GV-N408SAORUS M-16GD Gigabyte Nvidia GeForce RTX 4080 Super 16GB GDDR6X 2625MHz 736GT/s GPU

High-Performance PCIe 4.0 GPU Accelerator for Visualization and AI Prototyping with the GV-N408SAORUS M-16GD

The GV-N408SAORUS M-16GD is a full-height, quad-slot PCIe GPU accelerator based on the NVIDIA GeForce RTX 4080 SUPER (Ada Lovelace, 5nm), engineered for workstation-class 4K/8K visualization and CUDA-accelerated AI/ML development. Its 10,240 CUDA cores and Tensor Core acceleration support rapid iteration for training and inference prototyping while maintaining predictable performance under sustained interactive and batch workloads.

For memory-bound pipelines, the GV-N408SAORUS M-16GD integrates 16GB GDDR6X on a 256-bit interface delivering 736GB/s bandwidth, enabling high-throughput texture, geometry, and dataset staging without excessive host transfers. The PCIe 4.0 x16 host interface provides consistent expansion bandwidth for modern CPU platforms, while multi-display output (3x DisplayPort 1.4a, 1x HDMI 2.1a) supports up to 4 concurrent displays at up to 7680 x 4320 for dense desktop and control-room layouts. In content creation, the GV-N408SAORUS M-16GD aligns with NVIDIA Studio-accelerated rendering and encoding workflows to reduce end-to-end frame delivery time.

Why Choose the GV-N408SAORUS M-16GD?

The GV-N408SAORUS M-16GD delivers a pragmatic density-to-performance profile for tower workstations and supported rack GPU nodes where PCIe-based acceleration is required without redesigning the storage or network fabric. With a 320W board power target, 16-pin external power, and dual-BIOS operational flexibility, it supports standardized deployment and controlled performance tuning across engineering teams.

Gigabyte applies a reliability-first design approach with reinforced mechanics and triple-fan axial cooling featuring zero-RPM mode to stabilize thermals and acoustics under mixed loads, aligning the GV-N408SAORUS M-16GD with modern data centre operational expectations for continuous duty and consistent thermodynamic behavior.

Key Applications:

• 4K/8K visualization and multi-display workstations
• CUDA/Tensor Core AI/ML training and inference prototyping
• GPU rendering and video encoding pipelines
• Engineering and CAD/CAE acceleration

At Happyware - Server Hardware you benefit from non-binding offers tailored precisely to your deployment and procurement requirements and can secure bulk order discount options when standardizing the GV-N408SAORUS M-16GD across multiple workstations or GPU-enabled nodes.