Joel Lopez1 Jeffrey Tay2
1AI Platforms Solutions Consultant, Fujitsu Australia Limited
2AI Specialist, NetApp
Access to relevant data and development platforms is crucial for the growth of AI research. In other words: more access to data alongside optimised infrastructures leads to an accelerated completion of AI projects with higher accuracy. Yet, some processes adopted by research teams are still challenging and outdated, which can impose obstacles within a scientists’ workflow or ML/DL projects.
Working with industry-leading partners NetApp and NVIDIA, Fujitsu has created an AI Test Drive – a cloud-based AI Platforms stack. It provides data scientists with direct access to a variety of the latest tools, frameworks, and technologies they need to evaluate their projects/models and build a modernised workflow that can truly scale the research objectives.
The Fujitsu-NetApp-NVIDIA AI Test Drive is the perfect example of showcasing the latest AI research strategy available from dynamically connecting datasets to different computational architectures by adopting streamlined methods of storage manipulation. The AI Test Drive also decouples traditional services such as resource provisioning from the environment to deliver only the necessary components required by users for their projects.
Explore the platform with Joel Lopez, AI Platforms Solutions Consultant, Fujitsu Australia Limited and Jeffrey Tay, AI Specialist in diving into the rich features offered by the collaborative effort.
Biography:
Jeffrey Tay is an AI Specialist at NetApp covering the APAC region. Prior to this current position, he held a variety of technical, sales and business development roles in the HPC, AI and Data Analytics domain; where he helped customers across multiple industries dramatically accelerate their time to market.
In this role at NetApp, he is focused on ensuring that data critical to customer’s HPC and AI applications can flow seamlessly, whether they reside on the Edge, Core or Cloud. He is based in Singapore.
Joel Lopez (Fujitsu) is the AI Platforms Solutions Consultant for Fujitsu Australia Limited. Joel has over 23 years of experience in the IT Industry across Consulting, Architecture, Presales and Product Management roles with a strong focus on large enterprise and multi-national projects. He has a strong background on delivering customer business outcomes by combining multiple technology layers such as General Purpose and End-point Computing, Software Defined Solutions, High Performance Computing and Machine/Deep Learning Platforms. He has developed the first AI Test Drive facilities in OCEANIA for providing access to Researchers, Data Scientists, Domain Experts and customers wanting to validate and benchmark their data and codes using the latest purpose-built AI Infrastructure.