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
Compute capabilities show minimal variance between these GPUs. The RTX 3080 achieves 29.8 TFLOPS in FP16 and FP32, nearly matching the RTX 4070's 29.1 TFLOPS: this parity implies similar throughput for model training and inference tasks under FP32 precision. Training workloads benefit equally from both, as FP16 tensor performance supports mixed-precision setups without significant gaps.
Memory bandwidth presents the clearest distinction: 760 GB/s on the RTX 3080 versus 504 GB/s on the RTX 4070. Higher bandwidth enables the RTX 3080 to handle larger batch sizes in data-intensive operations, reducing bottlenecks in LLM training or Stable Diffusion generation. The RTX 4070's lower bandwidth may limit scalability for high-throughput scenarios.
Power efficiency favors the RTX 4070 with its 200W TDP against 320W: this allows denser cloud deployments and lower cooling demands. Ada Lovelace architecture introduces optimizations absent in Ampere, potentially enhancing inference latency despite bandwidth constraints.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
RTX 4070
| 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
The RTX 3080 excels in bandwidth-heavy workloads. Its 760 GB/s memory bandwidth supports larger batch sizes compared to the RTX 4070's 504 GB/s, making it ideal for training large models where data movement dominates.
Cost advantages solidify this choice: pricing from $0.06/hr with an average of $0.15/hr across 10 offers undercuts the RTX 4070's $0.07/hr start and $0.19/hr average. Users prioritizing value in extended compute sessions select the RTX 3080.
When to Choose the RTX 4070
The RTX 4070 suits efficiency-focused deployments. Its 200W TDP consumes less power than the RTX 3080's 320W, enabling more instances per server and reduced operational costs in inference-heavy pipelines.
Newer Ada Lovelace architecture from 2023 offers refined features over Ampere, paired with consistent 12 GB VRAM. This makes it preferable for modern applications valuing lower latency and 29.1 TFLOPS performance at a modest pricing premium.
Use Cases
Higher 760 GB/s bandwidth on the RTX 3080 supports larger batch sizes critical for efficient LLM training. The 29.8 TFLOPS FP16 matches the RTX 4070 closely, but bandwidth edges it for data-heavy sessions.
RTX 4070's 200W TDP and Ada Lovelace architecture optimize for lower-latency inference. Its 29.1 TFLOPS FP32 sustains high request volumes with less power than the RTX 3080's 320W.
RTX 3080's 10 to 12 GB VRAM and 760 GB/s bandwidth handle fine-tuning datasets effectively. Cheaper $0.06/hr pricing from 10 offers makes prolonged sessions more economical.
Both GPUs offer similar 29.8 and 29.1 TFLOPS for generation tasks. RTX 3080 provides bandwidth advantage, while RTX 4070 offers efficiency at comparable 12 GB VRAM.
RTX 4070's lower 200W TDP suits sustained simulations. Newer architecture enhances FP32 workloads at 29.1 TFLOPS with reduced energy costs.
Frequently Asked Questions
Which GPU has higher memory bandwidth?▾
The RTX 3080 provides 760 GB/s bandwidth, exceeding the RTX 4070's 504 GB/s. This difference impacts batch sizes in training. Higher bandwidth favors data-intensive tasks on the RTX 3080.
How do their compute performances compare?▾
RTX 3080 delivers 29.8 TFLOPS in FP16 and FP32, slightly above RTX 4070's 29.1 TFLOPS. Parity ensures similar training and inference speeds. Architectural differences may influence specific optimizations.
What are the power consumption differences?▾
RTX 4070 uses 200W TDP, half the RTX 3080's 320W. Lower power enables more efficient cloud scaling. This suits inference or dense deployments.
Which is cheaper in the cloud?▾
RTX 3080 starts at $0.06/hr averaging $0.15/hr across 10 offers, undercutting RTX 4070's $0.07/hr start and $0.19/hr average over 9 offers. More availability enhances its value. Budget users prefer RTX 3080.
Does RTX 4070 have more VRAM?▾
RTX 4070 has 12 GB GDDR6X, matching the upper end of RTX 3080's 10 to 12 GB range. Both suffice for most ML models. Bandwidth remains the key differentiator.
Which architecture is newer?▾
RTX 4070 uses Ada Lovelace from 2023, succeeding RTX 3080's Ampere from 2020. Newer design includes efficiency gains. This benefits modern software stacks.
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.