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Articles by Pratikkumar Patel
Optimize Data Center Efficiency for AI and HPC Workloads with Power Profiles
Exponentially growing computational demand is driving power usage higher and pushing data centers to their limits. With facilities power constrained, extracting the most performance per provisioned watt of power is crucial to optimize throughput from a data center. To help users and system administrators extract the most performance out of power-limited data centers, NVIDIA has released data center energy optimized power profiles.
[2510.03872] Datacenter Energy Optimized Power Profiles
arXiv:2510.03872 (cs) View PDF Subjects: Distributed, Parallel, and Cluster Computing (cs.DC) Cite as: arXiv:2510.03872 [cs.DC] (or arXiv:2510.03872v1 [cs.DC] for this version) https://doi.org/10.48550/arXiv.2510.03872 Submission history From: Pratikkumar Dilipkumar Patel [ view email] [v1] Sat, 4 Oct 2025 16:49:19 UTC (456 KB) Bibliographic Tools Bibliographic Explorer Toggle Bibliographic Explorer () Connected Papers Toggle Connected Papers (What is Connected Papers?) Litmaps Toggle Litmaps...
STING agonist using LNP inhibits pancreatic cancer growth
Introduction Pancreatic cancer is the third leading cause of cancer-related death in the United States.
Impact of Propeptide Cleavage on the Stability and Activity of a Streptococcal Immunomodulatory C5a Peptidase for Biopharmaceutical Development
Posttranslational modifications of proteins can impact their therapeutic efficacy, stability, and potential for pharmaceutical development. The Group AC5a peptidase (ScpA) is a multi-domain protein composed of an N-terminal signal peptide, a catalytic domain (including propeptide), three fibronectin domains, and cell membrane-associated domains. It is one of several proteins produced by Group Aknown to cleave components of the human complement system.
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