GTX 1080 vs RTX 5070 Ti

PascalvsBlackwellUpdated 35 days ago

The RTX 5070 Ti claims victory for prevalent cloud use cases such as LLM training and inference. It offers 40.6 TFLOPS versus 8.9 TFLOPS, 448 GB/s bandwidth over 320 GB/s, and 12 GB VRAM exceeding 8 to 11 GB, all at a lower $0.19 per hour average price compared to $0.30 per hour.

GTX 1080 from $0.30/hr

Specifications Compared

SpecGTX-1080RTX-5070
TDP180W250W
VRAM8-11 GB12 GB
CUDA Cores2,5606,144
Memory TypeGDDR5XGDDR7
ArchitecturePascalBlackwell
Form FactorsPCIePCIe
Interconnect
FP16 Performance8.9 TFLOPS40.6 TFLOPS
FP32 Performance8.9 TFLOPS40.6 TFLOPS
Memory Bandwidth320 GB/s448 GB/s

Performance Analysis

The RTX 5070 Ti's 40.6 TFLOPS in FP16 and FP32 outperforms the GTX 1080's 8.9 TFLOPS by a factor of 4.6, accelerating machine learning training cycles and inference latencies in half-precision workloads common to deep learning frameworks. This FP16/FP32 parity on both GPUs supports tensor core-like operations, but the RTX 5070 Ti handles larger models with greater speed.

Higher memory bandwidth of 448 GB/s on the RTX 5070 Ti versus 320 GB/s on the GTX 1080 enables larger batch sizes in training, minimizing data loading stalls for memory-bound tasks like Stable Diffusion or LLM fine-tuning. The 12 GB GDDR7 VRAM capacity exceeds the GTX 1080's 8 to 11 GB GDDR5X, reducing out-of-memory errors in inference serving.

Elevated TDP at 250W on the RTX 5070 Ti correlates with sustained high throughput, ideal for cloud bursts, while the GTX 1080's 180W suits constrained environments.

Live Cloud Pricing

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

GTX 1080

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

The GTX 1080 fits power-sensitive setups limited to 180W TDP. Its 8.9 TFLOPS suffices for legacy gaming emulation or basic inference on small models under 8 GB VRAM. At $0.30 per hour average, it provides value when workloads underutilize the RTX 5070 Ti's capabilities.

When to Choose the RTX 5070 Ti

The RTX 5070 Ti dominates modern AI pipelines needing 40.6 TFLOPS for rapid training iterations. Its 448 GB/s bandwidth and 12 GB VRAM manage large batch sizes in LLM inference without bottlenecks. Average cloud pricing of $0.19 per hour delivers superior performance per dollar.

Use Cases

LLM Training
RTX 5070 Ti

RTX 5070 Ti's 40.6 TFLOPS FP16 vastly outpaces GTX 1080's 8.9 TFLOPS, shortening training times. Higher 448 GB/s bandwidth supports bigger batches.

LLM Inference
RTX 5070 Ti

The 12 GB VRAM and 40.6 TFLOPS on RTX 5070 Ti handle large models efficiently. GTX 1080's 8-11 GB limits scale at 8.9 TFLOPS.

Fine-tuning
RTX 5070 Ti

RTX 5070 Ti accelerates fine-tuning with 4.6x FP32 performance at 40.6 TFLOPS. Bandwidth edge aids dataset processing.

Stable Diffusion
RTX 5070 Ti

RTX 5070 Ti's GDDR7 at 448 GB/s and 40.6 TFLOPS speed image generation. GTX 1080 bottlenecks at 320 GB/s.

Scientific Computing
RTX 5070 Ti

Blackwell architecture and 40.6 TFLOPS excel in simulations. GTX 1080's Pascal limits complex FP32 workloads.

Frequently Asked Questions

Which GPU has higher compute performance?

The RTX 5070 Ti achieves 40.6 TFLOPS in FP16 and FP32, compared to 8.9 TFLOPS on the GTX 1080. This yields about 4.6 times faster processing for AI tasks. Bandwidth at 448 GB/s further enhances throughput.

What are the VRAM and memory bandwidth differences?

GTX 1080 features 8-11 GB GDDR5X with 320 GB/s bandwidth. RTX 5070 Ti provides 12 GB GDDR7 at 448 GB/s. These specs impact model size and batch handling.

How do cloud prices compare?

GTX 1080 averages $0.30 per hour across one offer. RTX 5070 Ti averages $0.19 per hour across two offers. The newer GPU offers better value.

What are the TDP ratings?

GTX 1080 consumes 180W TDP. RTX 5070 Ti requires 250W. Lower TDP suits power-limited clouds for the older card.

Which architecture do they use?

GTX 1080 employs Pascal from 2016. RTX 5070 Ti uses Blackwell from 2025. Blackwell enables advanced AI features.

Is RTX 5070 Ti better for machine learning?

Yes, with 40.6 TFLOPS FP16 versus 8.9 TFLOPS and superior 12 GB VRAM. It excels in training and inference. GTX 1080 suits basic tasks only.

Which is cheaper to rent, the GTX 1080 or the RTX 5070?

Cloud rental prices for both the GTX 1080 and RTX 5070 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 5070?

The GTX 1080 has 8 to 11 GB of GDDR5X memory. The RTX 5070 has 12 GB of GDDR7 memory.

Can I find GTX 1080 and RTX 5070 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 5070?

The GTX 1080 uses the Pascal architecture (2016) while the RTX 5070 uses Blackwell (2025). The RTX 5070 delivers 4.6x the FP16 throughput and 1.4x the memory bandwidth of the GTX 1080.

GTX 1080 vs RTX 5070 Ti: 4.6x FP16 Gap, 12GB vs 11GB | GPUPerHour