NVIDIA RTX Pro 6000 Blackwell Max-Q Edition 96GB GDDR7 24064 CUDA Cores PCI Express 5.0 x16 300W - Bulk 900-5G153-2200-000-01Graphics Card - OEM
Accelerators

NVIDIA RTX Pro 6000 Blackwell Max-Q Edition 96GB GDDR7 24064 CUDA Cores PCI Express 5.0 x16 300W - Bulk 900-5G153-2200-000-01Graphics Card - OEM

Central Computer

Overview

NVIDIA RTX Pro 6000 Blackwell Max-Q Edition 96GB GDDR7 24064 CUDA Cores PCI Express 5.0 x16 300W - Bulk 900-5G153-2200-000-01Graphics Card - OEM is an AI accelerator card sold by Central Computer, built around RTX Pro 6000 Blackwell Max-Q with 96GB of GPU memory.

Key Features

  • GPU: RTX Pro 6000 Blackwell Max-Q
  • 96GB of GPU memory
  • 96GB 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

GPU Architecture

NVIDIA Blackwell

CUDA® Parallel Processing Cores

24,064

NVIDIA Tensor Cores

5th Generation

NVIDIA Ray Tracing Cores

4th Generation

AI TOPS

3511 AI TOPS1,2

Single-Precision Performance

110 TFLOPS1

RT Core Performance

333 TFLOPS1

GPU Memory

96 GB GDDR7 with ECC

Memory Interface

512-bit

Memory Bandwidth

1792 GB/s

System Interface

PCLe 5.0 x16

Display Connectors

4x DisplayPort 2.1b

Max Simultaneous Displays

4x 4096 x 2160 @ 120 Hz 4x 5120 x 2880 @ 60 Hz 2x 7680 x 4320 @ 60 Hz

Video Engines

4x NVENC (9th Gen) 4x NVDEC (6th Gen)

MIG Instance Types

Up to 4x 24 GB Up to 2x 48 GB Up to 1x 96 GB

Power Consumption

Total board power: 300 W

Power Connector

1x PCIe CEM5 16-pin

Thermal Solution

Active

Form Factor

4.4" (H) x 10.5" (L), dual slot, full height

Graphics APIs

DirectX 12, Shader Model 6.6, Open GL 4.63, Vulkan 1.33

Compute APIs

CUDA 12.8, OpenCL 3.0, DirectCompute

SKU

VGANVIR600MS

Brand

NVIDIA

$13,999.99

Prices may vary. Verify on vendor site.

Quick Specs

GPU Architecture
NVIDIA Blackwell
CUDA® Parallel Processing Cores
24,064
NVIDIA Tensor Cores
5th Generation
NVIDIA Ray Tracing Cores
4th Generation
AI TOPS
3511 AI TOPS1,2
Single-Precision Performance
110 TFLOPS1

Tags

llm-inferencemodel-trainingsmall-modelmedium-modellarge-modelhigh-vram