AI workloads
PulseAugur coverage of AI workloads — every cluster mentioning AI workloads across labs, papers, and developer communities, ranked by signal.
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HPC and AI workloads clash on shared clusters, solutions explored
Jeff Layton's exploration delves into the challenges of managing both high-performance computing (HPC) and AI workloads on shared clusters. The article discusses potential solutions for reconciling the distinct demands …
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Kubernetes and Envoy AI Gateway streamline AI workload management
The articles discuss the implementation and architecture of MLOps, focusing on running AI workloads at scale using Kubernetes. Key topics include using KServe for model serving on Kubernetes and the development of Envoy…
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HPE updates infrastructure for hybrid AI and agentic workloads
Hewlett Packard Enterprise (HPE) is updating its hardware, private cloud, and networking solutions to support the growing demand for agentic AI workloads. While public cloud adoption has been significant, a substantial …
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LLMs automate FPGA accelerator design for AI workloads
Researchers have developed SECDA-DSE, a framework that integrates Large Language Models (LLMs) to automate the design of FPGA-based accelerators for AI workloads. This system uses LLMs for reasoning-guided exploration, …
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Data centers shift to battery storage, reducing diesel reliance for AI power
Data centers are increasingly adopting battery energy storage systems (BESS) as an alternative to traditional diesel generators, particularly to manage the fluctuating power demands of AI workloads. These systems can pr…