The latest release of Apache Kafka delivers the queue-like consumption semantics of point-to-point messaging. Here’s the how, ...
With AI changing so fast, it’s a juggle for companies to ensure they can deliver the best performance now while also future-proofing for unknown AI models or a completely different approach to ...
Abstract: In the era of large-scale machine learning, large-scale clusters are extensively used for data processing jobs. However, the state-of-the-art heuristic-based and Deep Reinforcement Learning ...
Google DeepMind recently released GenAI Processors, a lightweight, open-source Python library built to simplify the orchestration of generative AI workflows—especially those involving real-time ...
Elise London is the CTO of Lakeside Software, where she oversees the design and delivery of its digital employee experience platform. I still remember when GPUs burst onto the scene 25 years ago. More ...
Abstract: The transition to large-scale new energy systems has greatly increased the complexity, volume, and multidimensionality of power data in the cloud, making data management more challenging and ...
Just as GPUs once eclipsed CPUs for AI workloads, Neural Processing Units (NPUs) are set to challenge GPUs by delivering even faster, more efficient performance—especially for generative AI, where ...
Hammerspace, the company orchestrating the next data cycle, and Parallel Works, provider of the ACTIVATE control plane for AI and HPC resources, are collaborating on a unified solution for compute and ...
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