Quadro RTX 5000 vs RTX 2060

TuringvsTuringUpdated 35 days ago

The Quadro RTX 5000 emerges as the winner for most machine learning use cases due to its 16 GB VRAM, 11.2 TFLOPS compute, and 448 GB/s bandwidth, enabling larger models and faster training than the RTX 2060's 6-12 GB and 6.5 TFLOPS. Despite 20 times higher cloud cost at $0.82 per hour, its professional features justify selection for production workloads.

Quadro RTX 5000 from $0.82/hr

Specifications Compared

SpecQUADRO-RTX-5000RTX-2060
TDP230W160W
VRAM16 GB6-12 GB
CUDA Cores3,0721,920
Memory TypeGDDR6GDDR6
ArchitectureTuringTuring
Form FactorsPCIePCIe
InterconnectNVLink
Tensor Cores384240
FP16 Performance11.2 TFLOPS6.5 TFLOPS
FP32 Performance11.2 TFLOPS6.5 TFLOPS
Memory Bandwidth448 GB/s336 GB/s

Performance Analysis

Compute performance differs markedly: the Quadro RTX 5000 delivers 11.2 TFLOPS FP16 and FP32, 72 percent higher than the RTX 2060's 6.5 TFLOPS. This translates to faster model training and inference, with Quadro handling larger batch sizes or complex neural networks up to 72 percent quicker in FP32-bound tasks like scientific simulations.

VRAM capacity is a key factor: Quadro's 16 GB supports models exceeding 12 GB, preventing out-of-memory errors common on RTX 2060's 6-12 GB variants. Memory bandwidth of 448 GB/s on Quadro, versus 336 GB/s on RTX 2060, enables 33 percent larger effective batch sizes in training, reducing per-iteration time.

Higher TDP of 230W on Quadro indicates sustained performance under load, while NVLink allows multi-GPU configurations for scaling beyond single-card limits. RTX 2060's 160W suits power-constrained or intermittent use but throttles in prolonged high-intensity workloads.

Live Cloud Pricing

Real-time prices from 25+ providers. Updated every 60 seconds.

Quadro RTX 5000

ProviderGPU ModelVRAMHost SpecsRegionPriceStatusAction
Paperspace
Paperspace
NVIDIA Quadro RTX 5000
16GB VRAM
$0.82/GPU/hr
Available
Paperspace
Paperspace
2×NVIDIA Quadro RTX 5000
16GB VRAM
$0.82/GPU/hr
$1.64/hr total (2×)
Available

Compare real-time pricing across 25+ providers

When to Choose the Quadro RTX 5000

The Quadro RTX 5000 excels in professional visualization and large-scale AI training requiring 16 GB VRAM. Its 11.2 TFLOPS FP32 performance and 448 GB/s bandwidth handle datasets too large for RTX 2060, such as fine-tuning models over 12 GB. NVLink support enables multi-GPU setups for distributed computing.

Choose it for CAD, rendering, or scientific computing where reliability and peak 11.2 TFLOPS matter over cost.

When to Choose the RTX 2060

The RTX 2060 fits budget-conscious users for entry-level inference or gaming workloads at $0.04 per hour average. Its 6.5 TFLOPS suffices for models under 6 GB VRAM, with 336 GB/s bandwidth supporting moderate batch sizes.

Opt for it in development testing, lightweight Stable Diffusion, or short experiments where 160W TDP and low pricing outweigh Quadro's advantages.

Use Cases

LLM Training
Quadro RTX 5000

Quadro RTX 5000's 16 GB VRAM and 11.2 TFLOPS FP16 handle large language models without swapping, unlike RTX 2060's 6-12 GB limit. Higher 448 GB/s bandwidth supports bigger batches for efficient training.

LLM Inference
Either

RTX 2060 manages small LLMs under 6 GB at low $0.04/hr cost with 6.5 TFLOPS. Quadro RTX 5000 serves larger models needing 16 GB VRAM and NVLink scaling.

Fine-tuning
Quadro RTX 5000

11.2 TFLOPS FP32 on Quadro RTX 5000 accelerates fine-tuning of mid-sized models, with 16 GB VRAM preventing OOM errors. RTX 2060 limits to smaller tasks.

Stable Diffusion
RTX 2060

RTX 2060 runs Stable Diffusion efficiently on 6 GB VRAM at 6.5 TFLOPS and $0.02/hr from pricing. Quadro's extras are unnecessary for typical image generation.

Scientific Computing
Quadro RTX 5000

Quadro RTX 5000's 11.2 TFLOPS FP32 and NVLink excel in simulations requiring high precision and multi-GPU. 448 GB/s bandwidth aids data-intensive HPC tasks.

Frequently Asked Questions

Which GPU has more VRAM: Quadro RTX 5000 or RTX 2060?

The Quadro RTX 5000 provides 16 GB GDDR6 VRAM. The RTX 2060 offers 6-12 GB GDDR6, making Quadro better for memory-intensive tasks.

How do their compute performances compare?

Quadro RTX 5000 delivers 11.2 TFLOPS FP16 and FP32. RTX 2060 achieves 6.5 TFLOPS in both, a 72 percent gap favoring Quadro for training.

What are the cloud rental prices?

Quadro RTX 5000 starts at $0.82 per hour average across two offers. RTX 2060 begins at $0.02 per hour, averaging $0.04 per hour.

Does either support NVLink?

Quadro RTX 5000 includes NVLink for multi-GPU interconnect. RTX 2060 lacks this feature, limiting scaling options.

Which has higher power consumption?

Quadro RTX 5000 has 230W TDP for sustained loads. RTX 2060 uses 160W, suiting lower-power setups.

Are they the same architecture?

Both use NVIDIA Turing architecture, Quadro RTX 5000 from 2018 and RTX 2060 from 2019. Differences stem from professional versus consumer optimizations.

Which is cheaper to rent, the Quadro RTX 5000 or the RTX 2060?

Cloud rental prices for both the Quadro RTX 5000 and RTX 2060 vary by provider, configuration, and availability. This page shows live pricing from 25+ providers updated every 60 seconds. Scroll to the Live Cloud Pricing section to compare current rates.

How much VRAM does the Quadro RTX 5000 have compared to the RTX 2060?

The Quadro RTX 5000 has 16 GB of GDDR6 memory. The RTX 2060 has 6 to 12 GB of GDDR6 memory.

Can I find Quadro RTX 5000 and RTX 2060 GPUs available to rent right now?

Yes. This page shows real-time availability across 25+ cloud GPU providers. The Live Cloud Pricing section displays only in-stock offers with current pricing.

What is the main difference between the Quadro RTX 5000 and the RTX 2060?

The Quadro RTX 5000 uses the Turing architecture (2018) while the RTX 2060 uses Turing (2019). The Quadro RTX 5000 delivers 1.7x the FP16 throughput and 1.3x the memory bandwidth of the RTX 2060.