GPU Comparison
Select up to 2 GPUs to analyze their pricing, performance, and specifications side-by-side.
Its memory bandwidth is 56% higher (896 GB/s vs 576 GB/s), translating directly to faster inference throughput.
Maximum Capacity Reached. Remove a model to add another. (2/2)
Radeon PRO W7800 vs RTX PRO 4500 Blackwell: 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 RTX PRO 4500 Blackwell delivers 896 GB/s versus 576 GB/s on the Radeon PRO W7800, a 56% edge. For models already loaded into VRAM, token generation speed scales closely with this number: the RTX PRO 4500 Blackwell 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 PRO 4500 Blackwell delivers 53.8 TFLOPS against 45.2 TFLOPS for the Radeon PRO W7800 — a 19% compute advantage. Training runs and heavy matrix operations will complete proportionally faster on the RTX PRO 4500 Blackwell.
Which should you buy: Radeon PRO W7800 or RTX PRO 4500 Blackwell?
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.