90YV0KB0-M0NA00 ASUS Nvidia GeForce RTX 4080 Super 16GB GDDR6X 2670MHz 736GB/s GPU

High-Performance PCIe 4.0 GPU Add-in Card for Workstation AI and Visualization with the 90YV0KB0-M0NA00

The 90YV0KB0-M0NA00 is an ASUS add-in GPU designed for PCIe 4.0 x16 workstation and single-node compute deployments where graphics and CUDA acceleration must coexist with predictable thermal and power behavior. Based on NVIDIA GeForce RTX 4080 SUPER (Ada Lovelace, 5nm), it targets creator pipelines, engineering visualization, and AI/ML development that benefit from high CUDA and Tensor Core throughput on standard x86 platforms.

With 16GB GDDR6X and 736 GB/s memory bandwidth, the 90YV0KB0-M0NA00 supports large 3D scenes, high-resolution texture sets, and mixed-precision workloads that are sensitive to memory throughput. PCIe 4.0 x16 provides a practical host link for dataset staging, multi-application concurrency, and fast device-to-host transfers in workstation-class builds. The full-height, quad-slot mechanical profile and 357.6 mm length require chassis planning, while the 320W TDP and 12VHPWR connector align with modern PSU and cabling standards. Multi-display capability is supported via DisplayPort 1.4a and HDMI 2.1a for up to 4 outputs, enabling 8K and multi-panel visualization.

Why Choose the 90YV0KB0-M0NA00?

The 90YV0KB0-M0NA00 delivers a balanced density-to-performance profile for enterprises standardizing on PCIe GPU workstations or compact single-GPU compute nodes. It is well suited for scaling individual deskside systems into repeatable configurations, combining acceleration headroom with consistent thermals via a triple-fan axial design, vapor chamber cooling, and structural backplate to support reliability in sustained workloads.

ASUS engineering emphasizes robust power delivery, controlled acoustics, and platform compatibility to meet modern data center and workstation integration expectations. Design choices around cooling, mechanical rigidity, and I/O stability support long duty cycles and predictable deployment behavior across fleet-managed systems.

Key Applications:

• AI/ML development and inference on CUDA
• GPU-accelerated rendering and content creation
• 8K and multi-display visualization
• Single-GPU compute nodes for FP16/FP32 workloads

At Happyware - Server Hardware you benefit from 24/7 Customer Service to support integration questions around the 90YV0KB0-M0NA00 and its chassis, power, and workload fit, and you can extend the warranty up to 6 years to reduce operational risk for long lifecycle deployments.