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| Scope | National |
|---|---|
| Language | English |
| Country | United States of America |
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By Andrew Douglas,Emily Coughlin,Vaclav Jirovsky,William Cerreta,Nihal Mirashi,Ajeya Motaganahalli,Eric Mueller-Kessler,Tim Chapman,Diane Saucier,Alain Parrinello,Peter Eicher,Everpure,Mark Simborg Learn about a platform that brings together Nokia on Red Hat OpenShift with an all‑flash data layer from Pure Storage to speed CNF rollouts, cut run costs, and ready networks for AI‑driven automation.
Nokia Chooses Everpure to Power the Data Layer on Its Next‑generation Telco Cloud on Red Hat OpenShift
The telecommunications industry is entering a pivotal chapter in its modernization journey. As networks evolve from traditional infrastructure to cloud-native architectures, service providers face a fundamental challenge: How do you build a data foundation that can support both today's cloud-native workloads and tomorrow's AI-driven network automation-all while maintaining reliability at global scale?
Pure KVA Now Integrates with NVIDIA Dynamo for Scalable, Low-latency LLM Inference
In The Matrix, Neo didn't spend years mastering kung fu. Instead, all that knowledge was injected directly into him, bypassing the learning process altogether. That's the same leap forward enterprise AI just took. With Pure Key Value Accelerator (KVA) now integrated into NVIDIA Dynamo, large language models (LLMs) no longer need to "relearn" context or reprocess thousands of tokens to understand what comes next.