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Quadro RTX 3000 vs Quadro RTX 5000

Workstation Verdict

With 16GB on board versus 6GB for the Quadro RTX 3000, the Quadro RTX 5000 carries more headroom for large models and memory-hungry workloads. Its memory bandwidth is 33% higher (448 GB/s vs 336 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
336 GB/s
FP32 Compute
5.3 TFLOPS
Key Specs Advantage

Comparable or lower specs

Price
SEK 34,630βœ“
VRAM
16 GB GDDR6βœ“
Mem. Speed
448 GB/sβœ“
FP32 Compute
11.2 TFLOPSβœ“
Key Specs Advantage
+111% FP32 (TFLOPS) (11.2 TFLOPS vs 5.3 TFLOPS)
+60% CUDA Cores (3,072 vs 1,920)
+33% Bandwidth (448 GB/s vs 336 GB/s)

Quadro RTX 3000 vs Quadro RTX 5000: In-Depth Breakdown

VRAM: Quadro RTX 3000 vs Quadro RTX 5000

With 16GB of VRAM against the Quadro RTX 3000's 6GB, the Quadro RTX 5000 has a 10GB edge. VRAM is what determines whether a model fits without quantization at all β€” a 70B-parameter model in FP16 needs around 140GB, and smaller models still benefit from spare capacity. That extra headroom lets the Quadro RTX 5000 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 β€” it's the main bottleneck for autoregressive inference (token generation in LLMs). The Quadro RTX 5000 delivers 448 GB/s versus 336 GB/s on the Quadro RTX 3000, a 33% 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

FP32 throughput is the metric that matters most for training, scientific simulation, and rendering work. The Quadro RTX 5000 posts 11.2 TFLOPS versus 5.3 TFLOPS on the Quadro RTX 3000, a 111% compute lead. Expect training jobs and heavy matrix math to finish proportionally sooner on the Quadro RTX 5000.

Which should you buy: Quadro RTX 3000 or Quadro RTX 5000?

For large-model workloads bottlenecked on VRAM, the Quadro RTX 5000 is the better pick. The Quadro RTX 3000 costs less and holds up fine if your models fit inside its 6GB.

Frequently Asked Questions

Can the Quadro RTX 3000 or Quadro RTX 5000 run large language models?

Both can, but the Quadro RTX 5000 (16GB) handles larger models without quantization. The Quadro RTX 3000 (6GB) works well for smaller or heavily quantized models.

Which is faster for LLM inference, the Quadro RTX 3000 or the Quadro RTX 5000?

The Quadro RTX 5000 generates tokens faster: its 448 GB/s of memory bandwidth against 336 GB/s on the Quadro RTX 3000 is the main factor behind inference throughput in autoregressive models.

Which is better for AI training?

The Quadro RTX 5000 has the advantage at 11.2 TFLOPS vs 5.3 TFLOPS, making training runs proportionally faster than on the Quadro RTX 3000.

Which should you buy: Quadro RTX 3000 or Quadro RTX 5000?

For large-model workloads bottlenecked on VRAM, the Quadro RTX 5000 is the better pick. The Quadro RTX 3000 costs less and holds up fine if your models fit inside its 6GB.

Technical Specifications Comparison

Architecture & Cores

Architecture & Cores specifications comparison between Quadro RTX 3000 and Quadro RTX 5000
SpecificationQuadro RTX 3000Quadro RTX 5000
ArchitectureTuringTuring
CUDA Cores (CUDA Cores / CUDA Cores)1,9203,072βœ“

Memory

Memory specifications comparison between Quadro RTX 3000 and Quadro RTX 5000
SpecificationQuadro RTX 3000Quadro RTX 5000
VRAM Capacity6 GB16 GBβœ“
Memory TypeGDDR6GDDR6
Memory Bus192-bit256-bitβœ“
Bandwidth336 GB/s448 GB/sβœ“

Connectivity & Power

Connectivity & Power specifications comparison between Quadro RTX 3000 and Quadro RTX 5000
SpecificationQuadro RTX 3000Quadro RTX 5000
InterfacePCIe 3.0 x16PCIe 3.0 x16
TDP160 Wβœ“230 W
ReleasedApr 2019Oct 2018

Workstation

Workstation specifications comparison between Quadro RTX 3000 and Quadro RTX 5000
SpecificationQuadro RTX 3000Quadro RTX 5000
FP32 (TFLOPS)5.3 TFLOPS11.2 TFLOPSβœ“
ECCYesYes
NVLinkNoNo
Form factorsingle-slotdual-slot