Specifications Compared
| Spec | RTX-2080 | RTX-3070 |
|---|---|---|
| TDP | 215W | 220W |
| VRAM | 8-11 GB | 8 GB |
| CUDA Cores | 2,944 | 5,888 |
| Memory Type | GDDR6 | GDDR6 |
| Architecture | Turing | Ampere |
| Form Factors | PCIe | PCIe |
| Interconnect | NVLink | |
| Tensor Cores | 368 | 184 |
| FP16 Performance | 10.1 TFLOPS | 20.3 TFLOPS |
| FP32 Performance | 10.1 TFLOPS | 20.3 TFLOPS |
| Memory Bandwidth | 616 GB/s | 448 GB/s |
Performance Analysis
The RTX 3070's FP16 and FP32 performance of 20.3 TFLOPS exceeds the RTX 2080's 10.1 TFLOPS by exactly double, accelerating machine learning training and inference tasks significantly. Training large models benefits from this compute boost, reducing epochs by up to 50 percent in FP16-heavy workflows. Inference latency drops similarly for batch processing in deployment scenarios.
Memory bandwidth presents a key divergence: the RTX 2080 achieves 616 GB/s, surpassing the RTX 3070's 448 GB/s by 37 percent. This advantage supports larger batch sizes in memory-bound operations, minimizing data transfer bottlenecks during training. The RTX 3070 compensates with Ampere optimizations for better tensor core utilization.
VRAM capacities align closely at 8 GB base, with RTX 2080 variants up to 11 GB enabling marginally larger models. TDP differences of 215W versus 220W prove negligible for cloud scaling. Overall, compute-bound workloads favor the RTX 3070, while bandwidth-intensive ones lean toward the RTX 2080.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
RTX 2080
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Vast.ai | NVIDIA GeForce RTX 2080 Ti 11GB VRAM | 11GB | 32 vCPU 63GB RAM 1273GB Storage | Maryland | $0.13/GPU/hr | Available |
When to Choose the RTX 2080
Opt for the RTX 2080 in scenarios demanding high memory bandwidth of 616 GB/s, such as processing large batch sizes in scientific simulations or data-heavy fine-tuning. Its NVLink interconnect facilitates efficient multi-GPU communication, ideal for distributed training across multiple instances. Cloud pricing from $0.05/hr suits prolonged memory-bound runs where the 37 percent bandwidth edge over 448 GB/s offsets lower compute.
When to Choose the RTX 3070
The RTX 3070 excels in compute-intensive tasks leveraging its 20.3 TFLOPS FP16 and FP32 rates, doubling the RTX 2080's 10.1 TFLOPS for faster LLM training and inference. Lower cloud pricing from $0.04/hr and average $0.08/hr across 6 offers make it preferable for budget-sensitive users. Ampere architecture enhancements optimize modern ML frameworks without NVLink dependency.
Use Cases
The RTX 3070's 20.3 TFLOPS FP16 performance doubles the RTX 2080's 10.1 TFLOPS, speeding up training epochs. Lower pricing from $0.04/hr enhances cost efficiency for large models.
Double FP32 throughput at 20.3 TFLOPS on the RTX 3070 reduces latency versus 10.1 TFLOPS on the RTX 2080. Average $0.08/hr pricing supports high-volume deployments.
Ampere's 20.3 TFLOPS excels in iterative fine-tuning loops over Turing's 10.1 TFLOPS. Cheaper $0.04/hr starting rate fits frequent experiments.
Both handle 8 GB VRAM needs, but RTX 3070's higher flops accelerate generation, while RTX 2080's 616 GB/s bandwidth aids batching. Pricing parity decides.
RTX 2080's 616 GB/s bandwidth outperforms 448 GB/s for memory-intensive simulations. NVLink supports multi-GPU scaling effectively.
Frequently Asked Questions
Which GPU has higher compute performance?▾
The RTX 3070 delivers 20.3 TFLOPS in FP16 and FP32, exactly double the RTX 2080's 10.1 TFLOPS. This boosts ML training and inference speeds. Bandwidth remains higher on RTX 2080 at 616 GB/s.
How do VRAM amounts compare?▾
RTX 2080 offers 8-11 GB GDDR6, while RTX 3070 provides 8 GB GDDR6. The range suits varied model sizes on RTX 2080. Both handle standard ML tasks adequately.
What are the cloud rental prices?▾
RTX 3070 starts at $0.04/hr with $0.08/hr average across 6 offers; RTX 2080 at $0.05/hr and $0.09/hr average across 6. The RTX 3070 offers better value. Prices fluctuate in real-time.
Does RTX 2080 support NVLink?▾
Yes, RTX 2080 includes NVLink for multi-GPU interconnects, absent on RTX 3070. This aids distributed workloads. PCIe form factor is common to both.
Which has lower power consumption?▾
RTX 2080 draws 215W TDP versus RTX 3070's 220W. The difference is minimal for cloud use. Both scale well in instances.
Is RTX 3070 newer architecture?▾
RTX 3070 uses Ampere from 2020, succeeding RTX 2080's Turing from 2018. Ampere doubles flops to 20.3 TFLOPS. This improves tensor core efficiency.
Which is cheaper to rent, the RTX 2080 or the RTX 3070?▾
Cloud rental prices for both the RTX 2080 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 RTX 2080 have compared to the RTX 3070?▾
The RTX 2080 has 8 to 11 GB of GDDR6 memory. The RTX 3070 has 8 GB of GDDR6 memory.
Can I find RTX 2080 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 RTX 2080 and the RTX 3070?▾
The RTX 2080 uses the Turing architecture (2018) while the RTX 3070 uses Ampere (2020). The RTX 3070 delivers 2.0x the FP16 throughput and 1.4x the memory bandwidth of the RTX 2080.