Reserved B300 capacity

Your next 256GPUs, reserved

Single-tenant bare metal built around 32 Supermicro HGX B300 nodes, with a deployment plan confirmed for your site and schedule.

Dark render of Pacific GPU infrastructure
256
NVIDIA B300 GPUs
645 kW
Operating load
32
HGX B300 nodes
Single tenant
Bare metal
400G
Spectrum-4 fabric
3.2 / 6.4
Tbps per node configs
983 TB
Raw NVMe per module
Fit

Fit your workload to the cluster

Inference

Reserved capacity for predictable, high-volume inference service on dedicated hardware.

Fine-tuning

Single-tenant fabric and bare-metal control for training and fine-tuning runs.

Neocloud

Whole-pod capacity for multi-year offtake by neoclouds and GPU marketplaces.

Proof

Pod 32 reference specification

Named components and configuration ranges. The written specification, not the render, is the authority on every value.

Compute
32 Supermicro HGX B300 nodes
GPUs
256 NVIDIA B300
Racks
4
Operating load
645 kW
System memory
128 TB
Storage
983 TB raw NVMe per module
Fabric
Rail-optimized 400G Ethernet
Fabric throughput
Configurable 3.2 or 6.4 Tbps per node
Cooling
Direct-to-chip liquid, redundant CDUs
Site water
No site water requirement
Tenancy
Single-tenant bare metal
Acceptance

Measured before it ships

Acceptance is evidence, not a brochure. Every module carries witnessed results from a defined test program.

24 stages

A factory, site, and integration test program covering the module from build to handoff.

Gates F-1 to F-7

Named evidence gates carried into acceptance, with witnessable outputs at each gate.

NCCL pass bars

Measured NCCL fabric-performance acceptance criteria on the deployed cluster fabric.

Deployment

Factory and site work run in parallel

Each module is factory-built and burned in off-site, arrives complete on one truck, and is craned onto a prepared pad. Commissioning is remote. A site-specific plan sets the target schedule - targeted to be operational within roughly three months of pre-payment, confirmed site by site.

Site scope
Prepared pad + power feed
Factory
Build and burn-in off-site
Arrival
Complete on one truck
Placement
Craned onto the prepared pad
Commissioning
Remote sequence
Scale
Pod by pod
Objections

Questions before you reserve

How fast?

The schedule is a target confirmed site by site, never a guarantee. Site preparation and factory build run in parallel.

Network?

Choose the 3.2 or 6.4 Tbps per node fabric configuration with our engineering team during the deployment plan.

Commercials?

Discussed privately on a qualified call. Pacific does not publish pricing.

Get the Pod 32 spec
Book

Qualify, then choose a time

Three quick questions - role, workload, timeline - then the calendar opens. No long forms before you see proof.

1 / 3

Your role

Capacity call

Answer the three questions and the calendar opens here. Prefer to skip ahead? Book directly on Cal.com.

FAQ

Before you book

Who owns and operates the hardware?

Pacific builds, deploys, and operates each module. You get single-tenant bare-metal access to the cluster. Operation is unstaffed on site, run through remote operations with contracted regional field service.

Which network configurations are available?

The fabric is rail-optimized 400G Ethernet with a configurable 3.2 or 6.4 Tbps per node. The configuration is selected with our engineering team during the deployment plan for your workload.

How fast can capacity be live?

Each module is targeted to be operational within roughly three months of pre-payment. That is a design target confirmed site by site, not a guarantee. Site work is limited to a prepared pad and power feed and runs in parallel with the factory build.

What evidence comes with a deployment?

Every module ships with witnessed acceptance evidence from a 24-stage factory, site, and integration test program, including measured NCCL fabric-performance pass bars at gates F-1 through F-7.

What does it cost?

Commercial terms are discussed privately on a qualified capacity call. Pacific does not publish pricing.

Put a B300 cluster on your roadmap

Book a capacity call