What does this research mean for the field?

Cloud-based architectures enable the scalable serving and deployment of foundation models. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

The aim is to explore how cloud-based architectures can enhance the scalability of serving foundation models.

April 25, 2026Open Access

Cloud Computing

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Key Points

The aim is to explore how cloud-based architectures can enhance the scalability of serving foundation models.
Utilized cloud infrastructure to deploy foundation models.
Compared performance metrics of different architectures.
Evaluated scalability and reliability under varying loads.
Significant improvement in serving capabilities with a 30% increase in throughput (p<0.01).
Reduced latency by 25% when using optimized architectures (95% CI).
Enhanced resource efficiency, decreasing operational costs by approximately 20%.

Abstract

Scalable Serving of Foundation Models Using Cloud-Based Architectures

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Cite this study

Diana Ainazik Bakytbek • Diana Mamytova • Aigerim Naizabekova • Eldana Omushova (Thu,) studied this question.

synapsesocial.com/papers/69ec5b2388ba6daa22daca26 — DOI: https://doi.org/10.5281/zenodo.19710974

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Authors

Diana Ainazik Bakytbek • Diana Mamytova • Aigerim Naizabekova • Eldana Omushova

Cloud Computing

Key Points

Abstract

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Cite this study

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