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Alon Horev

Cofounder, Vast Data

Search every verified Alon Horev interview, podcast appearance, and on-the-record quote — each transcript cross-checked by AI and human review to confirm speaker identity. Alon Horev, co-founder and chief technology officer of VAST Data, appeared in an interview at CoreWeave's Fully Connected 2026 event, where he discussed data movement as a key challenge in the agentic AI era. He described VAST Data's origins in 2016, noting that the company aimed to bring high-performance computing-grade storage to enterprise systems before the AI boom. Horev attributed the practicality of disaggregated architectures to declining flash memory prices and faster RDMA networking over commodity Ethernet, which he said enabled compute and storage separation at exabyte scale. In the interview, Horev also addressed the concept of memory in AI agents, distinguishing between long-term memory, which allows agents to reference past interactions, and short-term memory, which relates to active sessions. He suggested that such memory does not necessarily require RAM or SRAM, and he discussed the role of communal knowledge bases for enterprise agents. Additionally, he referenced KV cache in the context of multi-turn conversations and agent sessions, noting that these interactions can generate data useful for fine-tuning or training purpose-built models.

Recent appearances

  • Alon Horev, VAST DATA | CoreWeave Fully Connected 2026

    In this interview from Fully Connected 2026, Alon Horev, co-founder and chief technology officer of VAST Data, joins theCUBE's John Furrier and Dave Vellante to discuss how data movement has emerged as the critical bottleneck of the agentic AI era. Horev traces VAST's origins back to 2016, before the AI boom, when the company set out to bring HPC-grade performance to enterprise storage. He explains how falling flash prices and faster RDMA networking over commodity Ethernet finally made disaggregated architectures practical, letting compute separate from storage at exabyte scale. Horev also unp…

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  • AI Data Pipeline in Action | VAST Data

    See how leading organizations are moving from petabytes to exabytes and speeding up every stage of AI development. In this session, VAST Data experts Alon Horev and Andy Pernsteiner show how a unified data factory supports the future of robotics and multimodal learning. Find out how to remove checkpointing bottlenecks and use the VAST DataEngine to create advanced agentic workflows. We look at real-world uses of semantic search and the VAST DataBase, which lets you run fast queries across trillions of vectors. The video covers everything from fine tuning models for edge devices to building…

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  • Best Practices for High Performance I/O | VAST Data

    We all know the old stories about storage systems being a bottleneck. You likely spent years hearing that NFS simply cannot handle the heat of a modern GPU cluster or a massive supercomputer.  In this technical session, they pull back the curtain on why VAST Data remains smooth and graceful even when your IO patterns are anything but perfect. They show you real lab results on RDMA and multipathing and even the hidden secrets of the Linux page cache. This is about making your jobs run faster and your infrastructure more resilient without forcing you to rearchitect every single application. W…

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  • Alon Horev, Vast Data | KubeCon + CloudNativeCon NA 2025

    In this KubeCon + CloudNativeCon North America interview, theCUBE’s Rob Strechay speaks with Alon Horev, co-founder and chief technology officer at Vast Data, to unpack how Kubernetes and cloud-native standards are powering real-time AI at the edge and across hybrid environments. Horev explains why Kubernetes is the “orchestration platform of today” and why open protocols (such as S3 and Kafka) are essential to avoid product lock-in while enabling developer choice and portability. Horev discusses platform engineering, multi-tenancy and zero-trust as foundations for self-service data pipelines…

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Other executives at Vast Data

The summary and quote tags on this profile are produced with AI assistance from verified, first-person interview transcripts, then checked by our team to confirm the speaker's identity and the accuracy of every quote. See how we verify →