Kalinagaswamy: Both have their own challenges. Scale-up may have hundreds of GPUs or accelerators, and they have to work in a scale-up network. Scale-out is point-to-point. They cannot make that many ...
Three AI data center scaling strategies are scale-up, scale-out, and scale-across. Scale-up is within a rack; scale-out is between racks; scale-across is between data centers. Each of the three uses a ...
Scaling up new technologies is a strategic challenge requiring foresight and disciplined execution. Success demands designing ...
Hyperconverged infrastructure (HCI) is taking the data center by storm. In fact, a recent survey conducted by 451 Research found that 40 percent of IT organizations have already deployed an HCI ...
[SPONSORED GUEST ARTICLE] The explosive growth of artificial intelligence (AI) is reshaping what’s possible across industries, but it’s also exposing fundamental weaknesses in data center connectivity ...
Chip designs are busting out beyond the reticle limits of lithography machines, making chiplets and high-bandwidth, in-package die-to-die interconnects inevitable. And AI training workloads are ...
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