Skip to content
Enterprise hardware · New & pre-owned supply
sales@aster-rackit.comEnglish / Global
Quote basket 0Configure system →
☰
GPUs & acceleratorsHPE
S0K89C

Request exact-unit photography.
No unverified model image substituted.

part number

S0K89C

HPE S0K89C — GPUs & accelerators

HPEGPUs & accelerators4 technical fields
Graphics memory
24GB
Title-derived · capacity / module size
24GB
Title-derived · gpu/accelerator
NVIDIA, L4
Title-derived · controller/bus
PCIe

Inherited technical record

Price and availability: Request quotation

Download editable RFQ checklist ↓

A technical record does not certify stock, condition, current orderability or a factory-approved BOM.

Identity & purchasing scope

This page consolidates the recorded identity, evidence status and sourcing notes for the S0K89C. Specifications below include graphics memory 24GB, title-derived · capacity / module size 24GB, title-derived · gpu/accelerator NVIDIA, L4 with per-field evidence markers. The sales team verifies condition and availability; this page remains the technical reference.

This record identifies S0K89C in the HPE gpus & accelerators catalog. Its classification is part number. Preserve the full identifier when comparing offers: suffixes, revisions and assembly contents are part of the purchasing question.

Prepare an ASTER RACKIT sourcing request for S0K89C. Record the exact part number, required quantity and destination system. Review the listed evidence and confirm the offered unit, accessories and compatibility before purchase. Use the technical record to prepare an inquiry rather than as evidence that an item is available, tested, licensed or covered by a particular warranty. Inherited fast-shipping and stock language is not carried into this catalog's commercial fields.

Inherited search aliases: S0K89C. These are lookup aids, not certified equivalents.

Recorded technical specifications

Each field states its evidence status. Inherited and title-derived values remain unverified; reviewed OEM facts do not certify an offered configuration.

FieldRecorded valueSource snapshot
Graphics memory24GBcustomer-library
unverified_inherited
Title-derived · capacity / module size24GBtitle-derived-v27-1
unverified_inherited
Title-derived · gpu/acceleratorNVIDIA, L4title-derived-v27-1
unverified_inherited
Title-derived · controller/busPCIetitle-derived-v27-1
unverified_inherited

Configuration & purchase checks

  1. Keep the full accelerator name, memory capacity, form factor and edition.
  2. Do not treat workstation, PCIe server, SXM and OAM products as interchangeable hardware.
  3. Review exact server qualification, risers, auxiliary power, airflow and cooling together.
  4. List interconnect bridges, cables and server enablement kits as separate bill-of-materials requirements.
  5. Request labels, connectors and included accessories. Marketing performance figures are not a benchmark of the offered machine.

Adding an item prepares a local RFQ line. It does not create a price offer, reserve inventory or submit an order.

Read the category procurement guide →

Typical deployment contexts

Common project contexts where buyers request this gpus & accelerators. Contexts inform the inquiry — they are not compatibility claims.

01

AI training cluster build-out

02

Inference infrastructure expansion

03

GPU virtualization rollout

Frequently asked questions

What is the S0K89C?

The S0K89C is a recorded HPE gpus & accelerators identity (part number). Recorded highlights: Graphics memory 24GB; Title-derived · capacity / module size 24GB.

Are the specifications on this page verified?

The record carries 4 technical fields, each with an evidence label. Reviewed fields come from OEM catalog evidence; unverified fields stay visibly marked and should be confirmed before purchase.

How do I get a price for the S0K89C?

Add the record to the quote basket and send the inquiry — ASTER RACKIT confirms price, condition and availability in a written quotation.

Does an image on this page show the actual offered unit?

No. Images are reference material only. Request exact-unit photography with serial numbers before committing to an order.

Platform relationships & upgrade review

The supplied dataset associates this identifier with these platform records. These are inherited review candidates, not newly certified compatibility.

Related records below are category neighbors. They are not approved replacement parts.

Actual-unit evidence to request

01

Card or module label

02

Host and power connectors

03

Bracket or carrier

04

Cooling construction

05

Interconnect accessories

No server boot-screen image is attached to this record. Request product photographs and any diagnostic or entitlement record as separate evidence.

Facility reference scenes from our warehouse and test benches. They show the environment and handling standard for this equipment family — they are not photographs of the exact offered unit.

At acceptance, compare the delivered unit, labels and accessories with the approved list. Retain source revisions and receiving records for later maintenance.

Source trace & documentation

Remaining review: exact manufacturer model spelling · product family · category · chassis · height · drive bays · ports · CPU · GPU · memory · storage · power · network · management · lifecycle · compatibility · current availability

Source fileSource recordEvidence status
lib/customer-library.jsonpn-4d66ea11086d15beb962Inherited snapshot; not re-certified
  • OEM product-index entry ↗ Source-listed identity; technical fields require review · oem_sitemap · 2026-09-11T23:20:57.000Z · medium
How evidence quality is classified →

Frequently asked questions

Is the item currently available?

This is not a live stock feed. Confirm full identifier, condition, quantity, price and delivery scope in a written quotation.

Does this record certify compatibility?

No. Inherited fields and platform associations require review against the exact destination system and current manufacturer documentation.

What should I send in an RFQ?

Include the full identifier, quantity, destination, target platform, condition, accessories and evidence needed for acceptance.

Is a configuration number another server model?

No. Models, ordering configurations, options and reference labels are distinct record types. Ask which actual purchasing unit will be supplied.

Related category records

Browse category →
HPEpart number
R8T26C

HPE R8T26C — GPUs & accelerators

Graphics memory
64GB
Title-derived · capacity / module size
64GB
Title-derived · gpu/accelerator
NVIDIA

Inherited technical record

View details →
HPEpart number
R9H23C

HPE R9H23C — GPUs & accelerators

Graphics memory
16GB
Title-derived · capacity / module size
16GB
Title-derived · gpu/accelerator
NVIDIA

Inherited technical record

View details →
HPEpart number
R9S41C

HPE R9S41C — GPUs & accelerators

Graphics memory
80GB
Title-derived · capacity / module size
80GB
Title-derived · gpu/accelerator
NVIDIA, H100

Inherited technical record

View details →
HPEpart number
R9W59C

HPE R9W59C — GPUs & accelerators

Graphics memory
24GB
Title-derived · capacity / module size
24GB
Title-derived · gpu/accelerator
NVIDIA

Inherited technical record

View details →
HPEpart number
S0K90C

HPE S0K90C — GPUs & accelerators

Graphics memory
48GB
Title-derived · capacity / module size
48GB
Title-derived · gpu/accelerator
NVIDIA

Inherited technical record

View details →
HPEpart number
S2D86C

HPE S2D86C — GPUs & accelerators

Graphics memory
94GB
Title-derived · capacity / module size
94GB
Title-derived · gpu/accelerator
NVIDIA, H100

Inherited technical record

View details →
01

GPU & AI infrastructure — the next decisions

HPE / GPU & AI infrastructure

S0K89C

Distinguish PCIe cards from integrated accelerator baseboards.

This guide adds the decisions, documents and next steps that support this page.

GPU platforms
GPU & AI infrastructure illustrative environment
02

Choose the right route

Training

Start with model size, precision, parallelism and dataset movement.

GPU platforms

Inference

Define request concurrency, latency target and model-memory footprint.

AI systems

GPU expansion

Check slot width, risers, auxiliary power and supported cooling.

GPU checklist
03

Details that change the configuration

Accelerator architecture

Distinguish PCIe cards from integrated accelerator baseboards.

Fabric & data path

Plan host networking, GPU interconnect and storage access separately.

Rack power & cooling

Request platform power requirements and facility cooling review.

04

From requirement to handover

  1. 01

    Define AI workload

  2. 02

    Size accelerator memory

  3. 03

    Review fabric & cooling

  4. 04

    Confirm supported BOM

A planning sequence, not a record of completed work.

05

Explore the relevant catalog

HPE

Recorded catalog identities

Counts show records in the site catalog. They do not represent stock, available quantities or verified compatibility.

Snapshot: 2026-09-15

06

Compare the buying requirements

GPU & AI infrastructure comparison brief
DecisionRecord in your briefEvidence to retain
Accelerator architectureDistinguish PCIe cards from integrated accelerator baseboards.Complete identifier and source revision
Fabric & data pathPlan host networking, GPU interconnect and storage access separately.Platform document or written clarification
Rack power & coolingRequest platform power requirements and facility cooling review.Offered-unit details and agreed scope
Open the comparison workspace
07

Build your readiness checklist

Your preparation progress

Tick items as you prepare them. This is your personal checklist, not a hardware validation.

0 / 4 prepared0

Saved in this browser when local storage is available.

08

A closer look at the hardware

S0K89C — Gpu Node Interior facility reference
Gpu Node Interior Explore
S0K89C — Nvlink Rack Scale facility reference
Nvlink Rack Scale Explore
1 / 2

Reference-based generated scenes; actual-unit photos are available only through an explicit unit-specific request. Related models are separate catalog records, not substitutes for the item on this page.

09

Keep the supporting material together

GPU checklist

Retain the supporting reference with your project brief.

Open resource
10

Turn the brief into the next step

HPE / GPU & AI infrastructure

Keep the requirement specific.

Workload and precision defined · Accelerator model and quantity named · Platform support documents requested · Power and cooling review assigned.