Overview
The NVIDIA RTX PRO™ 4500 Blackwell Server Edition GPU is a multi-workload, energy-efficient accelerator designed to deliver breakthrough performance in a compact single-slot form factor.
Based on the revolutionary NVIDIA Blackwell architecture, the RTX PRO 4500 Blackwell offers flexible capabilities for AI inference, data processing, AI video, video streaming, and high-end visual computing across data center, edge and cloud deployments.
Key specifications
- NVIDIA Blackwell Architecture
- 32 GB GDDR7 with ECC
- Memory Bandwidth: 800 GB/s
- PCI Express 5.0 x16
- Max Power Consumption: 165 W
- 3-Year Limited Warranty
Compact performance for enterprise workloads
The RTX PRO 4500 Blackwell Server Edition brings the capabilities of the Blackwell architecture to mainstream enterprise data center and edge platforms. With fifth-generation tensor cores, fourth-generation RT cores and 32 GB of high-speed GDDR7 memory, it delivers breakthrough performance and efficiency in an especially compact design.
Video and streaming acceleration
Ninth-Generation NVENC Engine
NVIDIA RTX PRO 4500 Blackwell features 3 ninth-generation NVIDIA encoders, enabling nearly 2x the streaming capacity of the previous generation. They support 4:2:2 encoding for H.264 and HEVC. The Blackwell architecture also improves encoding efficiency with roughly 15% better H.265 quality and 10% better AV1 quality.
It also introduces accelerated MV-HEVC encoding for multi-view applications and a new Ultra High Quality AV1 encode mode, boosting AV1 quality by an additional 10%.
Sixth-Generation NVDEC Engine
Blackwell enhances hardware decoding capabilities with support for 4:2:2 color format decoding for H.264 and HEVC as well as 3 NVDEC engines on RTX PRO 4500. Added hardware-accelerated decoding for Motion JPEG improves performance in applications such as surveillance systems and professional video equipment.
AI and data center features
Multi-Instance GPU (MIG)
MIG allows partitioning into fully isolated GPU instances, each with its own high-bandwidth memory, cache and compute cores. The RTX PRO 4500 Blackwell can support up to 2 MIG instances with 16 GB of memory each. This allows professionals to run multiple smaller workloads concurrently with guaranteed quality of service.
PCIe Gen 5
Support for PCIe Gen 5 doubles PCIe Gen 4 bandwidth to up to 64 GB/s at x16. This enables faster data transfer for AI, data science and 3D modeling from large datasets, and improves CPU-GPU communication.
2nd-Generation Transformer Engine
Blackwell Tensor Cores add new precisions including modern micro-scaling formats. With advanced dynamic range management and micro-tensor scaling, the architecture optimizes performance and enables FP4 AI.
Graphics, ray tracing and memory
NVIDIA Blackwell CUDA Cores
Blackwell CUDA cores deliver up to 50 TFLOPS of FP32 performance, accelerating professional graphics workflows as well as simulation and compute tasks.
Fifth-Generation Tensor Cores
The fifth generation of Tensor Cores brings a major leap in performance and supports FP4, TF32, BF16, FP16, FP8, INT8 and FP6.
Fourth-generation RT Cores
The fourth generation of RT Cores delivers more than 2x the performance of the previous generation, accelerating rendering, product design and virtual prototyping workloads.
Enhanced memory subsystem
With 32 GB of GDDR7 and 800 GB/s bandwidth, the card offers more than 50% additional memory capacity and about 2.5x the memory bandwidth of an NVIDIA L4. This benefits data processing, AI inference, content creation, CAD and compute-intensive video tasks.
Technical overview
| Product | NVIDIA RTX PRO 4500 Blackwell Server Edition |
|---|---|
| Architecture | NVIDIA Blackwell |
| Memory | 32 GB GDDR7 with ECC |
| Memory bandwidth | 800 GB/s |
| Interface | PCI Express 5.0 x16 |
| Power consumption | max. 165 W |
| Form factor | Single-slot Server Edition |
| Warranty | 3-Year Limited Warranty |
What systems is the RTX PRO 4500 Blackwell Server Edition ideal for?
This GPU is especially attractive for compact servers, edge systems, video streaming infrastructure, AI inference deployments and enterprise visual workloads that require strong efficiency per slot.


