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How Nvidia became a trillion-dollar company

CIO Business Intelligence

Then in 2006 Nvidia introduced a new GPU architecture, CUDA, that could be programmed directly in C to accelerate mathematical processing, simplifying its use in parallel computing. It’s also in the service business, operating its own cloud infrastructure for pharmaceutical firms, manufacturing, and others.

Company 246
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CIOs weigh the new economics and risks of cloud lock-in

CIO Business Intelligence

Caveat emptor in the cloud Bob McGowan, CIO of Regeneron Pharmaceuticals, acknowledges the risk of cloud concentration is valid but he is more concerned about the readiness of SaaS partners. “If Here is a look at how CIOs view the nature and nuances of cloud concentration risks — and what many are doing to mitigate them.

Cloud 328
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AI to go nuclear? Data center deals say it’s inevitable

CIO Business Intelligence

But he also notes that there will be innovations within the data center itself — in the GPUs and agile architecture — to pinpoint and address consumption needs. “AI Additional innovation with respect to distributed AI architectures is also on the horizon.

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CIOs recalibrate multicloud strategies as challenges remain

CIO Business Intelligence

If we can put Oracle hardware and a subset of Oracle Cloud deep inside each of the hyperscalars, [customers] will get insane performance that they require for Oracle running SAP or whatever. Bob McCowan, CIO of Regeneron Pharmaceuticals, says taking a cloud-native approach can help ease some multicloud challenges.

Strategy 321
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Nvidia accelerates enterprise adoption of generative AI

CIO Business Intelligence

“The AI solution stack varies according to how it will be used, which implies one must have intimate understanding of the AI use case — your AI workers and the end domain in which they work — and how to map the needs of the use case to the silicon, software, system hardware, and services.”

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Sandbox AQ CEO: Enterprises must prep for quantum threats

CIO Business Intelligence

Or of formulas and know-how and trade secrets at pharmaceutical and biotech companies. One does not have to buy new hardware. For a large enterprise architecture, we need a control plane and a data plane, and we need to separate the control plane from the data plane. What would the new protocol have been?

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Expanding the Cloud - Cluster Compute Instances for Amazon EC2.

All Things Distributed

Other industries using Amazon EC2 for HPC-style workloads include pharmaceuticals, oil exploration, industrial and automotive design, media and entertainment, and more. There is no more need for hardware tinkering to keep the clusters up and running (I spent many nights doing this; there is no glory in it). until today.

Cloud 98