Specifications Compared
| Spec | RTX-3080 | RTX-4070 |
|---|---|---|
| TDP | 320W | 200W |
| VRAM | 10-12 GB | 12 GB |
| CUDA Cores | 8,704 | 5,888 |
| Memory Type | GDDR6X | GDDR6X |
| Architecture | Ampere | Ada Lovelace |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| Tensor Cores | 272 | 184 |
| FP16 Performance | 29.8 TFLOPS | 29.1 TFLOPS |
| FP32 Performance | 29.8 TFLOPS | 29.1 TFLOPS |
| Memory Bandwidth | 760 GB/s | 504 GB/s |
Performance Analysis
Raw compute parity defines these GPUs: 34.1 TFLOPS FP16/FP32 on the RTX 3080 Ti nearly matches the RTX 4070 SUPER's 35.4 TFLOPS, implying similar throughput for general training and inference without tensor core dominance. The delta of 1.3 TFLOPS favors the RTX 4070 SUPER slightly in sustained FP32 workloads like scientific simulations. Memory bandwidth presents the key divergence: 912 GB/s on the RTX 3080 Ti supports larger batch sizes in LLM training, reducing overhead in data-heavy pipelines, whereas 504 GB/s on the RTX 4070 SUPER limits scalability for massive datasets. In real-world inference, Ada's architectural optimizations yield up to 20% better efficiency despite lower bandwidth, accelerating latency-sensitive deployments. Higher 350W TDP on the RTX 3080 Ti demands robust cooling and power infrastructure, contrasting the RTX 4070 SUPER's 220W for dense server configurations. These specs position the RTX 3080 Ti for bandwidth-bound tasks and the RTX 4070 SUPER for power-optimized environments.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
RTX 4070 SUPER
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 RunPod | NVIDIA GeForce RTX 4070 Ti 12GB VRAM | 12GB | 6 vCPU 30GB RAM | 🌍global | $0.50/GPU/hr |
When to Choose the RTX 3080 Ti
Opt for the RTX 3080 Ti in scenarios demanding high memory bandwidth, such as training large language models with batch sizes exceeding 32 on 12 GB VRAM. Its 912 GB/s throughput excels where data movement bottlenecks Ampere's mature ecosystem. Availability at $0.08/hr from cloud providers makes it ideal for cost-sensitive, high-volume compute runs.
When to Choose the RTX 4070 SUPER
Select the RTX 4070 SUPER for efficiency-driven deployments, leveraging its 220W TDP for multi-GPU setups without excessive power draw. Newer Ada Lovelace architecture enhances inference speeds in Stable Diffusion by 15-25% over Ampere equivalents. It suits edge computing or prolonged sessions where 35.4 TFLOPS at lower cost-per-watt prevails.
Use Cases
RTX 3080 Ti's 912 GB/s bandwidth handles larger batches critical for training on 12 GB VRAM. Higher throughput mitigates data stalls in extended sessions.
RTX 4070 SUPER's Ada architecture optimizes low-latency inference at 35.4 TFLOPS with 220W efficiency. It outperforms in real-time serving despite lower bandwidth.
Both offer 12 GB VRAM and matched FP16/FP32 around 34-35 TFLOPS for fine-tuning workloads. Choice hinges on power budget versus bandwidth needs.
RTX 4070 SUPER leverages Ada ray tracing and tensor cores for faster image generation. 220W TDP supports prolonged creative workflows efficiently.
RTX 3080 Ti's 912 GB/s bandwidth accelerates data-intensive simulations. 34.1 TFLOPS FP32 suits HPC tasks with ample cloud availability at $0.14/hr average.
Frequently Asked Questions
Which GPU has higher memory bandwidth: RTX 3080 Ti or RTX 4070 SUPER?▾
The RTX 3080 Ti offers 912 GB/s memory bandwidth, surpassing the RTX 4070 SUPER's 504 GB/s. This advantage aids large-batch training on 12 GB GDDR6X VRAM. Bandwidth impacts data throughput in AI pipelines.
How do the TFLOPS compare between RTX 3080 Ti and RTX 4070 SUPER?▾
RTX 3080 Ti provides 34.1 TFLOPS in FP16 and FP32, while RTX 4070 SUPER reaches 35.4 TFLOPS in both. The slight edge goes to the SUPER for compute-bound tasks. Architectural differences amplify real-world gains.
What is the TDP difference for RTX 3080 Ti vs RTX 4070 SUPER?▾
RTX 3080 Ti consumes 350W TDP, compared to RTX 4070 SUPER's 220W. Lower power on the SUPER enables denser deployments. This affects cooling and electricity costs in cloud use.
Is RTX 3080 Ti cheaper in the cloud than RTX 4070 SUPER?▾
RTX 3080 Ti starts at $0.08/hr (average $0.14/hr) across 4 offers, while RTX 4070 SUPER has no live offers. Cost favors the older Ampere GPU currently. Pricing fluctuates with availability.
Do both GPUs have the same VRAM?▾
Yes, both feature 12 GB GDDR6X VRAM. This equality supports similar model sizes in inference and training. Bandwidth differences affect utilization.
Which is newer: RTX 3080 Ti or RTX 4070 SUPER?▾
RTX 4070 SUPER uses 2024 Ada Lovelace architecture, postdating RTX 3080 Ti's 2021 Ampere. Newer design includes better AI accelerations. This influences feature support like DLSS 3.
Which is cheaper to rent, the RTX 3080 or the RTX 4070?▾
Cloud rental prices for both the RTX 3080 and RTX 4070 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 3080 have compared to the RTX 4070?▾
The RTX 3080 has 10 to 12 GB of GDDR6X memory. The RTX 4070 has 12 GB of GDDR6X memory.
Can I find RTX 3080 and RTX 4070 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 3080 and the RTX 4070?▾
The RTX 3080 uses the Ampere architecture (2020) while the RTX 4070 uses Ada Lovelace (2023). The RTX 3080 delivers 1.0x the FP16 throughput and 1.5x the memory bandwidth of the RTX 4070.