RTX 2070 SUPER vs RTX 5060

TuringvsBlackwellUpdated 33 days ago

The RTX 5060 emerges as the winner for prevalent use cases like LLM training and inference. Its 23.1 TFLOPS and 12 GB VRAM enable handling of larger models and batches far beyond the RTX 2070 SUPER's 9.1 TFLOPS and 8 GB limits.

RTX 5060 from $0.27/hr

Specifications Compared

SpecRTX-2070RTX-5060
TDP175W180W
VRAM8 GB12 GB
CUDA Cores2,3044,608
Memory TypeGDDR6GDDR7
ArchitectureTuringBlackwell
Form FactorsPCIePCIe
InterconnectNVLink
Tensor Cores288144
FP16 Performance7.5 TFLOPS23.1 TFLOPS
FP32 Performance7.5 TFLOPS23.1 TFLOPS
Memory Bandwidth448 GB/s448 GB/s

Performance Analysis

The RTX 5060 demonstrates superior compute capability: 23.1 TFLOPS in FP16 and FP32 dwarfs the RTX 2070 SUPER's 9.1 TFLOPS. This yields about 2.5 times faster model training and inference, particularly in mixed-precision workflows common to deep learning.

VRAM disparity proves critical: 12 GB on the RTX 5060 versus 8 GB on the RTX 2070 SUPER permits larger batch sizes and complex models without memory constraints. While the RTX 2070 SUPER edges bandwidth at 496 GB/s over 448 GB/s, the capacity advantage enhances throughput for memory-bound operations like LLM fine-tuning.

Efficiency favors the RTX 5060, delivering 23.1 TFLOPS at 180 W compared to 9.1 TFLOPS at 215 W. This lowers energy costs in extended cloud sessions.

Live Cloud Pricing

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

RTX 5060

ProviderGPU ModelVRAMHost SpecsRegionPriceStatusAction
Vast.ai
Vast.ai
4×NVIDIA GeForce RTX 5060 Ti
16GB VRAM
$0.27/GPU/hr
$1.07/hr total (4×)
Available

Compare real-time pricing across 25+ providers

When to Choose the RTX 2070 SUPER

The RTX 2070 SUPER suits legacy applications optimized for Turing architecture or workloads fitting within 8 GB VRAM. Its 496 GB/s bandwidth excels in bandwidth-sensitive tasks like certain inference pipelines where 9.1 TFLOPS suffices.

Select it for cost-sensitive setups or gaming proxies in cloud environments, assuming lower rental rates emerge. The 215 W TDP aligns with standard consumer power envelopes.

When to Choose the RTX 5060

Choose the RTX 5060 for modern AI tasks demanding 12 GB VRAM, such as training mid-sized LLMs or high-resolution diffusion models. Its 23.1 TFLOPS accelerates processing 2.5 times over the RTX 2070 SUPER's 9.1 TFLOPS.

The 180 W TDP ensures superior performance per watt, ideal for prolonged cloud compute where efficiency reduces expenses.

Use Cases

LLM Training
RTX 5060

RTX 5060's 23.1 TFLOPS and 12 GB VRAM handle larger models and batch sizes better than RTX 2070 SUPER's 9.1 TFLOPS and 8 GB.

LLM Inference
RTX 5060

The 23.1 TFLOPS FP16 performance on RTX 5060 delivers faster inference speeds for LLMs versus 9.1 TFLOPS on RTX 2070 SUPER.

Fine-tuning
RTX 5060

Superior 12 GB VRAM and 2.5x compute on RTX 5060 support efficient fine-tuning of larger models.

Stable Diffusion
RTX 5060

RTX 5060's higher TFLOPS and VRAM capacity accelerate image generation at higher resolutions.

Scientific Computing
RTX 5060

Compute-intensive simulations benefit from RTX 5060's 23.1 TFLOPS over 9.1 TFLOPS.

Frequently Asked Questions

Which GPU has more VRAM: RTX 2070 SUPER or RTX 5060?

The RTX 5060 provides 12 GB GDDR7 VRAM, exceeding the RTX 2070 SUPER's 8 GB GDDR6. Larger VRAM supports bigger models in AI tasks. RTX 2070 SUPER offers 496 GB/s bandwidth to RTX 5060's 448 GB/s.

What are the FP32 performance differences?

RTX 5060 achieves 23.1 TFLOPS FP32, over 2.5 times the RTX 2070 SUPER's 9.1 TFLOPS. This boosts training and simulation speeds. FP16 matches these figures on both.

How do the TDPs compare?

RTX 2070 SUPER consumes 215 W, higher than RTX 5060's 180 W. RTX 5060 yields better TFLOPS per watt at 0.128 versus 0.042. Efficiency aids cloud billing.

Does either support NVLink?

RTX 2070 SUPER includes NVLink interconnect for multi-GPU scaling. RTX 5060 lacks this specification. Use NVLink for compatible parallel workloads.

Which has the newer architecture?

RTX 5060 uses 2025 Blackwell architecture, advancing beyond 2019 Turing in RTX 2070 SUPER. Blackwell optimizes AI tensor operations. Expect efficiency gains.

Are cloud rentals available for these GPUs?

No live offers exist currently for RTX 2070 SUPER or RTX 5060 on gpuperhour.com. Monitor for RTX 5060 listings post-launch. Pricing will influence choices.

Which is cheaper to rent, the RTX 2070 or the RTX 5060?

Cloud rental prices for both the RTX 2070 and RTX 5060 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 2070 have compared to the RTX 5060?

The RTX 2070 has 8 GB of GDDR6 memory. The RTX 5060 has 12 GB of GDDR7 memory.

Can I find RTX 2070 and RTX 5060 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 2070 and the RTX 5060?

The RTX 2070 uses the Turing architecture (2018) while the RTX 5060 uses Blackwell (2025). The RTX 5060 delivers 3.1x the FP16 throughput and 1.0x the memory bandwidth of the RTX 2070.

RTX 2070 SUPER vs RTX 5060: 3.1x FP16 Gap, 12GB vs 8GB | GPUPerHour