News & Press

Here are 15 data management and data analytics technology companies, part of the CRN AI 100, that are playing an outsized role in AI today.

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Joint solution moves beyond traditional 2-tier memory management, enabling efficient KV Cache sharing across GPU, CPU, and distributed storage layer.

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Since our last coverages of Alluxio in 2023, 2021 and 2019, this cloud native distributed cache vendor has found itself a new lane in the exploding AI/ML space, as model training runs and AI inference workloads can benefit the most from access to speedier local NVMe drives and streams without incurring excess cloud tolls for each ingress or API call.

Alluxio, a leading data platform provider for AI and analytics, has partnered with vLLM Production Stack, an open-source serving system developed by LMCache Lab at the University of Chicago, to significantly accelerate large language model (LLM) inference. This collaboration integrates advanced KV Cache management, dramatically enhancing AI infrastructure by providing faster response times, improved scalability, and cost-effective deployment options for enterprise applications.

Alluxio, supplier of open source data store virtualization software using a virtual distributed file system with multi-tier caching, announced a strategic collaboration with the vLLM Production Stack, an open source implementation of a cluster-wide full-stack vLLM serving system developed by LMCache Lab at the University of Chicago.

Large language models (LLMs) are transforming industries with their ability to process vast amounts of data quickly. However, deploying these models efficiently remains a challenge. Slow inference speeds, high memory consumption, and complex scaling issues hinder seamless integration. To solve these problems, Alluxio and the vLLM Production Stack have joined forces. This partnership enhances LLM inference by improving performance, optimizing memory, and enabling scalability.

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Alluxio, a data platform for AI and analytics, announced a strategic collaboration with the vLLM Production Stack, an open-source LLM-serving system developed by LMCache Lab at the University of Chicago. The partnership aims to improve large language model (LLM) inference by optimizing KV Cache management, enhancing performance, scalability, and cost-efficiency.

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Alluxio, the developer of the leading data platform for AI and analytics, today announced a strategic collaboration with the vLLM Production Stack, an open-source implementation of a cluster-wide full-stack vLLM serving system developed by LMCache Lab at the University of Chicago. This partnership aims to advance the next-generation AI infrastructure for large language model (LLM) inference.

Alluxio has announced a strategic partnership with the vLLM Production Stack to enhance the infrastructure for large language model (LLM) inference.

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Alluxio has announced a strategic partnership with the vLLM Production Stack to enhance the infrastructure for large language model (LLM) inference.

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In this quick chat, Haoyuan Li, Founder and CEO of Alluxio, highlights the benefits of AI and big data workloads, innovative ways to boost AI and ML initiatives, and the importance of data infrastructure.

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This Saturday, March 8th, is International Women’s Day (IWD), a global celebration of the social, economic, cultural, and political achievement of women, as well as a call to action for accelerating gender equality. IWD seeks to make a positive difference for women by promoting strategies, resources, and activities that promote women’s advancements in overcoming significant barriers to gender equality that continue to exist well over a hundred years since its founding in 1911.

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