NVIDIA Mission Control
2 use cases using this technology
MediaTek Accelerates AI Development With an AI Factory
MediaTek
MediaTek established an on-premises AI factory powered by NVIDIA DGX SuperPOD with NVIDIA Blackwell-based systems to accelerate enterprise AI efforts, including development of its Breeze series LLMs and a 480-billion-parameter traditional-Chinese model. The AI factory processes approximately 60 billion tokens per month for inference and completes over 24,000 model-training iterations monthly, training models exceeding 480 billion parameters within one week (versus 7-billion-parameter models in a week previously). Using NVIDIA NIM and TensorRT-LLM, MediaTek achieved a 40% improvement in inference speed and 60% increase in token throughput. NVIDIA Mission Control consolidated GPU provisioning and system monitoring, while AI-assisted code completion and an AI agent for chip design documentation reduced documentation time from weeks to days. NVIDIA Riva was integrated into NVIDIA DGX Spark for agentic voice control features like internet search, calendar and messaging.
Penn Advanced Research Computing Center (PARCC)
University of Pennsylvania
Flexential and the University of Pennsylvania's Penn Advanced Research Computing Center (PARCC) launched a phased deployment of an NVIDIA DGX SuperPOD with DGX B200 systems and NVIDIA Quantum-2 InfiniBand networking, housed at Flexential's Philadelphia-Collegeville, Pennsylvania colocation data center, to support the university's next-generation research computing infrastructure. AHEAD, a longtime provider of enterprise IT services for Penn, handled off-site rack integration and on-site cabling.