GPU Comparison

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

Workstation Verdict

The RTX A5000 has more VRAM (24GB vs 16GB), making it better suited for large models and memory-intensive workloads. Its memory bandwidth is 71% higher (768 GB/s vs 448 GB/s), translating directly to faster inference throughput. The RTX A4000 is $1,555 GBP cheaper than the RTX A5000.

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

VS
NVIDIA
RTX A4000
Price
£945
VRAM
16 GB GDDR6
Mem. Speed
448 GB/s
FP32 Compute
19.2 TFLOPS
Key Specs Advantage

Comparable or lower specs

NVIDIA
RTX A5000
Price
£2,500
VRAM
24 GB GDDR6
Mem. Speed
768 GB/s
FP32 Compute
27.8 TFLOPS
Key Specs Advantage
+71% Bandwidth (768 GB/s vs 448 GB/s)
+50% Memory Bus (384-bit vs 256-bit)
+45% FP32 (TFLOPS) (27.8 TFLOPS vs 19.2 TFLOPS)

RTX A4000 vs RTX A5000: In-Depth Breakdown

VRAM: RTX A4000 vs RTX A5000

The RTX A5000 carries 24GB of VRAM versus 16GB on the RTX A4000. 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 8GB advantage here means the RTX A5000 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 A5000 delivers 768 GB/s versus 448 GB/s on the RTX A4000, a 71% edge. For models already loaded into VRAM, token generation speed scales closely with this number: the RTX A5000 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 A5000 delivers 27.8 TFLOPS against 19.2 TFLOPS for the RTX A4000 — a 45% compute advantage. Training runs and heavy matrix operations will complete proportionally faster on the RTX A5000.

Price & Value

The RTX A4000 lists from $945 GBP, $1,555 GBP less than the RTX A5000 at $2,500 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 A4000 or RTX A5000?

Choose the RTX A5000 for maximum capacity — it leads on VRAM, bandwidth, and compute, making it the better fit for large models and training jobs. The RTX A4000 is the more budget-friendly option ($1,555 GBP less) — a solid choice if your models fit within its 16GB and inference volume is moderate.

Frequently Asked Questions

Can the RTX A4000 or RTX A5000 run large language models?

Both can, but the RTX A5000 (24GB) handles larger models without quantization. The RTX A4000 (16GB) works well for smaller or heavily quantized models.

Which is faster for LLM inference, the RTX A4000 or the RTX A5000?

The RTX A5000 is faster for token generation — its 768 GB/s memory bandwidth vs 448 GB/s on the RTX A4000 is the primary driver of inference throughput in autoregressive models.

Which is better for AI training?

The RTX A5000 has the advantage at 27.8 TFLOPS vs 19.2 TFLOPS, making training runs proportionally faster than on the RTX A4000.

Technical Specifications Comparison

Architecture & Cores

SpecificationRTX A4000RTX A5000
ArchitectureAmpereAmpere
CUDA Cores (CUDA Cores / CUDA Cores)6,1448,192

Memory

SpecificationRTX A4000RTX A5000
VRAM Capacity16 GB24 GB
Memory TypeGDDR6GDDR6
Memory Bus256-bit384-bit
Bandwidth448 GB/s768 GB/s

Connectivity & Power

SpecificationRTX A4000RTX A5000
InterfacePCIe 4.0 x16PCIe 4.0 x16
TDP140 W230 W
ReleasedApr 2021Apr 2021

Workstation

SpecificationRTX A4000RTX A5000
FP32 (TFLOPS)19.2 TFLOPS27.8 TFLOPS
ECCYesYes
NVLinkNoYes
Form factorsingle-slotdual-slot