GPU Comparison

Select up to 2 GPUs to analyze their pricing, performance, and specifications side-by-side.

Workstation Verdict

The RTX A6000 has more VRAM (48GB vs 32GB), making it better suited for large models and memory-intensive workloads. Its memory bandwidth is 33% higher (768 GB/s vs 576 GB/s), translating directly to faster inference throughput. The RTX 5000 Ada Generation is $4,401 GBP cheaper than the RTX A6000.

Maximum Capacity Reached. Remove a model to add another. (2/2)

VS
NVIDIA
RTX 5000 Ada Generation
Price
£2,755
VRAM
32 GB GDDR6
Mem. Speed
576 GB/s
FP32 Compute
65.3 TFLOPS
Key Specs Advantage
+69% FP32 (TFLOPS) (65.3 TFLOPS vs 38.7 TFLOPS)
+19% CUDA Cores (12,800 vs 10,752)
NVIDIA
RTX A6000
Price
£7,156
VRAM
48 GB GDDR6
Mem. Speed
768 GB/s
FP32 Compute
38.7 TFLOPS
Key Specs Advantage
+50% Memory Bus (384-bit vs 256-bit)
+33% Bandwidth (768 GB/s vs 576 GB/s)

RTX 5000 Ada Generation vs RTX A6000: In-Depth Breakdown

VRAM: RTX 5000 Ada Generation vs RTX A6000

The RTX A6000 carries 48GB of VRAM versus 32GB on the RTX 5000 Ada Generation. 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 16GB advantage here means the RTX A6000 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 A6000 delivers 768 GB/s versus 576 GB/s on the RTX 5000 Ada Generation, a 33% edge. For models already loaded into VRAM, token generation speed scales closely with this number: the RTX A6000 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 5000 Ada Generation delivers 65.3 TFLOPS against 38.7 TFLOPS for the RTX A6000 — a 69% compute advantage. Training runs and heavy matrix operations will complete proportionally faster on the RTX 5000 Ada Generation.

Price & Value

The RTX 5000 Ada Generation lists from $2,755 GBP, $4,401 GBP less than the RTX A6000 at $7,156 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 5000 Ada Generation or RTX A6000?

The RTX A6000 is the stronger choice for large-model workloads where VRAM is the bottleneck. The RTX 5000 Ada Generation is more economical at $4,401 GBP less, and sufficient if your models fit within its 32GB.

Frequently Asked Questions

Can the RTX 5000 Ada Generation or RTX A6000 run large language models?

Both can, but the RTX A6000 (48GB) handles larger models without quantization. The RTX 5000 Ada Generation (32GB) works well for smaller or heavily quantized models.

Which is faster for LLM inference, the RTX 5000 Ada Generation or the RTX A6000?

The RTX A6000 is faster for token generation — its 768 GB/s memory bandwidth vs 576 GB/s on the RTX 5000 Ada Generation is the primary driver of inference throughput in autoregressive models.

Which is better for AI training?

The RTX 5000 Ada Generation has the advantage at 65.3 TFLOPS vs 38.7 TFLOPS, making training runs proportionally faster than on the RTX A6000.

Technical Specifications Comparison

Architecture & Cores

SpecificationRTX 5000 Ada GenerationRTX A6000
ArchitectureAda LovelaceAmpere
CUDA Cores (CUDA Cores / CUDA Cores)12,80010,752

Memory

SpecificationRTX 5000 Ada GenerationRTX A6000
VRAM Capacity32 GB48 GB
Memory TypeGDDR6GDDR6
Memory Bus256-bit384-bit
Bandwidth576 GB/s768 GB/s

Connectivity & Power

SpecificationRTX 5000 Ada GenerationRTX A6000
InterfacePCIe 4.0 x16PCIe 4.0 x16
TDP250 W300 W
ReleasedNov 2022Apr 2021

Workstation

SpecificationRTX 5000 Ada GenerationRTX A6000
FP32 (TFLOPS)65.3 TFLOPS38.7 TFLOPS
ECCYesYes
NVLinkNoYes
Form factordual-slotdual-slot