Gigabyte GP-N409TGAMING-24GD Enterprise Ada Lovelace Accelerator

The Gigabyte GP-N409TGAMING-24GD Enterprise Ada Lovelace Accelerator is built on NVIDIA's Ada Lovelace architecture, housing an RTX 4090 Ti-class GPU die fabricated on TSMC's 4N process node. The accelerator integrates third-generation RT Cores, fourth-generation Tensor Cores, and a massively expanded CUDA core count to deliver exceptional throughput across parallel compute, AI inferencing, and real-time graphics workloads. The 24GB GDDR7 frame buffer operates over a wide memory bus, providing the bandwidth headroom required for large-model inference tasks, scientific visualization, and multi-stream media processing at enterprise scale. The PCIe 5.0 x16 host interface doubles the theoretical bandwidth compared to PCIe 4.0, ensuring the accelerator is never host-limited in data-intensive pipeline scenarios.

Designed and validated for edge AI inference nodes and high-end workstation environments, the GP-N409TGAMING-24GD supports NVIDIA's full software ecosystem including CUDA 12.x, cuDNN, TensorRT, and NVENC/NVDEC hardware encoding and decoding engines. The card's Tensor Cores operate with sparsity acceleration and support FP8, FP16, BF16, INT8, and INT4 precision formats, enabling efficient deployment of large language models, diffusion models, and computer vision inference pipelines without the overhead of full data-center GPU infrastructure. Gigabyte's enterprise-validated thermal solution incorporates a triple-fan WINDFORCE cooling assembly with alternate spinning fan technology, composite heatpipes, and a full-coverage vapor chamber base plate to sustain peak boost clocks under sustained enterprise workloads.

The accelerator is mechanically housed in a dual-slot, triple-fan form factor compatible with standard ATX and E-ATX workstation chassis, and its power delivery system features a 16-pin (12VHPWR) connector supporting up to 600W TDP profiles for maximum sustained throughput. Display outputs include three DisplayPort 2.1 and one HDMI 2.1a connector, enabling high-resolution visualization workstations alongside compute deployments. Gigabyte's enterprise validation program ensures the card undergoes rigorous thermal cycling, EMI compliance, and long-duration stability testing appropriate for professional and light edge-server environments launched in Q1 2026.

Ideal for

• Large language model (LLM) inference serving on edge AI nodes where data sovereignty requirements preclude cloud offload
• Generative AI image and video synthesis pipelines using diffusion models requiring large VRAM capacity and high Tensor Core throughput
• Scientific computing and simulation workloads in life sciences, fluid dynamics, and computational chemistry leveraging CUDA 12.x parallelism
• High-performance visualization workstations for 3D rendering, VFX production, and real-time ray tracing in architectural and engineering design
• Multi-stream 4K/8K video transcoding for broadcast and media production environments using NVENC/NVDEC hardware acceleration
• AI-assisted medical imaging inference workstations processing CT, MRI, and pathology datasets with TensorRT-optimized models

Technical specifications

Available from Omnixon Global. Submit an RFQ and our team will confirm configuration and availability for your order.