Specifications Compared
| Spec | GTX-1080 | RTX-3070 |
|---|---|---|
| TDP | 180W | 220W |
| VRAM | 8-11 GB | 8 GB |
| CUDA Cores | 2,560 | 5,888 |
| Memory Type | GDDR5X | GDDR6 |
| Architecture | Pascal | Ampere |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| FP16 Performance | 8.9 TFLOPS | 20.3 TFLOPS |
| FP32 Performance | 8.9 TFLOPS | 20.3 TFLOPS |
| Memory Bandwidth | 320 GB/s | 448 GB/s |
Performance Analysis
Raw compute power defines the core rivalry: RTX 3070 Ti achieves 21.8 TFLOPS in FP16 and FP32, nearly doubling GTX 1080 Ti's 11.3 TFLOPS and accelerating deep learning training by up to two times in FP16-heavy matrix multiplications. For inference, this translates to higher queries per second in production deployments, as Ampere's architecture optimizes sparse tensor operations absent in Pascal. Memory bandwidth impacts real-world scalability: RTX 3070 Ti's 608 GB/s enables larger batch sizes in training loops compared to 484 GB/s on GTX 1080 Ti, minimizing data loading bottlenecks in large language model fine-tuning or diffusion model generation. Higher bandwidth sustains throughput during high-resolution dataset processing. Power efficiency edges toward the newer card despite its 290W TDP versus 250W: Ampere delivers 21.8 TFLOPS at lower cost per TFLOPS when priced at $0.08 per hour, making it preferable for prolonged cloud sessions over the $0.60 per hour GTX 1080 Ti.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
GTX 1080 Ti
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 LeaderGPU | 4×NVIDIA GeForce GTX 1080 8GB VRAM | 8GB | 0 vCPU 64GB RAM 480GB Storage | Netherlands | $0.30/GPU/hr $1.20/hr total (4×) | Available | ||
LeaderGPU | 8×NVIDIA GeForce GTX 1080 Ti 11GB VRAM | 11GB | 0 vCPU 128GB RAM 480GB Storage | Netherlands | $0.60/GPU/hr $4.80/hr total (8×) | Available |
When to Choose the GTX 1080 Ti
Opt for the GTX 1080 Ti in memory-bound workloads exceeding 8 GB: its 11 GB GDDR5X VRAM accommodates larger models or datasets that surpass RTX 3070 Ti limits. This proves advantageous for legacy scientific simulations or older ML frameworks optimized for Pascal architecture. Power-constrained setups also favor it: 250W TDP consumes less energy than 290W, suiting environments with strict wattage caps despite higher $0.60 per hour pricing.
When to Choose the RTX 3070 Ti
The RTX 3070 Ti dominates modern AI pipelines: 21.8 TFLOPS FP16/FP32 outperforms 11.3 TFLOPS, speeding training and inference by nearly double. Its 608 GB/s bandwidth supports expansive batch sizes in LLM tasks. Exceptional value seals the choice: averaging $0.08 per hour across two offers versus $0.60 for GTX 1080 Ti, it maximizes TFLOPS per dollar in cloud deployments.
Use Cases
RTX 3070 Ti's 21.8 TFLOPS FP16 doubles GTX 1080 Ti's 11.3 TFLOPS for faster convergence. Higher 608 GB/s bandwidth handles large batches effectively.
Ampere architecture yields higher throughput at 21.8 TFLOPS versus 11.3 TFLOPS. Lower $0.08 per hour cost supports scalable serving.
Superior 608 GB/s bandwidth on RTX 3070 Ti enables bigger batches than 484 GB/s. 21.8 TFLOPS accelerates iterations over 11.3 TFLOPS.
RTX 3070 Ti leverages Ampere tensor cores implicitly via 21.8 TFLOPS for quicker image generation. Newer architecture optimizes diffusion pipelines.
GTX 1080 Ti's 11 GB VRAM suits memory-heavy simulations exceeding 8 GB. RTX 3070 Ti's 21.8 TFLOPS excels in FP32 compute at lower $0.08 per hour cost.
Frequently Asked Questions
Which has more VRAM, GTX 1080 Ti or RTX 3070 Ti?▾
GTX 1080 Ti features 11 GB GDDR5X VRAM, surpassing RTX 3070 Ti's 8 GB GDDR6X. This benefits workloads like large-model loading. RTX 3070 Ti counters with 608 GB/s bandwidth over 484 GB/s for faster access.
Is RTX 3070 Ti faster than GTX 1080 Ti?▾
Yes, RTX 3070 Ti delivers 21.8 TFLOPS FP32/FP16 versus 11.3 TFLOPS, roughly doubling performance in training and inference. Ampere architecture enhances AI-specific operations. Bandwidth of 608 GB/s further boosts data throughput over 484 GB/s.
What are the cloud rental prices for these GPUs?▾
GTX 1080 Ti rents from $0.60 per hour, averaging $0.60 across one offer. RTX 3070 Ti starts at $0.06 per hour, averaging $0.08 across two offers. This makes RTX 3070 Ti over seven times cheaper per hour.
How do their TDPs compare?▾
GTX 1080 Ti has a 250W TDP, lower than RTX 3070 Ti's 290W. This suits power-limited setups. Despite higher TDP, RTX 3070 Ti provides more performance per watt at 21.8 TFLOPS.
Which is better for AI training?▾
RTX 3070 Ti excels with 21.8 TFLOPS FP16 and 608 GB/s bandwidth, enabling larger batches and faster epochs than GTX 1080 Ti's 11.3 TFLOPS and 484 GB/s. Its $0.08 per hour pricing enhances affordability.
Pascal vs Ampere: key architecture differences?▾
Pascal in GTX 1080 Ti lacks tensor cores present in Ampere's RTX 3070 Ti, limiting AI acceleration. Ampere boosts FP16 efficiency to 21.8 TFLOPS from 11.3 TFLOPS. Memory tech upgrades to GDDR6X at 608 GB/s from GDDR5X at 484 GB/s.
Which is cheaper to rent, the GTX 1080 or the RTX 3070?▾
Cloud rental prices for both the GTX 1080 and RTX 3070 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 3070?▾
The GTX 1080 has 8 to 11 GB of GDDR5X memory. The RTX 3070 has 8 GB of GDDR6 memory.
Can I find GTX 1080 and RTX 3070 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 3070?▾
The GTX 1080 uses the Pascal architecture (2016) while the RTX 3070 uses Ampere (2020). The RTX 3070 delivers 2.3x the FP16 throughput and 1.4x the memory bandwidth of the GTX 1080.