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Powering Sovereign AI at Scale

Purpose-built AI Factories, powered by Supermicro systems and NVIDIA accelerated computing, allow operators to deploy secure, scalable, GPU-dense AI environments that support GenAI, RAG, LLM training, and real-time inference — while enabling new revenue opportunities such as Sovereign AI-as-a-Service.

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Powering Sovereign AI at Scale

Purpose-built AI Factories, powered by Supermicro systems and NVIDIA accelerated computing, allow operators to deploy secure, scalable, GPU-dense AI environments that support GenAI, RAG, LLM training, and real-time inference — while enabling new revenue opportunities such as Sovereign AI-as-a-Service.

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Object Storage in Enterprise AI

Supermicro’s portfolio includes several high-performance storage platforms specifically engineered for AI workloads on object storage, delivering the high throughput and low latency required for both inference and training.

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Thumbnail – Datasheet: Water Cooling Tower
Thumbnail – Datasheet: In-Rack Coolant Distribution Unit (CDU)
Thumbnail – Datasheet: In-Row Coolant Distribution Unit (CDU)
Thumbnail – Datasheet: Liquid-to-Air (L2A) Sidecar CDU
Thumbnail – Datasheet: Supermicro Dry Cooler
Solution Brief AMD Metrum
SMC IBM NVIDIA Storage Solution

Unlocking Petascale Storage I/O in Multi-Tenant AI Environments With NVIDIA Spectrum-X™ Ethernet Networking and IBM Storage Scale

In this solution brief, we will describe a high-performance storage cluster, purpose-built for the most demanding AI training and inference workloads running over an Ethernet network. The key components of the storage architecture include Supermicro’s Petascale server equipped with Micron E3.S NVMe, connected via NVIDIA Spectrum-X Ethernet.

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