NVIDIA RTX PRO 4500 Blackwell Server Edition

NVIDIA RTX PRO 4500 Blackwell Server Edition
● HIGHLY RATED
Site Score
4.4 / 5.0
Buyer Guidance: An outstanding high-density AI inference accelerator for 1U/2U server environments, provided the deployment chassis delivers dedicated high-velocity forced airflow.
Mizex Audit Breakdown
Engineering & Core Performance (30%) 4.6 / 5.0
Build Quality & Physical Design (20%) 4.4 / 5.0
Thermal, Power & Acoustics (20%) 4.1 / 5.0
Reliability & Stability (20%) 4.7 / 5.0
Buyer Value (10%) 4.2 / 5.0
Score Rationale
The composite score of 4.4 is anchored by enterprise engineering and architecture (4.6), highlighted by the Blackwell GB203 die on TSMC 4nm, fifth-generation Tensor Cores with native FP4 precision, and hardware Multi-Instance GPU partitioning. Build quality (4.4) is underscored by a rigid single-slot, full-height full-length form factor engineered for high-density server racks. Thermal management (4.1) leverages a solid-state passive heatsink design that eliminates card-level acoustic noise, though it depends strictly on external high-velocity chassis airflow to sustain its 165W thermal design power. Real-world reliability (4.7) benefits from 32 GB of GDDR7 memory with error-correcting code (ECC) and the complete absence of onboard moving mechanical parts, while buyer value (4.2) reflects exceptional compute density and edge-deployment versatility, balanced against memory clock trade-offs compared to workstation counterparts.
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Overview

The NVIDIA RTX PRO 4500 Blackwell Server Edition represents a purpose-built execution of the Blackwell architecture engineered specifically for dense enterprise compute and edge deployments. Fabricated on TSMC’s 4nm process, the GB203 silicon incorporates 10,496 CUDA cores, 82 Streaming Multiprocessors, and 328 fifth-generation Tensor Cores delivering up to 1.6 PFLOPS of FP4 inference throughput with structured sparsity. The memory subsystem pairs 32 GB of GDDR7 on a 256-bit bus at 25 Gbps, yielding 800 GB/s of total bandwidth. Crucially for enterprise virtualization and multi-tenant hosting, the card integrates hardware-level Multi-Instance GPU (MIG) partitioning for up to two fully isolated 16 GB instances alongside full Error-Correcting Code (ECC) reliability.

Physically structured in a single-slot, Full-Height Full-Length (FHFL) enclosure measuring 4.4 inches by 10.5 inches, the card maximizes server rack density while operating within a disciplined 165W thermal envelope powered by a single 16-pin PCIe CEM5 interface. Cooling is entirely passive, omitting onboard fans in favor of a dense internal heatsink array that relies strictly on high-velocity forced chassis airflow from server fans. This solid-state architecture eliminates card-level mechanical failure points and acoustic generation, but renders the unit incompatible with conventional low-airflow desktop enclosures. Featuring a headless configuration with zero display outputs, the accelerator is purpose-tuned for backend inferencing, edge AI processing, and dense multi-stream video pipelines via triple ninth-generation NVENC and triple sixth-generation NVDEC engines with 4:2:2 chroma subsampling support.

Technical Specifications

Architecture NVIDIA Blackwell
GPU Die GB203
Process Node TSMC 4nm
CUDA Cores 10496
Streaming Multiprocessors 82
Tensor Cores 328 (5th Generation)
RT Cores 82 (4th Generation)
Memory Capacity 32 GB
Memory Type GDDR7 ECC
Memory Bus Width 256-bit
Memory Speed 25 Gbps
Memory Bandwidth 800 GB/s
Bus Interface PCIe 5.0 x16
Thermal Design Power (TDP) 165 W
Form Factor Single-slot, Full-Height Full-Length (FHFL)
Dimensions 4.4" H x 10.5" L
Cooling Design Passive (chassis airflow dependent)
Power Connector 1x 16-pin PCIe CEM5
Display Outputs None (headless)
Multi Instance GPU (MIG) Up to 2 instances (16 GB each)
Video Engines 3x NVENC (9th Gen), 3x NVDEC (6th Gen, 4:2:2 support)
Compute Capability 12.0 (sm_120)
FP4 Tensor Compute 1.6 PFLOPS (with 2:4 structured sparsity)
FP8 Tensor Compute 811 TFLOPS
FP16/BF16 Tensor Compute 406 TFLOPS
TF32 Tensor Compute 203 TFLOPS
RT Core Performance 154 TFLOPS
✔ Pros
  • High-density single-slot FHFL form factor with 165W TDP enables high compute density in 1U and 2U server racks
  • 32 GB GDDR7 ECC memory provides 800 GB/s bandwidth for mission-critical enterprise workloads
  • 5th-generation Tensor Cores with native FP4 precision deliver up to 1.6 PFLOPS of inference performance
  • Hardware Multi-Instance GPU (MIG) capability allows isolation into two independent 16 GB partitions
✖ Cons
  • Passive thermal design strictly requires high-CFM server chassis airflow and cannot run in standard desktop PCs
  • Headless server-only configuration lacks physical display outputs
  • Memory clock speed of 25 Gbps provides 800 GB/s bandwidth compared to 896 GB/s on the workstation variant
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Primary Sources & Audited Citations

Where To Buy

Official Store (NVIDIA)
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