Overview
tower workstation. Built for AI development, deep learning research, and content creation.
Key Features
- Professional-grade components
- Professional-grade components
- Professional-grade components
Ideal For
developers and startups building and deploying AI/ML applications with demanding compute requirements.
Part Numbers
VCNRTXPRO4500B-PB, VCNRTXPRO4500B-BLK
Architecture
NVIDIA Blackwell Architecture
Foundry
TSMC
Process Size
4N NVIDIA Custom Process
Transistors
45.6 Billion
Die Size
378 mm2
CUDA Parallel Processing Cores
10,496
NVIDIA Tensor Cores
328
NVIDIA RT Cores
82
GPU Memory
32 GB GDDR7 with ECC
Memory Interface
256-bit
Memory Bandwidth
896 GB/s
Max Power Consumption
200W
Graphics Bus
PCI Express 5.0 x16
Display Connectors
DP 2.1 (4)
Form Factor
4.4" H x 10.5" L, FHFL Dual Slot
Product Weight
1.070 kg
Thermal Solution
Blower Active fan
NVIDIA® 3D Vision® and 3D Vision Pro
Support Via 3-pin Mini DIN
Frame Lock
Compatible (with NVIDIA RTX PRO Sync)
Power Connector
1x PCIe CEM5 16-pin
NVENC | NVDEC | JPEG
2x | 2x | 1x
$3,000.00
Prices may vary. Verify on vendor site.
Quick Specs
- Part Numbers
- VCNRTXPRO4500B-PB, VCNRTXPRO4500B-BLK
- Architecture
- NVIDIA Blackwell Architecture
- Foundry
- TSMC
- Process Size
- 4N NVIDIA Custom Process
- Transistors
- 45.6 Billion
- Die Size
- 378 mm2
Tags
llm-inferencedata-analytics