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ASUS NOCTUA GeForce RTX 5080 graphics card with brown and beige Noctua fans

ASUS

ASUS NOCTUA GeForce RTX 5080 16GB GDDR7 OC Edition graphics card

SKU CH-FRAS-EESW8

A GeForce RTX 5080 with 16 GB of 256-bit GDDR7 memory, 10752 CUDA cores and DLSS 4.0 on a PCI Express 5.0 x16 interface

  • InterfacePCI Express 5.0 x16
  • Chipset ManufacturerNVIDIA
  • GPU SeriesNVIDIA GeForce RTX 50 Series
  • GPUGeForce RTX 5080
  • ArchitectureBlackwell
  • CUDA Cores10752
  • 16 GB GDDR7 memory at 30 Gbps delivers high bandwidth for 4K and AI workloads
  • 10752 CUDA cores on Blackwell architecture provide compute density for ray tracing and generative tasks
  • DLSS 4.0 upscaling and frame generation boost frame rates without native render cost
  • PCI Express 5.0 x16 interface doubles link bandwidth versus 4.0 for faster asset streaming
  • 2 HDMI 2.1b and 3 DisplayPort 2.1a outputs drive up to four 8K displays at 7680 x 4320

Ready for 4K workflows and high-refresh gaming

This ASUS NOCTUA GeForce RTX 5080 card pairs the Blackwell architecture with 16GB of GDDR7 on a 256-Bit bus. The 10752 CUDA cores and 30 Gbps effective memory clock give headroom for 4K content creation and competitive gaming. PCI Express 5.0 x16 and DLSS 4.0 support keep the data path wide for modern titles and creative apps.

Thermals noise and power in daily use

The Noctua collaboration brings a focus on lower acoustic output under load. In typical gaming sessions the card runs cooler and quieter than reference designs without needing extreme fan curves. Power draw scales with the 5080 chipset so a robust PSU is recommended for sustained boost clocks. Idle power remains low for multi-monitor desktop work.

Build quality and connector layout

A reinforced frame and premium fan assembly reflect the NOCTUA branding. Two HDMI 2.1b and three DisplayPort 2.1a ports drive up to four displays at 7680 x 4320. The standard dual-slot bracket fits most ATX cases while the PCIe 5.0 edge connector ensures full bandwidth on current platforms. No external power adapters are mentioned in the specifications.

Fordele

  • 16 GB GDDR7 memory at 30 Gbps delivers high bandwidth for 4K and AI workloads
  • 10752 CUDA cores on Blackwell architecture provide compute density for ray tracing and generative tasks
  • DLSS 4.0 upscaling and frame generation boost frame rates without native render cost
  • PCI Express 5.0 x16 interface doubles link bandwidth versus 4.0 for faster asset streaming
  • 2 HDMI 2.1b and 3 DisplayPort 2.1a outputs drive up to four 8K displays at 7680 x 4320

Specifikationer

BrandASUS
SeriesNOCTUA
ModelRTX5080-O16G-NOCTUA D7
InterfacePCI Express 5.0 x16
Chipset ManufacturerNVIDIA
GPU SeriesNVIDIA GeForce RTX 50 Series
GPUGeForce RTX 5080
ArchitectureBlackwell
CUDA Cores10752
Effective Memory Clock30 Gbps
Memory Size16GB
Memory Interface256-Bit
Memory TypeGDDR7
DirectXDirectX 12 Ultimate
OpenGLOpenGL 4.6
Multi-Monitor Support4
HDMI2 x HDMI 2.1b
DisplayPort3 x DisplayPort 2.1a
Max Resolution7680 x 4320
CrossFireX SupportNo
SLI SupportNo
Thermal Design Power360W
Recommended PSU Wattage850W
Power Connector1 x 16-Pin
HDCP ReadyYes
Max GPU Length358 mm
Card Dimensions (L x H)14.1 x 5.9 x 3 inch
Slot Width3.8 Slots

Spørgsmål om denne vare

How do I install the PCI Express 5.0 x16 card, and what step do builders often miss?

Seat the card fully in the top PCIe 5.0 x16 slot until the retention latch clicks, then attach the required 12VHPWR power connector directly from the PSU without daisy-chaining, and secure the rear bracket screw to prevent sag.

What maintenance will the Noctua cooling assembly need over time?

Use compressed air to clear dust from the heatsink fins and fan blades every six to twelve months; the fans use sealed bearings so no lubrication is required, and the thermal pads and paste are rated for the card's service life.

What limit appears first when the 10752 CUDA cores run sustained loads at 30 Gbps memory speed?

The 256-bit GDDR7 memory subsystem reaches its 30 Gbps bandwidth ceiling before the compute units saturate, so prolonged 4K or 7680 x 4320 workloads become memory-throughput bound.

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