An enterprise computing platform succeeds through integrated synergy of management, technology, and ecosystem
Large models have ignited an arms race for computing power. Should enterprises build their own platforms or rent from cloud providers? Why does utilization stay low and business adoption lag even after the investment? Drawing on State Grid's practice, this book answers: a computing foundation is not just a technical project but a systems engineering effort spanning top-level design, full lifecycle management, technical support, and ecosystem operations.
Layers of the Computing Platform
Key Concepts
Computing foundation
A unified AI computing infrastructure supporting enterprise intelligent transformation, like the power grid of the intelligent era.
It decides whether an enterprise can turn data and scenario advantages into model capability — the decisive factor of intelligentization.
Five-in-one
A construction approach advancing management, planning, technology, adoption, and ecosystem in concert.
Point investments rarely pay off; only systematic synergy gets computing power actually used by the business.
Full lifecycle management
Closed-loop management of computing resources from demand consolidation and capacity planning to elastic scaling.
It answers how much to build and when, avoiding both idle waste and capacity shortfall.
Integrated compute-storage-network
Unified planning and monitoring of compute, storage, and network resources through one indicator system.
The weakest link sets the ceiling — cluster performance sags if only GPUs are watched.
Computing power for all
The vision that every business line can access computing services cheaply and easily.
The ultimate value of computing power lies not in scale but in broad business use and realized value.
Map of the Book
Part One: Top-Level Design and Strategic Layout
Part Two: Full Lifecycle Management of Computing Resources
Part Three: Core Technology Support and Service Assurance
Part Four: Value Realization and Ecosystem Expansion
After reading, you will understand
- A computing foundation is systems engineering, not hardware stacking
- Demand comes from the business; capacity from scientific forecasting
- Plan and monitor compute, storage, and network as one
- Computing power is worth building only when the business uses it
- Flagship cases and knowledge bases make results replicable