RTX 4080 GPU
The RTX 4080 focuses on efficient gaming and AI-assisted workflows using Ada Lovelace architecture, with improved ray tracing and DLSS 3. It’s a mid-tier option for users who want modern features without the premium cost of the 4090.
Cloud Pricing
Cheapest on Salad Cloud — 39% below avg| Provider | GPUs | Price / hr | Updated | Source |
|---|---|---|---|---|
| 1× GPU | $0.11 | 4/8/2026 | ||
| 1× GPU | $0.15 | 4/4/2026 | ||
| 1× GPU | $0.16 | 4/8/2026 | ||
| 1× GPU | $0.21 | 4/8/2026 | ||
| 1× GPU | $0.27 | 4/8/2026 |
Prices updated daily. Last check: 4/8/2026
Performance
Strengths & Limitations
- 16GB GDDR6X memory capacity supports memory-intensive graphics and AI workloads
- Ada Lovelace architecture delivers improved performance per watt compared to previous generation
- DLSS 3 with Frame Generation provides up to 4x performance improvements in supported applications
- Third-generation RT cores offer enhanced ray tracing performance over Ampere architecture
- 717 GB/s memory bandwidth enables efficient handling of high-resolution textures and datasets
- 304 Tensor cores accelerate AI and machine learning inference tasks
- 5nm manufacturing process contributes to power efficiency improvements
- 320W TDP requires robust cooling solutions and high-capacity power supplies
- Gaming-focused design lacks enterprise features found in professional Quadro or data center GPUs
- Mid-tier positioning means lower compute density compared to RTX 4090 for parallel workloads
- GeForce drivers may have limitations for certain professional visualization applications
- 256-bit memory interface is narrower than higher-end alternatives
Key Features
About RTX 4080
Common Use Cases
The RTX 4080 suits cloud workstations running graphics-intensive creative applications, game development environments, and AI-enhanced content creation workflows. Its 16GB memory capacity handles large 3D scenes, high-resolution video editing, and machine learning inference tasks effectively. The dedicated ray tracing hardware accelerates architectural visualization, product design rendering, and real-time graphics applications. DLSS 3 support makes it valuable for cloud gaming services and remote workstations where performance optimization is critical. The GPU also serves AI researchers and developers working on computer vision, image processing, and generative AI applications that benefit from its Tensor core acceleration.
Full Specifications
Hardware
- Manufacturer
- NVIDIA
- Architecture
- Ada Lovelace
- CUDA Cores
- 9,728
- Tensor Cores
- 304
- RT Cores
- 76
- Process Node
- 5nm
- TDP
- 320W
Memory & Performance
- VRAM
- 16GB
- Memory Interface
- 256-bit
- Memory Bandwidth
- 717 GB/s
- FP32
- 48.83 TFLOPS
- FP64
- 0.76 TFLOPS
- Release
- 2022
Frequently Asked Questions
How much does an RTX 4080 cost per hour in the cloud?
RTX 4080 pricing varies by provider, region, and commitment level. Check the pricing table above for current rates across all providers.
What is the RTX 4080 best used for?
The RTX 4080 excels at graphics-intensive creative workflows, game development, 3D rendering, and AI-enhanced content creation. Its 16GB GDDR6X memory and dedicated ray tracing hardware make it suitable for architectural visualization, video editing, and machine learning inference tasks that require substantial graphics performance.
How does the RTX 4080 compare to the RTX 4090 for cloud workloads?
The RTX 4090 offers higher compute performance with 16,384 CUDA cores versus the RTX 4080's 9,728 cores, plus 24GB memory versus 16GB. However, the RTX 4080 provides better performance per watt and lower power consumption at 320W versus 450W, making it more suitable for workloads that don't require maximum compute density.