Some in the industry are scratching their heads about why such staff cuts are necessary as data center spending continues to accelerate to meet the needs of AI-intensive workloads.
In an outdoor trial, SoftBank’s AI-RAN infrastructure built on Nvidia AI Enterprise achieved carrier-grade 5G performance while using excess capacity to concurrently run AI inference workloads.
The hardware provider’s stock is down nearly 20%, its auditor quit last week, and it’s facing delisting. But this has all happened before, and enterprise customers aren’t likely to be fazed, analysts say.
Data centers orbiting the earth can ease terrestrial energy constraints, allow for rapid deployment and scalability and reduce operating expenses by ‘orders of magnitude,’ company says.
However, the chipmaker’s dramatic claim for the performance gains of its GPUs is over a 10-year span, and only applies to one type of calculation.
