COMING SOON

zCLOUD™

Instant access to high-performance GPUs. Scale by the hour. No upfront commitment.

zCLOUD is Zettabyte’s on-demand GPU cloud, designed for teams that need immediate, flexible access to compute without long-term hardware investments. With hourly pricing, enterprise-grade reliability, and high SLA guarantees, zCLOUD delivers cloud-like simplicity with infrastructure-grade performance.

zCLOUD at a Glance

1
Commitment-Free Compute

zCLOUD offers GPUs by the hour. Scale capacity up or down instantly without capital expenditure, long-term contracts, or minimum commitments.

2
Enterprise Reliability & SLA

zCLOUD delivers predictable performance, uptime guarantees, and SLA levels suitable for mission-critical workloads.

3
Flexible Access Across Workloads

zCLOUD supports training, inference, and burst workloads, enabling engineers to move from prototype to production without changing platforms.

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Frequently Asked Questions

Helpful information and answers related to the product.

What is zCLOUD?

zCLOUD is Zettabyte’s on-demand GPU cloud service built on the full Zettabyte software stack and deployed across GPU infrastructure worldwide. It provides immediate access to high performance GPUs through on demand and reserved capacity, allowing customers to start workloads quickly, scale predictably, and achieve high performance without the time and cost of building or overprovisioning their own infrastructure.

Why should customers choose zCLOUD?

zCLOUD allows customers to access high-performance GPU capacity without the delays, commitments, or overhead of traditional cloud models. It provides immediate availability for AI workloads while maintaining predictable performance and transparent cost structures. In addition, organizations running the zSUITE stack can use zCLOUD to monetize excess GPU capacity, improving infrastructure utilization and offsetting operating costs. This makes zCLOUD both a faster way to deploy AI workloads and a more efficient way to extract value from existing infrastructure.

What level of reliability does zCLOUD provide?

zCLOUD is operated and managed by Zettabyte across sovereign grade AI data centers built for high availability. Its architecture is designed to deliver consistent performance, predictable uptime, and clear service level guarantees. For customers, this means fewer disruptions, faster time to usable compute, and reduced operational burden, allowing teams to focus on delivering results rather than managing infrastructure risk or downtime.

Does zCLOUD support heterogeneity?

Yes, zCLOUD is designed to operate across heterogeneous GPU environments and multiple data center locations. This allows organizations to use available hardware efficiently rather than waiting for a single GPU type or vendor. For leadership teams, this means faster access to compute, lower capital and procurement risk, and the ability to scale AI programs without being constrained by supply cycles or vendor lock-in. As hardware evolves, workloads can move seamlessly across generations and sites, preserving performance while reducing long-term infrastructure cost and disruption. Specifically, zCLOUD currently manage NVIDIA A100, H100, H200, B200, AMD MI325, and GB300.

How can I list my excess compute and/or available GPUs on zCLOUD?

Organizations using Zettabyte’s zSUITE can opt in to list available GPU capacity on zCLOUD with minimal additional integration. This allows idle infrastructure to be monetized quickly while remaining under the owner’s control. For organizations not yet on zSUITE, Zettabyte can support onboarding and integration to bring existing hardware onto the platform. The result is faster time to revenue, higher asset utilization, and improved return on existing infrastructure investments.

How many GPUs does zCLOUD currently manage?

zCLOUD manages more than 5,000 GPUs actively committed to the platform, providing customers with immediate access to production ready capacity. Availability is visible at sign-up, allowing teams to move quickly without long procurement cycles. When specific configurations are not immediately available, customers can reserve capacity or join the queue, ensuring access as resources come online. For larger or time-sensitive requirements, dedicated clusters and expedited sourcing are available to reduce deployment timelines and control cost.

Who is zCLOUD designed for?

zCloud is built for teams that need real GPU performance without enterprise cloud pricing: zCLOUD’s primary customers include AI startups & small teams who need stable, affordable infrastructure to ship fast; Research labs & academic programs running experiments, coursework, and publications on limited budgets; and independent ML engineers & open-source contributors who value reliable, cost-effective compute.

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
testimonials

Customer success story

Features

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

"Working with this team completely changed our deployment timeline. Their AI-optimized data hall design cut months off our build schedule and saved us from costly rework. Truly exceptional support from start to finish."

Alex Roberts
Project Manager, Foxconn

"Their system unified all of our GPU nodes into a single, easy-to-manage environment. The automation features alone saved our team countless hours each week. The ROI was immediate".

Jordan Parker
AI Team Lead, Fortune 500 Technology Company

"Their monitoring layer helped us eliminate bottlenecks we didn’t even know we had. Workloads balance perfectly, failures self-correct, and our team spends less time babysitting jobs. Exceptional product and exceptional support."

Alex Roberts
AI Engineer, Leading Semiconductor Company