GTX 1080 Ti vs RTX 2060 SUPER

PascalvsTuringUpdated 35 days ago

The GTX 1080 Ti emerges as the winner for most AI training and compute use cases due to its 11.3 TFLOPS FP32/FP16, 11 GB VRAM, and 484 GB/s bandwidth outperforming the RTX 2060 SUPER's 7.2 TFLOPS, 8 GB, and 448 GB/s. Immediate $0.60 per hour availability seals its edge over the unpriced alternative.

GTX 1080 Ti from $0.30/hr

Specifications Compared

SpecGTX-1080RTX-2060
TDP180W160W
VRAM8-11 GB6-12 GB
CUDA Cores2,5601,920
Memory TypeGDDR5XGDDR6
ArchitecturePascalTuring
Form FactorsPCIePCIe
Interconnect
FP16 Performance8.9 TFLOPS6.5 TFLOPS
FP32 Performance8.9 TFLOPS6.5 TFLOPS
Memory Bandwidth320 GB/s336 GB/s

Performance Analysis

The GTX 1080 Ti's superior 11.3 TFLOPS FP32 performance enables faster matrix multiplications in training workloads compared to the RTX 2060 SUPER's 7.2 TFLOPS. FP16 equivalence at 11.3 TFLOPS versus 7.2 TFLOPS translates to quicker half-precision inference on the GTX 1080 Ti, benefiting deep learning pipelines without tensor core reliance.

Higher memory bandwidth of 484 GB/s on the GTX 1080 Ti supports larger batch sizes in memory-bound tasks than the 448 GB/s on the RTX 2060 SUPER. The 11 GB VRAM capacity accommodates bigger models during training, reducing swapping compared to 8 GB on the RTX 2060 SUPER.

Turing architecture on the RTX 2060 SUPER introduces ray tracing and tensor cores absent in Pascal, potentially accelerating specific inference with DL acceleration beyond raw FP16 figures. Lower 175 W TDP aids dense deployments, contrasting the GTX 1080 Ti's 250 W draw.

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

The GTX 1080 Ti excels in VRAM-intensive scenarios: its 11 GB GDDR5X handles large language models during training where 8 GB on the RTX 2060 SUPER falls short. Higher 11.3 TFLOPS FP32 performance accelerates scientific simulations requiring raw compute over specialized features.

Availability at $0.60 per hour makes the GTX 1080 Ti preferable for cost-effective, high-throughput cloud jobs without live alternatives for the RTX 2060 SUPER.

When to Choose the RTX 2060 SUPER

The RTX 2060 SUPER suits power-constrained environments: its 175 W TDP enables more instances per server than the GTX 1080 Ti's 250 W. Newer Turing architecture supports tensor core-enhanced inference for diffusion models, leveraging GDDR6 efficiency.

Users prioritizing future-proofing select the RTX 2060 SUPER for workloads benefiting from ray tracing or mixed-precision acceleration despite no current cloud pricing.

Use Cases

LLM Training
GTX 1080 Ti

GTX 1080 Ti's 11 GB VRAM and 11.3 TFLOPS FP32 support larger batches and faster training than RTX 2060 SUPER's 8 GB and 7.2 TFLOPS.

LLM Inference
Either

RTX 2060 SUPER's Turing tensor cores aid low-latency inference, but GTX 1080 Ti's higher 11.3 TFLOPS FP16 handles high-throughput needs.

Fine-tuning
GTX 1080 Ti

11 GB VRAM on GTX 1080 Ti fits bigger datasets for fine-tuning, with 484 GB/s bandwidth enabling efficient data flow over RTX 2060 SUPER.

Stable Diffusion
RTX 2060 SUPER

RTX 2060 SUPER's Turing architecture accelerates diffusion via tensor cores, outperforming Pascal despite lower 7.2 TFLOPS raw compute.

Scientific Computing
GTX 1080 Ti

GTX 1080 Ti's 11.3 TFLOPS FP32 and 250 W TDP deliver superior throughput for simulations compared to RTX 2060 SUPER's 7.2 TFLOPS.

Frequently Asked Questions

Which GPU has more VRAM: GTX 1080 Ti or RTX 2060 SUPER?

The GTX 1080 Ti offers 11 GB GDDR5X VRAM. The RTX 2060 SUPER provides 8 GB GDDR6. This makes the GTX 1080 Ti better for memory-heavy tasks.

What is the FP32 performance difference?

GTX 1080 Ti delivers 11.3 TFLOPS FP32. RTX 2060 SUPER achieves 7.2 TFLOPS FP32. The GTX 1080 Ti processes computations 57 percent faster.

How do memory bandwidths compare?

GTX 1080 Ti has 484 GB/s bandwidth. RTX 2060 SUPER reaches 448 GB/s. Higher bandwidth on GTX 1080 Ti supports larger batch sizes.

What are the TDPs of these GPUs?

GTX 1080 Ti consumes 250 W TDP. RTX 2060 SUPER uses 175 W TDP. Lower power on RTX 2060 SUPER suits dense cloud deployments.

Is there cloud pricing for these GPUs?

GTX 1080 Ti starts at $0.60 per hour average across one offer. RTX 2060 SUPER has no live offers. GTX 1080 Ti provides immediate availability.

Which is newer: GTX 1080 Ti or RTX 2060 SUPER?

RTX 2060 SUPER uses 2019 Turing architecture. GTX 1080 Ti relies on 2017 Pascal. Turing adds tensor and RT cores for modern workloads.

Which is cheaper to rent, the GTX 1080 or the RTX 2060?

Cloud rental prices for both the GTX 1080 and RTX 2060 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 2060?

The GTX 1080 has 8 to 11 GB of GDDR5X memory. The RTX 2060 has 6 to 12 GB of GDDR6 memory.

Can I find GTX 1080 and RTX 2060 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 2060?

The GTX 1080 uses the Pascal architecture (2016) while the RTX 2060 uses Turing (2019). The GTX 1080 delivers 1.4x the FP16 throughput and 1.1x the memory bandwidth of the RTX 2060.

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