PNY NVIDIA RTX 6000 Ada Graphics Card 48GB GDDR6 with ECC 18176 CUDA Cores PCI Express 4.0 x16 300W - VCNRTX6000ADA-PB
Accelerators

PNY NVIDIA RTX 6000 Ada Graphics Card 48GB GDDR6 with ECC 18176 CUDA Cores PCI Express 4.0 x16 300W - VCNRTX6000ADA-PB

Central Computer

Overview

PNY NVIDIA RTX 6000 Ada Graphics Card 48GB GDDR6 with ECC 18176 CUDA Cores PCI Express 4.0 x16 300W - VCNRTX6000ADA-PB is an AI accelerator card sold by Central Computer, built around RTX 6000 with 48GB of GPU memory.

Key Features

  • GPU: RTX 6000
  • 48GB of GPU memory
  • 48GB system memory
  • PCI Express add-in card

Ideal For

buyers adding professional GPU capacity to a system they already own, and anyone pricing the same silicon across vendors

Product

NVIDIA RTX™ 6000 Ada Generation

Architecture

NVIDIA Ada Lovelace Architecture

Foundry

TSMC

Process Size

4 nm NVIDIA Custom Process

Transistors

76.3 billion

Die Size

608.4 mm2

CUDA Parallel Processing Cores

18,176

NVIDIA Tensor Cores

568

NVIDIA RT Cores

142

Single-Precision Performance

91.1 TFLOPS

RT Core Performance

210.6 TFLOPS

Tensor Performance

1457.0 TFLOPS

GPU Memory

48 GB GDDR6 with ECC

Memory Interface

384-bit

Memory Bandwidth

960 GB/s

Max Power Consumption

300W

Graphics Bus

PCI Express 4.0 x16

Display Connectors

DP 1.4a (4)

Form Factor

4.4" H x 10.5" L Dual Slot

Product Weight

1.180 kg

Thermal Solution

Blower Active Fan

vGPU Software Support

NVIDIA vPC/vApps, NVIDIA RTX Virtual Workstation (vWS)

vGPU Profiles Supported

1 GB, 2 GB, 3 GB, 4 GB, 6 GB, 8 GB, 12 GB, 16 GB, 24 GB, 48 GB

NVIDIA® 3D Vision® and 3D Vision Pro

Support via 3-pin Mini DIN

Frame Lock

Compatible (with Quadro Sync II)

NVLink

Not Supported

NVLink Interconnect

Not Supported

Power Connector

1x PCIe CEM5 16-pin

NVENC | NVDEC

3x | 3x (+AV1 Encode & Decode)

SKU

VGAPNY6000AR

Brand

PNY

$7,499.99

Prices may vary. Verify on vendor site.

Quick Specs

Product
NVIDIA RTX™ 6000 Ada Generation
Architecture
NVIDIA Ada Lovelace Architecture
Foundry
TSMC
Process Size
4 nm NVIDIA Custom Process
Transistors
76.3 billion
Die Size
608.4 mm2

Tags

llm-inferencemodel-trainingsmall-modelmedium-model