Hyperconnectivity, Hyperscale Computing, And Moving Edges

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As described in “The Four Pillars of Hyperscale Computing” last year, the four core components that development teams consider for data centers are computing, storage, memory, and networking. Over the previous decade, requirements for programmability have fundamentally changed data centers. Just over a decade ago, in 2010, virtual machines would compute user workloads on CPU-centric architectures connected as networks within the data center with up to 10GB/s speeds. Five years later, software-defined networking found its way into the data center, and network speeds improved up to 40GB/s. Containerization replaced the classic virtual machine model. Over the last five years, storage has become software-defined, too, with intelligent storage in the hardware and network speeds increasing to up to 100GB/s. Today, requirements for hyperscale data...

Intel Labs Moving Mountains With Neuromorphic Computing And Photonics Technologies

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Director of Intel's Neuromorphic Computing Lab, Rich Uhlig. Screenshot from event keynote. Intel While the industry loves to combine “R&D” and we see this in every tech company’s P&L, research and development are very different. Research is high risk, market making investments and discoveries that are unattached to products. Development is applying that research and other’s IP to create an end product or services. Development is less risky. Very few companies do research, and Intel has had a heritage in research for decades. One of the most exciting aspects of working as a tech analyst is, quite frankly, being one of the first to learn of these new, research-driven, cutting-edge technologies coming down the pipeline in the not-so-distant future—from the expected to the truly mind-boggling. As such, I always look...