# NVIDIA DSX

Published articles for NVIDIA DSX.

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## AI Infra Summit: NVIDIA Vera Rubin and DSX Platform Advancements Showcase Energy Efficiencies of Optimizing Tokens Per Watt for AI Factories

DevFeed: [AI Infra Summit: NVIDIA Vera Rubin and DSX Platform Advancements Showcase Energy Efficiencies of Optimizing Tokens Per Watt for AI Factories](<https://devfeed.tech/articles/ai-infra-summit-nvidia-vera-rubin-and-dsx-platform-advancements-showcase-energy-efficiencies-of-optimizing-tokens-per-watt-for-ai-factories-26942.md>)

Original publisher: [Read original article](<https://blogs.nvidia.com/blog/ai-infra-summit-vera-rubin-dsx-energy-efficiencies-tokens-per-watt-ai-factories/>)

Author: NVIDIA Writers

Published: 2026-09-15T16:55:40Z

Content type: news

Language: en

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

Topics: [AI Infrastructure](<https://devfeed.tech/topics/ai-infrastructure.md>), [Nvidia](<https://devfeed.tech/topics/nvidia.md>), [DSX](<https://devfeed.tech/topics/dsx.md>), [Vera Rubin](<https://devfeed.tech/topics/vera-rubin.md>), [Low-Latency Inference](<https://devfeed.tech/topics/low-latency-inference.md>), [NVLink](<https://devfeed.tech/topics/nvlink.md>), [Conversational AI](<https://devfeed.tech/topics/conversational-ai.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ai-infrastructure](<https://devfeed.tech/tags/ai-infrastructure.md>), [dsx](<https://devfeed.tech/tags/dsx.md>), [inference](<https://devfeed.tech/tags/inference.md>), [infra](<https://devfeed.tech/tags/infra.md>), [latency](<https://devfeed.tech/tags/latency.md>), [low-latency-inference](<https://devfeed.tech/tags/low-latency-inference.md>), [networking](<https://devfeed.tech/tags/networking.md>), [nvidia](<https://devfeed.tech/tags/nvidia.md>), [nvidia-blackwell](<https://devfeed.tech/tags/nvidia-blackwell.md>), [nvidia-dsx](<https://devfeed.tech/tags/nvidia-dsx.md>), [nvidia-vera](<https://devfeed.tech/tags/nvidia-vera.md>), [nvidia-vera-rubin](<https://devfeed.tech/tags/nvidia-vera-rubin.md>), [nvlink](<https://devfeed.tech/tags/nvlink.md>)

### AI overview

NVIDIA's AI Infra Summit coverage describes collaborations and platform updates focused on improving AI factory efficiency. The article highlights Vera Rubin systems, DSX MaxLPS, Dynamo inference software, NVLink and networking technologies, including claims of up to 1.4x more tokens per megawatt through factory-wide power optimization.

### Source excerpt

Ian Buck, vice president of hyperscale and high-performance computing at NVIDIA, Tuesday spoke on AI factory efficiency at the AI Infra Summit, the Santa Clara Convention Center event that has morphed into a Coachella of infrastructure tech. Before a packed audience -- with more than 8,000 attendees this year, up from 3,500 last year -- [...]

## 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.

## 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 [...]

## 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...