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RTX 4500 Ada GPU

The RTX 4500 Ada is a mid-range professional GPU for CAD, rendering, and AI workflows.

VRAM 24GB
CUDA Cores 7,680
Tensor Cores 240
TDP 210W
From
$0.18/hr
across 1 provider
RTX 4500 Ada GPU

Cloud Pricing

ProviderGPUsPrice / hrUpdatedSource
1× GPU
$0.18
3/25/2026
Direct from providerVia marketplace

Prices updated daily. Last check: 4/8/2026

Performance

FP32
39.63 TFLOPS
Bandwidth
432 GB/s

Strengths & Limitations

  • 24GB GDDR6 ECC memory provides substantial capacity for large datasets and models
  • 39.6 TFLOPS single-precision performance from 7,680 CUDA cores
  • 240 fourth-generation Tensor cores deliver 634 TFLOPS for AI inference workloads
  • Third-generation RT cores provide 91.6 TFLOPS ray tracing performance
  • Hardware AV1 encoders offer 40% better efficiency compared to H.264 encoding
  • 432 GB/s memory bandwidth supports memory-intensive applications
  • 210W TDP enables deployment in standard workstation configurations
  • 210W power consumption requires adequate PSU and cooling infrastructure
  • Workstation-focused positioning limits availability compared to datacenter GPUs
  • Ada Lovelace architecture predates newer Blackwell generation efficiency improvements
  • May be overkill for basic visualization tasks that don't require 24GB memory
  • Professional workstation drivers may have different optimization focus than datacenter variants

Key Features

NVIDIA Ada Lovelace Architecture
Fourth-generation Tensor Cores
Third-generation RT Cores
AV1 Hardware Encoders
GDDR6 ECC Memory
PCIe Gen4 x16 Interface
CUDA Compute Capability
NVIDIA RTX Technology

About RTX 4500 Ada

The RTX 4500 Ada is a professional workstation GPU based on NVIDIA's Ada Lovelace architecture, positioned as a mid-tier option in NVIDIA's RTX Ada generation lineup. With 7,680 CUDA cores and 24GB of GDDR6 ECC memory, it serves as a capable workstation accelerator for professional visualization and AI workloads without the enterprise positioning of Tesla or RTX 6000 series cards. The RTX 4500 Ada delivers 39.6 TFLOPS of single-precision performance through its 7,680 CUDA cores and incorporates 240 fourth-generation Tensor cores for AI acceleration. Key technical differentiators include third-generation RT cores for ray tracing acceleration, AV1 hardware encoders for video streaming applications, and 432 GB/s of memory bandwidth. The 210W TDP keeps power requirements reasonable for workstation deployments while providing substantial compute capability. This GPU targets professional workstation deployments requiring significant memory capacity and compute performance for generative AI inference, 3D content creation, video production workflows, and data visualization tasks where the 24GB memory buffer and professional driver support provide advantages over consumer gaming cards.

Common Use Cases

The RTX 4500 Ada excels in professional workstation environments requiring substantial GPU memory and compute performance. Its 24GB ECC memory makes it well-suited for generative AI model inference, large-scale 3D rendering projects, and data visualization workflows that benefit from keeping entire datasets in GPU memory. The AV1 encoding capabilities make it valuable for video production and streaming applications, while the RT cores accelerate ray tracing workloads in architectural visualization and product design. The combination of Tensor cores and professional driver optimization positions it effectively for AI development workflows and simulation tasks in engineering and scientific computing environments.

Full Specifications

Hardware

Manufacturer
NVIDIA
Architecture
Ada Lovelace
CUDA Cores
7,680
Tensor Cores
240
RT Cores
60
TDP
210W

Memory & Performance

VRAM
24GB
Memory Bandwidth
432 GB/s
FP32
39.63 TFLOPS
Release
2023

Frequently Asked Questions

How much does an RTX 4500 Ada cost per hour in the cloud?

RTX 4500 Ada pricing varies by provider, region, and commitment level. Check the pricing table above for current rates across all providers.

What is the RTX 4500 Ada best used for?

The RTX 4500 Ada is optimized for professional workstation workloads including generative AI inference, 3D content creation, video production with AV1 encoding, and data visualization. Its 24GB ECC memory and professional drivers make it particularly suitable for applications requiring large memory capacity and workstation-grade reliability.

How does the RTX 4500 Ada compare to datacenter GPUs like the H100?

The RTX 4500 Ada is a workstation GPU with 24GB memory and 39.6 TFLOPS performance, while the H100 is an enterprise datacenter GPU with up to 80GB HBM3 memory and significantly higher compute performance. The H100 offers superior performance for large-scale AI training, while the RTX 4500 Ada provides a more accessible option for inference and professional visualization workloads.