Author - Adrian Sossna

LENZO has made overview materials for its Early Access Program for the M1 platform available for request.

The Early Access Program is designed for selected partners and organizations interested in evaluating LENZO’s technology, architecture, and development direction ahead of broader availability. Materials provide an overview of the program scope, technical positioning, and potential collaboration pathways.

Access to materials is not automatic. All requests are reviewed internally, and LENZO will follow up where there is clear alignment and mutual relevance.

To request access to the Early Access Program overview materials, please submit a request using the form below.

Request Early Access Materials

A feature on LENZO was broadcast on January 3 as part of TV Tokyo BIZ’s New Year special, “TV Tokyo’s ‘Knowledge Relay’ — Bold Predictions for Politics, Economy, and Business in 2026” (original Japanese title: 「テレ東は“知の駅伝”～2026年政治・経済・ビジネスをビックリ予想～」).

The program introduces LENZO’s work in AI semiconductor development and provides background on the company’s technical approach and research activities. The coverage reflects the broader public discussion around the domestic development of advanced computing technologies - including AI hardware - and the role LENZO can play in this field.

The full 35-minute feature is available on TV Tokyo BIZ (link) via web and app. The complete 100-minute program via Online Broadcast TV (link), and a 17-minute edited version is available on YouTube (Embedded below).

Behind the scenes of LENZO’s development is a hands-on, iteration-driven engineering environment.
At NAIST’s Computing Architecture Group in Nara, our team is building, testing, and scaling LENZO Core — step by step, board by board.

LENZO Core is developed here through continuous iteration, moving from early board-level prototypes to increasingly complex, multi-board systems operating under real compute load.

As the architecture evolves, each new configuration introduces higher core density, greater system complexity, and sustained utilization. All testing is done on live hardware, allowing performance, power behavior, and stability to be evaluated directly rather than through simulation alone.

One key milestone shown during this phase is a live demonstration of ChatGPT running on LENZO Core. This end-to-end workload highlights the flexibility of the architecture and its ability to support modern AI applications even at an early development stage.

Every setup shown here represents a step forward — grounding LENZO Core’s design in real-world constraints and building toward a scalable, general-purpose compute platform.