Creative Compute
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HPE ProLiant Compute DL394 Gen12

Configurable systemAnnouncedManufacturer documented

A server with no GPUs in it. It uses NVIDIA's Vera processor and exists because agentic AI — systems that reason in loops and orchestrate other tools — is often bounded by CPU and memory speed rather than by accelerator throughput.

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Representative system image

Where does this sit?

  1. 01Local
  2. 02Workstation
  3. 03Departmental
  4. 04Enterprise
  5. 05Cluster
  6. 06Rack-scale

Enterprise. Four to eight enterprise accelerators in a rack chassis, sized for production load rather than experiments. Typically bought by an enterprise ai or platform team. Datacentre or a well-provisioned rack.

Fit

Is this the right thing for you?

Who it's for

  • Teams building agentic AI systems and reasoning loops
  • Organisations running orchestration alongside a GPU estate
  • Reinforcement-learning workloads with heavy CPU-side simulation

What it runs

  • Agentic AI reasoning loops
  • Reinforcement learning
  • CPU-bound inference orchestration

When it is the wrong answer

  • Model training — there are no accelerators in this machine
Where it goes
Datacentre rack
Complexity
high
Cooling
Awaiting verification
Specification

What the numbers mean

Every figure below is explained in plain English. Switch to the technical view for the bare specification.

System

Form factor

2U rack server

Processor

NVIDIA Vera CPU (Arm-based, high core count, low latency, fast memory)

MeansA general-purpose processor designed by NVIDIA rather than an accelerator.

Accelerators

None — CPU-optimised design

MattersDeliberate. The workload it targets does not benefit from GPUs.

Announcement

1 June 2026

MemoryUnverified

Awaiting verification

Storage baysUnverified

Awaiting verification

NetworkingUnverified

Awaiting verification

CoolingUnverified

Awaiting verification

Verification

Manufacturer documented — HPE press release, 1 June 2026 — CPU server with NVIDIA Vera CPU for agentic AI. Reviewed 2026-08-31.

Manufacturer source
Before you commit

Practical considerations

The things that catch people out after the hardware has already been ordered.

  • Announced June 2026. Availability and lead time need confirming before you plan around it.
  • This complements a GPU estate rather than replacing one. If you have no accelerators yet, this is not your first purchase.
Completeness

Nothing arrives working on its own

What else will I need?

  • Confirmation your orchestration software runs on Arm
  • GPU capacity elsewhere if you also need to run models
  • Rack space and power
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Goes with

What normally sits alongside it

Relationships documented by the manufacturer, or by us during a deployment.