FishOS vereinfacht die Bereitstellung von GPU-Cloud mit voller Leistungsfähigkeit, Flexibilität und ohne Lizenzierungskomplikationen – ideal für KI-, ML- und HPC-Arbeitslasten.
Während einer fast zweijährigen engen Zusammenarbeit mit einem der führenden Forschungszentren Deutschlands, der Universität Tübingen, hat Sardina Systems entscheidende Unterstützung geleistet, um die Effizienz und Produktivität der Machine-Learning-Cloud-Infrastruktur der Universität zu verbessern. In dieser Fallstudie werden wir eingehend untersuchen, wie FishOS, die vollautomatisierte, skalierbare und kosteneffektive Cloud-Management-Plattform von Sardina Systems, einem kleinen Team von Experten hilft, ihre täglichen Aufgaben zu bewältigen, sodass sich Datenwissenschaftler auf die Durchführung bahnbrechender Forschung in…
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