◎ China HQ Suzhou · APAC HQ Singapore ✉ hello@jumborca.com ☏ +86-400-990-7697

Storage Power Center · Storage Power Center

Every byte of data, ready for compute the moment it is needed

Compute centres are expanding fast, yet the bottleneck in training and serving large models is increasingly on the data side. The Storage Power Center turns storage from an asset into a service: one AI data foundation, data centres in several cities plus public-cloud resources, and one storage-and-compute scheduling platform. Wherever the data is, compute can reach it.

1,028 km1,169 km1,636 km1,575 km1,452 km江苏省苏州南通南京北京上海宁夏中卫深圳成都贵阳兰州

Compute waiting for data is cost running idle

The problem

  • Data is scattered across data centres and clouds, and cannot be fed to GPUs fast enough
  • Multi-site sync, disaster recovery and security isolation each have to be built in-house
  • Storage is a one-off capital purchase, and expansion takes months

The traditional vendor

stack boxes, sell space

What the customer takes home is hardware. Data movement, protection and the link to compute are still their problem.

The Storage Power Center

data as a service

Nothing to buy, nothing to operate; pay for the capacity and time actually used. Data is managed, protected and scheduled to any compute from one foundation.

Storage and compute planned and deployed together is what makes a complete AI infrastructure. This is in line with the national push for advanced storage and high-end storage capacity.

One foundation, resources in many places, one scheduler

  1. Scheduling layer

    Storage-and-compute scheduling platform

    Storage and compute across data centres and clouds, managed as one.

    • Stage data next to the compute node, or send the compute job to where the data is, as the task requires
    • Avoid large-scale data moves and shorten data preparation for training and inference
    • The customer sees one entrance and one invoice
  2. Foundation layer

    AetherStore AI data foundation

    A unified data platform designed for AI workloads.

    • File, object and block storage in one namespace
    • Separate performance tiers for training, inference, data lakes and archives
    • Built-in data protection, access control and end-to-end observability
  3. Resource layer

    Multi-site data centres + public cloud

    Owned and partner data-centre nodes joined with mainstream public-cloud object storage and compute, forming one pool of local performance and cloud elasticity.

    • Owned and partner nodes in Suzhou, Nanjing, Nantong, Singapore and more
    • Mainstream public-cloud object storage and compute
    • One pool: local performance plus cloud elasticity

Two ways to get storage

Both can add data protection and compliance: disaster recovery, backup, air-gapped isolation and audit, delivered on SupDRC and SupVault. 99.95% availability commitment, 7×24 operations.

Ready now · shared foundation

Rent storage on demand, usable today

Your data goes onto one AI data foundation, bundled with compute when you need it and scheduled together.

For
Training datasets, model weights, inference caches, enterprise data lakes
Billing
Per TB per month, from PB scale
Scaling
In minutes; storage and compute can be bundled
Configure rental

Dedicated · your data centre

A dedicated storage node, data kept where it must stay

Equipment is installed in the data centre you name. Jumborca runs racks, power, fibre and operations; you pay a monthly rent.

For
Data that may not leave your own data centre or a designated region
Contract
Rate fixed for the term; 1–3 year fixed-price contracts
Operations
Run by Jumborca, 7×24
Configure a dedicated node

Four ways to deliver, from shared to dedicated

ServiceTypical useHow it is delivered
Storage rentalStorage as a Service Training datasets, model weights, inference caches, enterprise data lakes Billed per TB per month, from PB scale, capacity added in minutes
Storage + compute rental Training, fine-tuning and inference jobs that need data and GPUs side by side Storage and compute bundled, scheduled together
Dedicated storage node Data that may not leave the customer’s own data centre or a designated region Equipment installed in the data centre the customer names; Jumborca runs racks, power, fibre and operations; the customer pays a monthly rent
Data protection and compliance Disaster recovery, backup, air-gapped isolation, audit Delivered on SupDRC, SupVault (air-gapped) and related product capabilities
99.95%Availability SLA
7×24Operations support
Rate lockRate fixed for the term; 1–3 year fixed-price contracts
Choose your storage

Whatever you care about, that is what the Storage Power Center is

Enterprises

Compute centres, model companies, industry users

You focus on models and business; the data layer is ours. No equipment to buy, no storage team to hire, no worrying about expansion or disaster recovery. Pay for what you use, and move the data next to your compute whenever you need to.

Request a PoC

Government and industrial parks

Storage to match the compute centre

A compute centre needs storage infrastructure beside it. The Storage Power Center builds local data pooling and circulation in an asset-light, repeatable way, keeps regional compute well used, and gives data-element markets a secure, controllable physical carrier. Jumborca does not build models and does not compete with the model companies in the park; we do data infrastructure only.

Discuss a partnership

Universities and research institutes

Shared data space for research groups

Research data is large, long-lived and shared by many hands. The Storage Power Center gives research groups PB-scale shared data space rented by project term, connected to compute on and off campus, with data versioning and long-term archiving, lowering the IT barrier to research.

Discuss a partnership

Investors

A repeatable operating asset

The Storage Power Center is a repeatable operating asset: revenue locked in by long fixed-price contracts, marginal expansion cost falling with scale, a software foundation we own rather than a single hardware supplier, and growth that tracks the build-out of compute centres. It is the most predictable link in the AI infrastructure chain.

Request the business plan

Our own software stack, not tied to one hardware vendor

Certifications and complianceISO 27001 · ISO 9001 · ITSS · PDPA · MLPS Level 2 · D-U-N-S

  1. AetherStoreAI data foundationOne namespace, multiple protocols, multiple performance tiers
  2. SupCubeEnterprise AI file systemData access acceleration for training and inference
  3. SupVaultAir-gapped secure storageRansomware- and tamper-resistant
  4. SupDRCDisaster recovery and backupData protection across data centres and clouds
  5. SupInsightAIOps observability platformEnd-to-end monitoring and capacity forecasting (ITSS / ISO 27001 / MLPS 2.0 certified)
04 · Singapore 01 · Suzhou02 · Nanjing03 · Nantong

From the Yangtze Delta to Singapore

  • SuzhouChina HQ · owned node
  • Nanjingdata-centre node · R&D and support
  • Nantongstorage node
  • SingaporeAPAC HQ · data resident in Singapore

Start with a PoC

Run a real training or inference pipeline with your own datasets and your own compute location.

Jumborca (Suzhou Jumborca Software Technology Co., Ltd. / Jumborca Pte. Ltd.) · Suzhou · Nanjing · Nantong · Singapore