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GPUs & acceleratorsCisco
Cisco NVIDIA A10-CISCO — Cisco Nvidia A10 Tensor CORE GPU Accelerator 24GB GDDR6 Memory Bandwidth 600gb/S PCI-E 4.0 X16 64gb/S General Purpose Graphics Processing Unit Gpgpu - Ampere Architecture Single Slot

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catalog label

Cisco NVIDIA A10-CISCO — Cisco Nvidia A10 Tensor CORE GPU Accelerator 24GB GDDR6 Memory Bandwidth 600gb/S PCI-E 4.0 X16 64gb/S General Purpose Graphics Processing Unit Gpgpu - Ampere Architecture Single Slot

Cisco Cisco NVIDIA A10-CISCO — Cisco Nvidia A10 Tensor CORE GPU Accelerator 24GB GDDR6 Memory Bandwidth 600gb/S PCI-E 4.0 X16 64gb/S General Purpose Graphics Processing Unit Gpgpu - Ampere Architecture Single Slot — GPUs & accelerators

CiscoGPUs & accelerators3 technical fields
Title-derived · capacity / module size
24GB
Title-derived · storage/interface
PCI-E 4.0
Title-derived · gpu/accelerator
NVIDIA

Title-derived fields · unverified

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

Sourcing Cisco gpus & accelerators equipment? The Cisco NVIDIA A10-CISCO — Cisco Nvidia A10 Tensor CORE GPU Accelerator 24GB GDDR6 Memory Bandwidth 600gb/S PCI-E 4.0 X16 64gb/S General Purpose Graphics Processing Unit Gpgpu - Ampere Architecture Single Slot record anchors the specification discussion. The record lists 3 fields: title-derived · capacity / module size 24GB, title-derived · storage/interface PCI-E 4.0, title-derived · gpu/accelerator NVIDIA; each carries its evidence status. Request a written quotation to lock in price, stock and condition for the Cisco NVIDIA A10-CISCO — Cisco Nvidia A10 Tensor CORE GPU Accelerator 24GB GDDR6 Memory Bandwidth 600gb/S PCI-E 4.0 X16 64gb/S General Purpose Graphics Processing Unit Gpgpu - Ampere Architecture Single Slot.

This record identifies Cisco NVIDIA A10-CISCO — Cisco Nvidia A10 Tensor CORE GPU Accelerator 24GB GDDR6 Memory Bandwidth 600gb/S PCI-E 4.0 X16 64gb/S General Purpose Graphics Processing Unit Gpgpu - Ampere Architecture Single Slot in the Cisco gpus & accelerators catalog. Its classification is catalog label. Preserve the full identifier when comparing offers: suffixes, revisions and assembly contents are part of the purchasing question.

Prepare an ASTER RACKIT enquiry for Cisco Cisco NVIDIA A10-CISCO — Cisco Nvidia A10 Tensor CORE GPU Accelerator 24GB GDDR6 Memory Bandwidth 600gb/S PCI-E 4.0 X16 64gb/S General Purpose Graphics Processing Unit Gpgpu - Ampere Architecture Single Slot. Preserve the complete part number and review the product type, interface, target system and supplied assembly. Listed fields and actual-unit configuration require review. 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.

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
Title-derived · capacity / module size24GBtitle-derived-v27-1
unverified_inherited
Title-derived · storage/interfacePCI-E 4.0title-derived-v27-1
unverified_inherited
Title-derived · gpu/acceleratorNVIDIAtitle-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 Cisco NVIDIA A10-CISCO — Cisco Nvidia A10 Tensor CORE GPU Accelerator 24GB GDDR6 Memory Bandwidth 600gb/S PCI-E 4.0 X16 64gb/S General Purpose Graphics Processing Unit Gpgpu - Ampere Architecture Single Slot?

The Cisco NVIDIA A10-CISCO — Cisco Nvidia A10 Tensor CORE GPU Accelerator 24GB GDDR6 Memory Bandwidth 600gb/S PCI-E 4.0 X16 64gb/S General Purpose Graphics Processing Unit Gpgpu - Ampere Architecture Single Slot is a recorded Cisco gpus & accelerators identity (catalog label). Recorded highlights: Title-derived · capacity / module size 24GB; Title-derived · storage/interface PCI-E 4.0.

Are the specifications on this page verified?

The record carries 3 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 Cisco NVIDIA A10-CISCO — Cisco Nvidia A10 Tensor CORE GPU Accelerator 24GB GDDR6 Memory Bandwidth 600gb/S PCI-E 4.0 X16 64gb/S General Purpose Graphics Processing Unit Gpgpu - Ampere Architecture Single Slot?

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

No explicit target-platform relationship is provided for this record. Brand, socket, capacity and visual resemblance alone must not be used to invent a compatibility claim.

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

Source fileSource recordEvidence status
lib/customer-reference-catalog.jsonitc-145222Inherited snapshot; not re-certified
lib/customer-reference-catalog.jsonitc-145222-factory-newInherited snapshot; not re-certified

A product-specific OEM URL was not included in the source mapping. Obtain the current document and revision before order approval.

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 →
Ciscopart number
699-21010-0210-700-CISCO

Cisco 699-21010-0210-700-CISCO — GPUs & accelerators

Title-derived · capacity / module size
94GB
Title-derived · storage/interface
PCI-E 5.0
Title-derived · clock / cores / power
400W

Title-derived fields · unverified

View details →
AMDmanufacturer model
Instinct MI350P

AMD Instinct MI350P — GPUs & accelerators

Family
Instinct
Series
Instinct MI350 Series
Form Factor
Servers

OEM catalog fields reviewed · remaining checks open

View details →
AMDmanufacturer model
Instinct MI350X

AMD Instinct MI350X — GPUs & accelerators

Family
Instinct
Series
Instinct MI350 Series
Form Factor
Servers

OEM catalog fields reviewed · remaining checks open

View details →
AMDmanufacturer model
Instinct MI455X

AMD Instinct MI455X — GPUs & accelerators

Family
Instinct
Series
Instinct MI400 Series
Launch Date
7/23/2026

OEM catalog fields reviewed · remaining checks open

View details →
AMDmanufacturer model
Instinct MI300A

AMD Instinct MI300A — GPUs & accelerators

Family
Instinct
Series
Instinct MI300 Series
Form Factor
Servers

OEM catalog fields reviewed · remaining checks open

View details →
AMDmanufacturer model
Instinct MI355X

AMD Instinct MI355X — GPUs & accelerators

Family
Instinct
Series
Instinct MI350 Series
Form Factor
Servers

OEM catalog fields reviewed · remaining checks open

View details →
01

GPU & AI infrastructure — the next decisions

Cisco / GPU & AI infrastructure

Cisco NVIDIA A10-CISCO — Cisco Nvidia A10 Tensor CORE GPU Accelerator 24GB GDDR6 Memory Bandwidth 600gb/S PCI-E 4.0 X16 64gb/S General Purpose Graphics Processing Unit Gpgpu - Ampere Architecture Single Slot

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

Cisco

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

Cisco NVIDIA A10-CISCO — Cisco Nvidia A10 Tensor CORE GPU Accelerator 24GB GDDR6 Memory Bandwidth 600gb/S PCI-E 4.0 X16 64gb/S General Purpose Graphics Processing Unit Gpgpu - Ampere Architecture Single Slot — Gpu Node Interior facility reference
Gpu Node Interior Explore
Cisco NVIDIA A10-CISCO — Cisco Nvidia A10 Tensor CORE GPU Accelerator 24GB GDDR6 Memory Bandwidth 600gb/S PCI-E 4.0 X16 64gb/S General Purpose Graphics Processing Unit Gpgpu - Ampere Architecture Single Slot — 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

Cisco / 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.