Specifications Compared
| Spec | RTX-3090 | RTX-4080 |
|---|---|---|
| TDP | 350W | 320W |
| VRAM | 24 GB | 16 GB |
| CUDA Cores | 10,496 | 9,728 |
| Memory Type | GDDR6X | GDDR6X |
| Architecture | Ampere | Ada Lovelace |
| Form Factors | PCIe | PCIe |
| Interconnect | NVLink | |
| Tensor Cores | 328 | 304 |
| FP16 Performance | 35.6 TFLOPS | 48.7 TFLOPS |
| FP32 Performance | 35.6 TFLOPS | 48.7 TFLOPS |
| Memory Bandwidth | 936 GB/s | 717 GB/s |
Performance Analysis
The RTX 4080 SUPER achieves higher compute performance than the RTX 3090 Ti: 48.7 TFLOPS in FP16 and FP32 versus 35.6 TFLOPS, a 37 percent increase. This advantage accelerates machine learning training cycles and inference queries, reducing time per epoch or latency in production deployments. The FP16 and FP32 parity in both GPUs suits mixed-precision workflows common in deep learning. The RTX 3090 Ti counters with 24 GB VRAM against 16 GB, enabling larger models like 70B parameter LLMs without quantization. Its 936 GB/s bandwidth exceeds the RTX 4080 SUPER's 717 GB/s by 30 percent, supporting bigger batch sizes in training to minimize padding overhead and improve utilization. Lower TDP on the RTX 4080 SUPER, 320W versus 350W, enhances power efficiency at 0.152 TFLOPS per watt compared to 0.102 TFLOPS per watt.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
RTX 3090 Ti
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 TensorDock | NVIDIA GeForce RTX 3090 24GB VRAM | 24GB | 0 vCPU 0GB RAM | Wilmington, Delaware | $0.20/GPU/hr | Available | ||
TensorDock | NVIDIA GeForce RTX 3090 24GB VRAM | 24GB | 0 vCPU 0GB RAM | Dallas, Texas | $0.21/GPU/hr | Available | ||
 Vast.ai | 4×NVIDIA GeForce RTX 3090 24GB VRAM | 24GB | 32 vCPU 403GB RAM 153GB Storage | Iceland | $0.25/GPU/hr $1.01/hr total (4×) | Available | ||
Vast.ai | 4×NVIDIA GeForce RTX 3090 24GB VRAM | 24GB | 32 vCPU 252GB RAM 1440GB Storage | Finland | $0.27/GPU/hr $1.07/hr total (4×) | Available | ||
 LeaderGPU | 8×NVIDIA GeForce RTX 3090 24GB VRAM | 24GB | 64 vCPU 384GB RAM 2000GB Storage | Netherlands | $0.29/GPU/hr $2.29/hr total (8×) | Available |
RTX 4080 SUPER
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 RunPod | NVIDIA GeForce RTX 4080 SUPER 16GB VRAM | 16GB | 6 vCPU 35GB RAM | 🌍global | $0.50/GPU/hr | |||
RunPod | NVIDIA GeForce RTX 4080 16GB VRAM | 16GB | 6 vCPU 35GB RAM | 🌍global | $0.50/GPU/hr |
When to Choose the RTX 3090 Ti
Select the RTX 3090 Ti for memory-intensive workloads such as training massive models exceeding 16 GB VRAM requirements. Its 24 GB capacity and 936 GB/s bandwidth handle large batch sizes effectively, avoiding out-of-memory issues that plague the RTX 4080 SUPER. Cloud pricing from $0.10 per hour makes it ideal for budget-conscious, long-duration tasks across five providers.
When to Choose the RTX 4080 SUPER
Choose the RTX 4080 SUPER for compute-bound applications like rapid prototyping or high-throughput inference. The 48.7 TFLOPS rating outperforms the RTX 3090 Ti's 35.6 TFLOPS by 37 percent, speeding iterations in fine-tuning. Its 320W TDP offers better density in multi-GPU setups, with Ada Lovelace efficiencies reducing operational costs over time despite $0.17 per hour starting price.
Use Cases
The RTX 3090 Ti's 24 GB VRAM and 936 GB/s bandwidth support large models and batch sizes better than the 16 GB and 717 GB/s on the RTX 4080 SUPER.
The RTX 4080 SUPER's 48.7 TFLOPS delivers 37 percent higher performance than the 35.6 TFLOPS of the RTX 3090 Ti, reducing query latency.
Higher 48.7 TFLOPS on the RTX 4080 SUPER accelerates iterations compared to 35.6 TFLOPS, with 320W TDP aiding multi-GPU efficiency.
24 GB VRAM on the RTX 3090 Ti enables high-resolution generations without swapping, outperforming 16 GB limits on the RTX 4080 SUPER.
The RTX 4080 SUPER's 48.7 TFLOPS and Ada architecture provide faster simulations than the RTX 3090 Ti's 35.6 TFLOPS Ampere design.
Frequently Asked Questions
Which GPU has more VRAM: RTX 3090 Ti or RTX 4080 SUPER?▾
The RTX 3090 Ti has 24 GB GDDR6X VRAM, exceeding the RTX 4080 SUPER's 16 GB. This makes the 3090 Ti better for large-model training. Bandwidth also favors it at 936 GB/s versus 717 GB/s.
What are the FP32 performance differences?▾
The RTX 4080 SUPER reaches 48.7 TFLOPS FP32, 37 percent above the RTX 3090 Ti's 35.6 TFLOPS. This boosts training and inference speeds. FP16 matches this delta at identical rates per GPU.
How do cloud prices compare?▾
RTX 3090 Ti pricing starts at $0.10 per hour, averaging $0.25 across five offers. RTX 4080 SUPER begins at $0.17 per hour, averaging $0.32 across three offers. The 3090 Ti suits cost-sensitive users.
Which has lower TDP?▾
The RTX 4080 SUPER consumes 320W TDP, less than the RTX 3090 Ti's 350W. This improves efficiency at 0.152 TFLOPS per watt versus 0.102. It fits denser cloud instances.
Does the RTX 3090 Ti support NVLink?▾
Yes, the RTX 3090 Ti includes NVLink interconnect for multi-GPU scaling. The RTX 4080 SUPER lacks this specification. NVLink aids memory pooling in large-scale training.
What architectures do they use?▾
RTX 3090 Ti uses Ampere from 2020, while RTX 4080 SUPER employs Ada Lovelace from 2022. Ada offers RT core improvements and higher efficiency. Both use PCIe form factors.
Which is cheaper to rent, the RTX 3090 or the RTX 4080?▾
Cloud rental prices for both the RTX 3090 and RTX 4080 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 3090 have compared to the RTX 4080?▾
The RTX 3090 has 24 GB of GDDR6X memory. The RTX 4080 has 16 GB of GDDR6X memory.
Can I find RTX 3090 and RTX 4080 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 3090 and the RTX 4080?▾
The RTX 3090 uses the Ampere architecture (2020) while the RTX 4080 uses Ada Lovelace (2022). The RTX 4080 delivers 1.4x the FP16 throughput and 1.3x the memory bandwidth of the RTX 3090.