RTX 3090 GPU
The RTX 3090 offers high-end gaming and content creation performance with 24GB of GDDR6X memory, making it suitable for 3D rendering and moderate AI experimentation. Its Ampere architecture balances price and performance for users needing more VRAM than typical consumer GPUs.
Cloud Pricing
Cheapest on Salad Cloud — 41% below avg| Provider | GPUs | Price / hr | Updated | Source |
|---|---|---|---|---|
| 1× GPU | $0.09 | 4/8/2026 | ||
| 1× GPU | $0.11 | 4/8/2026 | ||
| 1× GPU | $0.12 | 4/4/2026 | ||
| 1× GPU | $0.12 | 4/8/2026 | ||
| 1× GPU | $0.20 | 3/22/2026 | ||
| 1× GPU | $0.20 | 4/7/2026 | ||
| 1× GPU | $0.22 | 4/8/2026 |
Prices updated daily. Last check: 4/8/2026
Performance
Strengths & Limitations
- 24 GB GDDR6X memory capacity supports memory-intensive AI and rendering workloads
- 10,496 CUDA cores provide substantial parallel processing capability
- Third-generation Tensor cores accelerate mixed-precision AI workloads
- Second-generation RT cores enable hardware ray tracing acceleration
- 936 GB/s memory bandwidth supports high-throughput data processing
- NVIDIA DLSS support enhances rendering performance through AI upscaling
- PCIe Gen 4 and NVLink connectivity options for system integration
- 350W TDP results in high power consumption and heat generation
- Consumer GPU design lacks ECC memory and enterprise reliability features
- FP64 performance significantly reduced compared to professional GPUs
- Limited to consumer driver stack without enterprise support options
- Ampere architecture predates newer GPU generations with improved efficiency
Key Features
About RTX 3090
Common Use Cases
The RTX 3090 is well-suited for AI inference tasks requiring large memory capacity, 3D rendering and animation workloads, and content creation applications. Its 24 GB VRAM makes it capable of handling large language models and computer vision tasks that exceed the memory limits of smaller GPUs. The combination of substantial CUDA core count and Tensor core acceleration supports mixed-precision training for medium-scale deep learning projects, while RT cores enable hardware-accelerated ray tracing for rendering applications.
Full Specifications
Hardware
- Manufacturer
- NVIDIA
- Architecture
- Ampere
- CUDA Cores
- 10,496
- Tensor Cores
- 328
- RT Cores
- 82
- Process Node
- 8nm
- TDP
- 350W
Memory & Performance
- VRAM
- 24GB
- Memory Interface
- 384-bit
- Memory Bandwidth
- 936 GB/s
- FP32
- 35.58 TFLOPS
- FP64
- 0.56 TFLOPS
Frequently Asked Questions
How much does an RTX 3090 cost per hour in the cloud?
RTX 3090 pricing varies by provider, region, and commitment level. Check the pricing table above for current rates across all providers.
What is the RTX 3090 best used for?
The RTX 3090 excels at AI inference tasks requiring substantial VRAM, 3D rendering and animation, content creation, and medium-scale machine learning training. Its 24 GB memory capacity makes it particularly suitable for large model inference and memory-intensive computational workloads.
How does the RTX 3090 compare to professional GPUs for AI workloads?
While the RTX 3090 offers substantial VRAM and Tensor core acceleration, professional GPUs provide ECC memory, enhanced reliability features, and optimized drivers for enterprise AI frameworks. The RTX 3090 serves well for development and inference tasks where the additional enterprise features aren't required.