GPU Comparison

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

Workstation Verdict

Its memory bandwidth is 29% higher (288 GB/s vs 224 GB/s), translating directly to faster inference throughput.

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

VS
AMD
Radeon PRO W7700
Price
$1,399 CAD
VRAM
16 GB GDDR6
Mem. Speed
288 GB/s
FP32 Compute
34.6 TFLOPS
Key Specs Advantage
+188% FP32 (TFLOPS) (34.6 TFLOPS vs 12 TFLOPS)
+29% Bandwidth (288 GB/s vs 224 GB/s)
Price
Awaiting Data
VRAM
16 GB GDDR6
Mem. Speed
224 GB/s
FP32 Compute
12 TFLOPS
Key Specs Advantage

Comparable or lower specs

Radeon PRO W7700 vs RTX 2000 Ada Generation: In-Depth Breakdown

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 W7700 delivers 288 GB/s versus 224 GB/s on the RTX 2000 Ada Generation, a 29% edge. For models already loaded into VRAM, token generation speed scales closely with this number: the Radeon PRO W7700 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 W7700 delivers 34.6 TFLOPS against 12 TFLOPS for the RTX 2000 Ada Generation — a 188% compute advantage. Training runs and heavy matrix operations will complete proportionally faster on the Radeon PRO W7700.

Which should you buy: Radeon PRO W7700 or RTX 2000 Ada Generation?

Both cards serve similar workloads. Base your decision on whichever spec matters most: VRAM for model capacity, memory bandwidth for inference speed, and FP32 compute for training throughput.

Frequently Asked Questions

Can the Radeon PRO W7700 or RTX 2000 Ada Generation run large language models?

Yes — with 16GB of VRAM each, both support a similar range of models. Memory bandwidth and compute throughput then differentiate their performance.

Which is faster for LLM inference, the Radeon PRO W7700 or the RTX 2000 Ada Generation?

The Radeon PRO W7700 is faster for token generation — its 288 GB/s memory bandwidth vs 224 GB/s on the RTX 2000 Ada Generation is the primary driver of inference throughput in autoregressive models.

Which is better for AI training?

The Radeon PRO W7700 has the advantage at 34.6 TFLOPS vs 12 TFLOPS, making training runs proportionally faster than on the RTX 2000 Ada Generation.

Technical Specifications Comparison

Architecture & Cores

SpecificationRadeon PRO W7700RTX 2000 Ada Generation
ArchitectureRDNA 3Ada Lovelace
CUDA Cores (Stream Processors / CUDA Cores)2,8162,816

Memory

SpecificationRadeon PRO W7700RTX 2000 Ada Generation
VRAM Capacity16 GB16 GB
Memory TypeGDDR6GDDR6
Memory Bus128-bit128-bit
Bandwidth288 GB/s224 GB/s

Connectivity & Power

SpecificationRadeon PRO W7700RTX 2000 Ada Generation
InterfacePCIe 4.0 x16PCIe 4.0 x8
TDP190 W70 W
ReleasedApr 2023Mar 2023

Workstation

SpecificationRadeon PRO W7700RTX 2000 Ada Generation
FP32 (TFLOPS)34.6 TFLOPS12 TFLOPS
ECCYesYes
NVLinkNoNo
Form factordual-slotlow-profile