GPU Comparison
Select up to 2 GPUs to analyze their pricing, performance, and specifications side-by-side.
Its memory bandwidth is 78% higher (640 GB/s vs 360 GB/s), translating directly to faster inference throughput.
Maximum Capacity Reached. Remove a model to add another. (2/2)
RTX 4000 Ada Generation vs RTX A4500: 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 A4500 delivers 640 GB/s versus 360 GB/s on the RTX 4000 Ada Generation, a 78% edge. For models already loaded into VRAM, token generation speed scales closely with this number: the RTX A4500 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 4000 Ada Generation delivers 26.7 TFLOPS against 23.7 TFLOPS for the RTX A4500 — a 13% compute advantage. Training runs and heavy matrix operations will complete proportionally faster on the RTX 4000 Ada Generation.
Which should you buy: RTX 4000 Ada Generation or RTX A4500?
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.