GTX 1080 Ti vs RTX 2070 SUPER

PascalvsTuringUpdated 35 days ago

The GTX 1080 Ti claims victory for prevalent cloud use cases such as ML training and inference. It dominates with 11.3 TFLOPS FP16/FP32, 11 GB VRAM, and 484 GB/s bandwidth over the SUPER's 9.1 TFLOPS, 8 GB, and 448 GB/s. Availability at $0.60 per hour seals the edge against no live offers for the newer card.

GTX 1080 Ti from $0.30/hr

Specifications Compared

SpecGTX-1080RTX-2070
TDP180W175W
VRAM8-11 GB8 GB
CUDA Cores2,5602,304
Memory TypeGDDR5XGDDR6
ArchitecturePascalTuring
Form FactorsPCIePCIe
InterconnectNVLink
FP16 Performance8.9 TFLOPS7.5 TFLOPS
FP32 Performance8.9 TFLOPS7.5 TFLOPS
Memory Bandwidth320 GB/s448 GB/s

Performance Analysis

Raw compute power sets the GTX 1080 Ti apart: 11.3 TFLOPS FP32 exceeds the RTX 2070 SUPER's 9.1 TFLOPS by 24 percent, speeding FP32-dominant training loops and simulations. FP16 matches this gap at 11.3 TFLOPS versus 9.1 TFLOPS, enabling quicker half-precision passes in modern ML pipelines. The 484 GB/s bandwidth on the 1080 Ti outpaces 448 GB/s by 8 percent, sustaining higher throughput for memory-bound operations and permitting larger batch sizes in inference. Greater 11 GB VRAM versus 8 GB avoids out-of-memory errors for oversized models in fine-tuning. Although the SUPER consumes less power at 215 W against 250 W, Turing tensor cores accelerate specific matrix operations beyond base FP16 figures. Overall, Pascal edges general-purpose workloads, while Turing suits optimized AI inference.

Live Cloud Pricing

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

GTX 1080 Ti

ProviderGPU ModelVRAMHost SpecsRegionPriceStatusAction
LeaderGPU
LeaderGPU
4×NVIDIA GeForce GTX 1080
8GB VRAM
$0.30/GPU/hr
$1.20/hr total (4×)
Available
LeaderGPU
LeaderGPU
8×NVIDIA GeForce GTX 1080 Ti
11GB VRAM
$0.60/GPU/hr
$4.80/hr total (8×)
Available

Compare real-time pricing across 25+ providers

When to Choose the GTX 1080 Ti

Select the GTX 1080 Ti for memory-intensive or high-throughput compute tasks. Its 11 GB GDDR5X VRAM handles larger datasets than the 8 GB limit on the RTX 2070 SUPER, critical for LLM training or scientific simulations. Superior 11.3 TFLOPS FP32 and 484 GB/s bandwidth deliver faster iterations, and cloud pricing at $0.60 per hour provides immediate access without availability issues.

When to Choose the RTX 2070 SUPER

Choose the RTX 2070 SUPER for workloads benefiting from Turing advancements like tensor cores and ray tracing. Despite 9.1 TFLOPS FP32 trailing 11.3 TFLOPS, enhanced inference efficiency shines in Stable Diffusion or RT-enabled rendering. Lower 215 W TDP suits power-constrained environments, and GDDR6 supports future software optimized for 2019 architecture.

Use Cases

LLM Training
GTX 1080 Ti

GTX 1080 Ti's 11 GB VRAM and 11.3 TFLOPS FP16 handle larger models and batches better than RTX 2070 SUPER's 8 GB and 9.1 TFLOPS.

LLM Inference
Either

Base FP16 favors GTX 1080 Ti at 11.3 TFLOPS over 9.1 TFLOPS, but RTX 2070 SUPER tensor cores optimize specific inference graphs.

Fine-tuning
GTX 1080 Ti

11 GB VRAM on GTX 1080 Ti prevents memory limits during fine-tuning, paired with 484 GB/s bandwidth for efficient data flow versus 448 GB/s.

Stable Diffusion
RTX 2070 SUPER

RTX 2070 SUPER leverages Turing tensor cores for diffusion acceleration, despite lower 9.1 TFLOPS FP32 than 11.3 TFLOPS.

Scientific Computing
GTX 1080 Ti

GTX 1080 Ti's higher 11.3 TFLOPS FP32 and 484 GB/s bandwidth excel in compute-heavy simulations over RTX 2070 SUPER specs.

Frequently Asked Questions

Does the GTX 1080 Ti have more VRAM than the RTX 2070 SUPER?

The GTX 1080 Ti features 11 GB GDDR5X VRAM, exceeding the RTX 2070 SUPER's 8 GB GDDR6. This advantage aids memory-bound tasks like model training. Bandwidth also leads at 484 GB/s versus 448 GB/s.

Which GPU performs better in FP32 compute, GTX 1080 Ti or RTX 2070 SUPER?

GTX 1080 Ti achieves 11.3 TFLOPS FP32, surpassing RTX 2070 SUPER's 9.1 TFLOPS by 24 percent. FP16 follows suit at 11.3 TFLOPS versus 9.1 TFLOPS. This boosts training and simulations.

What are the cloud rental prices for these GPUs?

NVIDIA GeForce GTX 1080 Ti rents from $0.60 per hour average across live offers. RTX 2070 SUPER has no live offers currently. Pricing favors the 1080 Ti for availability.

Which GPU has lower power consumption?

RTX 2070 SUPER TDP is 215 W, lower than GTX 1080 Ti's 250 W. This improves efficiency in power-limited cloud instances. Both use PCIe form factors.

Is the RTX 2070 SUPER newer than GTX 1080 Ti?

RTX 2070 SUPER uses 2019 Turing architecture, postdating GTX 1080 Ti's 2017 Pascal. Turing adds tensor cores and NVLink. Pascal prioritizes raw 11.3 TFLOPS compute.

Which is better for AI training?

GTX 1080 Ti excels with 11 GB VRAM, 11.3 TFLOPS FP16, and 484 GB/s bandwidth for large-batch training. RTX 2070 SUPER trails in these metrics but offers tensor optimizations.

Which is cheaper to rent, the GTX 1080 or the RTX 2070?

Cloud rental prices for both the GTX 1080 and RTX 2070 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 GTX 1080 have compared to the RTX 2070?

The GTX 1080 has 8 to 11 GB of GDDR5X memory. The RTX 2070 has 8 GB of GDDR6 memory.

Can I find GTX 1080 and RTX 2070 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 GTX 1080 and the RTX 2070?

The GTX 1080 uses the Pascal architecture (2016) while the RTX 2070 uses Turing (2018). The GTX 1080 delivers 1.2x the FP16 throughput and 1.4x the memory bandwidth of the RTX 2070.

GTX 1080 Ti vs RTX 2070 SUPER: 11GB GDDR5X vs 8GB GDDR6 | GPUPerHour