ASUS ProArt Station PE700 (RTX Pro 6000 Blackwell 96GB Config)

The ASUS ProArt Station PE700 configured with the NVIDIA RTX Pro 6000 Blackwell GPU represents a professional-grade workstation platform engineered for the most demanding enterprise visual computing, AI inference, and data science workloads. Built on NVIDIA's Blackwell architecture, the RTX Pro 6000 delivers 96 GB of ECC-protected GDDR7 memory across a 512-bit memory bus, providing exceptional memory bandwidth and capacity for large-scale model inference, high-fidelity simulation, and multi-stream media processing. The ProArt Station PE700 chassis is purpose-built to accommodate full-length, high-TDP professional GPUs, with robust power delivery and thermal management suited to sustained enterprise operation.

The RTX Pro 6000 Blackwell GPU integrated into this configuration brings fifth-generation Tensor Cores and fourth-generation RT Cores to professional workflows, enabling accelerated AI-driven creative tools, physically accurate ray tracing at production scale, and high-throughput deep learning training and inference tasks. With support for NVIDIA NVLink for multi-GPU configurations and PCIe 5.0 host connectivity, the platform is positioned for workloads that require both raw compute throughput and ultra-low-latency GPU-to-GPU communication. The 96 GB framebuffer capacity is particularly suited to large language model (LLM) inference, multi-billion-parameter AI workloads, and complex 3D scene rendering where VRAM capacity is a primary bottleneck.

As part of the ASUS ProArt Station PE700 lineup, this configuration targets enterprise IT departments, AI research teams, media and entertainment studios, and engineering simulation groups requiring a validated, ISV-certified professional workstation. The system is available through Omnixon Global for enterprise buyers across the UAE, GCC, EMEA, and APAC regions, offering a professionally supported procurement pathway for organizations deploying GPU-accelerated infrastructure at scale.

Ideal for

• Large language model (LLM) inference and generative AI workloads requiring high VRAM capacity and Tensor Core throughput
• High-fidelity 3D rendering and real-time ray tracing for architectural visualization, VFX, and media production pipelines
• Scientific and engineering simulation including CFD, FEA, and molecular dynamics leveraging CUDA-accelerated compute
• AI-assisted content creation workflows using NVIDIA DLSS, RTX Remix, and creative application GPU acceleration
• Multi-display professional visualization and digital twin deployments in industrial and enterprise environments
• Deep learning model training and data science workloads on-premises as an alternative or complement to cloud GPU instances

Technical specifications

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