Performance Optimization (Platform 9 Edition)

Performance optimization is critical for ensuring the efficiency and efficacy of applications, whether they are deployed on the cloud, using bare metal, or with Kubernetes, as highlighted by Michael Levan. At the heart of performance optimization are three key questions regarding the expected performance, knowledge of how applications are performing, and data to understand this performance, all of which are addressed in this insightful blog post. Platform 9 offers tools like Proactive Ops and Elastic Machine Pool (EMP) to aid in these efforts, providing a robust management plane and smart scaling solutions to maintain optimal resource utilization and reduce costs.

Boosting ML and AI Workloads (Neuroblade)

To hasten the development of Large Language Models and AI/ML workloads, NeuroBlade’s innovative SPU hardware, pluggable into a PCIe slot, promises to amplify existing GPU capabilities by around 30%. As computational demands escalate, particularly for the training of intelligent models, the SPU aims to significantly boost server performance, potentially relieving some pressure from the surging GPU market. To Michael Levan, this advancement serves as a testament to Neuroblade’s commitment to accelerating the pace at which AI and ML technologies evolve and become more efficient.

Hybrid and Private Cloud (Enter Softiron)

As businesses re-evaluate cloud strategies, the concept of cloud repatriation becomes increasingly relevant, making the case for bringing select workloads back to private datacenters. Key to a successful private cloud strategy is the ability to scale; solutions offered by companies like SoftIron facilitate scaling out to public clouds, ensuring flexibility and extending storage capabilities beyond on-prem limitations. Read on in this DEV Community article by Michael Levan.