Technical Snapshot

The ASUS ROG ASTRAL GeForce RTX 5090 OC 32GB is a flagship desktop graphics card built on the NVIDIA Blackwell architecture (GB202 GPU). It delivers 21,760 CUDA cores and 32 GB of GDDR7 memory on a 512-bit bus, with a factory-overclocked boost clock of 2,407 MHz. The card connects via a PCIe 5.0 x16 interface and draws 575W TDP, requiring a 1,000W minimum power supply. Part of the ASUS ROG ASTRAL product line, this OC variant targets enthusiast 4K/8K gaming, real-time ray tracing, AI/ML inference, and professional 3D rendering workloads.

Use Case: 4K/8K gaming, AI/ML inference, real-time ray tracing, 3D rendering, content creation
Compatibility: Requires PCIe 5.0 or 4.0 x16 slot, 1,000W+ PSU, adequate case clearance for multi-slot card
Category: Desktop Graphics Card — NVIDIA GeForce RTX 5090 (Blackwell)

ASUS ROG

Card

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ASUS ROG ASTRAL

ROG ASTRAL GeForce RTX 5090 OC 32GB

Name: ASUS ROG ASTRAL GeForce RTX 5090 OC 32GB
Brand: ASUS
SKU: 90YV0LWA-M0NA00

Blackwell GB202 · 21,760 CUDA Cores · 32 GB GDDR7 · 512-bit · PCIe 5.0 x16

CUDA Cores 21,760

VRAM 32 GB GDDR7

Boost Clock 2,407 MHz

TDP 575W

MPN90YV0LWA-M0NA00

EAN4711636112086

CategoryGraphics Cards

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GPU Core & Memory

GPU Chip NVIDIA GB202

Architecture Blackwell

CUDA Cores 21,760

Base Clock 2,017 MHz

Boost Clock 2,407 MHz

VRAM 32 GB GDDR7

Memory Bus 512-bit

PCIe Interface PCIe 5.0 x16

TDP 575W

Recommended PSU 1,000W

Full Specifications

Data sourced from ASUS product specifications and NVIDIA reference data

GPU
GPU Chip	NVIDIA GB202
Architecture	Blackwell
CUDA Cores	21,760
Base Clock	2,017 MHz
Boost Clock	2,407 MHz
GPU Vendor	NVIDIA
Memory
VRAM	32 GB
Memory Type	GDDR7
Memory Bus Width	512-bit
Interface & Power
PCIe Interface	PCIe 5.0 x16
TDP (Total Board Power)	575W
Recommended PSU	1,000W
Product
Brand	ASUS
Brand Series	ROG ASTRAL
GPU Series	GeForce RTX 5090
Segment	Gaming
MPN	90YV0LWA-M0NA00
EAN	4711636112086
Physical
Weight	1.50 kg (estimated)
Package Dimensions	310 x 140 x 55 mm (estimated)

Support & Downloads

NVIDIA GeForce Game Ready Driver (Latest) Windows 10/11 64-bit · GeForce RTX 5090 support

NVIDIA Drivers →

ASUS GPU Tweak III Overclocking and monitoring utility for ASUS graphics cards

ASUS Support →

NVIDIA GeForce Experience / NVIDIA App Game optimization, driver updates, ShadowPlay recording

Download →

ASUS ROG ASTRAL RTX 5090 User Manual PDF · Installation guide and specifications

ASUS Support →

← Back to GPU Catalog

Frequently Asked Questions

What motherboards are compatible with the ROG ASTRAL RTX 5090?

The ASUS ROG ASTRAL GeForce RTX 5090 OC uses a PCIe 5.0 x16 interface and is compatible with any motherboard that has a PCIe 5.0 or PCIe 4.0 x16 slot. This includes AMD AM5 boards (X870E, X870, B850, X670E, X670, B650) and Intel LGA 1851 boards (Z890, B860) or LGA 1700 boards (Z790, B760). PCIe is backward-compatible, so a PCIe 4.0 slot will work at reduced bandwidth.

What power supply is recommended for the ROG ASTRAL RTX 5090?

ASUS recommends a minimum 1,000W power supply for the ROG ASTRAL GeForce RTX 5090 OC 32GB. The card has a TDP of 575W, so adequate PSU headroom is critical for stable operation under peak load, especially when paired with a high-end CPU.

Will the ROG ASTRAL RTX 5090 fit in a mid-tower case?

The ROG ASTRAL RTX 5090 OC is a large card — verify your case supports GPU lengths of at least 310mm (estimated). The card is a multi-slot design, so ensure your case has sufficient PCIe slot clearance and adequate airflow. Check your case manufacturer's maximum GPU length specification before purchasing.

How much VRAM does the ROG ASTRAL RTX 5090 have?

The ASUS ROG ASTRAL GeForce RTX 5090 OC features 32 GB of GDDR7 memory on a 512-bit bus. This is the maximum VRAM configuration for the RTX 5090, suitable for 4K/8K gaming, large AI/ML models, and professional rendering workloads that require substantial video memory.

Can the ROG ASTRAL RTX 5090 be used for AI and machine learning?

Yes. The RTX 5090 is built on NVIDIA's Blackwell architecture with 21,760 CUDA cores and 32 GB GDDR7 VRAM, making it capable of AI inference and training workloads. It supports CUDA, Tensor Cores, and NVIDIA's AI frameworks. For dedicated enterprise AI workloads, consider NVIDIA's professional-grade GPUs, but the RTX 5090 is the most powerful consumer-class option available.

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