GPU Comparison

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

Workstation Verdict

The RTX 4500 Ada Generation has more VRAM (24GB vs 20GB), making it better suited for large models and memory-intensive workloads. Its memory bandwidth is 48% higher (640 GB/s vs 432 GB/s), translating directly to faster inference throughput. The RTX A4500 is $1,381 EUR cheaper than the RTX 4500 Ada Generation.

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

VS
Price
€2,583
VRAM
24 GB GDDR6
Mem. Speed
432 GB/s
FP32 Compute
39.6 TFLOPS
Key Specs Advantage
+67% FP32 (TFLOPS) (39.6 TFLOPS vs 23.7 TFLOPS)
+7% CUDA Cores (7,680 vs 7,168)
NVIDIA
RTX A4500
Price
€1,202
VRAM
20 GB GDDR6
Mem. Speed
640 GB/s
FP32 Compute
23.7 TFLOPS
Key Specs Advantage
+67% Memory Bus (320-bit vs 192-bit)
+48% Bandwidth (640 GB/s vs 432 GB/s)

RTX 4500 Ada Generation vs RTX A4500: In-Depth Breakdown

VRAM: RTX 4500 Ada Generation vs RTX A4500

The RTX 4500 Ada Generation carries 24GB of VRAM versus 20GB on the RTX A4500. 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 4500 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 A4500 delivers 640 GB/s versus 432 GB/s on the RTX 4500 Ada Generation, a 48% edge. For models already loaded into VRAM, token generation speed scales closely with this number: the RTX A4500 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 4500 Ada Generation delivers 39.6 TFLOPS against 23.7 TFLOPS for the RTX A4500 — a 67% compute advantage. Training runs and heavy matrix operations will complete proportionally faster on the RTX 4500 Ada Generation.

Price & Value

The RTX A4500 lists from $1,202 EUR, $1,381 EUR less than the RTX 4500 Ada Generation at $2,583 EUR. 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 4500 Ada Generation or RTX A4500?

These cards suit different priorities. Choose the RTX 4500 Ada Generation if fitting larger models in VRAM is your constraint. Choose the RTX A4500 if your models already fit and you want faster inference throughput from its higher memory bandwidth.

Frequently Asked Questions

Can the RTX 4500 Ada Generation or RTX A4500 run large language models?

Both can, but the RTX 4500 Ada Generation (24GB) handles larger models without quantization. The RTX A4500 (20GB) works well for smaller or heavily quantized models.

Which is faster for LLM inference, the RTX 4500 Ada Generation or the RTX A4500?

The RTX A4500 is faster for token generation — its 640 GB/s memory bandwidth vs 432 GB/s on the RTX 4500 Ada Generation is the primary driver of inference throughput in autoregressive models.

Which is better for AI training?

The RTX 4500 Ada Generation has the advantage at 39.6 TFLOPS vs 23.7 TFLOPS, making training runs proportionally faster than on the RTX A4500.

Technical Specifications Comparison

Architecture & Cores

SpecificationRTX 4500 Ada GenerationRTX A4500
ArchitectureAda LovelaceAmpere
CUDA Cores (CUDA Cores / CUDA Cores)7,6807,168

Memory

SpecificationRTX 4500 Ada GenerationRTX A4500
VRAM Capacity24 GB20 GB
Memory TypeGDDR6GDDR6
Memory Bus192-bit320-bit
Bandwidth432 GB/s640 GB/s

Connectivity & Power

SpecificationRTX 4500 Ada GenerationRTX A4500
InterfacePCIe 4.0 x16PCIe 4.0 x16
TDP210 W200 W
ReleasedNov 2022Oct 2021

Workstation

SpecificationRTX 4500 Ada GenerationRTX A4500
FP32 (TFLOPS)39.6 TFLOPS23.7 TFLOPS
ECCYesYes
NVLinkNoYes
Form factordual-slotdual-slot