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OpenAI has included Alphabet's Google Cloud among its suppliers to meet escalating demands for computing capacity, according ...
As someone who has spent the better part of two decades optimizing distributed systems—from early MapReduce clusters to ...
Parallel Works launched Activate AI, a new control plane for deploying and managing AI and ML workloads that require ...
For years, cloud computing was synonymous with centralization. That era is over. Enter: the distributed cloud.
Badia’s research has significantly contributed to parallel programming models for multicore and distributed computing. Her recent work has focused on the digital continuum, proposing new programming ...
AI and data: Get ready for extreme parallel computing Headline news and analysis: Breaking Analysis: How Nvidia is creating a $1.4T data center market in a decade of AI ...
Successful edge AI deployments require deep integration between edge and cloud, complex orchestration and new approaches to data management.
However, the rapid increase in algorithm complexity and the diminishing returns of technology scaling have led to a focus on heterogeneous computing. This approach combines domain-specific compute ...
Parallel computing is the fundamental concept that, along with advanced semiconductors, has ushered in the generative-AI boom.
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