Proprietary AI Silicon + Compute Servers + Edge Nodes
BETA AI Infrastructure delivers the secure, scalable foundation for enterprise AI workloads. From silicon to servers to edge nodes — a complete, reliable compute platform built to support long-term AI innovation.
We are building next-generation AI infrastructure with full technology sovereignty, delivering high-performance, energy-efficient computing solutions for data centers, smart cities, industrial IoT, and beyond.
AI Silicon R&D and Manufacturing
BETA's proprietary AI silicon is purpose-built for both training and inference, featuring highly parallel architecture and dedicated matrix compute units with instruction-level optimization for Transformer, CV, and speech workloads.
Unified Training & Inference
A single architecture supporting large-scale pre-training, efficient online inference, and AIGC generation — enabling resource consolidation across training and inference workloads.
High Efficiency, Low Power
Operator fusion, bandwidth optimization, and multi-level cache design significantly reduce power consumption at equivalent compute levels — enabling data center PUE optimization and green computing.
Sovereign Technology Stack
From architecture design and software stack to toolchain — fully self-contained development loop providing supply chain resilience for regulated industries including finance, government, and energy.
Ships with a complete SDK, drivers, compilers, and model adaptation toolchain. Supports rapid migration of PyTorch, TensorFlow, and ONNX models to the BETA silicon platform with minimal friction.
Compute Servers and Cluster Solutions
Built on proprietary AI chips, our compute server lineup and full-rack solutions support training and inference across single-node, multi-node, and full-rack configurations.
Training Servers
Optimized for distributed training with high-bandwidth interconnects and large-capacity memory — ideal for pre-training, industry fine-tuning, and recommendation systems.
Inference Servers
Purpose-built for online inference, AIGC, and recommendation workloads — delivering higher QPS and lower latency in compact form factors for rapid data center deployment.
Full-Rack / Data Center Integration
Holistically designed around power, cooling, networking, and operations — delivering turnkey AI racks or compact AI data center solutions.
Every server includes resource scheduling and monitoring capabilities — supporting compute visualization, task orchestration, alerting, and multi-tenant isolation to transform compute assets into measurable, billable, and manageable services.
Edge Nodes and Edge Computing Network
Purpose-built for smart city, industrial IoT, smart retail, and other edge scenarios — multi-form-factor edge servers powered by proprietary edge AI chips.
Multiple Form Factors
DIN rail-mount, 1U/2U edge servers, outdoor enclosures, and more — meeting diverse requirements for size, power, and environmental protection.
On-Site Intelligent Inference
Real-time video analytics, image detection, behavior recognition, and predictive alerting at the edge — transmitting only structured results to minimize bandwidth and cloud compute costs.
Unified Edge Network
Centralized management platform for unified configuration, remote updates, health monitoring, and model distribution — building an operational edge AI network at scale.
Core Technical Specifications
Industry-leading performance from proprietary chips and servers — the solid compute foundation for enterprise AI
0
TOPS Compute
Per-Chip Performance
0
Energy Efficiency Gain
vs. Traditional Solutions
0
System Uptime
Year-Round Reliability
0
Node Scalability
Elastic Cluster Capacity
Need a Tailored AI Infrastructure Solution?
Connect with our technical experts for a consultation on AI silicon, compute servers, and edge computing
Explore More Services
Built on robust AI infrastructure, we deliver a full spectrum of intelligent solutions