GPU Comparison

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

Workstation Verdict

The RTX 2000 Ada Generation has more VRAM (16GB vs 12GB), making it better suited for large models and memory-intensive workloads. Its memory bandwidth is 29% higher (288 GB/s vs 224 GB/s), translating directly to faster inference throughput. The RTX A2000 is $108 GBP cheaper than the RTX 2000 Ada Generation.

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

VS
NVIDIA
RTX 2000 Ada Generation
Price
£650
VRAM
16 GB GDDR6
Mem. Speed
224 GB/s
FP32 Compute
12 TFLOPS
Key Specs Advantage
+50% FP32 (TFLOPS) (12 TFLOPS vs 8 TFLOPS)
NVIDIA
RTX A2000
Price
£542
VRAM
12 GB GDDR6
Mem. Speed
288 GB/s
FP32 Compute
8 TFLOPS
Key Specs Advantage
+50% Memory Bus (192-bit vs 128-bit)
+29% Bandwidth (288 GB/s vs 224 GB/s)
+18% CUDA Cores (3,328 vs 2,816)

RTX 2000 Ada Generation vs RTX A2000: In-Depth Breakdown

VRAM: RTX 2000 Ada Generation vs RTX A2000

The RTX 2000 Ada Generation 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 2000 Ada Generation 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 A2000 delivers 288 GB/s versus 224 GB/s on the RTX 2000 Ada Generation, a 29% edge. For models already loaded into VRAM, token generation speed scales closely with this number: the RTX A2000 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 2000 Ada Generation delivers 12 TFLOPS against 8 TFLOPS for the RTX A2000 — a 50% compute advantage. Training runs and heavy matrix operations will complete proportionally faster on the RTX 2000 Ada Generation.

Price & Value

The RTX A2000 lists from $542 GBP, $108 GBP less than the RTX 2000 Ada Generation at $650 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 A2000?

These cards suit different priorities. Choose the RTX 2000 Ada Generation if fitting larger models in VRAM is your constraint. Choose the RTX A2000 if your models already fit and you want faster inference throughput from its higher memory bandwidth.

Frequently Asked Questions

Can the RTX 2000 Ada Generation or RTX A2000 run large language models?

Both can, but the RTX 2000 Ada Generation (16GB) handles larger models without quantization. The RTX A2000 (12GB) works well for smaller or heavily quantized models.

Which is faster for LLM inference, the RTX 2000 Ada Generation or the RTX A2000?

The RTX A2000 is faster for token generation — its 288 GB/s memory bandwidth vs 224 GB/s on the RTX 2000 Ada Generation is the primary driver of inference throughput in autoregressive models.

Which is better for AI training?

The RTX 2000 Ada Generation has the advantage at 12 TFLOPS vs 8 TFLOPS, making training runs proportionally faster than on the RTX A2000.

Technical Specifications Comparison

Architecture & Cores

SpecificationRTX 2000 Ada GenerationRTX A2000
ArchitectureAda LovelaceAmpere
CUDA Cores (CUDA Cores / CUDA Cores)2,8163,328

Memory

SpecificationRTX 2000 Ada GenerationRTX A2000
VRAM Capacity16 GB12 GB
Memory TypeGDDR6GDDR6
Memory Bus128-bit192-bit
Bandwidth224 GB/s288 GB/s

Connectivity & Power

SpecificationRTX 2000 Ada GenerationRTX A2000
InterfacePCIe 4.0 x8PCIe 4.0 x16
TDP70 W70 W
ReleasedMar 2023Aug 2021

Workstation

SpecificationRTX 2000 Ada GenerationRTX A2000
FP32 (TFLOPS)12 TFLOPS8 TFLOPS
ECCYesYes
NVLinkNoNo
Form factorlow-profilelow-profile