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GPU Comparison

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

Workstation Verdict

The Quadro RTX 4000 has more VRAM (8GB vs 6GB), making it better suited for large models and memory-intensive workloads. Its memory bandwidth is 24% higher (416 GB/s vs 336 GB/s), translating directly to faster inference throughput. The Quadro RTX 4000 is $1,609 AED cheaper than the Quadro RTX 3000.

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

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Quadro RTX 3000 vs Quadro RTX 4000: In-Depth Breakdown

VRAM: Quadro RTX 3000 vs Quadro RTX 4000

The Quadro RTX 4000 carries 8GB of VRAM versus 6GB on the Quadro RTX 3000. 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 2GB advantage here means the Quadro RTX 4000 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 Quadro RTX 4000 delivers 416 GB/s versus 336 GB/s on the Quadro RTX 3000, a 24% edge. For models already loaded into VRAM, token generation speed scales closely with this number: the Quadro RTX 4000 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 Quadro RTX 4000 delivers 7.1 TFLOPS against 5.3 TFLOPS for the Quadro RTX 3000 — a 34% compute advantage. Training runs and heavy matrix operations will complete proportionally faster on the Quadro RTX 4000.

Price & Value

The Quadro RTX 4000 lists from $1,890 AED, $1,609 AED less than the Quadro RTX 3000 at $3,499 AED. 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 3000 or Quadro RTX 4000?

The Quadro RTX 4000 is the stronger choice for large-model workloads where VRAM is the bottleneck. The Quadro RTX 3000 is more economical at $1,609 AED less, and sufficient if your models fit within its 6GB.

Frequently Asked Questions

Can the Quadro RTX 3000 or Quadro RTX 4000 run large language models?

Both can, but the Quadro RTX 4000 (8GB) 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 4000?

The Quadro RTX 4000 is faster for token generation — its 416 GB/s memory bandwidth vs 336 GB/s on the Quadro RTX 3000 is the primary driver of inference throughput in autoregressive models.

Which is better for AI training?

The Quadro RTX 4000 has the advantage at 7.1 TFLOPS vs 5.3 TFLOPS, making training runs proportionally faster than on the Quadro RTX 3000.

Technical Specifications Comparison

Architecture & Cores

SpecificationQuadro RTX 3000Quadro RTX 4000
ArchitectureTuringTuring
CUDA Cores (CUDA Cores / CUDA Cores)1,9202,304✓

Memory

SpecificationQuadro RTX 3000Quadro RTX 4000
VRAM Capacity6 GB8 GB✓
Memory TypeGDDR6GDDR6
Memory Bus192-bit256-bit✓
Bandwidth336 GB/s416 GB/s✓

Connectivity & Power

SpecificationQuadro RTX 3000Quadro RTX 4000
InterfacePCIe 3.0 x16PCIe 3.0 x16
TDP160 W160 W
ReleasedApr 2019Oct 2018

Workstation

SpecificationQuadro RTX 3000Quadro RTX 4000
FP32 (TFLOPS)5.3 TFLOPS7.1 TFLOPS✓
ECCYesYes
NVLinkNoNo
Form factorsingle-slotsingle-slot
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