GPU comparison

RTX 5070 Ti vs RTX 5080

Specifications and current cloud pricing, side by side.

BlackwellvsBlackwellUpdated 31 days ago

This variant comparison is part of the RTX 5070 vs RTX 5080 family comparison.

The RTX 5080 wins for the most common use case of high performance computing because its 112.6 TFLOPS dense FP16 exceeds the 61.7 TFLOPS of the RTX 5070 Ti by a substantial margin while sharing the same 16 GB GDDR7 memory capacity.

RTX 5070 Ti listed from $0.17/GPU/hrRTX 5080 listed from $0.59/GPU/hr

Specifications Compared

SpecRTX 5070 TiRTX 5080
TDP250W360W
VRAM16 GB16 GB
CUDA Cores6,14410,752
FP4 (dense)493.9 TFLOPS900.4 TFLOPS
FP8 (dense)123.5 TFLOPS225.1 TFLOPS
Memory TypeGDDR7GDDR7
ArchitectureBlackwellBlackwell
FP16 (dense)61.7 TFLOPS112.6 TFLOPS
Form FactorsPCIePCIe
INT8 (dense)246.9 TOPS450.2 TOPS
InterconnectPCIe 5.0PCIe 5.0
Tensor Cores192336
FP32 Performance30.9 TFLOPS56.3 TFLOPS
Memory Bandwidth672 GB/s960 GB/s
FP4 (with sparsity)987.8 TFLOPS1,801 TFLOPS
FP8 (with sparsity)246.9 TFLOPS450.2 TFLOPS
FP16 (with sparsity)123.5 TFLOPS225.1 TFLOPS
INT8 (with sparsity)493.9 TOPS900.4 TOPS

Performance Analysis

The FP16 dense performance of 61.7 TFLOPS on the RTX 5070 Ti contrasts with 112.6 TFLOPS on the RTX 5080, which indicates that the RTX 5080 can process twice the floating point operations in the same time for dense computations. The FP32 figure of 30.9 TFLOPS for the RTX 5070 Ti and 56.3 TFLOPS for the RTX 5080 further shows this performance gap in single precision workloads. Memory bandwidth at 672 GB/s versus 960 GB/s affects how large batch sizes can be sustained during training or inference without memory bottlenecks. Sparse FP16 performance reaches 123.5 TFLOPS for the RTX 5070 Ti and 225.1 TFLOPS for the RTX 5080, maintaining the same ratio as the dense figures. These differences translate to faster model training times and higher throughput in inference scenarios on the higher specification GPU when sparsity is utilized.

Current On-Demand Offers

Cheapest secure on-demand offer per provider that is reported in stock right now, per GPU per hour; multi-GPU instances show the whole-instance price alongside. Deploy opens the DeployGPU console for providers on the platform, otherwise the provider's own site. Stock is rechecked every minute.

RTX 5070 Ti

RTX 5070 Ti is not offered on-demand by any provider we track right now. See the RTX 5070 Ti rental page for last-seen listed prices and a price alert.

RTX 5080

RTX 5080 is not offered on-demand by any provider we track right now. See the RTX 5080 rental page for last-seen listed prices and a price alert.

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When to Choose the RTX 5070 Ti

The RTX 5070 Ti suits scenarios where power efficiency matters more than peak performance, such as in systems with limited cooling capacity that still require 16 GB GDDR7 memory. Its 250W TDP allows operation in denser server configurations while delivering FP8 dense throughput of 123.5 TFLOPS.

When to Choose the RTX 5080

Its higher 360W TDP supports sustained operation at FP4 dense performance of 900.4 TFLOPS.

Use Cases

LLM Training
RTX 5080

The RTX 5080 provides 112.6 TFLOPS dense FP16 compared to 61.7 TFLOPS on the RTX 5070 Ti, enabling larger effective batch sizes with 960 GB/s bandwidth.

LLM Inference
RTX 5080

The RTX 5080 delivers 225.1 TFLOPS sparse FP16 and 450.2 TOPS dense INT8, supporting higher tokens per second than the 123.5 TFLOPS and 246.9 TOPS of the RTX 5070 Ti.

Fine-tuning
RTX 5080

The RTX 5080 reaches 56.3 TFLOPS FP32 and 112.6 TFLOPS dense FP16, which accelerates gradient computations over the 30.9 TFLOPS and 61.7 TFLOPS of the RTX 5070 Ti.

Stable Diffusion
Either

Scientific Computing
RTX 5080

The RTX 5080 supplies 56.3 TFLOPS FP32 and 900.4 TFLOPS dense FP4, which exceed the 30.9 TFLOPS and 493.9 TFLOPS of the RTX 5070 Ti for precision sensitive simulations.

Frequently Asked Questions

How does the TDP differ between the RTX 5070 Ti and RTX 5080?▾

The RTX 5070 Ti operates at a 250W TDP while the RTX 5080 requires a 360W TDP, with both figures applying across their respective families.

What is the FP16 dense performance of each GPU?▾

The RTX 5070 Ti achieves 61.7 TFLOPS dense FP16 and the RTX 5080 achieves 112.6 TFLOPS dense FP16, with both values representing family wide specifications.

How does memory bandwidth compare between these two GPUs?▾

Memory bandwidth measures 672 GB/s for the RTX 5070 Ti family and 960 GB/s for the RTX 5080 family, influencing batch size capacity in both cases.

What INT8 performance figures apply to these GPUs?▾

The RTX 5070 Ti reaches 246.9 TOPS dense INT8 while the RTX 5080 reaches 450.2 TOPS dense INT8, with sparsity doubling each value.

Which is cheaper to rent, the RTX 5070 Ti or the RTX 5080?▾

Cloud rental prices for both the RTX 5070 Ti 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 5070 Ti have compared to the RTX 5080?▾

The RTX 5070 Ti has 16 GB of GDDR7 memory. The RTX 5080 has 16 GB of GDDR7 memory.

Can I find RTX 5070 Ti 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 5070 Ti and the RTX 5080?▾

The RTX 5070 Ti uses the Blackwell architecture (2025) while the RTX 5080 uses Blackwell (2025). The RTX 5080 delivers 1.8x the dense FP16 throughput (112.6 vs 61.7 TFLOPS, both without sparsity) and 1.4x the memory bandwidth of the RTX 5070 Ti.

Rent these GPUs

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Related comparisons

How this page is made

  • Specifications come from the NVIDIA, AMD and Intel datasheets for the RTX 5070 Ti and the RTX 5080. Dense and sparse throughput are listed separately.
  • Prices and availability are live: every offer shown is an in-stock, on-demand listing from a provider we track, rechecked every minute.
  • The written comparison (overview, performance notes, when to choose each card, verdict, use cases and FAQ) was drafted with an AI model from the specification table above and passed an automated check that rejects any figure not in that table. It was last generated on . It contains no prices; those are always read live.
  • Read how we collect the data, or report an error on this page.

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