GTX 1070 Ti vs RTX 3080 Ti

PascalvsAmpereUpdated 35 days ago

The RTX 3080 Ti emerges as the clear winner for most machine learning use cases. Its 34.1 TFLOPS FP32 performance outpaces the GTX 1070 Ti's 8.9 TFLOPS by 3.8 times, while 912 GB/s bandwidth enables larger batches than 256 GB/s. Cloud availability at $0.08 per hour seals superiority over unavailable legacy options.

Specifications Compared

SpecGTX-1070RTX-3080
TDP150W320W
VRAM8 GB10-12 GB
CUDA Cores1,9208,704
Memory TypeGDDR5GDDR6X
ArchitecturePascalAmpere
Form FactorsPCIePCIe
Interconnect
FP16 Performance6.5 TFLOPS29.8 TFLOPS
FP32 Performance6.5 TFLOPS29.8 TFLOPS
Memory Bandwidth256 GB/s760 GB/s

Performance Analysis

Compute power defines the core difference: the RTX 3080 Ti delivers 34.1 TFLOPS in FP32, surpassing the GTX 1070 Ti's 8.9 TFLOPS by 3.8 times. FP16 matches FP32 in both at these rates, indicating baseline floating-point capability without tensor core multipliers here. For machine learning training, this delta translates to roughly 3.8x faster iterations on the RTX 3080 Ti.

Memory bandwidth impacts workloads directly: 912 GB/s on the RTX 3080 Ti versus 256 GB/s on the GTX 1070 Ti allows 3.6x larger batch sizes before bottlenecks occur. In inference, 12 GB VRAM handles models exceeding 8 GB limits, preventing out-of-memory errors. Training large neural networks benefits most from combined compute and bandwidth superiority.

Power draw reflects efficiency gaps: the RTX 3080 Ti's 350 W TDP demands robust cooling, while the GTX 1070 Ti's 180 W suits modest systems. Real-world ML benchmarks align with specs, showing Ampere dominance in sustained loads.

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When to Choose the GTX 1070 Ti

The GTX 1070 Ti suits legacy desktop setups with 180 W TDP constraints. It handles light inference on models fitting 8 GB GDDR5 VRAM, where 256 GB/s bandwidth suffices for small batches. Compatibility with older Pascal-optimized codebases avoids migration costs in hobbyist or educational environments.

When to Choose the RTX 3080 Ti

The RTX 3080 Ti excels in demanding cloud workloads at $0.08 per hour entry pricing. Its 34.1 TFLOPS FP32 and 912 GB/s bandwidth accelerate training and inference on large models using 12 GB VRAM. Professional AI development favors this for scalability across 4 live offers averaging $0.14 per hour.

Use Cases

LLM Training
RTX 3080 Ti

RTX 3080 Ti's 34.1 TFLOPS FP32 and 912 GB/s bandwidth handle large-scale training far better than GTX 1070 Ti's 8.9 TFLOPS and 256 GB/s.

LLM Inference
RTX 3080 Ti

12 GB VRAM on RTX 3080 Ti supports bigger LLMs without swapping, unlike 8 GB on GTX 1070 Ti. Higher 34.1 TFLOPS ensures lower latency.

Fine-tuning
RTX 3080 Ti

Ampere's 912 GB/s bandwidth permits larger batches during fine-tuning, accelerating convergence over Pascal's 256 GB/s limit.

Stable Diffusion
RTX 3080 Ti

RTX 3080 Ti generates images 3.8x faster at 34.1 TFLOPS versus 8.9 TFLOPS, with 12 GB VRAM for high-resolution tasks.

Scientific Computing
RTX 3080 Ti

Superior 34.1 TFLOPS FP32 outperforms 8.9 TFLOPS for simulations; 912 GB/s bandwidth reduces data stalls in compute-intensive codes.

Frequently Asked Questions

Can the GTX 1070 Ti handle modern AI training?

The GTX 1070 Ti provides 8.9 TFLOPS FP32 and 8 GB VRAM, suitable for small models only. It struggles with batches limited by 256 GB/s bandwidth. Larger tasks require upgrades to Ampere GPUs.

What is the RTX 3080 Ti's cloud rental cost?

Cloud pricing for RTX 3080 Ti starts at $0.08 per hour, averaging $0.14 per hour across 4 offers. This delivers 34.1 TFLOPS FP32 access without hardware ownership.

How much faster is RTX 3080 Ti than GTX 1070 Ti?

RTX 3080 Ti offers 34.1 TFLOPS FP32, 3.8 times the GTX 1070 Ti's 8.9 TFLOPS. Bandwidth at 912 GB/s is 3.6x higher than 256 GB/s, boosting ML throughput.

Does GTX 1070 Ti have enough VRAM for LLMs?

8 GB GDDR5 limits GTX 1070 Ti to small LLMs under 7B parameters. RTX 3080 Ti's 12 GB GDDR6X supports larger models without quantization.

RTX 3080 Ti power consumption versus GTX 1070 Ti?

RTX 3080 Ti draws 350 W TDP, double the GTX 1070 Ti's 180 W. Higher power enables 34.1 TFLOPS but requires strong PSUs.

Is Pascal architecture viable for Stable Diffusion?

GTX 1070 Ti runs Stable Diffusion at 8.9 TFLOPS but slows on high-res due to 256 GB/s bandwidth. RTX 3080 Ti at 912 GB/s generates faster.

Which is cheaper to rent, the GTX 1070 or the RTX 3080?

Cloud rental prices for both the GTX 1070 and RTX 3080 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 1070 have compared to the RTX 3080?

The GTX 1070 has 8 GB of GDDR5 memory. The RTX 3080 has 10 to 12 GB of GDDR6X memory.

Can I find GTX 1070 and RTX 3080 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 1070 and the RTX 3080?

The GTX 1070 uses the Pascal architecture (2016) while the RTX 3080 uses Ampere (2020). The RTX 3080 delivers 4.6x the FP16 throughput and 3.0x the memory bandwidth of the GTX 1070.

GTX 1070 Ti vs RTX 3080 Ti: 4.6x FP16 Gap, 12GB vs 8GB | GPUPerHour