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Reduce ML training costs with Amazon SageMaker HyperPod

AWS Machine Learning - AI

Training a frontier model is highly compute-intensive, requiring a distributed system of hundreds, or thousands, of accelerated instances running for several weeks or months to complete a single job. As cluster sizes grow, the likelihood of failure increases due to the number of hardware components involved. million H100 GPU hours.

Training 107
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10 digital transformation roadblocks — and 5 tips for overcoming them

CIO

Lack of vision A common reason digital transformation fails is due to a lack of vision, which along with planning is the foundation for digital success. Digital transformation is about envisioning new ways of doing business, reimagining business processes, transforming business/systems architecture, and changing an organization’s culture.

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Why Assessment Validation Is Crucial For Transforming Your Tech Hiring Process

Hacker Earth Developers Blog

Without it, you risk evaluating candidates on irrelevant metrics, leading to mis-hires and lost opportunities. For tech hiring, this could mean testing for proficiency in specific programming languages, problem-solving in system architecture, or handling database queriesall aligned with the role’s demands.

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Our book “Software Architecture Metrics: Case Studies to Improve the Quality of Your Architecture” is published!

Apiumhub

We are delighted to announce the release of our new book “ Software Architecture Metrics: Case Studies to Improve the Quality of Your Architecture ”. VYou app , for making me innovate and implement new software architecture metrics. He is a principal consultant, focused on sociotechnical systems.

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Tips for designing distributed systems

CircleCI

If you need resilient, resource-conserving systems with rapid delivery, it is time to design a distributed system. To successfully architect a heterogeneous, secure, fault-tolerant, and efficient distributed system, you need conscientiousness and some level of experience. A brief history of software architecture.

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DevOps vs Site Reliability Engineering: Concepts, Practices, and Roles

Altexsoft

We hope the information will be useful for DevOps specialists, product managers, CTOs, and other executives seeking ways to improve the reliability of their systems without victimizing the speed of innovations. It originated in the early 2000s at Google to ensure the health of a large, complex system serving over 100 billion requests per day.

DevOps 96
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Reinforcement Learning for Budget Constrained Recommendations

Netflix Tech

Working within the time budget introduces an extra resource constraint for the recommender system. The evaluation process may include trying to recognize the show from its box art, watching trailers, reading its synopsis or in some cases reading reviews for the show on some external website.

Budget 74