Session: Leveraging High Performance Object Storage for today's AI, Data Analytics and HPC applications
A new world of modern applications has emerged as adoption of Cloud, Artificial intelligence (AI), Analytics and HPC (High Performance Computing) has accelerated. Applications in these domains are generating tremendous amounts of unstructured data. In fact, a study shows that 80% of data generated worldwide will be unstructured by 2025. This has led to the urgency of solving two big problems:
1) It has resulted in requirement of storage systems which can store and manage unstructured data.
2) In addition, the storage systems should be able to provide access to huge amounts of data at high speed and be scalable.
These problems can be addressed by High Performance Object Storage systems, which can store large volumes of unstructured data and meet the demands for high speed, low latency, and scale from storage. Moreover, object storage systems provide low-cost storage for large capacity of data and are suitable for AI, Analytics, HPC and Cloud native applications. Also, in the past few years’ adoption and management of object storage has been simplified with Amazon S3 API which has become the standard protocol for leveraging object storage.
This session will give information about High Performance Object Storage and its typical features which can help with the growing storage demands for AI, Analytics and HPC applications.
Bio
Madhu Thorat is working as a Software Architect at IBM. She has 18+ years of experience in the Software industry and for the past few years she has been working in Cloud storage area. Her current focus is on High Performance Object Storage to enable object storage for Cloud.
She has presented in various conferences such as International Conference of High Performance Computing (HPC) Japan 2022, Society of Women Engineers (SWE) Conference 2022, WomenTech Global Conference 2022 and IBM Regional Technical Exchange (RTE) conference.
Madhu is an active blogger on relevant technical topics and her blogs can be found on linkedin (www.linkedin.com/in/madhu-thorat-punjabi) and https://wordpress.com/home/madhumthorat.wordpress.com
She also has 2 US patents which are listed on linkedin (www.linkedin.com/in/madhu-thorat-punjabi)
Madhu strongly supports initiatives that support women pursuing careers in STEM fields. She is currently Global Ambassador for SWE. She is also a founding member of the “IBM Labs Storage Women Pragathi” group, which is responsible for taking various initiatives for women employees in IBM India Storage Labs.