ASUS ProArt Station PD700 (RTX 6000 Ada 48GB Config)

The ASUS ProArt Station PD700 configured with the NVIDIA RTX 6000 Ada Generation GPU represents a purpose-built professional workstation platform engineered for demanding enterprise, datacenter, and AI compute environments. At its core, the RTX 6000 Ada Generation card delivers 48 GB of ECC-protected GDDR6 memory across a 384-bit memory interface, underpinned by NVIDIA's Ada Lovelace architecture with fourth-generation Tensor Cores and third-generation RT Cores. This architecture enables substantial double-precision and single-precision floating-point throughput, making the system well-suited for large-scale AI model training, inference pipelines, and scientific simulation workloads that require high memory capacity and bandwidth.

The ProArt Station PD700 chassis is designed to accommodate the thermal and power demands of full-length, high-TDP professional GPUs. The RTX 6000 Ada carries a 300 W TDP and operates as a passive, dual-slot card relying on system airflow management—a design consideration that ASUS addresses through the PD700's engineered cooling architecture. The platform supports PCIe 4.0 connectivity, ensuring low-latency, high-bandwidth communication between the GPU and host CPU. NVLink support on the RTX 6000 Ada additionally allows multi-GPU configurations to present a unified 96 GB memory pool when two cards are bridged, a capability relevant for extremely large model training or high-resolution simulation tasks.

Targeted at enterprise IT procurement teams, creative studios, research institutions, and AI infrastructure operators across the UAE, GCC, EMEA, and APAC regions, this configuration from Omnixon Global delivers a validated, production-ready platform. The combination of ASUS ProArt workstation engineering with NVIDIA's highest-tier professional GPU in the Ada Lovelace generation results in a system capable of sustaining continuous professional workloads including generative AI, 3D rendering, computational fluid dynamics, medical imaging, and large language model fine-tuning at scales not achievable on consumer-grade hardware.

Ideal for

• Large-scale AI and deep learning model training leveraging 48 GB ECC GDDR6 and fourth-generation Tensor Cores for frameworks such as PyTorch and TensorFlow
• Enterprise 3D rendering and real-time visualization in applications such as Autodesk Maya, 3ds Max, and Chaos V-Ray requiring certified professional GPU drivers and high VRAM capacity
• Medical imaging and diagnostic AI inference workloads where ECC memory integrity and NVIDIA CUDA ecosystem support are mandatory operational requirements
• Computational fluid dynamics (CFD) and finite element analysis (FEA) simulations in engineering environments that demand high double-precision throughput and large on-card memory
• Generative AI and large language model fine-tuning tasks, with optional NVLink dual-GPU configurations enabling up to 96 GB unified VRAM for extremely parameter-dense models
• Post-production and digital content creation workflows including 8K video encoding, compositing, and real-time ray-traced previews in broadcast and film studio environments

Technical specifications

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