Supermicro
Supermicro delivers end-to-end AI infrastructure—from multi-GPU servers and petascale NVMe storage to liquid-cooled racks—built on its Data Center Building Block Solutions model for faster deployment, higher density, and predictable performance from edge to hyperscale data centers.
Overview
Teams select reference architectures—HGX B300 training clusters, GB300 NVL72 inference, or edge stacks—then configure GPU tiers, CPUs, NVMe EDSFF storage, and networking. Supermicro racks, integrates, and validates systems, delivering ready-to-deploy cabinets with management software, power and cooling profiles, and cabling optimized for rapid time-to-online.
What It Does
Ideal for AI platform teams, HPC administrators, and cloud service providers building GPU-intensive clusters; enterprise IT modernizing data centers for generative AI; and sector specialists in retail, telecom, finance, healthcare, and federal needing reliable on-prem or edge inference. It suits organizations prioritizing rapid time-to-deploy, predictable thermals, and scalable storage throughput for training datasets and vector retrieval workloads, with options that align to facility power and cooling constraints.
- Deploy validated HGX B300 training clusters and GB300 NVL72 inference at rack scale.
- Scale storage throughput with EDSFF NVMe arrays optimized for AI data pipelines.
- Increase rack density using Twin and SuperBlade architectures with liquid cooling.
- Simplify provisioning and monitoring through SuperCloud Composer and system management.
- Choose CPU platforms across AMD EPYC and Intel Xeon for workload fit.
Why It Matters
Who It’s For
Engage via Supermicro Ready-to-Deploy Gold Series servers or reference rack designs. Select GPU line (1U–10U), CPU platform, NVMe EDSFF tiers, and 100–400G networking. Supermicro’s rack integration service finalizes power, cooling, and cabling; management software images are preloaded. Documentation, quick-reference guides, and downloads support commissioning. Customers can align to validated designs for Kubernetes, OpenStack, or VMware vSAN, or adopt AI SuperCluster and AI Factory patterns for larger programs. Procurement is available through Supermicro partners or the eStore, with global support and services.
We design standardized building blocks so customers can assemble AI infrastructure at any scale with less risk and faster time-to-online.
Getting Started
Supermicro stands out through breadth of choice, rack-scale delivery, and practical engineering that optimizes thermal density and throughput. With validated GPU platforms, EDSFF storage, and liquid cooling, teams can right-size power envelopes and accelerate AI deployment without bespoke integration cycles, from edge inference to multi-rack training.
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Supermicro
Supermicro is a global server, storage, and networking leader focused on high-performance, energy-efficient platforms. Its Data Center Building Block Solutions enable rapid assembly of optimized systems for AI, cloud, edge, and enterprise workloads, spanning components to fully integrated racks.
Supermicro provides modular AI infrastructure spanning servers, storage, networking, and rack-scale integration. Built on its Data Center Building Block Solutions (DCBBS) approach, customers assemble training, inference, and data pipelines using pre-validated GPU systems, NVMe EDSFF storage, and high-speed fabrics. Current platforms include NVIDIA Blackwell architecture systems—HGX B300 training nodes and GB300 NVL72 for large-scale inference—plus options across AMD EPYC and Intel Xeon. Liquid Cooling (DLC-2) and dense Twin and Blade architectures increase performance per rack while reducing TCO. Supermicro’s system management software and SuperCloud Composer streamline provisioning, monitoring, and lifecycle operations, accelerating time-to-online from pilot to production.
www.supermicro.com/en/
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