Skip to content

GPU Comparison

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

Workstation Verdict

Its memory bandwidth is 100% higher (448 GB/s vs 224 GB/s), translating directly to faster inference throughput. The RTX 2000 Ada Generation is $379 EUR cheaper than the Quadro RTX 5000.

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

VS
NVIDIA
Quadro RTX 5000
Price
€1,030
VRAM
16 GB GDDR6✓
Mem. Speed
448 GB/s✓
FP32 Compute
11.2 TFLOPS
Key Specs Advantage
+100% Bandwidth (448 GB/s vs 224 GB/s)
+100% Memory Bus (256-bit vs 128-bit)
+9% CUDA Cores (3,072 vs 2,816)
NVIDIA
RTX 2000 Ada Generation
Price
€651✓
VRAM
16 GB GDDR6✓
Mem. Speed
224 GB/s
FP32 Compute
12 TFLOPS✓
Key Specs Advantage
+7% FP32 (TFLOPS) (12 TFLOPS vs 11.2 TFLOPS)
Skip to Spec Sheets ↓

Quadro RTX 5000 vs RTX 2000 Ada Generation: In-Depth Breakdown

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 Quadro RTX 5000 delivers 448 GB/s versus 224 GB/s on the RTX 2000 Ada Generation, a 100% edge. For models already loaded into VRAM, token generation speed scales closely with this number: the Quadro RTX 5000 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 11.2 TFLOPS for the Quadro RTX 5000 — a 7% compute advantage. Training runs and heavy matrix operations will complete proportionally faster on the RTX 2000 Ada Generation.

Price & Value

The RTX 2000 Ada Generation lists from $651 EUR, $379 EUR less than the Quadro RTX 5000 at $1,030 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: Quadro RTX 5000 or RTX 2000 Ada Generation?

Both cards serve similar workloads. Base your decision on whichever spec matters most: VRAM for model capacity, memory bandwidth for inference speed, and FP32 compute for training throughput.

Frequently Asked Questions

Can the Quadro RTX 5000 or RTX 2000 Ada Generation run large language models?

Yes — with 16GB of VRAM each, both support a similar range of models. Memory bandwidth and compute throughput then differentiate their performance.

Which is faster for LLM inference, the Quadro RTX 5000 or the RTX 2000 Ada Generation?

The Quadro RTX 5000 is faster for token generation — its 448 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 11.2 TFLOPS, making training runs proportionally faster than on the Quadro RTX 5000.

Technical Specifications Comparison

Architecture & Cores

SpecificationQuadro RTX 5000RTX 2000 Ada Generation
ArchitectureTuringAda Lovelace
CUDA Cores (CUDA Cores / CUDA Cores)3,072✓2,816

Memory

SpecificationQuadro RTX 5000RTX 2000 Ada Generation
VRAM Capacity16 GB16 GB
Memory TypeGDDR6GDDR6
Memory Bus256-bit✓128-bit
Bandwidth448 GB/s✓224 GB/s

Connectivity & Power

SpecificationQuadro RTX 5000RTX 2000 Ada Generation
InterfacePCIe 3.0 x16PCIe 4.0 x8
TDP230 W70 W✓
ReleasedOct 2018—

Workstation

SpecificationQuadro RTX 5000RTX 2000 Ada Generation
FP32 (TFLOPS)11.2 TFLOPS12 TFLOPS✓
ECCYesYes
NVLinkNoNo
Form factordual-slotlow-profile
Back to Top ↑