RTX 2060 SUPER vs RTX 3070 Ti

TuringvsAmpereUpdated 35 days ago

The RTX 3070 Ti stands as the superior choice for most cloud GPU use cases on gpuperhour.com. It triples compute performance at 21.8 TFLOPS over the RTX 2060 SUPER's 7.2 TFLOPS and boosts bandwidth to 608 GB/s from 448 GB/s, enabling faster training and inference despite the higher 290W TDP. Availability at $0.06 per hour seals its advantage.

Specifications Compared

SpecRTX-2060RTX-3070
TDP160W220W
VRAM6-12 GB8 GB
CUDA Cores1,9205,888
Memory TypeGDDR6GDDR6
ArchitectureTuringAmpere
Form FactorsPCIePCIe
Interconnect
Tensor Cores240184
FP16 Performance6.5 TFLOPS20.3 TFLOPS
FP32 Performance6.5 TFLOPS20.3 TFLOPS
Memory Bandwidth336 GB/s448 GB/s

Performance Analysis

Compute performance defines the core disparity: the RTX 3070 Ti achieves 21.8 TFLOPS in FP16 and FP32, more than three times the 7.2 TFLOPS of the RTX 2060 SUPER. This gap accelerates deep learning training cycles and inference latencies, as FP16 precision dominates modern neural networks. Training large models completes faster on the RTX 3070 Ti, reducing total compute hours significantly. Memory bandwidth further amplifies this: 608 GB/s on the RTX 3070 Ti versus 448 GB/s enables larger batch sizes, minimizing data loading stalls during forward and backward passes. Both GPUs share 8 GB VRAM, adequate for mid-sized models but constraining massive LLMs without quantization. The Ampere design optimizes tensor operations beyond raw specs, enhancing real-world ML efficiency over Turing.

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When to Choose the RTX 2060 SUPER

The RTX 2060 SUPER fits scenarios with strict power budgets or legacy software tied to Turing features. Its 175W TDP consumes less energy than the 290W of the RTX 3070 Ti, ideal for edge deployments or small-scale inference on models under 8 GB. Basic fine-tuning and prototyping succeed with 7.2 TFLOPS, especially where cloud offers are unavailable.

When to Choose the RTX 3070 Ti

The RTX 3070 Ti excels in performance-critical applications like LLM training or high-throughput inference. Its 21.8 TFLOPS and 608 GB/s bandwidth handle larger batches and complex models efficiently. Cloud pricing from $0.06 per hour across live offers supports scalable, on-demand workloads.

Use Cases

LLM Training
RTX 3070 Ti

The RTX 3070 Ti's 21.8 TFLOPS FP16 performance triples the RTX 2060 SUPER's 7.2 TFLOPS, slashing training times for large models.

LLM Inference
RTX 3070 Ti

Higher 608 GB/s bandwidth on the RTX 3070 Ti supports bigger batches than the 448 GB/s of the RTX 2060 SUPER, improving serving throughput.

Fine-tuning
RTX 3070 Ti

Fine-tuning leverages the RTX 3070 Ti's threefold FP32 advantage at 21.8 TFLOPS for quicker iterations on 8 GB models.

Stable Diffusion
RTX 3070 Ti

Ampere's 21.8 TFLOPS and 608 GB/s bandwidth accelerate diffusion steps over Turing's limits.

Scientific Computing
Either

Light simulations run on the RTX 2060 SUPER's 7.2 TFLOPS; intensive HPC requires the RTX 3070 Ti's 21.8 TFLOPS.

Frequently Asked Questions

Which GPU performs better in compute tasks?

The RTX 3070 Ti delivers 21.8 TFLOPS in FP16 and FP32, exceeding the RTX 2060 SUPER's 7.2 TFLOPS by over three times. This boosts training and inference speeds. Both offer 8 GB VRAM for similar model capacities.

How do memory bandwidths compare?

RTX 3070 Ti provides 608 GB/s with GDDR6X, surpassing the RTX 2060 SUPER's 448 GB/s GDDR6. Greater bandwidth reduces bottlenecks in batch processing. It enhances data-heavy ML workflows.

What are the TDP differences?

The RTX 2060 SUPER draws 175W, lower than the RTX 3070 Ti's 290W. Lower TDP suits power-limited setups. Higher TDP correlates with 21.8 TFLOPS performance.

Is cloud pricing available for these GPUs?

No live offers exist for the RTX 2060 SUPER. The RTX 3070 Ti rents from $0.06 per hour, averaging $0.08 per hour across two providers. This favors on-demand Ampere usage.

Which is better for AI training?

RTX 3070 Ti excels with 21.8 TFLOPS and 608 GB/s bandwidth for faster epochs. RTX 2060 SUPER handles small-scale training at 7.2 TFLOPS. Both fit 8 GB models.

What architectures do they use?

RTX 2060 SUPER employs Turing from 2019; RTX 3070 Ti uses Ampere from 2021. Ampere improves tensor cores and efficiency. This drives the performance gap.

Which is cheaper to rent, the RTX 2060 or the RTX 3070?

Cloud rental prices for both the RTX 2060 and RTX 3070 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 3070?

The RTX 2060 has 6 to 12 GB of GDDR6 memory. The RTX 3070 has 8 GB of GDDR6 memory.

Can I find RTX 2060 and RTX 3070 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 3070?

The RTX 2060 uses the Turing architecture (2019) while the RTX 3070 uses Ampere (2020). The RTX 3070 delivers 3.1x the FP16 throughput and 1.3x the memory bandwidth of the RTX 2060.

RTX 2060 SUPER vs RTX 3070 Ti: 12GB vs 8GB | GPUPerHour