GPU Comparison
Select up to 2 GPUs to analyze their pricing, performance, and specifications side-by-side.
The RTX A4000 has more VRAM (16GB vs 12GB), making it better suited for large models and memory-intensive workloads. Its memory bandwidth is 56% higher (448 GB/s vs 288 GB/s), translating directly to faster inference throughput. The RTX A2000 is $530 USD cheaper than the RTX A4000.
Maximum Capacity Reached. Remove a model to add another. (2/2)
RTX A2000 vs RTX A4000: In-Depth Breakdown
VRAM: RTX A2000 vs RTX A4000
The RTX A4000 carries 16GB of VRAM versus 12GB on the RTX A2000. 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 4GB advantage here means the RTX A4000 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 RTX A4000 delivers 448 GB/s versus 288 GB/s on the RTX A2000, a 56% 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 8 TFLOPS for the RTX A2000 — a 140% compute advantage. Training runs and heavy matrix operations will complete proportionally faster on the RTX A4000.
Price & Value
The RTX A2000 lists from $350 USD, $530 USD less than the RTX A4000 at $880 USD. 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 A2000 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 A2000 is the more budget-friendly option ($530 USD less) — a solid choice if your models fit within its 12GB and inference volume is moderate.