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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 6GB), making it better suited for large models and memory-intensive workloads. Its memory bandwidth is 200% higher (864 GB/s vs 288 GB/s), translating directly to faster inference throughput.

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

VS
AMD
Radeon PRO W7900
Price
Awaiting Data
VRAM
48 GB GDDR6✓
Mem. Speed
864 GB/s✓
FP32 Compute
61.3 TFLOPS✓
Key Specs Advantage
+666% FP32 (TFLOPS) (61.3 TFLOPS vs 8 TFLOPS)
+200% Bandwidth (864 GB/s vs 288 GB/s)
+100% Memory Bus (384-bit vs 192-bit)
NVIDIA
RTX A2000 6GB
Price
R$6,346✓
VRAM
6 GB GDDR6
Mem. Speed
288 GB/s
FP32 Compute
8 TFLOPS
Key Specs Advantage

Comparable or lower specs

Skip to Spec Sheets ↓

Radeon PRO W7900 vs RTX A2000 6GB: In-Depth Breakdown

VRAM: Radeon PRO W7900 vs RTX A2000 6GB

The Radeon PRO W7900 carries 48GB of VRAM versus 6GB on the RTX A2000 6GB. 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 42GB 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 288 GB/s on the RTX A2000 6GB, a 200% 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 8 TFLOPS for the RTX A2000 6GB — a 666% compute advantage. Training runs and heavy matrix operations will complete proportionally faster on the Radeon PRO W7900.

Which should you buy: Radeon PRO W7900 or RTX A2000 6GB?

The Radeon PRO W7900 is the stronger choice for large-model workloads where VRAM is the bottleneck. The RTX A2000 6GB is more economical, and sufficient if your models fit within its 6GB.

Frequently Asked Questions

Can the Radeon PRO W7900 or RTX A2000 6GB run large language models?

Both can, but the Radeon PRO W7900 (48GB) handles larger models without quantization. The RTX A2000 6GB (6GB) works well for smaller or heavily quantized models.

Which is faster for LLM inference, the Radeon PRO W7900 or the RTX A2000 6GB?

The Radeon PRO W7900 is faster for token generation — its 864 GB/s memory bandwidth vs 288 GB/s on the RTX A2000 6GB 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 8 TFLOPS, making training runs proportionally faster than on the RTX A2000 6GB.

Technical Specifications Comparison

Architecture & Cores

SpecificationRadeon PRO W7900RTX A2000 6GB
ArchitectureRDNA 3Ampere
CUDA Cores (Stream Processors / CUDA Cores)6,144✓3,328

Memory

SpecificationRadeon PRO W7900RTX A2000 6GB
VRAM Capacity48 GB✓6 GB
Memory TypeGDDR6GDDR6
Memory Bus384-bit✓192-bit
Bandwidth864 GB/s✓288 GB/s

Connectivity & Power

SpecificationRadeon PRO W7900RTX A2000 6GB
InterfacePCIe 4.0 x16PCIe 4.0 x16
TDP295 W70 W✓
ReleasedNov 2022Jan 2022

Workstation

SpecificationRadeon PRO W7900RTX A2000 6GB
FP32 (TFLOPS)61.3 TFLOPS✓8 TFLOPS
ECCYesYes
NVLinkNoNo
Form factordual-slotlow-profile
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