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The company's Confidential Computing technology, introduced at Google Cloud Next OnAir, leverages the Secure Encrypted Virtualization capabilities in AMD's second-generation EPYC CPUs, allowing cloud providers to optionally encrypt guest VMs, protecting them from administrator tampering.
The company has developed agent-based intelligence to make the Linux kernel application-aware, with the goal of enabling hands-off, real-time performance optimization for better throughput and lower cost. Data-driven tuning allows the product to learn from the workloads it manages.
The company has announced the availability of its promised quantum computer with a quantum volume of 64, also naming publicly the signing of J.P. Morgan Chase as a reference customer. Honeywell has been researching quantum computing for a decade, with the initiative exiting stealth in December 2019.
The COVID-19 pandemic may have prevented attendees from descending on Seattle for Build, but it didn't stop the company from rolling out a bevy of product announcements. Microsoft showcased how it is putting AI into action by executing the technology at scale and democratizing the technology to a larger user base.
In a sign that public cloud has arrived as a player in high-performance computing, AWS, Microsoft Azure, Google Cloud and IBM have joined a public-private partnership with academic, industry and public-sector powerhouses to pledge free compute resources for COVID-19 researchers.
While a minority of IT decision-makers persist in swimming against the public cloud tide, a general concern about the potential for lock-in is not supported by the successes enterprises have seen in their cloud deployments, and their own embrace of locking in workloads to specific cloud providers.
Following years of relative silence on hybrid cloud, AWS Outposts was made generally available at re:Invent 2019 following a yearlong incubation period. It is aimed at workloads with low-latency requirements and data sovereignty or regulatory needs, and is the always-connected counterpoint to the ruggedized AWS Snowball and Snowball Edge products.
The company's second-generation CPUs incorporate years of improvements despite following the first generation by just one year. While hurdles remain for transitioning enterprise workloads from x86-64 to Arm, Graviton2 has broader implications than EC2 as the center of Amazon's custom silicon projects and as the public cloud leader embraces hybrid deployments with Outposts.
The company continues to expand its portfolio with dispersed computing specialist Packet, adding bare-metal compute capacity, partnerships with telcos and wireless tower owners, and deep experience in the automation and orchestration of workload and network deployments and operations.
AMD EPYC-powered compute instances on public cloud platforms are a serious competitor to Intel, providing savings for processing tenant workloads without requiring any recompilation because AMD and Intel share the x86-64 instruction set. This makes for a more compelling migration story compared with Arm-powered processors including AWS Graviton.
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