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RTX 4080 SUPER GPU

The RTX 4080 SUPER delivers near-flagship performance for 4K gaming and content creation.

VRAM 16GB
CUDA Cores 10,240
Tensor Cores 320
TDP 320W
From
$0.17/hr
across 1 provider
Compare PricesSpecs →
RTX 4080 SUPER GPU

Cloud Pricing

Cheapest on RunPod — 24% below avg
ProviderGPUsPrice / hrUpdatedSource
RunPod logo
RunPod
1× GPU
$0.17
4/8/2026
RunPod logo
RunPod
1× GPU
$0.28
4/8/2026
Direct from providerVia marketplace

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

Performance

FP32
52.22 TFLOPS
Bandwidth
736 GB/s

Strengths & Limitations

  • 16 GB GDDR6X memory provides substantial buffer for high-resolution textures and large models
  • 10,240 CUDA cores deliver 52.22 TFLOPs of FP32 compute performance
  • Ada Lovelace architecture offers improved power efficiency over previous generations
  • 320 Tensor cores enable accelerated AI inference and DLSS workloads
  • 736 GB/s memory bandwidth supports memory-intensive applications
  • PCIe Gen 4 interface ensures compatibility with modern server platforms
  • DLSS 3 support provides performance scaling for supported applications
  • 320W TDP requires robust power delivery and cooling infrastructure
  • Consumer-oriented drivers may lack optimizations for enterprise workloads
  • Limited to single-precision floating point operations without professional features
  • Higher power consumption compared to efficiency-focused alternatives
  • GDDR6X memory lacks ECC protection for mission-critical applications

Key Features

•NVIDIA Ada Lovelace architecture
•DLSS 3 with Frame Generation
•NVIDIA Reflex latency reduction
•NVIDIA Broadcast AI-powered streaming
•Enhanced RT cores for ray tracing
•AV1 dual encoders
•NVENC hardware encoding
•PCIe 4.0 interface support

About RTX 4080 SUPER

The RTX 4080 SUPER is a high-performance consumer GPU based on NVIDIA's Ada Lovelace architecture, positioned as an enhanced variant within the RTX 40 series lineup. Released in early 2024, it sits in the high-performance tier of NVIDIA's consumer GPU stack, offering substantial compute capabilities for gaming and content creation workloads. As a consumer-focused GPU, it competes in the enthusiast market segment while remaining distinct from NVIDIA's professional data center offerings. The RTX 4080 SUPER features 16 GB of GDDR6X memory paired with 10,240 CUDA cores and 320 Tensor cores, delivering 52.22 TFLOPs of FP32 compute performance. Its 256-bit memory interface provides 736 GB/s of memory bandwidth, while the Ada Lovelace architecture introduces improved streaming multiprocessors and enhanced RT cores for ray tracing workloads. The GPU operates with a 320W TDP, requiring substantial power infrastructure for deployment. In cloud environments, the RTX 4080 SUPER serves gaming workloads, real-time rendering applications, and AI inference tasks that benefit from its DLSS 3 capabilities and substantial VRAM buffer. Its consumer-oriented feature set makes it suitable for cloud gaming services, virtual workstations, and development environments where high-end graphics performance is required without the cost premium of professional GPU lines.

Common Use Cases

The RTX 4080 SUPER excels in cloud gaming services where its 16 GB VRAM and DLSS 3 capabilities enable high-resolution gaming with enhanced frame rates. Its substantial compute performance makes it suitable for real-time rendering workflows, game development, and content creation tasks that leverage GPU acceleration. The combination of CUDA cores and Tensor cores supports AI inference applications, particularly those involving computer vision and real-time AI processing where the consumer-grade feature set provides adequate performance without professional GPU premiums.

Full Specifications

Hardware

Manufacturer
NVIDIA
Architecture
Ada Lovelace
CUDA Cores
10,240
Tensor Cores
320
RT Cores
80
TDP
320W

Memory & Performance

VRAM
16GB
Memory Interface
256-bit
Memory Bandwidth
736 GB/s
FP32
52.22 TFLOPS
Release
2024

Frequently Asked Questions

How much does an RTX 4080 SUPER cost per hour in the cloud?

RTX 4080 SUPER pricing varies by provider, region, and commitment level. Check the pricing table above for current rates across all providers.

What is the RTX 4080 SUPER best used for?

The RTX 4080 SUPER is optimized for high-performance gaming, real-time rendering, and content creation workflows. Its 16 GB VRAM and DLSS 3 support make it particularly effective for cloud gaming services and development environments requiring substantial graphics performance.

How does the RTX 4080 SUPER compare to professional GPUs for AI workloads?

While the RTX 4080 SUPER offers 320 Tensor cores and substantial compute performance, professional GPUs typically provide features like ECC memory, enterprise drivers, and specialized AI frameworks. The 4080 SUPER suits AI inference and development work where consumer-grade features meet requirements at a lower cost point.