GPU Comparison

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

Workstation Verdict

The RTX A2000 6GB has more VRAM (6GB vs 4GB), making it better suited for large models and memory-intensive workloads. Its memory bandwidth is 125% higher (288 GB/s vs 128 GB/s), translating directly to faster inference throughput. The Radeon PRO W6400 is $1,004 EUR cheaper than the RTX A2000 6GB.

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

VS
AMD
Radeon PRO W6400
Price
€255
VRAM
4 GB GDDR6
Mem. Speed
128 GB/s
FP32 Compute
3.6 TFLOPS
Key Specs Advantage

Comparable or lower specs

Price
€1,259
VRAM
6 GB GDDR6
Mem. Speed
288 GB/s
FP32 Compute
8 TFLOPS
Key Specs Advantage
+333% CUDA Cores (3,328 vs 768)
+200% Memory Bus (192-bit vs 64-bit)
+125% Bandwidth (288 GB/s vs 128 GB/s)

Radeon PRO W6400 vs RTX A2000 6GB: In-Depth Breakdown

VRAM: Radeon PRO W6400 vs RTX A2000 6GB

The RTX A2000 6GB carries 6GB 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 2GB advantage here means the RTX A2000 6GB 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 RTX A2000 6GB delivers 288 GB/s versus 128 GB/s on the Radeon PRO W6400, a 125% edge. For models already loaded into VRAM, token generation speed scales closely with this number: the RTX A2000 6GB 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 RTX A2000 6GB delivers 8 TFLOPS against 3.6 TFLOPS for the Radeon PRO W6400 — a 122% compute advantage. Training runs and heavy matrix operations will complete proportionally faster on the RTX A2000 6GB.

Price & Value

The Radeon PRO W6400 lists from $255 EUR, $1,004 EUR less than the RTX A2000 6GB at $1,259 EUR. For budget-constrained teams, the savings may outweigh the spec gap — especially if the smaller card covers your typical workload.

Which should you buy: Radeon PRO W6400 or RTX A2000 6GB?

Choose the RTX A2000 6GB for maximum capacity — it leads on VRAM, bandwidth, and compute, making it the better fit for large models and training jobs. The Radeon PRO W6400 is the more budget-friendly option ($1,004 EUR less) — a solid choice if your models fit within its 4GB and inference volume is moderate.

Frequently Asked Questions

Can the Radeon PRO W6400 or RTX A2000 6GB run large language models?

Both can, but the RTX A2000 6GB (6GB) 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 RTX A2000 6GB?

The RTX A2000 6GB is faster for token generation — its 288 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 RTX A2000 6GB has the advantage at 8 TFLOPS vs 3.6 TFLOPS, making training runs proportionally faster than on the Radeon PRO W6400.

Technical Specifications Comparison

Architecture & Cores

SpecificationRadeon PRO W6400RTX A2000 6GB
ArchitectureRDNA 2Ampere
CUDA Cores (Stream Processors / CUDA Cores)7683,328

Memory

SpecificationRadeon PRO W6400RTX A2000 6GB
VRAM Capacity4 GB6 GB
Memory TypeGDDR6GDDR6
Memory Bus64-bit192-bit
Bandwidth128 GB/s288 GB/s

Connectivity & Power

SpecificationRadeon PRO W6400RTX A2000 6GB
InterfacePCIe 4.0 x4PCIe 4.0 x16
TDP50 W70 W
ReleasedMar 2022Jan 2022

Workstation

SpecificationRadeon PRO W6400RTX A2000 6GB
FP32 (TFLOPS)3.6 TFLOPS8 TFLOPS
ECCYesYes
NVLinkNoNo
Form factorlow-profilelow-profile