RTX 2060 SUPER vs RTX 3080

TuringvsAmpereUpdated 35 days ago

The RTX 3080 emerges as the superior choice for prevalent cloud GPU applications on gpuperhour.com. Its 29.8 TFLOPS compute power, 760 GB/s bandwidth, and pricing from $0.06 per hour eclipse the RTX 2060 Super's 7.2 TFLOPS and absent live offers. High-end AI tasks demand such advantages over mid-range constraints.

Specifications Compared

SpecRTX-2060RTX-3080
TDP160W320W
VRAM6-12 GB10-12 GB
CUDA Cores1,9208,704
Memory TypeGDDR6GDDR6X
ArchitectureTuringAmpere
Form FactorsPCIePCIe
Interconnect
Tensor Cores240272
FP16 Performance6.5 TFLOPS29.8 TFLOPS
FP32 Performance6.5 TFLOPS29.8 TFLOPS
Memory Bandwidth336 GB/s760 GB/s

Performance Analysis

Compute disparity defines capabilities: the RTX 3080 achieves 29.8 TFLOPS FP16 and FP32 versus 7.2 TFLOPS on the RTX 2060 Super. This yields approximately four times faster training loops and inference passes in machine learning pipelines. FP16 dominance speeds half-precision operations essential for modern LLM training while FP32 matches ensure broad scientific computing gains. Memory bandwidth edges further ahead at 760 GB/s on the RTX 3080 against 448 GB/s: larger values permit bigger batch sizes without memory bottlenecks. The RTX 3080's 10-12 GB VRAM sustains complex models like Stable Diffusion at scale, unlike the RTX 2060 Super's 8 GB limit. Higher 320 W TDP correlates with sustained performance under load, though it doubles power draw from 175 W.

Live Cloud Pricing

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

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When to Choose the RTX 2060 SUPER

The RTX 2060 Super suits low-power or legacy deployments: its 175 W TDP halves the RTX 3080's 320 W consumption for edge devices or cost-sensitive local PCIe systems. It manages small-scale inference and fine-tuning within 8 GB VRAM and 448 GB/s bandwidth. Absence of live cloud offers directs users to owned hardware for basic tasks avoiding rental expenses.

When to Choose the RTX 3080

The RTX 3080 dominates demanding AI workflows: 29.8 TFLOPS FP16 enables swift LLM training and Stable Diffusion generation unavailable on the 7.2 TFLOPS RTX 2060 Super. Cloud availability from $0.06 per hour across six offers facilitates scalable rentals. Superior 760 GB/s bandwidth and 10-12 GB VRAM handle large batches and models efficiently.

Use Cases

LLM Training
RTX 3080

RTX 3080's 29.8 TFLOPS FP16 outperforms RTX 2060 Super's 7.2 TFLOPS for large model training. Its 10-12 GB VRAM and 760 GB/s bandwidth support extensive datasets and batches.

LLM Inference
RTX 3080

Higher 29.8 TFLOPS on RTX 3080 accelerates real-time inference over 7.2 TFLOPS. Greater bandwidth of 760 GB/s enables low-latency serving of bigger models.

Fine-tuning
Either

RTX 2060 Super's 8 GB VRAM suffices for small model fine-tuning at 7.2 TFLOPS. RTX 3080 excels at 29.8 TFLOPS for larger scales with cloud pricing from $0.06 per hour.

Stable Diffusion
RTX 3080

RTX 3080's 10-12 GB VRAM and 760 GB/s bandwidth generate images faster via 29.8 TFLOPS. RTX 2060 Super limits resolution and speed with 8 GB and 448 GB/s.

Scientific Computing
RTX 3080

29.8 TFLOPS FP32 on RTX 3080 processes simulations quicker than 7.2 TFLOPS. Bandwidth advantage of 760 GB/s over 448 GB/s aids data-intensive calculations.

Frequently Asked Questions

Which GPU performs better, RTX 2060 Super or RTX 3080?

The RTX 3080 outperforms with 29.8 TFLOPS FP16 and FP32 versus 7.2 TFLOPS on RTX 2060 Super. Bandwidth reaches 760 GB/s compared to 448 GB/s. This results in over four times faster AI workloads.

What is the VRAM difference between RTX 2060 Super and RTX 3080?

RTX 2060 Super has 8 GB GDDR6 VRAM. RTX 3080 offers 10-12 GB GDDR6X. Extra capacity on RTX 3080 fits larger models without issues.

How do power requirements compare?

RTX 2060 Super TDP is 175 W. RTX 3080 requires 320 W. Lower draw favors RTX 2060 Super in power-limited setups.

What are the cloud pricing details?

No live offers exist for RTX 2060 Super. RTX 3080 starts at $0.06 per hour with average $0.17 per hour across six providers.

Which architecture do they use?

RTX 2060 Super uses Turing from 2019. RTX 3080 employs Ampere from 2020. Ampere provides efficiency gains in compute tasks.

Can RTX 2060 Super handle machine learning?

RTX 2060 Super manages basic ML with 7.2 TFLOPS and 8 GB VRAM. It suits small fine-tuning but lags RTX 3080's 29.8 TFLOPS for production.

Which is cheaper to rent, the RTX 2060 or the RTX 3080?

Cloud rental prices for both the RTX 2060 and RTX 3080 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 RTX 2060 have compared to the RTX 3080?

The RTX 2060 has 6 to 12 GB of GDDR6 memory. The RTX 3080 has 10 to 12 GB of GDDR6X memory.

Can I find RTX 2060 and RTX 3080 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 RTX 2060 and the RTX 3080?

The RTX 2060 uses the Turing architecture (2019) while the RTX 3080 uses Ampere (2020). The RTX 3080 delivers 4.6x the FP16 throughput and 2.3x the memory bandwidth of the RTX 2060.