RTX 2070 SUPER vs RTX 3080 Ti

TuringvsAmpereUpdated 35 days ago

The RTX 3080 Ti emerges as the superior choice for prevalent cloud workloads like AI training and inference. Its 34 TFLOPS compute, 12 GB VRAM, and 912 GB/s bandwidth deliver over 3x the capability of the RTX 2070 SUPER's 9 TFLOPS, 8 GB, and 448 GB/s, outweighing higher 350 W power needs for professional results.

Specifications Compared

SpecRTX-2070RTX-3080
TDP175W320W
VRAM8 GB10-12 GB
CUDA Cores2,3048,704
Memory TypeGDDR6GDDR6X
ArchitectureTuringAmpere
Form FactorsPCIePCIe
InterconnectNVLink
Tensor Cores288272
FP16 Performance7.5 TFLOPS29.8 TFLOPS
FP32 Performance7.5 TFLOPS29.8 TFLOPS
Memory Bandwidth448 GB/s760 GB/s

Performance Analysis

Performance differences stem from architectural evolution: the RTX 3080 Ti achieves 34 TFLOPS in FP16 and FP32, compared to the RTX 2070 SUPER's 9 TFLOPS, enabling 3.8 times faster matrix operations central to deep learning. This gap accelerates neural network training epochs and reduces inference latency in production deployments.

Memory specifications further favor the RTX 3080 Ti, with 912 GB/s bandwidth versus 448 GB/s allowing larger batch sizes without bottlenecks. The 12 GB GDDR6X VRAM supports models exceeding 8 GB limits of the RTX 2070 SUPER, minimizing out-of-memory errors during fine-tuning or inference on complex datasets.

Power demands reflect capability: 350 W TDP for RTX 3080 Ti sustains higher clocks under load, while 215 W suits lighter tasks. Overall, these specs position Ampere for demanding AI pipelines where Turing falls short on scale.

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When to Choose the RTX 2070 SUPER

The RTX 2070 SUPER fits scenarios prioritizing low power and cost efficiency. Its 215 W TDP uses less than two-thirds the energy of the 350 W RTX 3080 Ti, ideal for edge deployments or local rigs with limited cooling. With 8 GB VRAM sufficient for small models, it handles basic inference or prototyping absent cloud availability.

When to Choose the RTX 3080 Ti

Opt for the RTX 3080 Ti in high-throughput environments requiring raw power. The 34 TFLOPS FP16/FP32 performance crushes the 2070 SUPER's 9 TFLOPS for LLM training, while 912 GB/s bandwidth supports massive batches. Cloud pricing from $0.08 per hour enables scalable access without upfront hardware costs.

Use Cases

LLM Training
RTX 3080 Ti

RTX 3080 Ti's 34 TFLOPS FP16 and 12 GB VRAM manage large language models efficiently, unlike RTX 2070 SUPER's 9 TFLOPS and 8 GB which limit scale.

LLM Inference
RTX 3080 Ti

Higher 912 GB/s bandwidth on RTX 3080 Ti supports high-concurrency requests with low latency; 2070 SUPER's 448 GB/s bottlenecks at volume.

Fine-tuning
Either

RTX 2070 SUPER's 8 GB VRAM handles modest datasets at 9 TFLOPS; RTX 3080 Ti's 12 GB excels for bigger adapters but at higher power.

Stable Diffusion
RTX 3080 Ti

RTX 3080 Ti generates images 3.8x faster via 34 TFLOPS and 12 GB VRAM for high-res outputs; 2070 SUPER struggles with VRAM limits.

Scientific Computing
RTX 3080 Ti

Ampere's 34 TFLOPS FP32 outperforms Turing's 9 TFLOPS in simulations; 912 GB/s bandwidth accelerates data-heavy HPC tasks.

Frequently Asked Questions

What is the TFLOPS difference between RTX 2070 SUPER and RTX 3080 Ti?

The RTX 2070 SUPER delivers 9 TFLOPS in FP16 and FP32. The RTX 3080 Ti provides 34 TFLOPS in both, a 3.8-fold increase for compute-intensive tasks. This gap significantly boosts machine learning performance.

How much VRAM do RTX 2070 SUPER and RTX 3080 Ti have?

RTX 2070 SUPER features 8 GB GDDR6 VRAM. RTX 3080 Ti doubles capacity to 12 GB GDDR6X. More VRAM on the Ti variant accommodates larger AI models without issues.

What are the memory bandwidth specs for these GPUs?

RTX 2070 SUPER offers 448 GB/s bandwidth. RTX 3080 Ti reaches 912 GB/s. Higher bandwidth enables larger training batches and faster data transfers.

What are the TDP ratings of RTX 2070 SUPER vs RTX 3080 Ti?

RTX 2070 SUPER has a 215 W TDP for efficient use. RTX 3080 Ti requires 350 W to sustain peak performance. Choose based on power infrastructure.

Is cloud pricing available for RTX 3080 Ti?

RTX 3080 Ti clouds start at $0.08 per hour, averaging $0.14 per hour across 4 offers. No live offers exist for RTX 2070 SUPER. This makes Ti more accessible for rentals.

Which GPU has the newer architecture?

RTX 2070 SUPER uses 2019 Turing architecture. RTX 3080 Ti employs 2021 Ampere with superior efficiency. Ampere yields better tensor core performance for AI.

Which is cheaper to rent, the RTX 2070 or the RTX 3080?

Cloud rental prices for both the RTX 2070 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 2070 have compared to the RTX 3080?

The RTX 2070 has 8 GB of GDDR6 memory. The RTX 3080 has 10 to 12 GB of GDDR6X memory.

Can I find RTX 2070 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 2070 and the RTX 3080?

The RTX 2070 uses the Turing architecture (2018) while the RTX 3080 uses Ampere (2020). The RTX 3080 delivers 4.0x the FP16 throughput and 1.7x the memory bandwidth of the RTX 2070.

RTX 2070 SUPER vs RTX 3080 Ti: 8GB vs 12GB | GPUPerHour