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RTX 4070 SUPER GPU

The RTX 4070 SUPER offers improved performance over the base 4070 for 1440p gaming and content creation.

VRAM 12GB
CUDA Cores 7,168
Tensor Cores 224
TDP 220W
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RTX 4070 SUPER GPU

Cloud Pricing

No pricing data available for this GPU at the moment.

Prices updated daily. Last check: 4/8/2026

Performance

FP32
35.48 TFLOPS
Bandwidth
504 GB/s

Strengths & Limitations

  • 12GB VRAM provides substantial memory capacity for mid-tier workloads
  • 7,168 CUDA cores deliver solid parallel processing performance
  • Fourth-generation Tensor Cores accelerate AI and machine learning tasks
  • DLSS 3 frame generation technology improves rendering efficiency
  • 504 GB/s memory bandwidth supports high-throughput applications
  • 220W TDP offers reasonable power efficiency for the performance class
  • Ada Lovelace architecture provides improved performance per watt over previous generations
  • 220W power draw requires adequate cooling and power infrastructure
  • 192-bit memory interface limits memory bandwidth compared to higher-tier models
  • Consumer GPU positioning may lack enterprise features required for some deployments
  • Mid-tier performance may be insufficient for large-scale AI training workloads
  • PCIe interface limits multi-GPU scaling compared to dedicated interconnects

Key Features

•NVIDIA Ada Lovelace architecture
•DLSS 3 with AI frame generation
•Fourth-generation Tensor Cores
•Enhanced RT Cores for ray tracing
•NVIDIA Reflex low-latency platform
•PCIe Gen 4 interface
•NVIDIA Studio creative features
•Hardware-accelerated AV1 encoding

About RTX 4070 SUPER

The RTX 4070 SUPER is a mid-tier gaming GPU built on NVIDIA's Ada Lovelace architecture. Positioned as an enhanced version of the standard RTX 4070, it fits between the base model and the RTX 4070 Ti in NVIDIA's current consumer GPU lineup. The RTX 4070 SUPER features 12GB of GDDR6 memory and 7,168 CUDA cores, making it a substantial upgrade over its predecessor. Key specifications include 224 fourth-generation Tensor Cores for AI workloads, 504 GB/s of memory bandwidth across a 192-bit interface, and 35.48 TFLOPS of FP32 performance. The GPU operates with a 220W TDP and incorporates enhanced RT Cores for ray tracing alongside support for DLSS 3 frame generation. These specifications position it as a capable option for demanding visual computing tasks while maintaining reasonable power consumption. In cloud deployments, the RTX 4070 SUPER serves applications requiring moderate GPU acceleration without the overhead of professional-grade hardware. Its 12GB VRAM capacity and AI acceleration features make it suitable for development workloads, content creation tasks, and machine learning projects that don't require the full capabilities of data center GPUs.

Common Use Cases

The RTX 4070 SUPER targets development and testing environments where moderate GPU acceleration is needed without data center GPU costs. Its 12GB VRAM makes it suitable for machine learning experimentation, 3D rendering tasks, and content creation workflows. The combination of CUDA cores and Tensor Cores supports mixed workloads including computer vision development, game development with ray tracing, and AI model prototyping. Cloud providers often deploy this GPU for users requiring dedicated graphics performance for creative applications, engineering simulations, or medium-scale parallel computing tasks.

Full Specifications

Hardware

Manufacturer
NVIDIA
Architecture
Ada Lovelace
CUDA Cores
7,168
Tensor Cores
224
RT Cores
56
TDP
220W

Memory & Performance

VRAM
12GB
Memory Interface
192-bit
Memory Bandwidth
504 GB/s
FP32
35.48 TFLOPS
Release
2024

Frequently Asked Questions

How much does an RTX 4070 SUPER cost per hour in the cloud?

RTX 4070 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 SUPER best used for?

The RTX 4070 SUPER excels at development workloads, content creation, and moderate AI tasks. Its 12GB VRAM and 7,168 CUDA cores make it suitable for machine learning experimentation, 3D rendering, game development, and engineering simulations that don't require enterprise-grade GPU capabilities.

How does the RTX 4070 SUPER compare to the standard RTX 4070?

The RTX 4070 SUPER provides 12GB of VRAM compared to the standard model's 8GB, along with additional CUDA cores for improved performance. The increased memory capacity makes it more suitable for VRAM-intensive applications like high-resolution content creation and larger AI models.