Skip to content

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 4GB), making it better suited for large models and memory-intensive workloads. Its memory bandwidth is 575% higher (864 GB/s vs 128 GB/s), translating directly to faster inference throughput.

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

VS
AMD
Radeon PRO W6400
Price
Awaiting Data
VRAM
4 GB GDDR6
Mem. Speed
128 GB/s
FP32 Compute
3.6 TFLOPS
Key Specs Advantage

Comparable or lower specs

AMD
Radeon PRO W7900
Price
Awaiting Data
VRAM
48 GB GDDR6✓
Mem. Speed
864 GB/s✓
FP32 Compute
61.3 TFLOPS✓
Key Specs Advantage
+1603% FP32 (TFLOPS) (61.3 TFLOPS vs 3.6 TFLOPS)
+700% Stream Processors (6,144 vs 768)
+575% Bandwidth (864 GB/s vs 128 GB/s)
Skip to Spec Sheets ↓

Radeon PRO W6400 vs Radeon PRO W7900: In-Depth Breakdown

VRAM: Radeon PRO W6400 vs Radeon PRO W7900

The Radeon PRO W7900 carries 48GB of VRAM versus 4GB on the Radeon PRO W6400. 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 44GB 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 128 GB/s on the Radeon PRO W6400, a 575% 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 3.6 TFLOPS for the Radeon PRO W6400 — a 1603% compute advantage. Training runs and heavy matrix operations will complete proportionally faster on the Radeon PRO W7900.

Which should you buy: Radeon PRO W6400 or Radeon PRO W7900?

The Radeon PRO W7900 is the stronger choice for large-model workloads where VRAM is the bottleneck. The Radeon PRO W6400 is more economical, and sufficient if your models fit within its 4GB.

Frequently Asked Questions

Can the Radeon PRO W6400 or Radeon PRO W7900 run large language models?

Both can, but the Radeon PRO W7900 (48GB) handles larger models without quantization. The Radeon PRO W6400 (4GB) works well for smaller or heavily quantized models.

Which is faster for LLM inference, the Radeon PRO W6400 or the Radeon PRO W7900?

The Radeon PRO W7900 is faster for token generation — its 864 GB/s memory bandwidth vs 128 GB/s on the Radeon PRO W6400 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 3.6 TFLOPS, making training runs proportionally faster than on the Radeon PRO W6400.

Technical Specifications Comparison

Architecture & Cores

SpecificationRadeon PRO W6400Radeon PRO W7900
ArchitectureRDNA 2RDNA 3
CUDA Cores (Stream Processors / Stream Processors)7686,144✓

Memory

SpecificationRadeon PRO W6400Radeon PRO W7900
VRAM Capacity4 GB48 GB✓
Memory TypeGDDR6GDDR6
Memory Bus64-bit384-bit✓
Bandwidth128 GB/s864 GB/s✓

Connectivity & Power

SpecificationRadeon PRO W6400Radeon PRO W7900
InterfacePCIe 4.0 x4PCIe 4.0 x16
TDP50 W✓295 W
ReleasedMar 2022Nov 2022

Workstation

SpecificationRadeon PRO W6400Radeon PRO W7900
FP32 (TFLOPS)3.6 TFLOPS61.3 TFLOPS✓
ECCYesYes
NVLinkNoNo
Form factorlow-profiledual-slot
Back to Top ↑