The Expansion of AI and Edge Computing in the Cloud
Advanced systems, technologies, and solutions migrating into the cloud and edge computing is creating both opportunities and challenges for those creating the future infrastructure involved.
Our society is continuing to adopt more connectivity in products and solutions, and these systems are expanding the cloud and IoT in leaps and bounds. Edge computing, created to address bandwidth and latency issues in cloud-based systems, is rapidly being enhanced by the addition of AI.
This expansion of AI into edge systems makes data management more valuable than ever, and the role of supporting infrastructure technologies like flash memory is becoming increasingly important.
The collection and analysis of data is essential to make the most and best use of AI technologies like machine learning, deep learning, and generative AI. The demand for next-generation flash memory to store this valuable data is growing, as are demands for rapid development of AI in both central server and edge applications in the cloud.
In this podcast, we talk to Axel Stoermann, Chief Technology Officer and VP at KIOXIA Europe, about his observations of the industry.
SHOW NOTES
01:12 – Importance of Being Connected
06:53 – Hardware that Supports AI
12:42 – What Does KIOXIA Do?
18:29 – Future Product Releases
23:12 – Energy & Data
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An Army veteran, Alix Paultre was a signals intelligence soldier on the East/West German border in the early ‘80s, and eventually wound up helping launch and run a publication on consumer electronics for the US military stationed in Europe. Alix first began in this industry in 1998 at Electronic Products magazine, and since then has worked for a variety of publications in the embedded electronic engineering space. Alix currently lives in Wiesbaden, Germany.
Also check out his YouTube watch-collecting channel, Talking Timepieces.
