Specifications Compared
| Spec | RTX-4080 | RTX-4090 |
|---|---|---|
| TDP | 320W | 450W |
| VRAM | 16 GB | 24 GB |
| CUDA Cores | 9,728 | 16,384 |
| Memory Type | GDDR6X | GDDR6X |
| Architecture | Ada Lovelace | Ada Lovelace |
| Form Factors | PCIe | PCIe |
| Interconnect | PCIe 4.0 | |
| Tensor Cores | 304 | 512 |
| FP16 Performance | 48.7 TFLOPS | 165 TFLOPS |
| FP32 Performance | 48.7 TFLOPS | 82.6 TFLOPS |
| INT8 Performance | 780 TOPS | 660 TOPS |
| Memory Bandwidth | 717 GB/s | 1,008 GB/s |
Performance Analysis
The RTX 4090 outperforms the RTX 4080 significantly in compute capabilities: its 165 TFLOPS FP16 is over three times the RTX 4080's 48.7 TFLOPS, accelerating deep learning training where half-precision is standard. The FP32 performance of 82.6 TFLOPS on the RTX 4090 also exceeds the RTX 4080's 48.7 TFLOPS, benefiting scientific simulations and general-purpose computing.
Memory bandwidth plays a critical role in handling large datasets: the RTX 4090's 1008 GB/s supports larger batch sizes compared to the RTX 4080's 717 GB/s, reducing training times for models like transformers. The RTX 4090's 24 GB VRAM enables loading larger models without swapping, ideal for inference on LLMs exceeding 16 GB requirements.
Power draw differs markedly: the RTX 4080's 320W TDP suits power-limited setups, while the 450W RTX 4090 demands robust cooling but delivers FP8 at 660 TFLOPS for quantized inference tasks.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
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 |
RTX 4090
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 TensorDock | NVIDIA GeForce RTX 4090 24GB VRAM | 24GB | 0 vCPU 0GB RAM | Chubbuck, Idaho | $0.39/GPU/hr | Available | ||
 Vast.ai | NVIDIA GeForce RTX 4090 24GB VRAM | 24GB | 32 vCPU 101GB RAM 152GB Storage | Iceland | $0.40/GPU/hr | Available | ||
TensorDock | NVIDIA GeForce RTX 4090 24GB VRAM | 24GB | 0 vCPU 0GB RAM | Orlando, Florida | $0.48/GPU/hr | Available | ||
Vast.ai | NVIDIA GeForce RTX 4090 24GB VRAM | 24GB | 32 vCPU 101GB RAM 108GB Storage | Iceland | $0.53/GPU/hr | Available | ||
Vast.ai | 4×NVIDIA GeForce RTX 4090 24GB VRAM | 24GB | 80 vCPU 157GB RAM 856GB Storage | United Kingdom | $0.67/GPU/hr $2.67/hr total (4×) | Available |
When to Choose the RTX 4080
The RTX 4080 suits cost-conscious users with workloads fitting within 16 GB VRAM. Its $0.11/hr starting price and $0.28/hr average across 8 offers provide value for fine-tuning smaller models or Stable Diffusion generation, where 48.7 TFLOPS FP16 suffices. Lower 320W TDP reduces operational costs in multi-GPU cloud instances.
When to Choose the RTX 4090
Opt for the RTX 4090 when VRAM and compute demands exceed RTX 4080 limits. Its 24 GB capacity and 1008 GB/s bandwidth handle large-batch LLM training or inference on models over 16 GB. Despite higher $0.47/hr average pricing across 102 offers, 165 TFLOPS FP16 justifies the premium for production-scale AI.
Use Cases
RTX 4090's 24 GB VRAM and 165 TFLOPS FP16 support larger models and batches versus RTX 4080's 16 GB and 48.7 TFLOPS.
24 GB VRAM on RTX 4090 accommodates bigger LLMs without offloading; 1008 GB/s bandwidth boosts throughput over RTX 4080's 717 GB/s.
Higher 82.6 TFLOPS FP32 and 660 TFLOPS FP8 on RTX 4090 speed up fine-tuning large models compared to RTX 4080's 48.7 TFLOPS.
RTX 4080's 16 GB VRAM and 48.7 TFLOPS handle most image generation; RTX 4090 excels for high-resolution batches with 24 GB.
RTX 4080's lower 320W TDP and $0.28/hr average pricing fit simulations within 16 GB VRAM limits.
Frequently Asked Questions
Which GPU has more VRAM: RTX 4080 or RTX 4090?▾
The RTX 4090 has 24 GB GDDR6X VRAM, exceeding the RTX 4080's 16 GB. This allows the RTX 4090 to manage larger AI models without memory constraints.
How do RTX 4080 and RTX 4090 compare in FP16 performance?▾
RTX 4090 delivers 165 TFLOPS FP16, over three times the RTX 4080's 48.7 TFLOPS. This gap accelerates deep learning training significantly.
What is the memory bandwidth difference?▾
RTX 4090 offers 1008 GB/s bandwidth versus RTX 4080's 717 GB/s. Higher bandwidth on RTX 4090 supports larger batch sizes in ML workflows.
Which is cheaper in the cloud?▾
RTX 4080 starts at $0.11/hr with $0.28/hr average across 8 offers; RTX 4090 at $0.16/hr average $0.47/hr across 102 offers. RTX 4080 provides better value for lighter tasks.
RTX 4080 vs RTX 4090 power consumption?▾
RTX 4080 has 320W TDP; RTX 4090 requires 450W. Lower TDP on RTX 4080 suits power-sensitive cloud deployments.
Can RTX 4080 handle LLM inference?▾
RTX 4080's 16 GB VRAM supports inference on models up to that size with 48.7 TFLOPS FP16. Larger models favor RTX 4090's 24 GB.
Which is cheaper to rent, the RTX 4080 or the RTX 4090?▾
Cloud rental prices for both the RTX 4080 and RTX 4090 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 4080 have compared to the RTX 4090?▾
The RTX 4080 has 16 GB of GDDR6X memory. The RTX 4090 has 24 GB of GDDR6X memory.
Can I find RTX 4080 and RTX 4090 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 4080 and the RTX 4090?▾
The RTX 4080 uses the Ada Lovelace architecture (2022) while the RTX 4090 uses Ada Lovelace (2022). The RTX 4090 delivers 3.4x the FP16 throughput and 1.4x the memory bandwidth of the RTX 4080.