COMING SOON

zMARKETPLACE™

Bridges content, compute, and orchestration across your AI GPU infrastructure stack effortlessly.

zMARKETPLACE

zMARKETPLACE's key capabilities includes serving as the model repository, dataset repository, and image center for your AI workloads. It enables users to easily launch, customize, and scale AI workloads.

All In One Marketplace

1
Ready-to-Use Models and Services

zMARKETPLACE offers a curated library of pre-trained LLMs, agents, and model services that can be deployed instantly, accelerating AI adoption without heavy engineering work.

2
Seamless Integration

zMARKETPLACE connects directly with third-party toolkits, providing frictionless deployment, lifecycle management, and interoperability.

3
Model Commerce

zMARKETPLACE enables organizations to publish, price, and monetize models, turning AI services into revenue-generating offerings.

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testimonials

Customer Success Story

Features

We empower sovereigns to build AI infrastructure without geopolitical exposure, vendor lock-in, or dependency.

"For our internal model training, Zettabyte’s zSUITE delivered meaningful improvements across our AI infrastructure operations, particularly in GPU utilization, cluster visibility, and operational efficiency.

Among the other open source platform we have tested, zSUITE provides better performance to manage and scale complex AI workloads. We view zSUITE as a strong software foundation for next-generation AI infrastructure."

David Shen
COO, Wistron Group

"Zettabyte’s software has been instrumental in helping WiAdvance’s enterprise customers deploy and scale AI with confidence. By simplifying GPU management and improving utilization and visibility, Zettabyte enables organizations to move from pilot projects to production AI faster and more efficiently.

It has become a key enabler for enterprises looking to expand their AI capabilities while maintaining reliability and operational control."

Michael Hsia
CEO, WiAdvance

"Zettabyte played a key role in helping the Foxbrain team accelerate our LLM training efforts. The platform delivered tangible performance improvements that shortened training cycles, while its developer-centric features made it easier for our engineers to iterate, debug, and optimize workloads.

With better visibility and control across our GPU infrastructure, we were able to move faster from experimentation to large-scale training with confidence."

Tran Nhiem
Technical Lead, Foxconn