices” (defined as mobile robots, such as humanoids and quadrupeds) and, separately, connected power inverters produced in foreign countries. The action follows […]

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.

Scaling Agentic AI Factories Through Extreme Co-Design with NVIDIA BlueField

16 July 2026 at 16:00
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…

Source

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

7 July 2026 at 17:00
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…

Source

How Telcos Build Autonomous Networks with Agentic AI

23 June 2026 at 06:00
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…

Source

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

22 June 2026 at 15:00
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…

Source

One-Click Multi-Tenant Security withΒ  NVIDIA Quantum InfiniBand

11 June 2026 at 19:52
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…

Source

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

1 June 2026 at 04:21
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…

Source

❌