A full-stack
AI cloud company
A self-owned compute base built on GPU/CPU, networking, and storage infrastructure
Operating the full chain of Token production, distribution, and applications
We don't sell GPU hours. We sell deterministic cost per million tokens and deterministic delivery of Agent execution.
Agent-Native KV Data Plane
Optimized for long sessions, high prefix reuse, and burst fan-out; cache hit rates can cut effective compute cost significantly.
Cross-Architecture Tiered Scheduling
NVIDIA, AMD, and domestic GPU/NPU run reliably on the same production system, scheduled by cost and SLO.
Task-Level SLO Orchestration
Every Agent task is bound to a committed SLO: deterministic delivery rather than best effort, with a predictable, controllable cost baseline.
Compute Asset Architecture
A multi-tier heterogeneous compute layout with vendor-neutral scheduling that balances supply-chain resilience and cost efficiency.
Handles frontier models, long-context, and tight-SLO workloads. The B300 offers 288GB HBM per card and NVLink Gen5, providing the strongest compute guarantee for performance-sensitive tasks.
Handles batch-friendly and compliance-constrained workloads, providing supply-chain hedging and cost balance. Domestic compute also satisfies data-sovereignty and compliance requirements.
Naturally steps down to the secondary tier with each hardware generation. Assets are never wasted; they keep contributing compute in optimal form and extend hardware lifespan.
No hardware is purchased for peaks; external rental and tidal compute recovery absorb bursts. Capital efficiency comes first, so fixed costs are never locked in for peak demand.
Scheduling decisions are driven purely by cost and SLO targets, with no bias from vendor relationships. Whichever hardware best fits a task's constraints is where the task runs. This is our core commitment to predictable customer cost.
Business Loop
From Agent workloads to Token margin, revenue from both ends accrues to the company, forming a sustainable flywheel.
The Agent application layer provides a predictable base load that pushes utilization past the break-even line, while self-owned compute brings cost control.
Revenue from both ends accrues to the company, competing neither on GPU-hour price with neoclouds nor on unit price with Token platforms.
Contact
Whether for business partnerships, technical collaboration, or strategic discussion, our team is ready to respond.
Contact Information
We usually reply to business inquiries within 1 business day. For urgent needs, please note it in your message and we will prioritize it.