# AI Factory

Specialized computing infrastructure optimized for the AI lifecycle, including data ingestion, training, fine-tuning, and high-volume inference.

This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles.

## From Megawatts to Tokens: How NVIDIA Maximizes AI Factory Production

DevFeed: [From Megawatts to Tokens: How NVIDIA Maximizes AI Factory Production](<https://devfeed.tech/articles/from-megawatts-to-tokens-how-nvidia-maximizes-ai-factory-production-26943.md>)

Original publisher: [Read original article](<https://blogs.nvidia.com/blog/from-megawatts-to-tokens-how-nvidia-maximizes-ai-factory-production/>)

Author: Vishal Ganeriwala

Published: 2026-09-15T16:55:59Z

Content type: article

Language: en

Sources: [NVIDIA Blog](<https://devfeed.tech/sources/nvidia-blog.md>)

Topics: [AI Factory](<https://devfeed.tech/topics/ai-factory.md>), [NVIDIA DSX](<https://devfeed.tech/topics/nvidia-dsx.md>), [datacenter](<https://devfeed.tech/topics/datacenter.md>), [Orchestration](<https://devfeed.tech/topics/orchestration.md>), [Inference](<https://devfeed.tech/topics/inference.md>), [High-Performance Computing](<https://devfeed.tech/topics/high-performance-computing.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ai-factory](<https://devfeed.tech/tags/ai-factory.md>), [ai-infrastructure](<https://devfeed.tech/tags/ai-infrastructure.md>), [capacity](<https://devfeed.tech/tags/capacity.md>), [compute](<https://devfeed.tech/tags/compute.md>), [dsx](<https://devfeed.tech/tags/dsx.md>), [efficiency](<https://devfeed.tech/tags/efficiency.md>), [inference](<https://devfeed.tech/tags/inference.md>), [nvidia](<https://devfeed.tech/tags/nvidia.md>), [orchestration](<https://devfeed.tech/tags/orchestration.md>), [production](<https://devfeed.tech/tags/production.md>)

### AI overview

The article describes how Emerald AI's Conductor platform responds to utility demand signals by adjusting flexible data-center workloads while keeping high-priority AI inference running. It also reports that Lambda's validation found a fixed power budget could support 24% more token throughput when managed intelligently.

### Source excerpt

On a sweltering August evening in Silicon Valley, as the sun dropped and air conditioning loads spiked, Silicon Valley Power sent a signal to an AI factory to adjust its power consumption. Varun Sivaram was watching on Zoom with about forty others -- his team at Emerald AI in their San Francisco conference room, engineers [...]

## How NVIDIA NVLink 6 Delivers Multi-Layer Resiliency for AI Factories

DevFeed: [How NVIDIA NVLink 6 Delivers Multi-Layer Resiliency for AI Factories](<https://devfeed.tech/articles/how-nvidia-nvlink-6-delivers-multi-layer-resiliency-for-ai-factories-26914.md>)

Original publisher: [Read original article](<https://developer.nvidia.com/blog/how-nvidia-nvlink-6-delivers-multi-layer-resiliency-for-ai-factories/>)

Author: Elizabeth Goodman

Published: 2026-09-15T16:55:00Z

Content type: article

Language: en

Sources: [NVIDIA Developer](<https://devfeed.tech/sources/nvidia-developer.md>), [NVIDIA Technical Blog](<https://devfeed.tech/sources/nvidia-technical-blog.md>)

Topics: [NVLink](<https://devfeed.tech/topics/nvlink.md>), [Nvidia](<https://devfeed.tech/topics/nvidia.md>), [AI Factory](<https://devfeed.tech/topics/ai-factory.md>), [AI Infrastructure](<https://devfeed.tech/topics/ai-infrastructure.md>), [Hardware](<https://devfeed.tech/topics/hardware.md>)

Tags: [agentic-ai-generative-ai](<https://devfeed.tech/tags/agentic-ai-generative-ai.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-factory](<https://devfeed.tech/tags/ai-factory.md>), [ai-infrastructure](<https://devfeed.tech/tags/ai-infrastructure.md>), [data-center-cloud](<https://devfeed.tech/tags/data-center-cloud.md>), [hardware](<https://devfeed.tech/tags/hardware.md>), [industry](<https://devfeed.tech/tags/industry.md>), [networking](<https://devfeed.tech/tags/networking.md>), [networking-communications](<https://devfeed.tech/tags/networking-communications.md>), [nvidia](<https://devfeed.tech/tags/nvidia.md>), [nvlink](<https://devfeed.tech/tags/nvlink.md>), [resiliency](<https://devfeed.tech/tags/resiliency.md>), [vera-rubin](<https://devfeed.tech/tags/vera-rubin.md>)

### AI overview

The article describes how NVIDIA NVLink 6 supports resiliency in large-scale AI factories. It explains that Vera Rubin NVL72 connects 72 Rubin GPUs into a single scale-up domain and outlines a multilayer approach using lossless networking, error correction, retry, flow control, and error containment to support continuous training and inference operations.

### Source excerpt

For operators of large-scale AI factories, maximizing continuous output is essential for productivity. In massive-scale AI training, every GPU in the cluster...

## Deploying AI You Control Doesn't Need to be So Hard

DevFeed: [Deploying AI You Control Doesn't Need to be So Hard](<https://devfeed.tech/articles/deploying-ai-you-control-doesn-t-need-to-be-so-hard-10936.md>)

Original publisher: [Read original article](<https://blogs.cisco.com/news/deploying-ai-you-control-doesnt-need-to-be-so-hard>)

Author: Jeetu Patel

Published: 2026-09-10T09:00:50Z

Content type: news

Language: en

Sources: [Cisco Blogs](<https://devfeed.tech/sources/cisco-blogs.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [AI Platforms/Deployment](<https://devfeed.tech/topics/ai-platforms-deployment.md>), [AI Factory](<https://devfeed.tech/topics/ai-factory.md>), [Nvidia](<https://devfeed.tech/topics/nvidia.md>), [Critical Infrastructure](<https://devfeed.tech/topics/critical-infrastructure.md>), [post-training](<https://devfeed.tech/topics/post-training.md>), [data](<https://devfeed.tech/topics/data.md>), [Nemotron](<https://devfeed.tech/topics/nemotron.md>), [on-prem](<https://devfeed.tech/topics/on-prem.md>), [Fine-tuning](<https://devfeed.tech/topics/fine-tuning.md>), [Cloud](<https://devfeed.tech/topics/cloud.md>), [Benchmark](<https://devfeed.tech/topics/benchmark.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ai-factory](<https://devfeed.tech/tags/ai-factory.md>), [ai-infrastructure](<https://devfeed.tech/tags/ai-infrastructure.md>), [ai-strategy](<https://devfeed.tech/tags/ai-strategy.md>), [cisco-cloud-control-framework](<https://devfeed.tech/tags/cisco-cloud-control-framework.md>), [cisco-secure-ai-factory](<https://devfeed.tech/tags/cisco-secure-ai-factory.md>), [cloud](<https://devfeed.tech/tags/cloud.md>), [critical-infrastructure](<https://devfeed.tech/tags/critical-infrastructure.md>), [data](<https://devfeed.tech/tags/data.md>), [executive-platform](<https://devfeed.tech/tags/executive-platform.md>), [fine-tuning](<https://devfeed.tech/tags/fine-tuning.md>), [infrastructure](<https://devfeed.tech/tags/infrastructure.md>), [model](<https://devfeed.tech/tags/model.md>), [models](<https://devfeed.tech/tags/models.md>), [nemotron](<https://devfeed.tech/tags/nemotron.md>), [nvidia](<https://devfeed.tech/tags/nvidia.md>), [on-prem](<https://devfeed.tech/tags/on-prem.md>), [post-training](<https://devfeed.tech/tags/post-training.md>)

### AI overview

Cisco announces a collaboration with Palantir to deliver Palantir's Ontology for Cybersecurity through Cisco's Secure AI Factory, using NVIDIA as a preferred full-stack foundation for Palantir's Sovereign AI OS. The article argues that enterprise AI decisions should balance intelligence, cost, and control, including custom evaluations, post-training with proprietary data, and deployment in the cloud, at the edge, or on-premises.

### Source excerpt

Announcing a collaboration with Palantir to deliver Cisco's Secure AI Factory with NVIDIA as a preferred full-stack foundation for Palantir's Sovereign AI OS.

## ASUS Lays Out a Full AI Factory Platform: Vera Rubin NVL72 Racks, STX Storage, and a Governance Layer

DevFeed: [ASUS Lays Out a Full AI Factory Platform: Vera Rubin NVL72 Racks, STX Storage, and a Governance Layer](<https://devfeed.tech/articles/asus-lays-out-a-full-ai-factory-platform-vera-rubin-nvl72-racks-stx-storage-and-a-governance-layer-12358.md>)

Original publisher: [Read original article](<https://www.storagereview.com/news/asus-lays-out-a-full-ai-factory-platform-vera-rubin-nvl72-racks-stx-storage-and-a-governance-layer>)

Author: Lyle Smith

Published: 2026-09-04T17:54:45Z

Content type: article

Language: en

Sources: [StorageReview.com](<https://devfeed.tech/sources/storagereview-com.md>)

Topics: [AI Factory](<https://devfeed.tech/topics/ai-factory.md>), [AI Infrastructure](<https://devfeed.tech/topics/ai-infrastructure.md>), [AI Platform](<https://devfeed.tech/topics/ai-platform.md>), [NVIDIA Vera Rubin](<https://devfeed.tech/topics/nvidia-vera-rubin.md>), [NVIDIA DGX](<https://devfeed.tech/topics/nvidia-dgx.md>), [NVIDIA Vera](<https://devfeed.tech/topics/nvidia-vera.md>), [MLOps](<https://devfeed.tech/topics/mlops.md>), [NVIDIA DSX](<https://devfeed.tech/topics/nvidia-dsx.md>), [ai-governance](<https://devfeed.tech/topics/ai-governance.md>), [Server](<https://devfeed.tech/topics/server.md>)

Tags: [2026](<https://devfeed.tech/tags/2026.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-factory](<https://devfeed.tech/tags/ai-factory.md>), [ai-governance](<https://devfeed.tech/tags/ai-governance.md>), [ai-infrastructure](<https://devfeed.tech/tags/ai-infrastructure.md>), [asus](<https://devfeed.tech/tags/asus.md>), [enterprise](<https://devfeed.tech/tags/enterprise.md>), [mlops](<https://devfeed.tech/tags/mlops.md>), [nvidia-dsx](<https://devfeed.tech/tags/nvidia-dsx.md>), [nvidia-vera](<https://devfeed.tech/tags/nvidia-vera.md>), [nvl72](<https://devfeed.tech/tags/nvl72.md>), [object-storage](<https://devfeed.tech/tags/object-storage.md>), [platform](<https://devfeed.tech/tags/platform.md>), [storage](<https://devfeed.tech/tags/storage.md>), [vera-rubin-nvl72](<https://devfeed.tech/tags/vera-rubin-nvl72.md>)

### AI overview

ASUS is broadening its AI infrastructure business from individual servers to a full AI factory platform covering accelerated computing, networking, storage, deployment, infrastructure management, MLOps, and governance. The article describes NVIDIA DSX-based planning, ASUS deployment and management tools, governance for AI services and autonomous agents, and server systems based on NVIDIA Vera Rubin hardware.

### Source excerpt

ASUS is expanding its role in AI infrastructure, moving from individual AI servers to platforms for building, deploying, and operating entire AI factories. At AI Tech 2026 in Seoul, the company laid out a broader strategy that brings accelerated computing, networking, storage, deployment software, infrastructure management, and AI governance together under one platform. That puts The post ASUS Lays Out a Full AI Factory Platform: Vera Rubin NVL72 Racks, STX Storage, and a Governance Layer appeared first on StorageReview.com.

## Delivering Vera: NVIDIA's First CPU Built for Agents Is Shipping Now

DevFeed: [Delivering Vera: NVIDIA's First CPU Built for Agents Is Shipping Now](<https://devfeed.tech/articles/delivering-vera-nvidia-s-first-cpu-built-for-agents-is-shipping-now-6962.md>)

Original publisher: [Read original article](<https://blogs.nvidia.com/blog/vera-cpu-delivery/>)

Author: Ian Finder

Published: 2026-08-27T13:00:17Z

Content type: article

Language: en

Sources: [NVIDIA Blog](<https://devfeed.tech/sources/nvidia-blog.md>)

Topics: [Vera CPU](<https://devfeed.tech/topics/vera-cpu.md>), [cpu](<https://devfeed.tech/topics/cpu.md>), [NVIDIA Vera](<https://devfeed.tech/topics/nvidia-vera.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [AI Factory](<https://devfeed.tech/topics/ai-factory.md>), [Nvidia](<https://devfeed.tech/topics/nvidia.md>), [Amazon Web Services](<https://devfeed.tech/topics/aws.md>), [Amazon EC2](<https://devfeed.tech/topics/amazon-ec2.md>), [GPU](<https://devfeed.tech/topics/gpu.md>)

Tags: [agentic-ai](<https://devfeed.tech/tags/agentic-ai.md>), [agents](<https://devfeed.tech/tags/agents.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-factory](<https://devfeed.tech/tags/ai-factory.md>), [ai-infrastructure](<https://devfeed.tech/tags/ai-infrastructure.md>), [ai-training](<https://devfeed.tech/tags/ai-training.md>), [amazon-ec2](<https://devfeed.tech/tags/amazon-ec2.md>), [aws](<https://devfeed.tech/tags/aws.md>), [corporate](<https://devfeed.tech/tags/corporate.md>), [cpu](<https://devfeed.tech/tags/cpu.md>), [gpu](<https://devfeed.tech/tags/gpu.md>), [hardware](<https://devfeed.tech/tags/hardware.md>), [nvidia](<https://devfeed.tech/tags/nvidia.md>), [nvidia-vera](<https://devfeed.tech/tags/nvidia-vera.md>), [orchestration](<https://devfeed.tech/tags/orchestration.md>), [rubin-gpu](<https://devfeed.tech/tags/rubin-gpu.md>), [vera-cpu](<https://devfeed.tech/tags/vera-cpu.md>)

### AI overview

NVIDIA is shipping Vera, a CPU designed for agentic AI workloads, to AWS and other organizations across the AI ecosystem. The article describes Vera's 88 custom Olympus cores, 1.2TB/s memory bandwidth, and up to 1.8x faster per-core performance on agentic AI workloads, alongside its role in supporting concurrent CPU-intensive tasks such as tool calls, orchestration, retrieval, software testing, and data analysis.

### Source excerpt

NVIDIA Vice President of Hyperscale and HPC Ian Buck hand-delivers Vera CPU systems across the AI ecosystem as Vera begins shipping at scale.

## How XPUs Meet a World-Class AI Factory

DevFeed: [How XPUs Meet a World-Class AI Factory](<https://devfeed.tech/articles/how-xpus-meet-a-world-class-ai-factory-6958.md>)

Original publisher: [Read original article](<https://blogs.nvidia.com/blog/nvlink-fusion-xpu-ai-factory/>)

Author: Jesse Clayton

Published: 2026-08-24T15:00:54Z

Content type: article

Language: en

Sources: [NVIDIA Blog](<https://devfeed.tech/sources/nvidia-blog.md>)

Topics: [AI Factory](<https://devfeed.tech/topics/ai-factory.md>), [NVLink](<https://devfeed.tech/topics/nvlink.md>), [AI Infrastructure](<https://devfeed.tech/topics/ai-infrastructure.md>), [Network](<https://devfeed.tech/topics/network.md>), [networking](<https://devfeed.tech/topics/networking.md>), [Low Latency](<https://devfeed.tech/topics/low-latency.md>), [moe](<https://devfeed.tech/topics/moe.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Nvidia](<https://devfeed.tech/topics/nvidia.md>), [AI Platform](<https://devfeed.tech/topics/ai-platform.md>), [Latency](<https://devfeed.tech/topics/latency.md>)

Tags: [agentic-ai](<https://devfeed.tech/tags/agentic-ai.md>), [ai-factory](<https://devfeed.tech/tags/ai-factory.md>), [ai-infrastructure](<https://devfeed.tech/tags/ai-infrastructure.md>), [ecosystem](<https://devfeed.tech/tags/ecosystem.md>), [ethernet](<https://devfeed.tech/tags/ethernet.md>), [gb300-nvl72](<https://devfeed.tech/tags/gb300-nvl72.md>), [hardware](<https://devfeed.tech/tags/hardware.md>), [mixture-of-experts](<https://devfeed.tech/tags/mixture-of-experts.md>), [networking](<https://devfeed.tech/tags/networking.md>), [nvidia-dsx](<https://devfeed.tech/tags/nvidia-dsx.md>), [nvl72](<https://devfeed.tech/tags/nvl72.md>), [nvlink](<https://devfeed.tech/tags/nvlink.md>), [software](<https://devfeed.tech/tags/software.md>), [time](<https://devfeed.tech/tags/time.md>), [xpu](<https://devfeed.tech/tags/xpu.md>)

### AI overview

The article explains how NVLink Fusion combines custom XPUs with NVIDIA's established AI infrastructure to help build semi-custom AI factories. It focuses on scale-up networking, performance, resiliency, telemetry, platform maturity, and the economics of large-scale AI workloads.

### Source excerpt

To generate intelligence at scale, AI factories run continuously, and their economics are defined by delivered output: tokens per second, tokens per watt, cost per token, utilization and uptime. That requires AI infrastructure designed and built as a full factory, not a collection of individual accelerators. Hyperscalers and AI-native companies building custom XPUs must consider [...]

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

DevFeed: [NVIDIA BlueField-4 Powers New Scale-In Network Infrastructure for Agentic AI Factories](<https://devfeed.tech/articles/nvidia-bluefield-4-powers-new-scale-in-network-infrastructure-for-agentic-ai-factories-6889.md>)

Original publisher: [Read original article](<https://developer.nvidia.com/blog/nvidia-bluefield-4-powers-new-scale-in-network-infrastructure-for-agentic-ai-factories/>)

Author: Michelle Horton

Published: 2026-08-24T15:00:00Z

Content type: article

Language: en

Sources: [NVIDIA Developer](<https://devfeed.tech/sources/nvidia-developer.md>), [NVIDIA Technical Blog](<https://devfeed.tech/sources/nvidia-technical-blog.md>)

Topics: [AI Factory](<https://devfeed.tech/topics/ai-factory.md>), [AI Infrastructure](<https://devfeed.tech/topics/ai-infrastructure.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [networking](<https://devfeed.tech/topics/networking.md>), [Nvidia](<https://devfeed.tech/topics/nvidia.md>), [cloud-infrastructure](<https://devfeed.tech/topics/cloud-infrastructure.md>), [datacenter](<https://devfeed.tech/topics/datacenter.md>), [Cloud](<https://devfeed.tech/topics/cloud.md>), [NVLink](<https://devfeed.tech/topics/nvlink.md>), [InfiniBand](<https://devfeed.tech/topics/infiniband.md>)

Tags: [agentic-ai](<https://devfeed.tech/tags/agentic-ai.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-factory](<https://devfeed.tech/tags/ai-factory.md>), [ai-infrastructure](<https://devfeed.tech/tags/ai-infrastructure.md>), [bluefield-dpu](<https://devfeed.tech/tags/bluefield-dpu.md>), [connectx](<https://devfeed.tech/tags/connectx.md>), [data-center-cloud](<https://devfeed.tech/tags/data-center-cloud.md>), [data-centers](<https://devfeed.tech/tags/data-centers.md>), [dsx](<https://devfeed.tech/tags/dsx.md>), [grace-cpu](<https://devfeed.tech/tags/grace-cpu.md>), [infiniband](<https://devfeed.tech/tags/infiniband.md>), [infrastructure](<https://devfeed.tech/tags/infrastructure.md>), [network](<https://devfeed.tech/tags/network.md>), [networking](<https://devfeed.tech/tags/networking.md>), [networking-communications](<https://devfeed.tech/tags/networking-communications.md>), [nvidia](<https://devfeed.tech/tags/nvidia.md>), [nvlink](<https://devfeed.tech/tags/nvlink.md>), [top-stories](<https://devfeed.tech/tags/top-stories.md>), [vera-cpu](<https://devfeed.tech/tags/vera-cpu.md>), [vera-rubin](<https://devfeed.tech/tags/vera-rubin.md>)

### AI overview

NVIDIA describes Scale-In network infrastructure for agentic AI factories, centered on BlueField-4, DOCA, and Spectrum-X Ethernet. The architecture is intended to accelerate networking, storage, security, data movement, tenant isolation, and infrastructure operations as AI compute scales.

### Source excerpt

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

## Maximizing AI Factory Performance per Watt with NVIDIA DSX MaxLPS

DevFeed: [Maximizing AI Factory Performance per Watt with NVIDIA DSX MaxLPS](<https://devfeed.tech/articles/maximizing-ai-factory-performance-per-watt-with-nvidia-dsx-maxlps-6883.md>)

Original publisher: [Read original article](<https://developer.nvidia.com/blog/maximizing-ai-factory-performance-per-watt-with-nvidia-dsx-maxlps/>)

Author: Tanya Lenz

Published: 2026-08-24T15:00:00Z

Content type: article

Language: en

Sources: [NVIDIA Developer](<https://devfeed.tech/sources/nvidia-developer.md>), [NVIDIA Technical Blog](<https://devfeed.tech/sources/nvidia-technical-blog.md>)

Topics: [AI Factory](<https://devfeed.tech/topics/ai-factory.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Optimization](<https://devfeed.tech/topics/optimization.md>), [datacenter](<https://devfeed.tech/topics/datacenter.md>), [GPU](<https://devfeed.tech/topics/gpu.md>), [Inference](<https://devfeed.tech/topics/inference.md>), [Nvidia](<https://devfeed.tech/topics/nvidia.md>), [Provisioning](<https://devfeed.tech/topics/provisioning.md>), [systems](<https://devfeed.tech/topics/systems.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ai-factory](<https://devfeed.tech/tags/ai-factory.md>), [ai-inference](<https://devfeed.tech/tags/ai-inference.md>), [compute](<https://devfeed.tech/tags/compute.md>), [data-center](<https://devfeed.tech/tags/data-center.md>), [data-center-cloud](<https://devfeed.tech/tags/data-center-cloud.md>), [dsx](<https://devfeed.tech/tags/dsx.md>), [efficiency](<https://devfeed.tech/tags/efficiency.md>), [gpu](<https://devfeed.tech/tags/gpu.md>), [inference](<https://devfeed.tech/tags/inference.md>), [infrastructure](<https://devfeed.tech/tags/infrastructure.md>), [nvidia](<https://devfeed.tech/tags/nvidia.md>), [nvidia-dsx](<https://devfeed.tech/tags/nvidia-dsx.md>), [optimization](<https://devfeed.tech/tags/optimization.md>), [performance](<https://devfeed.tech/tags/performance.md>), [scale](<https://devfeed.tech/tags/scale.md>), [tokens](<https://devfeed.tech/tags/tokens.md>), [vera-rubin-nvl72](<https://devfeed.tech/tags/vera-rubin-nvl72.md>)

### AI overview

NVIDIA DSX MaxLPS is presented as a suite of chip, thermal, system, and software technologies for increasing AI factory throughput within a fixed power budget. The article emphasizes application-level performance per watt, dynamic power allocation, software power optimization, and warm-water liquid cooling as ways to convert more site power into AI inference output.

### Source excerpt

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 NVLink: The Scale-Up Network for AI Factories

DevFeed: [NVIDIA NVLink: The Scale-Up Network for AI Factories](<https://devfeed.tech/articles/nvidia-nvlink-the-scale-up-network-for-ai-factories-6905.md>)

Original publisher: [Read original article](<https://developer.nvidia.com/blog/nvidia-nvlink-the-scale-up-network-for-ai-factories/>)

Author: Elizabeth Goodman

Published: 2026-07-20T15:46:28Z

Content type: article

Language: en

Sources: [NVIDIA Developer](<https://devfeed.tech/sources/nvidia-developer.md>), [NVIDIA Technical Blog](<https://devfeed.tech/sources/nvidia-technical-blog.md>)

Topics: [NVLink](<https://devfeed.tech/topics/nvlink.md>), [AI Factory](<https://devfeed.tech/topics/ai-factory.md>), [AI Infrastructure](<https://devfeed.tech/topics/ai-infrastructure.md>), [GPU](<https://devfeed.tech/topics/gpu.md>), [networking](<https://devfeed.tech/topics/networking.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Nvidia](<https://devfeed.tech/topics/nvidia.md>), [datacenter](<https://devfeed.tech/topics/datacenter.md>), [Latency](<https://devfeed.tech/topics/latency.md>), [Mixture of Experts (MoE)](<https://devfeed.tech/topics/mixture-of-experts-moe.md>), [Inference Performance](<https://devfeed.tech/topics/inference-performance.md>), [Low Latency](<https://devfeed.tech/topics/low-latency.md>)

Tags: [agentic-ai-generative-ai](<https://devfeed.tech/tags/agentic-ai-generative-ai.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-factory](<https://devfeed.tech/tags/ai-factory.md>), [ai-inference](<https://devfeed.tech/tags/ai-inference.md>), [ai-infrastructure](<https://devfeed.tech/tags/ai-infrastructure.md>), [collective](<https://devfeed.tech/tags/collective.md>), [communication](<https://devfeed.tech/tags/communication.md>), [compute](<https://devfeed.tech/tags/compute.md>), [data-center](<https://devfeed.tech/tags/data-center.md>), [featured](<https://devfeed.tech/tags/featured.md>), [gpu](<https://devfeed.tech/tags/gpu.md>), [inference](<https://devfeed.tech/tags/inference.md>), [infiniband](<https://devfeed.tech/tags/infiniband.md>), [latency](<https://devfeed.tech/tags/latency.md>), [low-latency](<https://devfeed.tech/tags/low-latency.md>), [mixture-of-experts-moe](<https://devfeed.tech/tags/mixture-of-experts-moe.md>), [networking](<https://devfeed.tech/tags/networking.md>), [nvidia](<https://devfeed.tech/tags/nvidia.md>), [nvlink](<https://devfeed.tech/tags/nvlink.md>), [production](<https://devfeed.tech/tags/production.md>), [scale](<https://devfeed.tech/tags/scale.md>), [spectrum-ethernet](<https://devfeed.tech/tags/spectrum-ethernet.md>), [spectrum-x](<https://devfeed.tech/tags/spectrum-x.md>), [speed](<https://devfeed.tech/tags/speed.md>), [systems](<https://devfeed.tech/tags/systems.md>), [vera-rubin](<https://devfeed.tech/tags/vera-rubin.md>)

### AI overview

NVIDIA NVLink is presented as a scale-up networking fabric for AI factories. It provides high-bandwidth, low-latency GPU-to-GPU communication for large AI inference, training, and parallel-computing workloads, with collective-operation acceleration and rack-level resiliency.

### Source excerpt

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...

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

DevFeed: [Scaling Agentic AI Factories Through Extreme Co-Design with NVIDIA BlueField](<https://devfeed.tech/articles/scaling-agentic-ai-factories-through-extreme-co-design-with-nvidia-bluefield-6937.md>)

Original publisher: [Read original article](<https://developer.nvidia.com/blog/scaling-agentic-ai-factories-through-extreme-co-design-with-nvidia-bluefield/>)

Author: Michelle Horton

Published: 2026-07-16T16:00:00Z

Content type: article

Language: en

Sources: [NVIDIA Developer](<https://devfeed.tech/sources/nvidia-developer.md>), [NVIDIA Technical Blog](<https://devfeed.tech/sources/nvidia-technical-blog.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [AI Factory](<https://devfeed.tech/topics/ai-factory.md>), [cloud-infrastructure](<https://devfeed.tech/topics/cloud-infrastructure.md>), [GPU](<https://devfeed.tech/topics/gpu.md>), [Inference](<https://devfeed.tech/topics/inference.md>), [Network](<https://devfeed.tech/topics/network.md>), [networking](<https://devfeed.tech/topics/networking.md>), [Security](<https://devfeed.tech/topics/security.md>), [telemetry](<https://devfeed.tech/topics/telemetry.md>), [systems](<https://devfeed.tech/topics/systems.md>), [NVIDIA Research](<https://devfeed.tech/topics/nvidia-research.md>)

Tags: [accelerate](<https://devfeed.tech/tags/accelerate.md>), [agent](<https://devfeed.tech/tags/agent.md>), [agentic-ai](<https://devfeed.tech/tags/agentic-ai.md>), [agentic-ai-generative-ai](<https://devfeed.tech/tags/agentic-ai-generative-ai.md>), [agents](<https://devfeed.tech/tags/agents.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-agent](<https://devfeed.tech/tags/ai-agent.md>), [ai-factory](<https://devfeed.tech/tags/ai-factory.md>), [architecture](<https://devfeed.tech/tags/architecture.md>), [compute](<https://devfeed.tech/tags/compute.md>), [cpu](<https://devfeed.tech/tags/cpu.md>), [data-center](<https://devfeed.tech/tags/data-center.md>), [data-center-cloud](<https://devfeed.tech/tags/data-center-cloud.md>), [dsx](<https://devfeed.tech/tags/dsx.md>), [featured](<https://devfeed.tech/tags/featured.md>), [gpu](<https://devfeed.tech/tags/gpu.md>), [infrastructure](<https://devfeed.tech/tags/infrastructure.md>), [latency](<https://devfeed.tech/tags/latency.md>), [memory](<https://devfeed.tech/tags/memory.md>), [network](<https://devfeed.tech/tags/network.md>), [networking](<https://devfeed.tech/tags/networking.md>), [networking-communications](<https://devfeed.tech/tags/networking-communications.md>), [nvidia](<https://devfeed.tech/tags/nvidia.md>), [policy](<https://devfeed.tech/tags/policy.md>), [storage](<https://devfeed.tech/tags/storage.md>), [tool](<https://devfeed.tech/tags/tool.md>), [vera-cpu](<https://devfeed.tech/tags/vera-cpu.md>), [vera-rubin](<https://devfeed.tech/tags/vera-rubin.md>), [vera-rubin-nvl72](<https://devfeed.tech/tags/vera-rubin-nvl72.md>)

### AI overview

This article explains how agentic AI and long-context inference create demanding data-path requirements for AI factories. It describes NVIDIA BlueField-4, Vera BlueField-4 STX, and DOCA as infrastructure technologies that offload, accelerate, and isolate networking, storage, security, telemetry, and control-plane services while improving utilization, latency, isolation, cost per token, and energy efficiency.

### Source excerpt

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

## NVIDIA Vera CPU Boosts AI Factory Throughput to Accelerate Agentic Workloads

DevFeed: [NVIDIA Vera CPU Boosts AI Factory Throughput to Accelerate Agentic Workloads](<https://devfeed.tech/articles/nvidia-vera-cpu-boosts-ai-factory-throughput-to-accelerate-agentic-workloads-6910.md>)

Original publisher: [Read original article](<https://developer.nvidia.com/blog/nvidia-vera-cpu-boosts-ai-factory-throughput-to-accelerate-agentic-workloads/>)

Author: Michelle Horton

Published: 2026-07-07T18:10:00Z

Content type: article

Language: en

Sources: [NVIDIA Developer](<https://devfeed.tech/sources/nvidia-developer.md>), [NVIDIA Technical Blog](<https://devfeed.tech/sources/nvidia-technical-blog.md>)

Topics: [Vera CPU](<https://devfeed.tech/topics/vera-cpu.md>), [AI Factory](<https://devfeed.tech/topics/ai-factory.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [systems](<https://devfeed.tech/topics/systems.md>), [Inference](<https://devfeed.tech/topics/inference.md>), [Orchestration](<https://devfeed.tech/topics/orchestration.md>), [model-deployment](<https://devfeed.tech/topics/model-deployment.md>), [Cache](<https://devfeed.tech/topics/cache.md>), [data-processing](<https://devfeed.tech/topics/data-processing.md>), [Neural Network](<https://devfeed.tech/topics/neural-network.md>), [PyTorch](<https://devfeed.tech/topics/pytorch.md>)

Tags: [agentic](<https://devfeed.tech/tags/agentic.md>), [agentic-ai-generative-ai](<https://devfeed.tech/tags/agentic-ai-generative-ai.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-agent](<https://devfeed.tech/tags/ai-agent.md>), [ai-factory](<https://devfeed.tech/tags/ai-factory.md>), [cache](<https://devfeed.tech/tags/cache.md>), [cpu](<https://devfeed.tech/tags/cpu.md>), [data-processing](<https://devfeed.tech/tags/data-processing.md>), [featured](<https://devfeed.tech/tags/featured.md>), [inference](<https://devfeed.tech/tags/inference.md>), [model](<https://devfeed.tech/tags/model.md>), [nvidia-vera](<https://devfeed.tech/tags/nvidia-vera.md>), [orchestration](<https://devfeed.tech/tags/orchestration.md>), [performance](<https://devfeed.tech/tags/performance.md>), [rl](<https://devfeed.tech/tags/rl.md>), [top-stories](<https://devfeed.tech/tags/top-stories.md>), [vera-cpu](<https://devfeed.tech/tags/vera-cpu.md>)

### AI overview

This NVIDIA developer article explains how the NVIDIA Vera CPU can improve AI factory throughput for agentic workloads. It emphasizes sustained per-core performance for CPU tasks between model steps, including tool calls, code execution, sandbox evaluations, data processing, orchestration, KV-cache coordination, and result handling. The article also describes how CPU performance affects reinforcement learning rollouts, user response time, and cached-context efficiency.

### Source excerpt

Agentic systems turn model reasoning into action through multi-step workflows that combine inference, tool use, code execution, retrieval, orchestration, and...

## How to Govern Autonomous Agents in Enterprise AI Factories

DevFeed: [How to Govern Autonomous Agents in Enterprise AI Factories](<https://devfeed.tech/articles/how-to-govern-autonomous-agents-in-enterprise-ai-factories-6851.md>)

Original publisher: [Read original article](<https://developer.nvidia.com/blog/how-to-govern-autonomous-agents-in-enterprise-ai-factories/>)

Author: Michelle Horton

Published: 2026-06-29T15:50:13Z

Content type: tutorial

Language: en

Sources: [NVIDIA Developer](<https://devfeed.tech/sources/nvidia-developer.md>), [NVIDIA Technical Blog](<https://devfeed.tech/sources/nvidia-technical-blog.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [AI Factory](<https://devfeed.tech/topics/ai-factory.md>), [systems](<https://devfeed.tech/topics/systems.md>), [vulnerability management](<https://devfeed.tech/topics/vulnerability-management.md>), [configuration](<https://devfeed.tech/topics/configuration.md>), [Network](<https://devfeed.tech/topics/network.md>), [SOC](<https://devfeed.tech/topics/soc.md>), [ide](<https://devfeed.tech/topics/ide.md>), [browser](<https://devfeed.tech/topics/browser.md>), [Terminal](<https://devfeed.tech/topics/terminal.md>)

Tags: [agentic-ai-generative-ai](<https://devfeed.tech/tags/agentic-ai-generative-ai.md>), [agents](<https://devfeed.tech/tags/agents.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-agent](<https://devfeed.tech/tags/ai-agent.md>), [ai-factory](<https://devfeed.tech/tags/ai-factory.md>), [architecture](<https://devfeed.tech/tags/architecture.md>), [autonomous](<https://devfeed.tech/tags/autonomous.md>), [autonomous-agents](<https://devfeed.tech/tags/autonomous-agents.md>), [browser](<https://devfeed.tech/tags/browser.md>), [data-center-cloud](<https://devfeed.tech/tags/data-center-cloud.md>), [enterprise](<https://devfeed.tech/tags/enterprise.md>), [featured](<https://devfeed.tech/tags/featured.md>), [ide](<https://devfeed.tech/tags/ide.md>), [mlops](<https://devfeed.tech/tags/mlops.md>), [network](<https://devfeed.tech/tags/network.md>), [openshell](<https://devfeed.tech/tags/openshell.md>), [policy](<https://devfeed.tech/tags/policy.md>), [soc](<https://devfeed.tech/tags/soc.md>), [telemetry](<https://devfeed.tech/tags/telemetry.md>), [vulnerability-management](<https://devfeed.tech/tags/vulnerability-management.md>)

### AI overview

This tutorial presents NVIDIA's Secure Agent Workspace Reference Design for governing autonomous AI agents in enterprise environments. It explains how to separate the presentation layer from managed agent execution and enforce identity, network access, credentials, runtime policy, auditing, human review, and workspace isolation.

### Source excerpt

AI agents are quickly moving beyond chat. They inspect code, run tests, read documents, search knowledge bases, query internal systems, and operate for hours on...