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PRODUCT FAMILY

GPUs & accelerators

Browse gpus & accelerators by manufacturer and exact identifier. This directory separates technical identity from commercial stock. Filter the evidence depth, compare recorded fields and carry a shortlist into your quotation draft.

8-GPU compute node with NVLink cabling
8-GPU compute node with NVLink cabling

Choose the accelerator edition before choosing the server

  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.

Choose a manufacturer

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

Facility & handling reference

Technical shortlist

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 →
AMDmanufacturer model
Instinct MI300X

AMD Instinct MI300X — GPUs & accelerators

Family
Instinct
Series
Instinct MI300 Series
Form Factor
Servers

OEM catalog fields reviewed · remaining checks open

View details →
AMDmanufacturer model
Instinct MI325X

AMD Instinct MI325X — GPUs & accelerators

Family
Instinct
Series
Instinct MI300 Series
Form Factor
Servers

OEM catalog fields reviewed · remaining checks open

View details →
Dellcatalog label
Dell QUADRO RTX 5000-DELL — DELL Nvidia Quadro Rtx 5000 Turing GPU 16GB 3072 Cuda Cores Memory Interface 256 Bit GDDR6 Memory Bandwidth 448gb/S PCI-E 3.0 X16 ( 4 ) Four Displayports ( 1 ) One USB Type C Connector Graphics Processing Unit Vi

Dell Dell QUADRO RTX 5000-DELL — DELL Nvidia Quadro Rtx 5000 Turing GPU 16GB 3072 Cuda Cores Memory Interface 256 Bit GDDR6 Memory Bandwidth 448gb/S PCI-E 3.0 X16 ( 4 ) Four Displayports ( 1 ) One USB Type C Connector Graphics Processing Unit Vi — GPUs & accelerators

Title-derived · capacity / module size
16GB
Title-derived · storage/interface
PCI-E 3.0
Title-derived · clock / cores / power
265W, 230W

Title-derived fields · unverified

View details →
NVIDIApart number
900-5G180-2500-000

NVIDIA 900-5G180-2500-000 — GPUs & accelerators

Title-derived · capacity / module size
16GB
Title-derived · storage/interface
PCI-E 3.0
Title-derived · gpu/accelerator
NVIDIA, Quadro, Rtx

Title-derived fields · unverified

View details →
AMDmanufacturer model
Instinct MI100

AMD Instinct MI100 — GPUs & accelerators

Family
Instinct
Series
Instinct MI100 Series
Form Factor
Servers

OEM catalog fields reviewed · remaining checks open

View details →
AMDmanufacturer model
Instinct MI50 (16GB)

AMD Instinct MI50 (16GB) — GPUs & accelerators

Family
Instinct
Series
Instinct MI Series
Form Factor
Servers

OEM catalog fields reviewed · remaining checks open

View details →
AMDmanufacturer model
Instinct MI50 (32GB)

AMD Instinct MI50 (32GB) — GPUs & accelerators

Family
Instinct
Series
Instinct MI Series
Form Factor
Servers

OEM catalog fields reviewed · remaining checks open

View details →
Evidence to request

Card or module label · Host and power connectors · Bracket or carrier · Cooling construction · Interconnect accessories. No illustration identifies the exact offered unit.

Frequently asked questions

What does the GPUs & accelerators family cover?

Browse gpus & accelerators by manufacturer and exact identifier. This directory separates technical identity from commercial stock. Filter the evidence depth, compare recorded fields and carry a shortlist into your quotation draft.

What should I check before buying gpus & accelerators?

Key review points: Keep the full accelerator name, memory capacity, form factor and edition.; Do not treat workstation, PCIe server, SXM and OAM products as interchangeable hardware.; Review exact server qualification, risers, auxiliary power, airflow and cooling together..

What evidence should I request with a quotation?

Card or module label · Host and power connectors · Bracket or carrier · Cooling construction · Interconnect accessories. No image identifies the exact offered unit.

01

GPU & AI infrastructure — the next decisions

GPU & AI infrastructure

GPU & AI infrastructure

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

All manufacturers

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

GPU & AI infrastructure — Gpu Node Interior facility reference
Gpu Node Interior Explore
GPU & AI infrastructure — 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

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.