RTX 3090 Ti GPU
The RTX 3090 Ti was the flagship Ampere gaming GPU with 24GB GDDR6X for extreme 4K gaming and content creation.
Cloud Pricing
Cheapest on Salad Cloud — 40% below avg| Provider | GPUs | Price / hr | Updated | Source |
|---|---|---|---|---|
| 1× GPU | $0.10 | 4/8/2026 | ||
| 1× GPU | $0.14 | 4/8/2026 | ||
| 1× GPU | $0.15 | 4/4/2026 | ||
| 1× GPU | $0.18 | 4/8/2026 | ||
| 1× GPU | $0.27 | 4/8/2026 |
Prices updated daily. Last check: 4/8/2026
Performance
Strengths & Limitations
- 24 GB GDDR6X memory provides substantial capacity for large models and datasets
- 10,752 CUDA cores deliver 40 TFLOPS of FP32 computational performance
- 336 third-generation Tensor Cores accelerate AI and machine learning workloads
- 1,008 GB/s memory bandwidth enables high-throughput data processing
- Second-generation RT Cores provide hardware ray tracing acceleration
- NVIDIA DLSS support enhances rendering performance in compatible applications
- 384-bit memory interface maximizes memory subsystem performance
- 450W TDP requires robust power delivery and cooling infrastructure
- Ampere architecture lacks newer features found in Ada Lovelace and Hopper generations
- Consumer-focused design may not include enterprise features like ECC memory
- Single GPU configuration limits scalability compared to multi-GPU server solutions
- Released in 2022, making it a previous-generation option in the current market
Key Features
About RTX 3090 Ti
Common Use Cases
The RTX 3090 Ti suits AI development and research scenarios where the 24 GB VRAM capacity enables working with larger language models, computer vision datasets, or deep learning experiments that exceed the memory limits of smaller GPUs. Content creation workflows benefit from the combination of substantial memory, RT Cores for ray tracing, and CUDA cores for rendering acceleration. The GPU handles game development tasks, 3D modeling, and video production where the large memory buffer reduces the need for asset streaming. Research applications in machine learning, particularly those requiring fine-tuning of medium-scale models or batch processing of datasets, can utilize both the memory capacity and Tensor Core acceleration.
Full Specifications
Hardware
- Manufacturer
- NVIDIA
- Architecture
- Ampere
- CUDA Cores
- 10,752
- Tensor Cores
- 336
- RT Cores
- 84
- TDP
- 450W
Memory & Performance
- VRAM
- 24GB
- Memory Interface
- 384-bit
- Memory Bandwidth
- 1008 GB/s
- FP32
- 40 TFLOPS
- Release
- 2022
Frequently Asked Questions
How much does an RTX 3090 Ti cost per hour in the cloud?
RTX 3090 Ti pricing varies by provider, region, and commitment level. Check the pricing table above for current rates across all providers.
What is the RTX 3090 Ti best used for?
The RTX 3090 Ti excels in AI development, content creation, and research applications that benefit from its 24 GB VRAM capacity. The substantial memory makes it suitable for training medium-scale deep learning models, handling large datasets, 3D rendering with complex scenes, and game development workflows requiring high memory throughput.
How does the RTX 3090 Ti compare to newer RTX 40 series GPUs?
The RTX 3090 Ti uses the older Ampere architecture versus the newer Ada Lovelace architecture in RTX 40 series GPUs. While it maintains a 24 GB memory advantage over most RTX 40 series models, newer GPUs offer improved performance per watt, updated RT and Tensor Core generations, and architectural enhancements for AI workloads. The choice depends on whether memory capacity or architectural improvements take priority for specific workloads.