ASUS PD700-RTX4000ADA PCIe GPU Module

The ASUS PD700-RTX4000ADA PCIe GPU Module is built on NVIDIA's Ada Lovelace architecture, delivering professional-grade compute and graphics performance tailored for enterprise environments. Featuring NVIDIA RTX 4000 Ada Generation internals, this module combines fourth-generation Tensor Cores, third-generation RT Cores, and NVIDIA DLSS 3 support to accelerate AI inference, ray-traced rendering, and high-throughput compute workloads within a compact, power-efficient PCIe form factor suitable for space-constrained datacenter and workstation deployments.

The ASUS PD700-RTX4000ADA is engineered for sustained professional workloads, offering 20 GB of GDDR6 ECC memory across a 160-bit memory bus to support large model datasets, complex 3D scenes, and memory-intensive scientific simulations. ECC memory protection ensures data integrity under continuous operation, a critical requirement for regulated industries and mission-critical AI pipelines. The module draws a maximum of 130 W TDP, enabling installation in single-slot or thermally constrained rack enclosures without requiring auxiliary power connectors, which simplifies deployment across a broad range of enterprise server and workstation chassis.

Designed to meet the demands of modern AI, visualization, and engineering workflows, this GPU module supports NVIDIA RTX technology including hardware-accelerated ray tracing and AI-driven denoising, making it equally capable in visual computing applications and numerical compute tasks. It is well-suited for organizations across the UAE, GCC, EMEA, and APAC regions seeking a reliable, enterprise-validated GPU solution from ASUS, a globally recognized manufacturer with a strong presence in professional and datacenter hardware.

Ideal for

• AI inference acceleration for enterprise machine learning pipelines requiring ECC memory integrity and sustained throughput
• Professional 3D CAD, BIM, and product visualization workloads in engineering and architecture sectors
• Ray-traced rendering and real-time visualization in media production, simulation, and digital twin environments
• Scientific computing and numerical simulation workloads in research, energy, and defense sectors
• Virtual desktop infrastructure (VDI) GPU acceleration for high-performance remote workstation users
• Edge AI and compact datacenter deployments where low-power, no-auxiliary-connector GPUs are required

Technical specifications

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