WORKLOAD
Inference · Training · Fine-tuning · Simulation · Digital Twin · Video Intelligence · Private LLM · Industrial AI
TECHNOLOGY
Technology That Makes
Rapid Deployment Possible.
Compute, data, power, cooling, infrastructure and software selected as one deployable system.
COMPUTE ARCHITECTURE SELECTION
The Accelerator Is Selected
Inside the System.
S1 CAPABILITYINPUTS
SOFTWARE
Model framework · Runtime · Drivers · AI stack · Application compatibility
PERFORMANCE
Latency · Throughput · Memory · Model size · Concurrency · Training scale
SITE
Available power · Cooling capacity · Ambient environment · Network · Space
CONTROL
Data locality · Sovereignty · External connectivity · Security boundaries
SCALE
Initial capacity · Expansion plan · Multi-site deployment
OUTPUTS
ACCELERATOR
Selected compute platform
SERVER
Node architecture
INTERCONNECT
Cluster fabric
STORAGE
Data architecture
POWER
Rack and site power requirement
COOLING
Air / Cold Plate / Immersion
DEPLOYMENT
RC-1 / RC-2 / RC-3 / RC-4 / RC-5
A GPU Is Not a Complete Architecture.
No accelerator should be selected independently from its server, networking, power, cooling and lifecycle support path.
COMPUTE OPTIONS
Two Compute Paths.
One System Architecture.
SOVEREIGN / CHINA COMPUTE
For projects requiring domestic compute ecosystems, local technology stacks or sovereign deployment options.
Possible accelerator ecosystems include Hygon, Huawei, MetaX and other qualified domestic platforms. Availability and compatibility require review for the exact configuration.
- 01Accelerator
- 02Server platform
- 03Software ecosystem
- 04Network
- 05Power density
- 06Cooling
- 07Modular infrastructure
- 08Deployment & O&M
Domestic compute platforms are evaluated together with their validated server, software, power and cooling environments.
GLOBAL GPU / NVIDIA
For projects requiring NVIDIA-based AI infrastructure and compatible global compute ecosystems.
- 01NVIDIA Accelerator
- 02Validated Server Platform
- 03High-Speed Fabric
- 04Power Architecture
- 05Compatible / Validated Cooling
- 06Modular Infrastructure
- 07Deployment & Support
NVIDIA-based configurations are defined according to workload, platform availability and validated infrastructure compatibility.
Both paths are evaluated within the S1 architecture. Compatibility, availability and support are project-specific; a reference platform does not establish certification.
THERMAL ARCHITECTURE
Cooling Is Part
of Compute Design.
Cooling Follows Power Density.
CONFIGURATION-DEPENDENTAIR COOLING
For conventional or moderate-density compute environments.
COLD PLATE LIQUID COOLING
For higher-density CPU / GPU systems requiring direct component cooling.
IMMERSION LIQUID COOLING
For high-density or specialized compute environments where an integrated immersion architecture is appropriate.
Final cooling architecture depends on the selected accelerator, server design, rack density, environment and operating requirements.
Cooling selection follows validated server and accelerator architecture.
POWER ARCHITECTURE
Compute Defines Infrastructure Demand.
S1 CAPABILITY- 01WORKLOAD
- 02COMPUTE
- 03RACK POWER
- 04COOLING
- 05FACILITY POWER
- 06UPS / BESS
- 07SITE ARCHITECTURE
The accelerator decision affects much more than compute performance. It changes rack power density, cooling demand, backup requirements and site infrastructure.
01 / SYSTEM LAYERS
Six Layers.
One Configuration.
COMPUTE
GPU / CPU / accelerators / AI appliances / AI servers
DATA
Storage / networking / data movement / local data
POWER
UPS / distribution / batteries / BESS / power conditioning
COOLING
Air cooling / liquid cooling / CDU / hybrid thermal architecture
MODULAR INFRASTRUCTURE
Rack / pod / container / prefabricated blocks / modular data center
SOFTWARE & AI
AI runtime / digital twin / AI agents / local models / monitoring / simulation
Technology is selected around
the workload and the site.
SYSTEM INTEGRATION
Performance Is a
System Property.
GPU LOAD↔POWER
POWER DENSITY↔COOLING
DATA↔STORAGE / NETWORK
SITE↔ENCLOSURE / THERMAL DESIGN
AVAILABILITY↔REDUNDANCY
SECURITY↔NETWORK / ACCESS
GROWTH↔MODULARITY
S1 does not configure compute in isolation.
SECURITY & GOVERNANCE
Security Starts with Architecture.
Security boundaries and operational governance are considered alongside compute, power, cooling and software.
CONFIGURATION-DEPENDENT · Proposed integrations remain under technical development or evaluation. Security features, suppliers, scope, performance, compatibility and delivery depend on project-specific assessment and technical validation. This does not establish a complete, certified or already deployed AI cybersecurity platform.
Explore Security & Governance02 / LOCAL OPERATION
Local Compute.
Customer Control.
Private model runtime, local inference and customer-controlled data workflows can operate without mandatory public-cloud dependency.
Offline-capable operation is engineered around the selected models, licensing, software provisioning, data sources and update strategy.
03 / ENGINEERING BASIS
Configuration Before Claims.
Supplier reference data
Reference architectures inform component selection and engineering review. They remain configuration-dependent.
S1 validated project data
Performance, environmental ratings, certifications and schedules are confirmed for the exact project configuration.
ENGINEERING TRUTH
Real Infrastructure
Requires Engineering Truth.
Reference platforms accelerate deployment, but final system values must follow validated project requirements, engineering inputs and approved supplier data.
A Reference Configuration
Is Not the Final Configuration.
S1 uses available reference platforms to accelerate engineering, but the final system is defined by workload, site, security, power, cooling and regulatory requirements.
Supplier-Neutral S1 Architecture
- 01CUSTOMER REQUIREMENT
- 02S1 COMPUTE ARCHITECTURE
- 03ACCELERATOR TECHNOLOGY
- 04SERVER + NETWORK
- 05POWER + COOLING
- 06MODULAR INFRASTRUCTURE
- 07RUNNING AI CAPACITY
S1 Defines the Architecture.
Technologies Are Selected to Fit It.
Every public claim must have a state. Supplier evidence informs S1 review; reference configurations proceed through project engineering before becoming project-validated data.
Explore S1 SYSTEMCOMPUTE VALIDATION
Evidence Before Commitment.
CUSTOMER PREFERENCEREFERENCE PLATFORMCOMPATIBILITY UNDER REVIEWSUPPLIER-VALIDATEDENGINEERING-VALIDATEDPROJECT-VALIDATED
A customer preference or reference platform is not a validation result. Supplier, engineering and project validation require supporting evidence; no certified status is inferred.
START WITH THE REQUIREMENT
What AI Capacity
Are You Trying to Build?
Tell us what must run, where it must operate and what constraints exist.
S1 will help structure the requirement before configuring the infrastructure.
NEED A BROADER SYSTEM PROJECT?
Need More Than
Rapid Compute?
Rapid Compute focuses on deployable AI infrastructure.
Projects requiring full digital project modeling, industrial simulation, energy architecture or multi-domain infrastructure integration can continue through S1 SYSTEM.
Explore S1 SYSTEMS1 SYSTEM
Model the World. Build the System.