At its first Horizon customer and partner event this week, Equinix Inc. argued that the architecture of enterprise artificial intelligence is being reshaped by a simple yet hard-to-answer question: Where should inference run? For the past several years, much of the AI infrastructure conversation has centered on the supply and cost of accelerated computing. The focus has been on graphics processing units, AI factories, training clusters and the unprecedented capital buildout required to support them.
Tag: Equinix
Artificial intelligence is forcing companies to change almost every aspect of their business. From operations to hiring to sales and training, change is happening faster than ever. One aspect of this change that has flown under the radar is the need for companies to rethink their business continuity plans. AI is pressuring enterprises to move beyond traditional ideas of resilience and toward architectures and operating models that assume continuous, systemic disruption — and can keep the business running anyway.
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From resilience to survivability: How AI forces a rethink of business continuity
Digital infrastructure company Equinix Inc. recently launched a private cloud service that allows organizations to manage their own Nvidia Corp. DGX supercomputing infrastructure for building custom generative artificial intelligence models.