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NVIDIA-Certified · 10U · air cooled · available to order

Compal SGX30-2 HGX B300 server

An NVIDIA-Certified, air-cooled 10U server with eight Blackwell Ultra GPUs, 3 TB of DDR5 and an 800G port per GPU: our standard building block for an HGX B300 AI factory.

Order the SGX30-2Plan an AI factory with us
  1. AI factories
  2. Compal SGX30-2 HGX B300 server

The SGX30-2 is Compal's HGX B300 system, listed by NVIDIA as an NVIDIA-Certified System for the HGX B300 8-GPU platform. We offer it in one complete, balanced configuration so you are not left choosing memory, storage and networking part by part: eight Blackwell Ultra GPUs, two Intel Xeon 6 processors, 3 TB of DDR5-6400 and a full set of NVMe drives.

What makes it a good AI factory node is the networking. Eight ConnectX-8 SuperNICs are built onto the board, each with its own 800G OSFP port at the front, so every GPU gets a dedicated 800 Gb/s path into an InfiniBand XDR or Spectrum-X fabric with no extra cards to fit. A BlueField-3 B3240 DPU looks after storage and service traffic separately.

It is air cooled. If your hall can supply high-density power and airflow but has no liquid-cooling loop, the SGX30-2 brings Blackwell Ultra in without a facilities project. Four of them make the 32-GPU rack described on our HGX B300 page.

适用对象

  • Teams building an HGX B300 AI factory in an air-cooled hall
  • Organisations that want a certified, fully specified node rather than a parts list
  • Existing clusters adding Blackwell Ultra nodes to an 800G fabric
8
Blackwell Ultra GPUs (2.1 TB HBM3e)
3 TB
DDR5-6400 system memory
8 × 800G
OSFP ports via onboard ConnectX-8
10U
Air cooled

What it does for you

One 800G port per GPU, built in

Onboard ConnectX-8 SuperNICs remove eight add-in cards and their cabling, and line up neatly with a rail-optimised fabric.

Balanced memory

32 × 96 GB DDR5-6400 fills every channel on both CPUs, giving 3 TB of system memory, more than the 2.1 TB of GPU memory, for data loading and offload.

Fast local storage

Eight 3.84 TB PCIe Gen5 E1.S NVMe drives (about 30 TB) for datasets, caches and checkpoints, plus mirrored M.2 boot drives.

Certified and covered

NVIDIA-Certified for HGX B300, 6+6 redundant 3200 W Titanium power supplies and a 3-year return-to-base warranty arranged through us.

Reference configuration

The configuration we supply. Alternatives (CPU model, memory or storage) can be quoted.

ChassisCompal SGX30-2, 10U, air cooled, 447 × 800 × 442 mm
GPUNVIDIA HGX B300 NVL8 baseboard with 8 Blackwell Ultra GPUs, 288 GB HBM3e each
AI 性能FP4 144 | 108 PFLOPS; FP8 72 PFLOPS (sparse), NVIDIA HGX B300 figures
CPU2 × Intel Xeon 6 6767P, 6776P or 6768P
内存32 × 96 GB DDR5-6400 ECC RDIMM (3 TB)
Boot2 × 960 GB M.2 NVMe
Data8 × 3.84 TB NVMe E1.S, PCIe Gen5
GPU fabric8 × 800G OSFP via onboard ConnectX-8 (InfiniBand XDR 800G or 2 × 400GbE per NIC)
DPUNVIDIA BlueField-3 B3240
Expansion2 × FHFL PCIe Gen5 x16
功耗3200 W 6+6 redundant, 80 PLUS Titanium
Warranty3-year return-to-base

Figures are NVIDIA's published specifications for the platform. Where NVIDIA quotes two Tensor Core figures, the first assumes sparsity and the second is dense. The exact build (CPUs, memory, storage, cooling, networking) is agreed with you and confirmed on a written quote.

Facility check before anything is ordered

What one SGX30-2 needs from your site.

功耗In the region of 14 kW per 8-GPU Blackwell Ultra system; twelve 3200 W supplies on redundant feeds
冷却High-density air with hot-aisle containment
Rack space10U per server; 800 mm chassis depth, so a deep rack
网络Eight 800G OSFP links per server to the GPU fabric, plus BlueField-3 and management connections

Choose it when

  • You want HGX B300 in an air-cooled hall
  • You want a certified, fully specified node that matches our 32-GPU rack design

Look at something else when

  • You have liquid cooling and want maximum density: a liquid-cooled HGX B300 node or GB300 NVL72
  • You need FP64 simulation: an HGX B200 system

How we deliver it

One accountable UK team from sizing to day-two operations

Allocation and export check

We confirm allocation, lead time and any export-control requirements before a firm quote.

Burn-in

GPU, memory, NVLink and network stress tests before shipping, with results supplied.

Install and fabric bring-up

Racking, cabling to your fabric, OS, drivers and NVIDIA software, and acceptance tests.

Warranty and support

Return-to-base warranty handled through us, with UK first-line support.

Supply, lead times and export controls

NVIDIA data-centre GPUs are allocated by NVIDIA and the server makers, and lead times are measured in months rather than weeks. Complete, tested systems usually get allocation sooner than loose parts, so we quote these platforms as built systems. Shipments outside the UK, and many advanced GPUs within it, need an end-user and end-use check under UK and US export rules before we can confirm supply.

Trade 会员

Trade members get our engineers' time on sourcing and design questions, early stock and waitlist priority, and free technical support on every order.

了解 Trade 会员

常见问题

Is the SGX30-2 in stock?

No. It is available to order only. Lead time depends on HGX B300 allocation and is confirmed on a written quote.

Can we change the CPUs, memory or drives?

Yes. The listed build is our standard configuration; alternative CPUs, memory sizes or storage can be quoted.

What does return-to-base mean?

A faulty unit or part is returned for repair or replacement under warranty. If you need on-site cover or spares held locally, ask us to quote it.

Related reading on our site

HGX B300 32-GPU rackAI factory networking

Thinking about an AI factory?

Tell us what you want it to produce, how many people will use it and where it would live. An engineer will come back with a sized recommendation and an honest view on whether owning makes sense for you.

Order the SGX30-2Plan an AI factory with us

Other AI factory solutions

All AI factory solutions

HGX B300 32-GPU AI factory rack

Blackwell Ultra · 4 nodes · 32 GPUs

Four 8-GPU Blackwell Ultra servers, an 800 Gb/s fabric and fast storage in one tested rack: the most practical way to put serious reasoning and training capacity into a standard data hall.

View solution

HGX B200 AI and HPC cluster

Blackwell · 8 GPUs per node · full FP64

8-GPU Blackwell servers that are equally at home training models and running double-precision science, built into clusters of one to 32 nodes.

View solution

GB300 NVL72 rack-scale system

Grace Blackwell Ultra · 72 GPUs · one NVLink domain

72 Blackwell Ultra GPUs and 36 Grace CPUs joined into a single liquid-cooled NVLink domain: one rack that behaves like one enormous GPU.

View solution

GB200 NVL72 rack-scale system

Grace Blackwell · 72 GPUs · liquid cooled

The first rack-scale Grace Blackwell system: 72 GPUs in one NVLink domain for trillion-parameter models, with strong double precision for science.

View solution

NVIDIA DGX SuperPOD

DGX B300 or DGX GB300 · scalable units · Mission Control

NVIDIA's validated, turnkey AI supercomputer, built from DGX B300 or DGX GB300 systems in standard scalable units and run with Mission Control.

View solution

RTX PRO 6000 enterprise AI factory

Blackwell · air cooled · 8 GPUs per server

Air-cooled servers with eight RTX PRO 6000 Blackwell Server Edition GPUs each: the most accessible AI factory for enterprise agents, visual computing and physical AI.

View solution

H200 NVL inference servers

Hopper · PCIe · 141 GB HBM3e

PCIe Hopper GPUs with 141 GB of HBM3e each, bridged in groups of two or four: high-memory inference that drops into existing air-cooled racks.

View solution

Vera Rubin NVL72: planning the next generation

Rubin · HBM4 · NVLink 6

72 Rubin GPUs with HBM4 and 36 Vera CPUs in one liquid-cooled rack. If you are building capacity for 2027 and beyond, the facility decisions start now.

View solution

AI factory networking

800 Gb/s per GPU today · 1.6 Tb/s next

Quantum InfiniBand or Spectrum-X Ethernet, SuperNICs, DPUs and cabling: the fabric that decides whether your GPUs work as one machine.

View solution