ClusterTech co-hosts a live webinar with Pure Storage and NVIDIA
2020-10-22

Artificial Intelligence (AI) has drastically transformed the world by empowering changes in many industries. In order to help organisations understand more and leverage AI to thrive in turbulent times during COVID-19 pandemic, ClusterTech co-hosted a live webinar with Pure Storage and NVIDIA on 22 October, 2020.

 

Mr Steven Leung, Head of Sales (HK) at ClusterTech, shared the cooperation background and the market trend of HPC and AI convergence. And Mr Samuel Lo, General Manager of NVIDIA Enterprise for Hong Kong and Macau, and Rajesh Nair, Sales Director, Asia – FlashBlade, at Pure Storage, Inc., shared on how to jumpstart AI, accelerate AI workflow and share use cases.

As a pioneer in high performance computing and AI, ClusterTech has 20 years’ experience and a wide network of partners such as NVIDIA and Pure Storage. With the expertise and strong partner network, ClusterTech is able to provide targeted and tailor-made products and services, which enables lower cost and higher efficiency.

 

 

About Pure Storage:

One of the fastest growing enterprise IT companies in history, Pure Storage enables customers to quickly adopt next-generation technologies, including artificial intelligence and machine learning, to help maximise the value of their data for competitive advantage. Pure's data solutions enable SaaS companies, cloud service providers, and enterprise and public sector customers to deliver real-time, secure data to power their mission-critical production, DevOps, and modern analytics environments in a multi-cloud environment.

 

About NVIDIA:

Fueled by the massive growth of the gaming market and its insatiable demand for better 3D graphics, NVIDIA has evolved the GPU into a computer brain at the intersection of virtual reality, high performance computing, and artificial intelligence. NVIDIA GPU computing has become the essential tool of the da Vincis and Einsteins of our time. For them, NVIDIA has built the equivalent of a time machine.