GPU Comparison
Select up to 2 GPUs to analyze their pricing, performance, and specifications side-by-side.
The RTX A6000 has more VRAM (48GB vs 24GB), making it better suited for large models and memory-intensive workloads. The RTX A5000 is $10,724 CAD cheaper than the RTX A6000.
Maximum Capacity Reached. Remove a model to add another. (2/2)
RTX A5000 vs RTX A6000: In-Depth Breakdown
VRAM: RTX A5000 vs RTX A6000
The RTX A6000 carries 48GB of VRAM versus 24GB on the RTX A5000. 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 24GB advantage here means the RTX A6000 can run larger models natively and handle bigger batch sizes in production.
AI Training & Compute
For model training, scientific simulation, and rendering, FP32 throughput is the key metric. The RTX A6000 delivers 38.7 TFLOPS against 27.8 TFLOPS for the RTX A5000 — a 39% compute advantage. Training runs and heavy matrix operations will complete proportionally faster on the RTX A6000.
Price & Value
The RTX A5000 lists from $5,299 CAD, $10,724 CAD less than the RTX A6000 at $16,023 CAD. 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 A5000 or RTX A6000?
Choose the RTX A6000 for maximum capacity — it leads on VRAM, bandwidth, and compute, making it the better fit for large models and training jobs. The RTX A5000 is the more budget-friendly option ($10,724 CAD less) — a solid choice if your models fit within its 24GB and inference volume is moderate.