Hewlett Packard Enterprise (HPE) has announced the launch of Memory-Driven Computing Sandbox which can support the government in its journey to advance food security and agriculture in the country. Available through HPE Digital Life Garage in Dubai, HPE’s Memory-Driven Computing Sandbox will enable developers to drive rapid proofs-of-concept that will demonstrate dramatic performance gains never before possible in the food security and agriculture industry.
Designed to dramatically improve performance and efficiency and unleash a new era of intellectual discovery and business opportunities, HPE’s Memory-Driven Computing is a new computing architecture that puts memory, not processing, at the center of the computing platform. Through HPE Digital Life Garage, organizations will be able to process vast amounts of data significantly faster and reduce the time to extract insight, ultimately delivering real-time intelligence. The technology can support UAE government in its journey to position themselves as the world’s leading hub in innovation-driven food security.
Globally, HPE has also collaborated with global research partnership the CGIAR System Organization (CGIAR) to uncover insights about food security challenges, now intensified due to COVID-19. By applying HPE’s Memory-Driven Computing Sandbox to CGIAR’s data sets, HPE will help CGIAR accelerate solutions to these global challenges by enabling modelling of food systems.
CGIAR needs to generate a timely, high-frequency picture of what is happening in “food basket” locations – or areas of significant food production – around the world. A complete picture often requires data from multiple sources including crop performance, weather records, economic activity, and surveys.
Insights from this data help researchers answer questions like:
• How is economic activity and food movement happening in food baskets on a weekly basis?
• How can these analytics guide the agriculture sector and its most vulnerable participants in a period of increasing climate variability and extreme weather events?
• How can public, private, and non-profit actors meaningfully share all of this data to enable better outcomes for all?
• How can stakeholders track and measure progress toward the UN’s Sustainable Development Goals for zero hunger by 2030?
Insights from this data will enable CGIAR to see and increasingly predict how food security challenges are unfolding from the COVID-19 crisis to inform policymakers, food relief actors, and other stakeholders. Using CGIAR’s existing technology, emissions analysis on one point on the Earth could take four to five hours to run. Today, CGIAR can run multiple analyses over multiple points with sufficient frequency to inform timely action on food security.
