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EXACT IDENTIFIERS · CONNECTED TOOLS

PNY / GPUs & accelerators

Compare the fields actually recorded, preserve complete part-number suffixes and carry your choices into a local RFQ.

8-GPU compute node with NVLink cabling
8-GPU compute node with NVLink cabling
brand: pnycategory: accelerators
PNYpart number
699-5G180-0500-601-PNY

PNY 699-5G180-0500-601-PNY — 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 →
PNYpart number
900-52060-1700-000-RET

PNY 900-52060-1700-000-RET — GPUs & accelerators

Title-derived · gpu/accelerator
Nvidia, Quadro

Title-derived fields · unverified

View details →
PNYpart number
900-5G180-1700-000-PNY

PNY 900-5G180-1700-000-PNY — 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 →
PNYcatalog label
PNY NVIDIA RTX A4000-PNY — Pny Nvidia Rtx A4000 GPU 16GB 6144 Cuda Cores Memory Interface 256 Bit GDDR6 Memory Bandwidth 448gb/S PCI-E 4.0 X16 ( 4 ) Four Displayports Dp Graphics Processing Unit Video Card

PNY PNY NVIDIA RTX A4000-PNY — Pny Nvidia Rtx A4000 GPU 16GB 6144 Cuda Cores Memory Interface 256 Bit GDDR6 Memory Bandwidth 448gb/S PCI-E 4.0 X16 ( 4 ) Four Displayports Dp Graphics Processing Unit Video Card — GPUs & accelerators

Title-derived · capacity / module size
16GB
Title-derived · storage/interface
PCI-E 4.0
Title-derived · gpu/accelerator
NVIDIA, RTX

Title-derived fields · unverified

View details →
PNYpart number
VCNRTXA4000

PNY VCNRTXA4000 — GPUs & accelerators

Title-derived · capacity / module size
16GB
Title-derived · storage/interface
PCI-E 4.0
Title-derived · gpu/accelerator
Nvidia, Rtx

Title-derived fields · unverified

View details →
PNYpart number
VCQK5200-T

PNY VCQK5200-T — GPUs & accelerators

Title-derived · capacity / module size
8GB
Title-derived · storage/interface
PCI-E 3.0
Title-derived · gpu/accelerator
Nvidia, Quadro

Title-derived fields · unverified

View details →
PNYpart number
VCQP4000

PNY VCQP4000 — GPUs & accelerators

Title-derived · capacity / module size
8GB
Title-derived · gpu/accelerator
Nvidia, Quadro

Title-derived fields · unverified

View details →
PNYpart number
VCQRTX5000

PNY VCQRTX5000 — 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 →
01

GPU & AI infrastructure — the next decisions

PNY / 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

PNY

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

PNY / 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.