RTX 4070 Ti SUPER GPU
The RTX 4070 Ti SUPER offers excellent 1440p and 4K gaming with DLSS 3 and ray tracing capabilities.

Cloud Pricing
Prices updated daily. Last check: 4/8/2026
Performance
Strengths & Limitations
- 16 GB GDDR6X memory enables handling of large datasets and high-resolution content
- 8,448 CUDA cores provide substantial parallel processing capability
- 44.1 TFLOPS FP32 performance for compute-intensive workloads
- Fourth-generation Tensor cores with enhanced AI processing efficiency
- Third-generation RT cores for hardware-accelerated ray tracing
- 672 GB/s memory bandwidth supports high-throughput applications
- AV1 encode/decode support for efficient video processing
- 285W power consumption requires robust cooling and power infrastructure
- Consumer-oriented GPU lacks enterprise features like ECC memory
- Limited to single-precision workloads compared to professional cards
- May be overkill for basic AI inference or lightweight compute tasks
Key Features
About RTX 4070 Ti SUPER
Common Use Cases
The RTX 4070 Ti SUPER excels in applications requiring substantial VRAM capacity, making it well-suited for AI model training with medium-scale datasets, 3D rendering and animation projects, and high-resolution video editing workflows. Its 16 GB memory buffer allows it to handle neural networks and datasets that would exceed the capacity of 12 GB cards, while the 8,448 CUDA cores provide the computational throughput needed for parallel processing tasks. The card is also effective for virtual desktop infrastructure supporting graphics-intensive applications and development environments requiring GPU acceleration.
Full Specifications
Hardware
- Manufacturer
- NVIDIA
- Architecture
- Ada Lovelace
- CUDA Cores
- 8,448
- Tensor Cores
- 264
- RT Cores
- 66
- TDP
- 285W
Memory & Performance
- VRAM
- 16GB
- Memory Interface
- 256-bit
- Memory Bandwidth
- 672 GB/s
- FP32
- 44.1 TFLOPS
- Release
- 2024
Frequently Asked Questions
How much does an RTX 4070 Ti SUPER cost per hour in the cloud?
RTX 4070 Ti SUPER pricing varies by provider, region, and commitment level. Check the pricing table above for current rates across all providers.
What is the RTX 4070 Ti SUPER best used for?
The RTX 4070 Ti SUPER is well-suited for AI model training with medium-scale datasets, 3D rendering, high-resolution content creation, and applications requiring substantial VRAM capacity. Its 16 GB memory and 8,448 CUDA cores make it effective for workloads that benefit from both memory capacity and parallel processing power.
How does the RTX 4070 Ti SUPER compare to the standard RTX 4070 Ti?
The RTX 4070 Ti SUPER offers 16 GB GDDR6X memory compared to 12 GB on the standard RTX 4070 Ti, along with additional CUDA cores (8,448 vs fewer cores) and higher memory bandwidth (672 GB/s). This makes the SUPER variant better suited for memory-intensive workloads and larger AI models, though it comes with higher power consumption at 285W.