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 demonstrates superior compute capability: its 48.7 TFLOPS in FP16 and FP32 exceeds the RTX 3090's 35.6 TFLOPS by 37 percent, accelerating model training epochs and inference queries in deep learning pipelines. This delta proves critical for FP16-heavy operations common in transformer models. Conversely, the RTX 3090's 936 GB/s memory bandwidth surpasses the 4080's 717 GB/s by 30 percent, enabling larger batch sizes in memory-constrained scenarios such as training with high-resolution datasets. Lower bandwidth on the 4080 may limit scalability for very large batches despite its architectural efficiencies. Power draw also differs: the 3090 requires 350W TDP compared to 320W on the 4080, impacting multi-GPU cluster density.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
RTX 3090
| 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 104GB 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
| 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
Opt for the RTX 3090 in memory-intensive applications: its 24 GB VRAM capacity handles large language models exceeding 16 GB, unlike the RTX 4080. The 936 GB/s bandwidth supports expansive batch sizes during training or Stable Diffusion generation at high resolutions. Availability bolsters this choice with 50 live cloud offers starting at $0.08 per hour, and NVLink interconnect enables efficient multi-GPU scaling.
When to Choose the RTX 4080
Select the RTX 4080 for compute-bound workloads: 48.7 TFLOPS delivers 37 percent faster FP16 and FP32 performance than the 3090's 35.6 TFLOPS, ideal for rapid inference serving. Its 320W TDP offers better power efficiency over 350W, suiting dense deployments. Average cloud pricing at $0.28 per hour undercuts the 3090's $0.41 per hour average.
Use Cases
RTX 3090's 24 GB VRAM accommodates larger models and batches compared to 16 GB on RTX 4080. Its 936 GB/s bandwidth sustains high-throughput training.
RTX 4080's 48.7 TFLOPS FP16 outperforms 3090's 35.6 TFLOPS by 37 percent for quicker query responses. Lower 320W TDP supports efficient serving clusters.
24 GB VRAM on RTX 3090 manages extensive datasets during fine-tuning, exceeding 4080's 16 GB limit. NVLink aids multi-GPU setups.
RTX 3090's 24 GB VRAM enables high-resolution image generation without out-of-memory errors. 936 GB/s bandwidth accelerates diffusion steps.
48.7 TFLOPS FP32 on RTX 4080 boosts simulations 37 percent faster than 3090's 35.6 TFLOPS. Ada Lovelace architecture optimizes parallel computations.
Frequently Asked Questions
Which GPU has more VRAM, RTX 3090 or RTX 4080?▾
The RTX 3090 offers 24 GB GDDR6X VRAM, surpassing the RTX 4080's 16 GB. This advantage suits memory-heavy tasks like large model training. Bandwidth also favors 3090 at 936 GB/s over 717 GB/s.
What are the FP32 performance differences?▾
RTX 4080 achieves 48.7 TFLOPS FP32, 37 percent higher than RTX 3090's 35.6 TFLOPS. This impacts training speed and scientific simulations. FP16 matches this delta across both.
How do cloud prices compare?▾
RTX 3090 starts at $0.08 per hour averaging $0.41 across 50 offers; RTX 4080 begins at $0.11 per hour averaging $0.28 over 8 offers. Cheaper averages favor 4080 for sustained use.
Which has lower power consumption?▾
RTX 4080 draws 320W TDP versus RTX 3090's 350W. This enables denser cloud instances. Both use PCIe form factor.
Does RTX 3090 support NVLink?▾
RTX 3090 includes NVLink interconnect for multi-GPU communication; RTX 4080 lacks it. This aids scaled training on 3090. Architectures differ: Ampere for 3090, Ada Lovelace for 4080.
Which is newer, RTX 3090 or 4080?▾
RTX 4080 launched in 2022 with Ada Lovelace architecture; RTX 3090 dates to 2020 Ampere. Newer design yields 48.7 TFLOPS versus 35.6 TFLOPS.
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.



