RTX 2080 Ti vs RTX 5080

TuringvsBlackwellUpdated 35 days ago

The RTX 5080 emerges as the superior choice for most cloud GPU use cases, particularly AI and machine learning. Its 56.3 TFLOPS FP16/FP32 performance dwarfs the RTX 2080 Ti's 10.1 TFLOPS, while 960 GB/s bandwidth and 16 GB VRAM enable modern workloads infeasible on older hardware. Higher rental costs yield unmatched productivity gains.

RTX 2080 Ti from $0.13/hrRTX 5080 from $0.59/hr

Specifications Compared

SpecRTX-2080RTX-5080
TDP215W360W
VRAM8-11 GB16 GB
CUDA Cores2,94410,752
Memory TypeGDDR6GDDR7
ArchitectureTuringBlackwell
Form FactorsPCIePCIe
InterconnectNVLink
Tensor Cores368336
FP16 Performance10.1 TFLOPS56.3 TFLOPS
FP32 Performance10.1 TFLOPS56.3 TFLOPS
Memory Bandwidth616 GB/s960 GB/s

Performance Analysis

Compute performance marks the clearest divide: the RTX 5080 achieves 56.3 TFLOPS in FP16 and FP32, compared to 10.1 TFLOPS on the RTX 2080 Ti. This 5.6-fold increase accelerates machine learning training and inference tasks, reducing epoch times substantially for models leveraging half-precision or single-precision arithmetic.

Memory bandwidth of 960 GB/s on the RTX 5080 exceeds the RTX 2080 Ti's 616 GB/s by 56 percent, supporting larger batch sizes in training workflows and minimizing data transfer bottlenecks during inference. The RTX 5080's 16 GB GDDR7 VRAM handles bigger models than the 11 GB GDDR6 of its predecessor, enabling deployment of parameter-heavy LLMs without splitting across devices.

Power draw rises to 360 W for the RTX 5080 from 215 W on the RTX 2080 Ti, demanding robust cooling in cloud environments but aligning with its superior throughput for sustained high-load operations.

Live Cloud Pricing

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

RTX 2080 Ti

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

RTX 5080

ProviderGPU ModelVRAMHost SpecsRegionPriceStatusAction
RunPod
RunPod
NVIDIA GeForce RTX 5080
16GB VRAM
$0.59/GPU/hr

Compare real-time pricing across 25+ providers

When to Choose the RTX 2080 Ti

The RTX 2080 Ti suits budget-conscious users running lightweight AI inference or fine-tuning on smaller models. Its 10.1 TFLOPS FP32 performance and 11 GB VRAM suffice for Stable Diffusion tasks or basic scientific computing, with cloud rentals as low as $0.06 per hour. Lower 215 W TDP also fits power-sensitive deployments where cost trumps speed.

When to Choose the RTX 5080

Opt for the RTX 5080 in performance-critical scenarios like large-scale LLM training or high-throughput inference. Its 56.3 TFLOPS FP16 and 16 GB VRAM manage complex workloads efficiently, backed by 960 GB/s bandwidth for optimal batch processing. Despite $0.25 per hour starting pricing, it delivers value through 5.6 times faster compute.

Use Cases

LLM Training
RTX 5080

The RTX 5080's 56.3 TFLOPS FP16 outperforms the RTX 2080 Ti's 10.1 TFLOPS by 5.6 times, slashing training times for large language models. Its 16 GB VRAM supports bigger batches than the 11 GB limit.

LLM Inference
RTX 5080

With 960 GB/s bandwidth, the RTX 5080 handles high-query inference loads better than the RTX 2080 Ti's 616 GB/s. 56.3 TFLOPS FP32 ensures low-latency responses for production deployments.

Fine-tuning
Either

RTX 2080 Ti's 11 GB VRAM and 10.1 TFLOPS suffice for small-model fine-tuning at $0.06 per hour. RTX 5080 excels for larger datasets with 16 GB and 56.3 TFLOPS.

Stable Diffusion
RTX 2080 Ti

The RTX 2080 Ti's 10.1 TFLOPS FP16 meets image generation needs economically at average $0.11 per hour. RTX 5080 overkill unless scaling to high-resolution batches.

Scientific Computing
RTX 5080

RTX 5080's 56.3 TFLOPS FP32 accelerates simulations 5.6 times over RTX 2080 Ti's 10.1 TFLOPS. 360 W TDP supports intensive parallel computations.

Frequently Asked Questions

What is the performance difference between RTX 2080 Ti and RTX 5080?

The RTX 5080 offers 56.3 TFLOPS in FP16 and FP32, compared to 10.1 TFLOPS on the RTX 2080 Ti, a 5.6 times improvement. This boosts training and inference speeds significantly. Memory bandwidth reaches 960 GB/s on RTX 5080 versus 616 GB/s.

How much VRAM do these GPUs have?

RTX 2080 Ti provides 11 GB GDDR6 VRAM. RTX 5080 doubles capacity with 16 GB GDDR7. More VRAM on RTX 5080 accommodates larger AI models without issues.

What are the cloud rental prices?

RTX 2080 Ti starts at $0.06 per hour, averaging $0.11 per hour across offers. RTX 5080 begins at $0.25 per hour, averaging $0.38 per hour. Pricing reflects performance disparity.

Which has higher power consumption?

RTX 5080 draws 360 W TDP, higher than RTX 2080 Ti's 215 W. This supports greater compute but requires better cooling. Both use PCIe form factors.

Is RTX 5080 worth the upgrade from RTX 2080 Ti?

For demanding tasks, yes: 56.3 TFLOPS and 960 GB/s bandwidth justify it over 10.1 TFLOPS and 616 GB/s. Budget users stick with RTX 2080 Ti at lower costs.

What architectures do they use?

RTX 2080 Ti employs Turing from 2018 with NVLink interconnect. RTX 5080 uses Blackwell from 2025. Architectural advances drive RTX 5080's superior specs.

Which is cheaper to rent, the RTX 2080 or the RTX 5080?

Cloud rental prices for both the RTX 2080 and RTX 5080 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 5080?

The RTX 2080 has 8 to 11 GB of GDDR6 memory. The RTX 5080 has 16 GB of GDDR7 memory.

Can I find RTX 2080 and RTX 5080 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 5080?

The RTX 2080 uses the Turing architecture (2018) while the RTX 5080 uses Blackwell (2025). The RTX 5080 delivers 5.6x the FP16 throughput and 1.6x the memory bandwidth of the RTX 2080.

RTX 2080 Ti vs RTX 5080: 5.6x FP16 Gap, 16GB vs 11GB | GPUPerHour