GPU Comparison
Select up to 2 GPUs to analyze their pricing, performance, and specifications side-by-side.
Its memory bandwidth is 100% higher (448 GB/s vs 224 GB/s), translating directly to faster inference throughput. The RTX 2000 Ada Generation is $295 GBP cheaper than the RTX A4000.
Maximum Capacity Reached. Remove a model to add another. (2/2)
RTX 2000 Ada Generation vs RTX A4000: 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 A4000 delivers 448 GB/s versus 224 GB/s on the RTX 2000 Ada Generation, a 100% edge. For models already loaded into VRAM, token generation speed scales closely with this number: the RTX A4000 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 A4000 delivers 19.2 TFLOPS against 12 TFLOPS for the RTX 2000 Ada Generation — a 60% compute advantage. Training runs and heavy matrix operations will complete proportionally faster on the RTX A4000.
Price & Value
The RTX 2000 Ada Generation lists from $650 GBP, $295 GBP less than the RTX A4000 at $945 GBP. For budget-constrained teams, the savings may outweigh the spec gap — especially if the smaller card covers your typical workload.
Which should you buy: RTX 2000 Ada Generation or RTX A4000?
Choose the RTX A4000 for maximum capacity — it leads on VRAM, bandwidth, and compute, making it the better fit for large models and training jobs. The RTX 2000 Ada Generation is the more budget-friendly option ($295 GBP less) — a solid choice if your models fit within its 16GB and inference volume is moderate.