Head-to-head · Best Workstation Gpus For AI

AMD Radeon Pro W6800 vs NVIDIA RTX 3500 Ada Generation

Which is the better buy? Side-by-side on rating, price, strengths, and watch-outs — with the published ratings we averaged to get there.

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The short answer

AMD Radeon Pro W6800 comes out ahead by a clear margin (4.5 vs 4.0). The gap is mostly about visualization professionals needing substantial memory and ray tracing performance — read the strengths below before deciding.

Higher ratedRanked #1 in Best Workstation Gpus For AI

AMD Radeon Pro W6800

4.5

7 sources3 derived$1,649.96as of Oct 2

The AMD Radeon Pro W6800 is a workstation-class GPU featuring 32 GB of VRAM and hardware-based ray tracing capabilities. It's designed for demanding architectural visualization workflows and supports professional applications like Solidworks Visualize, Autodesk Maya, and Unreal Engine. While it offers significant memory capacity and viewport boost technology, it's not optimized for FP64 workloads and has limited ray tracing support compared to Nvidia's offerings. This card targets visualization professionals who need substantial memory and ray tracing performance.

Strengths

— Features 32 GB of on-board GDDR6 memory, double that of consumer counterparts
— Includes hardware-based ray tracing with dedicated Ray Accelerators
— Supports up to six displays and Error Correcting Code (ECC) memory

Watch-outs

— Not optimized for FP64 (Double Precision) code used in engineering simulation
— Limited ray tracing acceleration support compared to Nvidia RTX GPUs

$1,649.96 · Check Price on Amazon Full review →

Ranked #4 in Best Workstation Gpus For AI

NVIDIA RTX 3500 Ada Generation

4.0

7 sourcesall derived$3,299.99as of Oct 2

The NVIDIA RTX 3500 Ada Generation is a professional-grade laptop GPU built on TSMC's 5nm process with Ada Lovelace architecture. It features 5,120 CUDA cores and 12 GB of ECC GDDR6 VRAM, delivering strong performance for 3D rendering and AI tasks. While it supports advanced features like DLSS 3 and ray tracing, its variable TGP range leads to significant performance differences between systems. The card is designed for professional users requiring reliable graphics performance in mobile workstations.

Strengths

— 5,120 CUDA cores for high parallel processing capability
— 12 GB of ECC GDDR6 VRAM for professional workloads
— Supports DLSS 3 for enhanced frame rates in compatible applications

Watch-outs

— Wide TGP range (60 W to 140 W) causes inconsistent performance across systems
— Error correction reduces available video memory by up to 1 GB

$3,299.99 · Check Price on Amazon Full review →

Derived means the reviewer published no score, so one was inferred from their written verdict. Everything else is a number the publisher printed. How we rank.

How they stack up

AMD Radeon Pro W6800

The AMD Radeon Pro W6800 provides 32 GB of GDDR6 memory and dedicated Ray Accelerators, making it suitable for CAD, BIM, and visualization tools. While it offers more memory than the RTX A5000's 16 GB, it's less memory-intensive than the RTX 6000 Ada Generation's 48 GB and the RTX A6000's 48 GB. Unlike the NVIDIA cards, it's not optimized for FP64 workloads and has limited ray tracing acceleration support compared to the RTX 6000 Ada Generation.

NVIDIA RTX 3500 Ada Generation

The NVIDIA RTX 3500 Ada Generation is a professional-grade laptop GPU with 12 GB of ECC GDDR6 VRAM and 5,120 CUDA cores, making it suitable for mobile workstations. While it supports DLSS 3 and hardware-accelerated ray tracing, it falls short of the memory capacity of the RTX 6000 Ada Generation and the RTX A6000, which both offer 48 GB of VRAM. Compared to the RTX A5000, it has less memory but is designed for mobile applications and supports DLSS 3.

Specs side-by-side

Spec	AMD Radeon Pro W6800	NVIDIA RTX 3500 Ada Generation
Memory Capacity	32 GB GDDR6	12 GB GDDR6
Architecture	Navi 21	Ada Lovelace
TDP	250W	60 W to 140 W
Memory Bandwidth	512 GB/s	432 GB/s
Form Factor	dual slot, full height	large
Connectivity	Six DisplayPort 1.4 with DSC	DisplayPort 1.4a, PCIe 4.0
CUDA Cores	—	5,120
Tensor Cores	—	160

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