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ENTERPRISE · AI FACTORIES

From one rack
to an
AI factory.

We spec, source and integrate datacenter-class AI compute, and deliver it as racks that boot, not boxes you have to assemble.

Talk to an engineer
NET · TOPOLOGY LIVE◐ DRAG TO ROTATE
Current-gensilicon, authorized channels
Rack-scaleintegration & fabric
Multi-dayburn-in as standard
On-siteracking, install, power-on
THE SILICON

Rack-scale systems we deliver

SPECS · PUBLIC NVIDIA DATA
RESERVE ALLOCATION

GB300 NVL72

72×GPUs

Blackwell Ultra + Grace, rack-scale

  • + 37 TB fast memory
  • + 130 TB/s NVLink fabric
REQUEST ALLOCATION
BUILD TO ORDER

DGX B200

1.44TB HBM3e

8× Blackwell, one system

  • + 72 PFLOPS FP8 training
  • + Node → multi-rack pod
REQUEST ALLOCATION
BUILD TO ORDER

HGX B300

2.3TB HBM3e

8-GPU Blackwell Ultra baseboard

  • + 5th-gen NVLink fabric
  • + Into your OEM chassis
REQUEST ALLOCATION
WHAT SHIPS

A rack, not a pile of boxes.

HGX-CLASS GPU RACK · SCHEMATIC
RACK ELEVATION42U
FABRICSPINE SWITCH400 GbE · non-blocking
FABRICLEAF · NVLINK5th-gen switch fabric
COMPUTEGPU NODE8× Blackwell · HGX
COMPUTEGPU NODE8× Blackwell · HGX
COMPUTEGPU NODE8× Blackwell · HGX
COMPUTEGPU NODE8× Blackwell · HGX
CONTROLHEAD NODECPU · NVMe · management
COOLINGDLC MANIFOLDdirect-to-chip liquid
POWERPDU ×23-phase 415V · N+1
SEALED · CABLED · TESTED

Compute, fabric, cooling and power land pre-integrated. We plumb the liquid loop, cable the fabric, image the nodes and burn it in, so what you get is a rack that powers on.

  • Compute4× HGX nodes, 32 Blackwell GPUs
  • FabricNVLink + InfiniBand NDR, non-blocking
  • CoolingDirect-to-chip liquid, factory-plumbed
  • Power3-phase 415V feeds, N+1 redundant PDUs
Configure a rack
FACILITY & FABRIC

Datacenter-class by default.

POWER · COOLING · NETWORK · SOFTWARE
POWER3-phase

415V feeds · N+1 PDUs · liquid-ready to ~132 kW/rack

COOLINGLiquid-first

Direct-to-chip DLC + rear-door, air-assist fallback

FABRICNon-blocking

NVLink · InfiniBand NDR · 400 GbE spine-leaf

SOFTWAREImaged

Drivers · Slurm / Kubernetes · multi-day burn-in

root@rack-01 · power-on
$ powered boot --rack ENT-04
> POST · BMC / BIOS ......... OK signed
> NVIDIA driver 550 ........ loaded
> 32x GPU .................. healthy
> NVLink fabric ............ up · 900 GB/s
> CUDA · NCCL .............. ready
> Slurm .................... 4 nodes online
> telemetry ................ streaming
✓ SYSTEM READY · srun --gpus 32 …
THE SOFTWARE

Boots into a working cluster.

Every rack ships a signed, reproducible image with drivers, CUDA, scheduler and telemetry already wired. There's no day-one setup: power on, the self-test passes, you allocate.

  • OSUbuntu LTS · hardened, CIS-benchmarked kernel
  • DRIVERSNVIDIA · DOCA · fabric manager
  • RUNTIMECUDA · cuDNN · NCCL · containerd
  • SCHEDULERSlurm · Kubernetes, multi-tenant ready
  • OBSERVABILITYPrometheus · Grafana · NVIDIA DCGM
Signed image Fleet-managed Reproducible
CONTROL PLANE

One console for the whole fleet.

PROVISION · MONITOR · METER

Every deployment ships wired into one console. Provision nodes, watch every GPU, meter usage and power. It runs on the stack you already trust: Slurm, Kubernetes, Prometheus, Grafana and DCGM, and it's yours to keep.

Zero-touch provisioningSigned order to live cluster, no ticket queues.
One schedulerTraining and inference on the same fabric, one API.
Single-tenantDedicated compute, network and storage. No neighbours.
Rack-level telemetryLive metrics per rack, node, GPU and job.
HOW WE BUILD

Racks that boot. Not boxes.

  1. 01PLANPower, cooling & rack density
  2. 02CONFIGURECompute matched to your models
  3. 03FABRICNVLink · InfiniBand · 400G
  4. 04IMAGEDrivers, scheduler, orchestration
  5. 05BURN-INMulti-day, documented, then ship
DEPLOYMENT SIZES

Start where you are

Desk

One engineer, serious models

  • DGX Spark / RTX PRO
  • Ships from stock
  • Self-serve checkout
Browse compute
MOST COMMON

Rack

A team running inference and fine-tuning

  • 4 to 8 GPU nodes
  • Single-rack fabric
  • Specced and burned-in
  • Quote on request
Request a quote

AI Factory

Production training at scale

  • NVL72 pods
  • Multi-rack fabric
  • On-site racking & install
  • Dedicated engineer
Talk to an engineer

Planning serious
compute?

Tell an engineer what you're training or serving, and you'll get a spec and a straight answer.

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