Backblaze to Showcase Scalable AI Data Pipelines at AI & Big Data Expo 2026
Backblaze, Inc. (Nasdaq: BLZE), a high-performance cloud storage platform, has announced its participation in the AI & Big Data Expo North America 2026, scheduled for May 18-19, 2026, at the San Jose McEnery Convention Center. The company will exhibit at Booth #434, focusing on how scalable data infrastructure supports high-speed AI pipelines. Key highlights include the showcase of B2 Neo, an S3-compatible object storage solution designed for massive, high-throughput data flows essential for modern AI operations. Additionally, Troy Liljedahl, Backblaze’s Sr. Director of Solutions Engineering, will lead a session titled 'The AI Pipeline Starts with Storage: Architecting Scalable Data Foundations.' He will discuss overcoming legacy cloud constraints and building Neocloud architectures to ensure low-latency data access for GPU clusters. The announcement also references new research on 'Elephant Data Flows,' highlighting how AI-driven traffic patterns differ from traditional cloud usage, necessitating specialized infrastructure solutions. This event aims to connect enterprise leaders and innovators moving AI from pilot projects to operational reality.
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Backblaze to Showcase Scalable AI Data Pipelines at AI & Big Data Expo 2026
Backblaze, Inc. (Nasdaq: BLZE), a high-performance cloud storage platform, has announced its participation in the AI & Big Data Expo North America 2026, scheduled for May 18-19, 2026, at the San Jose McEnery Convention Center. The company will exhibit at Booth #434, focusing on how scalable data infrastructure supports high-speed AI pipelines. Key highlights include the showcase of B2 Neo, an S3-compatible object storage solution designed for massive, high-throughput data flows essential for modern AI operations. Additionally, Troy Liljedahl, Backblaze’s Sr. Director of Solutions Engineering, will lead a session titled 'The AI Pipeline Starts with Storage: Architecting Scalable Data Foundations.' He will discuss overcoming legacy cloud constraints and building Neocloud architectures to ensure low-latency data access for GPU clusters. The announcement also references new research on 'Elephant Data Flows,' highlighting how AI-driven traffic patterns differ from traditional cloud usage, necessitating specialized infrastructure solutions. This event aims to connect enterprise leaders and innovators moving AI from pilot projects to operational reality.
Financial Post