RTX 2080 vs RTX 4070 Ti SUPER

TuringvsAda LovelaceUpdated 35 days ago

The RTX 4070 Ti SUPER emerges as the winner for prevalent ML tasks like training and inference. Its 2.88-fold FP16/FP32 advantage and 12 GB VRAM deliver outsized gains despite 143 percent higher average pricing, prioritizing performance in cloud environments.

RTX 2080 from $0.13/hrRTX 4070 Ti SUPER from $0.50/hr

Specifications Compared

SpecRTX-2080RTX-4070
TDP215W200W
VRAM8-11 GB12 GB
CUDA Cores2,9445,888
Memory TypeGDDR6GDDR6X
ArchitectureTuringAda Lovelace
Form FactorsPCIePCIe
InterconnectNVLink
Tensor Cores368184
FP16 Performance10.1 TFLOPS29.1 TFLOPS
FP32 Performance10.1 TFLOPS29.1 TFLOPS
Memory Bandwidth616 GB/s504 GB/s

Performance Analysis

Compute performance differs markedly: RTX 4070 Ti SUPER reaches 29.1 TFLOPS in FP16 and FP32, 2.88 times the 10.1 TFLOPS of RTX 2080. This boosts AI training speeds in mixed-precision FP16 workflows and FP32 inference or simulations, reducing epoch times proportionally.

Memory specs present a mixed picture. RTX 4070 Ti SUPER's 12 GB VRAM supports larger models or batch sizes than the 8 to 11 GB on RTX 2080, aiding memory-constrained tasks like LLM fine-tuning. However, RTX 2080's superior 616 GB/s bandwidth over 504 GB/s enables higher throughput in bandwidth-bound operations such as large convolutions.

Efficiency favors the newer GPU: at 200 W TDP versus 215 W, RTX 4070 Ti SUPER achieves 0.145 TFLOPS per watt compared to 0.047 TFLOPS per watt on RTX 2080. Ada Lovelace optimizations further enhance real-world ML throughput.

Live Cloud Pricing

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

RTX 2080

ProviderGPU ModelVRAMHost SpecsRegionPriceStatusAction
Vast.ai
Vast.ai
NVIDIA GeForce RTX 2080 Ti
11GB VRAM
$0.13/GPU/hr
Available

RTX 4070 Ti SUPER

ProviderGPU ModelVRAMHost SpecsRegionPriceStatusAction
RunPod
RunPod
NVIDIA GeForce RTX 4070 Ti
12GB VRAM
$0.50/GPU/hr

Compare real-time pricing across 25+ providers

When to Choose the RTX 2080

The RTX 2080 fits low-budget deployments. Its average $0.07 per hour cost undercuts RTX 4070 Ti SUPER's $0.17 per hour by 59 percent, ideal for prototyping or light inference. Superior 616 GB/s bandwidth excels in bandwidth-heavy tasks like certain scientific simulations where compute demands stay below 10.1 TFLOPS.

When to Choose the RTX 4070 Ti SUPER

Select RTX 4070 Ti SUPER for demanding AI workloads. The 29.1 TFLOPS compute rate accelerates training and inference 2.88 times over RTX 2080's 10.1 TFLOPS. Extra 12 GB VRAM handles larger batches or models effectively in modern applications.

Use Cases

LLM Training
RTX 4070 Ti SUPER

RTX 4070 Ti SUPER's 29.1 TFLOPS FP16 performance trains large models 2.88 times faster than RTX 2080's 10.1 TFLOPS.

LLM Inference
RTX 4070 Ti SUPER

The 29.1 TFLOPS FP32 and 12 GB VRAM enable higher throughput and larger batches versus RTX 2080's 10.1 TFLOPS and 8-11 GB.

Fine-tuning
RTX 4070 Ti SUPER

Ada Lovelace architecture with 29.1 TFLOPS speeds fine-tuning iterations significantly over Turing's 10.1 TFLOPS.

Stable Diffusion
RTX 4070 Ti SUPER

12 GB GDDR6X VRAM supports higher-resolution image generation without swapping, unlike RTX 2080's 8-11 GB GDDR6.

Scientific Computing
RTX 2080

RTX 2080's 616 GB/s bandwidth outperforms 504 GB/s on RTX 4070 Ti SUPER in memory-intensive computations.

Frequently Asked Questions

Which GPU has higher compute performance?

RTX 4070 Ti SUPER leads with 29.1 TFLOPS in FP16 and FP32 versus 10.1 TFLOPS on RTX 2080. This yields up to 2.88 times faster processing in AI tasks. Bandwidth favors RTX 2080 at 616 GB/s over 504 GB/s.

What are the cloud rental prices?

RTX 2080 starts at $0.05 per hour averaging $0.07 per hour across two offers. RTX 4070 Ti SUPER begins at $0.09 per hour averaging $0.17 per hour. The price gap reflects generational performance differences.

Which has more VRAM?

RTX 4070 Ti SUPER offers 12 GB GDDR6X VRAM. RTX 2080 provides 8 to 11 GB GDDR6. More VRAM on the newer GPU aids larger ML models.

How do power draws compare?

RTX 4070 Ti SUPER has a 200 W TDP, lower than RTX 2080's 215 W. This contributes to 0.145 TFLOPS per watt efficiency versus 0.047 TFLOPS per watt. Lower TDP suits dense cloud deployments.

What architectures do they use?

RTX 2080 runs Turing from 2018 with NVLink support. RTX 4070 Ti SUPER uses Ada Lovelace from 2023. The newer architecture includes advanced RT and tensor cores.

Does either support NVLink?

RTX 2080 includes NVLink interconnect for multi-GPU scaling. RTX 4070 Ti SUPER lacks a listed interconnect. NVLink benefits RTX 2080 in parallel workloads.

Which is cheaper to rent, the RTX 2080 or the RTX 4070?

Cloud rental prices for both the RTX 2080 and RTX 4070 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 2080 have compared to the RTX 4070?

The RTX 2080 has 8 to 11 GB of GDDR6 memory. The RTX 4070 has 12 GB of GDDR6X memory.

Can I find RTX 2080 and RTX 4070 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 2080 and the RTX 4070?

The RTX 2080 uses the Turing architecture (2018) while the RTX 4070 uses Ada Lovelace (2023). The RTX 4070 delivers 2.9x the FP16 throughput and 1.2x the memory bandwidth of the RTX 2080.

RTX 2080 vs RTX 4070 Ti SUPER: 11GB vs 12GB | GPUPerHour