GPU Comparison

Select up to 2 GPUs to analyze their pricing, performance, and specifications side-by-side.

Workstation Verdict

The Radeon PRO W6800 has more VRAM (32GB vs 8GB), making it better suited for large models and memory-intensive workloads. Its memory bandwidth is 14% higher (512 GB/s vs 448 GB/s), translating directly to faster inference throughput.

Maximum Capacity Reached. Remove a model to add another. (2/2)

VS
AMD
Radeon PRO W5700
Price
$426 CAD
VRAM
8 GB GDDR6
Mem. Speed
448 GB/s
FP32 Compute
8.5 TFLOPS
Key Specs Advantage

Comparable or lower specs

Price
Awaiting Data
VRAM
32 GB GDDR6
Mem. Speed
512 GB/s
FP32 Compute
17.8 TFLOPS
Key Specs Advantage
+109% FP32 (TFLOPS) (17.8 TFLOPS vs 8.5 TFLOPS)
+67% Stream Processors (3,840 vs 2,304)
+14% Bandwidth (512 GB/s vs 448 GB/s)

Radeon PRO W5700 vs Radeon PRO W6800: In-Depth Breakdown

VRAM: Radeon PRO W5700 vs Radeon PRO W6800

The Radeon PRO W6800 carries 32GB of VRAM versus 8GB on the Radeon PRO W5700. VRAM capacity is the primary constraint for running AI models without quantization — a 70B-parameter model in FP16 requires roughly 140GB, and even smaller models benefit from extra headroom. The 24GB advantage here means the Radeon PRO W6800 can run larger models natively and handle bigger batch sizes in production.

Inference Speed: Memory Bandwidth

Memory bandwidth determines how quickly data is fed to the compute units — it's the main bottleneck for autoregressive inference (token generation in LLMs). The Radeon PRO W6800 delivers 512 GB/s versus 448 GB/s on the Radeon PRO W5700, a 14% edge. For models already loaded into VRAM, token generation speed scales closely with this number: the Radeon PRO W6800 will produce tokens proportionally faster in bandwidth-bound workloads.

AI Training & Compute

For model training, scientific simulation, and rendering, FP32 throughput is the key metric. The Radeon PRO W6800 delivers 17.8 TFLOPS against 8.5 TFLOPS for the Radeon PRO W5700 — a 109% compute advantage. Training runs and heavy matrix operations will complete proportionally faster on the Radeon PRO W6800.

Which should you buy: Radeon PRO W5700 or Radeon PRO W6800?

The Radeon PRO W6800 is the stronger choice for large-model workloads where VRAM is the bottleneck. The Radeon PRO W5700 is more economical, and sufficient if your models fit within its 8GB.

Frequently Asked Questions

Can the Radeon PRO W5700 or Radeon PRO W6800 run large language models?

Both can, but the Radeon PRO W6800 (32GB) handles larger models without quantization. The Radeon PRO W5700 (8GB) works well for smaller or heavily quantized models.

Which is faster for LLM inference, the Radeon PRO W5700 or the Radeon PRO W6800?

The Radeon PRO W6800 is faster for token generation — its 512 GB/s memory bandwidth vs 448 GB/s on the Radeon PRO W5700 is the primary driver of inference throughput in autoregressive models.

Which is better for AI training?

The Radeon PRO W6800 has the advantage at 17.8 TFLOPS vs 8.5 TFLOPS, making training runs proportionally faster than on the Radeon PRO W5700.

Technical Specifications Comparison

Architecture & Cores

SpecificationRadeon PRO W5700Radeon PRO W6800
ArchitectureRDNA 1RDNA 2
CUDA Cores (Stream Processors / Stream Processors)2,3043,840

Memory

SpecificationRadeon PRO W5700Radeon PRO W6800
VRAM Capacity8 GB32 GB
Memory TypeGDDR6GDDR6
Memory Bus256-bit256-bit
Bandwidth448 GB/s512 GB/s

Connectivity & Power

SpecificationRadeon PRO W5700Radeon PRO W6800
InterfacePCIe 4.0 x16PCIe 4.0 x16
TDP130 W250 W
ReleasedDec 2019May 2021

Workstation

SpecificationRadeon PRO W5700Radeon PRO W6800
FP32 (TFLOPS)8.5 TFLOPS17.8 TFLOPS
ECCYesYes
NVLinkNoNo
Form factordual-slotdual-slot