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RTX A2000 6GB vs RTX A400

Workstation Verdict

With 6GB on board versus 4GB for the RTX A400, the RTX A2000 6GB carries more headroom for large models and memory-hungry workloads. Its memory bandwidth is 125% higher (288 GB/s vs 128 GB/s), translating directly to faster inference throughput.

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

VS
Price
Reference GPU
VRAM
6 GB GDDR6
Mem. Speed
288 GB/s
FP32 Compute
8 TFLOPS
Key Specs Advantage
+333% CUDA Cores (3,328 vs 768)
+200% Memory Bus (192-bit vs 64-bit)
+167% FP32 (TFLOPS) (8 TFLOPS vs 3 TFLOPS)
NVIDIA
RTX A400
Price
€191
VRAM
4 GB GDDR6
Mem. Speed
128 GB/s
FP32 Compute
3 TFLOPS
Key Specs Advantage

Comparable or lower specs

RTX A2000 6GB vs RTX A400: In-Depth Breakdown

VRAM: RTX A2000 6GB vs RTX A400

With 6GB of VRAM against the RTX A400's 4GB, the RTX A2000 6GB has a 2GB edge. VRAM is what determines whether a model fits without quantization at all — a 70B-parameter model in FP16 needs around 140GB, and smaller models still benefit from spare capacity. That extra headroom lets the RTX A2000 6GB load bigger models and run larger production batch sizes.

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 6GB delivers 288 GB/s versus 128 GB/s on the RTX A400, a 125% edge. For models already loaded into VRAM, token generation speed scales closely with this number: the RTX A2000 6GB will produce tokens proportionally faster in bandwidth-bound workloads.

AI Training & Compute

FP32 throughput is the metric that matters most for training, scientific simulation, and rendering work. The RTX A2000 6GB posts 8 TFLOPS versus 3 TFLOPS on the RTX A400, a 167% compute lead. Expect training jobs and heavy matrix math to finish proportionally sooner on the RTX A2000 6GB.

Which should you buy: RTX A2000 6GB or RTX A400?

For large-model workloads bottlenecked on VRAM, the RTX A2000 6GB is the better pick. The RTX A400 costs less and holds up fine if your models fit inside its 4GB.

Frequently Asked Questions

Can the RTX A2000 6GB or RTX A400 run large language models?

Both can, but the RTX A2000 6GB (6GB) handles larger models without quantization. The RTX A400 (4GB) works well for smaller or heavily quantized models.

Which is faster for LLM inference, the RTX A2000 6GB or the RTX A400?

The RTX A2000 6GB generates tokens faster: its 288 GB/s of memory bandwidth against 128 GB/s on the RTX A400 is the main factor behind inference throughput in autoregressive models.

Which is better for AI training?

The RTX A2000 6GB has the advantage at 8 TFLOPS vs 3 TFLOPS, making training runs proportionally faster than on the RTX A400.

Which should you buy: RTX A2000 6GB or RTX A400?

For large-model workloads bottlenecked on VRAM, the RTX A2000 6GB is the better pick. The RTX A400 costs less and holds up fine if your models fit inside its 4GB.

Technical Specifications Comparison

Architecture & Cores

Architecture & Cores specifications comparison between RTX A2000 6GB and RTX A400
SpecificationRTX A2000 6GBRTX A400
ArchitectureAmpereAda Lovelace
CUDA Cores (CUDA Cores / CUDA Cores)3,328768

Memory

Memory specifications comparison between RTX A2000 6GB and RTX A400
SpecificationRTX A2000 6GBRTX A400
VRAM Capacity6 GB4 GB
Memory TypeGDDR6GDDR6
Memory Bus192-bit64-bit
Bandwidth288 GB/s128 GB/s

Connectivity & Power

Connectivity & Power specifications comparison between RTX A2000 6GB and RTX A400
SpecificationRTX A2000 6GBRTX A400
InterfacePCIe 4.0 x16PCIe 4.0 x16
TDP70 W50 W
ReleasedJan 2022Aug 2023

Workstation

Workstation specifications comparison between RTX A2000 6GB and RTX A400
SpecificationRTX A2000 6GBRTX A400
FP32 (TFLOPS)8 TFLOPS3 TFLOPS
ECCYesYes
NVLinkNoNo
Form factorlow-profilelow-profile