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IBM And AMD Unite To Improve Security On Their Virtual Machines

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IBM: The recent days have seen some significant declarations in the space of man-made consciousness (AI). Sony entered the field of AI-fueled robots with the dispatch of Airpeak, and Silicon Valley-based startup Mipsology joined hands with Japanese programming improvement firm OKI IDS to additional AI-based picture handling in Japan utilizing Field-Programmable Gate Arrays (FGPAs). Presently, there’s another expansion to this rundown.


Today, 12th November 2020, IBM and AMD announced a multi-year joint development partnership under which the two firms will work together to extend and improve their security and AI offerings. At the heart of the agreement is the aim to further Confidential Computing, which is a technology that encrypts data running on virtual machines—while workloads are running—using hardware solutions.

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This provides an additional layer of security; inhibiting malicious actors from stealing data in the event of a break-in. The goal of the partnership is to ease hybrid cloud adoption; for highly regulated businesses or organisations that are concerned about unauthorised access to data in use in the public cloud. The two firms aim to realise this idea with open-source software; standards; as well as system architectures in hybrid cloud environments; including AI and high-performance computing (HPC) workloads; and also others that use virtualisation and encryption.


“The commitment of AMD to technological innovation aligns with our mission to develop as well as accelerate the adoption of the hybrid cloud to help connect; secure; and power our digital world”, said Dario Gil, Director of IBM Research. Meanwhile the Executive Vice President and CTO of AMD, Mark Papermaster, claimed; “this agreement between AMD and IBM aligns well with our long-standing commitment to collaborating with leaders in the industry. AMD is excited to extend our work with IBM on AI, accelerating data center workloads; and improving security across the cloud.”


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