GV-N409DWF3-24GD Gigabyte Nvidia GeForce RTX 4090D 24GB GDDR6X 2520MHz 1008GT/s Desktop GPU

High-Performance Full-Height GPU Accelerator Card for AI and Rendering Workloads with the GV-N409DWF3-24GD

The GV-N409DWF3-24GD integrates an NVIDIA GeForce RTX 4090D GPU based on the Ada Lovelace architecture to deliver single-GPU acceleration for enterprise inference and content pipelines where PCIe-attached compute is preferred over complex multi-node scaling. The GV-N409DWF3-24GD is designed for modern x86 server and workstation platforms, pairing efficiently with high-core-count CPUs by offloading parallel compute, tensor operations, and graphics workloads without redesigning the host system architecture.

With 24GB GDDR6X on a 384-bit interface, the GV-N409DWF3-24GD supports memory-resident model execution, high-resolution datasets, and large scene assets while sustaining high bandwidth to reduce stalls during batch inference and GPU rendering. A PCIe 4.0 x16 host interface provides predictable expansion planning in standard full-height slots and aligns with mainstream server backplanes and workstation boards; local storage remains host-defined, enabling NVMe-centric data paths for RAG pipelines, cache layers, and media scratch workflows.

Why Choose the GV-N409DWF3-24GD?

The GV-N409DWF3-24GD provides a strong density-to-performance profile for single-accelerator nodes, enabling targeted scaling by adding cards across existing fleet standards rather than introducing new chassis classes. Its full-height, triple-slot mechanical design supports stable deployment in workstations and select edge/server configurations where airflow and power budgets are provisioned, while maintaining operational consistency for repeatable rollouts.

Gigabyte focuses on pragmatic engineering for sustained operation, combining robust cooling design with service-aware features intended to support continuous workloads. The implementation aligns with data centre expectations for mechanical stability and predictable behaviour, supporting integration into standardised build guides and validation processes.

Key Applications:

• LLM and multimodal AI inference
• RAG acceleration and vector pipeline staging
• GPU rendering and 3D visualization
• Video production and transcoding pipelines
• Single-GPU edge compute acceleration

At Happyware - Server Hardware you benefit from non-binding offers tailored to your platform and deployment constraints for GV-N409DWF3-24GD rollouts, enabling accurate capacity planning and procurement alignment. For larger projects, bulk order discount options support efficient standardisation across teams and sites.