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
Compute performance favors the RTX 3070 decisively: its 20.3 TFLOPS in FP32 doubles the GTX 1080 Ti's 11.3 TFLOPS. This disparity accelerates neural network training cycles and inference queries, often reducing completion times by nearly half for FP32-dominant operations.
Both GPUs maintain identical FP16 and FP32 rates at 11.3 TFLOPS and 20.3 TFLOPS respectively, indicating reliance on standard CUDA cores without listed tensor core boosts. For mixed-precision training, the RTX 3070 still prevails through higher overall throughput, enabling more iterations per hour.
Memory bandwidth reveals a close contest: GTX 1080 Ti achieves 484 GB/s versus RTX 3070's 448 GB/s. Higher bandwidth on the Pascal card supports slightly larger batch sizes in memory-bound scenarios, though Ampere's architectural improvements typically offset this for modern inference and fine-tuning.
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
The GTX 1080 Ti excels in VRAM-intensive applications: 11 GB GDDR5X surpasses RTX 3070's 8 GB, fitting larger models or datasets without out-of-memory errors. Its 484 GB/s bandwidth aids high-throughput data movement for scientific simulations requiring sustained memory access.
Legacy software tuned for Pascal architecture selects it to bypass porting efforts, despite $0.60/hr average pricing across limited cloud availability.
When to Choose the RTX 3070
The RTX 3070 dominates general-purpose AI tasks: 20.3 TFLOPS FP32 performance outpaces GTX 1080 Ti's 11.3 TFLOPS, yielding faster training and inference. Lower 220 W TDP minimizes energy overhead in extended cloud runs.
At $0.04/hr starting price averaging $0.09/hr over 4 providers, it maximizes performance per dollar for budget-conscious users in modern Ampere-optimized frameworks.
Use Cases
RTX 3070's 20.3 TFLOPS FP32 doubles GTX 1080 Ti's 11.3 TFLOPS, enabling quicker convergence on large language models. Higher throughput supports extensive training epochs within budget constraints.
The 20.3 TFLOPS on RTX 3070 reduces inference latency compared to 11.3 TFLOPS on GTX 1080 Ti. Cost efficiency at $0.09/hr average favors scalable serving.
RTX 3070 accelerates fine-tuning with 20.3 TFLOPS versus 11.3 TFLOPS, handling parameter updates faster. Ampere optimizations enhance efficiency over Pascal.
RTX 3070's superior 20.3 TFLOPS and modern architecture outperform GTX 1080 Ti's 11.3 TFLOPS for image generation pipelines. Lower pricing supports iterative experimentation.
GTX 1080 Ti's 11 GB VRAM and 484 GB/s bandwidth handle memory-heavy simulations better than RTX 3070's 8 GB and 448 GB/s. It suits specialized HPC codes.
Frequently Asked Questions
Which GPU has higher compute performance?▾
RTX 3070 leads with 20.3 TFLOPS in FP32 and FP16, exceeding GTX 1080 Ti's 11.3 TFLOPS by 79 percent. This boosts training and inference speeds significantly. Bandwidth remains competitive at 448 GB/s versus 484 GB/s.
What are the VRAM differences?▾
GTX 1080 Ti offers 11 GB GDDR5X, providing more capacity than RTX 3070's 8 GB GDDR6. Larger VRAM aids bigger batch sizes or complex models. RTX 3070 compensates with faster architecture.
How do cloud prices compare?▾
GTX 1080 Ti rents from $0.60/hr at average $0.60/hr across 1 offer. RTX 3070 starts at $0.04/hr averaging $0.09/hr over 4 offers. This yields over six times better value for RTX 3070.
What are the TDP ratings?▾
GTX 1080 Ti consumes 250 W TDP, higher than RTX 3070's 220 W. Lower power on RTX 3070 cuts operational costs in cloud. Both use PCIe form factors.
Which is better for machine learning training?▾
RTX 3070 excels due to 20.3 TFLOPS versus 11.3 TFLOPS on GTX 1080 Ti. Ampere architecture from 2020 supports advanced frameworks better than Pascal 2016. Pricing favors RTX 3070 heavily.
Does memory bandwidth differ much?▾
GTX 1080 Ti reaches 484 GB/s, slightly above RTX 3070's 448 GB/s. This edge helps memory-bound tasks on the older GPU. Overall performance tilts to RTX 3070.
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.