Who are AMD, Intel's new manycore monster CPUs for?
Intel and AMD are launching high-core-count CPUs for server consolidation, but organizations should evaluate risks, costs, and disaster recovery capabilities before adoption, as hyperscale providers are better equipped for manycore systems.
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Intel and AMD are introducing high-core-count CPUs, such as Intel's 128-core Granite Rapids Xeon 6 and AMD's 192-core Turin Epyc, aimed at server consolidation. These processors promise to reduce rack space and power consumption significantly. However, the article cautions organizations against rushing to adopt this technology due to the increased risk associated with manycore systems. A single failure in a manycore server could lead to catastrophic consequences, and organizations may not be equipped to handle such risks. Additionally, the high memory requirements for these CPUs could lead to increased costs, particularly if utilization rates are low. The article emphasizes the importance of evaluating disaster recovery capabilities and software licensing implications before transitioning to these new systems. It suggests that hyperscale cloud providers like AWS and Google are better suited for these manycore machines due to their expertise in managing hardware risks and operationalizing such technology. Ultimately, while the advancements in CPU technology are impressive, organizations should carefully consider their readiness and the potential challenges before making significant investments.
- Intel and AMD are launching high-core-count CPUs for server consolidation.
- Manycore systems increase risk, as a single failure can have severe consequences.
- High memory requirements may lead to increased costs and low utilization rates.
- Organizations should assess disaster recovery and software licensing before adopting new technology.
- Hyperscale cloud providers are better positioned to manage manycore systems effectively.
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13 commentsIt's been impressive how much SVT-AV1 has increased performance between releases. SVT-AV1 2.2 is a significant step up from 2.1:
That’s also because my favourite software synthesizers are increasingly modelling instruments, rather than sample based instruments. And that reduces the need for RAM and storage, but increases the thirst for CPU cycles.
I compile most of my OS and I would like it faster. I also like being able to compile and game at the same time. Or run many OSs in VMs at the same time.
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It really should mean that cloud data centres should be able to greatly increase capacity without getting larger in terms of physical size. That is a huge net win for the cloud providers.
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