Dai Yang

Dai Yang is a senior solution architect at NVIDIA. He is responsible for tailoring customer-optimized solutions with GPU and networking products, with a strong focus on industry, automotive, and HPC customers. Dai is actively involved in planning, deployment, and training of DGX-solutions in the EMEA region. Prior to joining NVIDIA, Dai was research associate at Technical University of Munich, where he worked on various aspects of high-performance computing, and contributed draft for standard extensions of MPI to the MPI forum. Dai is part of the winning team of the Hans Meuer Award at ISC 2020.
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Posts by Dai Yang

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Technical Walkthrough 2 Jan 12, 2023

Autoscaling NVIDIA Riva Deployment with Kubernetes for Speech AI in Production

Speech AI applications, from call centers to virtual assistants, rely heavily on automatic speech recognition (ASR) and text-to-speech (TTS). ASR can process... 13 MIN READ
Technical Walkthrough 1 Aug 25, 2021

Deploying NVIDIA Triton at Scale with MIG and Kubernetes

NVIDIA Triton Inference Server is an open-source AI model serving software that simplifies the deployment of trained AI models at scale in production. Clients... 24 MIN READ
Technical Walkthrough 1 Jul 26, 2021

Accelerating Volkswagen Connected Car Data Pipelines 100x Faster with NVIDIA RAPIDS

Connected cars are vehicles that communicate with other vehicles using backend systems to enhance usability, enable convenient services, and keep distributed... 18 MIN READ
Technical Walkthrough 1 Nov 30, 2020

Getting Kubernetes Ready for the NVIDIA A100 GPU with Multi-Instance GPU

Multi-Instance GPU (MIG) is a new feature of the latest generation of NVIDIA GPUs, such as A100. It enables users to maximize the utilization of a single GPU by... 13 MIN READ