GPU Comparison

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

Workstation Verdict

The Radeon PRO W7900 has more VRAM (48GB vs 32GB), making it better suited for large models and memory-intensive workloads. Its memory bandwidth is 69% higher (864 GB/s vs 512 GB/s), translating directly to faster inference throughput.

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

VS
Price
Awaiting Data
VRAM
32 GB GDDR6
Mem. Speed
512 GB/s
FP32 Compute
17.8 TFLOPS
Key Specs Advantage

Comparable or lower specs

AMD
Radeon PRO W7900
Price
€4,556
VRAM
48 GB GDDR6
Mem. Speed
864 GB/s
FP32 Compute
61.3 TFLOPS
Key Specs Advantage
+244% FP32 (TFLOPS) (61.3 TFLOPS vs 17.8 TFLOPS)
+69% Bandwidth (864 GB/s vs 512 GB/s)
+60% Stream Processors (6,144 vs 3,840)

Radeon PRO W6800 vs Radeon PRO W7900: In-Depth Breakdown

VRAM: Radeon PRO W6800 vs Radeon PRO W7900

The Radeon PRO W7900 carries 48GB of VRAM versus 32GB on the Radeon PRO W6800. 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 16GB advantage here means the Radeon PRO W7900 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 W7900 delivers 864 GB/s versus 512 GB/s on the Radeon PRO W6800, a 69% edge. For models already loaded into VRAM, token generation speed scales closely with this number: the Radeon PRO W7900 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 W7900 delivers 61.3 TFLOPS against 17.8 TFLOPS for the Radeon PRO W6800 — a 244% compute advantage. Training runs and heavy matrix operations will complete proportionally faster on the Radeon PRO W7900.

Which should you buy: Radeon PRO W6800 or Radeon PRO W7900?

The Radeon PRO W7900 is the stronger choice for large-model workloads where VRAM is the bottleneck. The Radeon PRO W6800 is more economical, and sufficient if your models fit within its 32GB.

Frequently Asked Questions

Can the Radeon PRO W6800 or Radeon PRO W7900 run large language models?

Both can, but the Radeon PRO W7900 (48GB) handles larger models without quantization. The Radeon PRO W6800 (32GB) works well for smaller or heavily quantized models.

Which is faster for LLM inference, the Radeon PRO W6800 or the Radeon PRO W7900?

The Radeon PRO W7900 is faster for token generation — its 864 GB/s memory bandwidth vs 512 GB/s on the Radeon PRO W6800 is the primary driver of inference throughput in autoregressive models.

Which is better for AI training?

The Radeon PRO W7900 has the advantage at 61.3 TFLOPS vs 17.8 TFLOPS, making training runs proportionally faster than on the Radeon PRO W6800.

Technical Specifications Comparison

Architecture & Cores

SpecificationRadeon PRO W6800Radeon PRO W7900
ArchitectureRDNA 2RDNA 3
CUDA Cores (Stream Processors / Stream Processors)3,8406,144

Memory

SpecificationRadeon PRO W6800Radeon PRO W7900
VRAM Capacity32 GB48 GB
Memory TypeGDDR6GDDR6
Memory Bus256-bit384-bit
Bandwidth512 GB/s864 GB/s

Connectivity & Power

SpecificationRadeon PRO W6800Radeon PRO W7900
InterfacePCIe 4.0 x16PCIe 4.0 x16
TDP250 W295 W
ReleasedMay 2021Nov 2022

Workstation

SpecificationRadeon PRO W6800Radeon PRO W7900
FP32 (TFLOPS)17.8 TFLOPS61.3 TFLOPS
ECCYesYes
NVLinkNoNo
Form factordual-slotdual-slot