IBM and AMD signed a multi-year joint development agreement to enhance and extend the security and artificial intelligence (AI) offerings of both companies. With this joint development agreement, both companies aim to build upon open-source software, open standards, and open system architectures to drive confidential computing in hybrid cloud environments.
AMD extends its work with IBM on AI
As securing sensitive data still remains a challenge for most companies, cybersecurity is currently the top barrier for adoption and the top criteria for selection of cloud providers, according to data from IBM’s Institute for Business Value. This collaboration also supports a broad range of accelerators across high-performance computing (HPC), and enterprise-critical capabilities like virtualization and encryption.
Dario Gil, Director of IBM Research, said,
“The commitment of AMD to technological innovation aligns with our mission to develop and accelerate the adoption of the hybrid cloud to help connect, secure and power our digital world. IBM is focused on giving our clients choice, agility and security in our hybrid cloud offerings through advanced research, development and scaling of new technologies.”
Confidential computing for sensitive information
Confidential computing removes the remaining barrier to hybrid cloud adoption for highly regulated businesses or any organization concerned about unauthorized third-party access to data in use in the public cloud, Gartner says.
A new security model called confidential computing protects data while it’s in use. It enables hardware, that allows the data associated with a running virtual machine (VM) to be encrypted, including while workloads are running. This capability of confidential computing prevents cyberattacks that target confidential information.
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