Quanta Cloud Technology (QCT), a global data center provider, announced its support for the NVIDIA Enterprise AI Factory. The company is leveraging validated designs with its AI-optimized QuantaGrid D75E-4U server. Powered by NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs, the system accelerates advanced enterprise AI workloads.

These workloads include generative AI, robotics, simulation, agentic AI, and digital twin technologies. QCT aims to provide enterprises with secure, scalable, and efficient infrastructure to deploy modern AI applications with reduced risks.

Accelerated AI Infrastructure for Enterprises

As an NVIDIA system partner, QCT helps enterprises deploy AI factories on-premises using NVIDIA Blackwell accelerated computing. The QuantaGrid D75E-4U integrates computing, networking, storage, and software for faster deployment and reduced complexity.

“Enterprises are rapidly evolving their AI strategies and need infrastructure to match the scale,” said Mike Yang, President of QCT. “With the QuantaGrid D75E-4U powered by NVIDIA RTX PRO 6000 Blackwell GPUs, we enable customers and enhance our own manufacturing with AI-driven automation.”

AI-Driven Transformation in Manufacturing

QCT applies its own AI-ready infrastructure internally to power smart factories. The company uses NVIDIA RTX PRO servers to create digital twins for production lines. These twins simulate operations, support predictive maintenance, and optimize robotics coordination. They also improve vision-based inspection for quality control.

This approach highlights how QCT’s AI infrastructure drives business outcomes through automation, efficiency, and smarter operations.

Next-Generation NVIDIA Blackwell GPUs

Built on the NVIDIA Blackwell architecture, the RTX PRO 6000 GPU delivers next-generation enterprise AI performance. With 96GB of high-speed GDDR7 memory, it accelerates real-time inference, model fine-tuning, and large-scale enterprise applications.

Key applications include:

  • Computer Vision at Scale – Enterprises can deploy video analytics, defect detection, and high-resolution vision pipelines for automation and mission-critical insights.
  • LLM Inference and Generative AI – Optimized for NVIDIA NIM microservices and NeMo, the system supports secure on-premises large language model deployments.
  • Digital Twin Simulation – With NVIDIA Omniverse, enterprises create accurate digital replicas of factories to test, optimize, and reduce risks.

Comprehensive Portfolio for AI Workloads

Alongside the QuantaGrid D75E-4U, QCT offers a broad portfolio of NVIDIA MGX and HGX systems. These range from 1U to 10U, supporting multiple NVIDIA GPUs with QCT’s advanced system design. Features include optimized airflow, redundant power, and tool-less serviceability for easier deployment.

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News Source: Einpresswire.com