Press release
Power Pro Launches Aegis Series: Compact Edge AI Platform Powered by Grace-Blackwell Architecture
Power Pro Pte. Ltd., a pioneer in next-generation AI infrastructure, officially announces the Aegis Series: a powerful, compact edge AI platform designed for high-throughput inference, offline agentic AI, and real-time decision-making across mission-critical industrial and public sector environments.
Built on the Grace-Blackwell architecture, the Aegis Series delivers up to 1000 TOPS of AI performance in a power-efficient, small-form-factor system. With its hybrid 20-core Arm® CPU and Blackwell-generation GPU, Aegis is engineered for deployment in environments where data sovereignty, regulatory compliance, and ultra-low latency are non-negotiable.
Key Technical Highlights
- CPU: 20-core Arm (10× Cortex-X925 + 10× Cortex-A725)
- GPU: Blackwell Gen CUDA, 4th Gen RT Cores, 5th Gen Tensor Cores
- AI Performance: Up to 1000 TOPS
- Memory: 128GB LPDDR5x unified memory (273 GB/s bandwidth)
- Storage: Up to 4TB NVMe SSD with hardware encryption
- Connectivity: 10GbE (ConnectX-7), Wi-Fi 7, Bluetooth 5.3
- Form Factor: 150 × 150 × 50.5 mm, total system power 170W
- OS Support: Native NVIDIA DGXTM OS, CUDA toolchains, PyTorch, ONNX Runtime
Developer-Ready and Regulation-Aligned
Aegis supports a wide range of development environments and frameworks, including LangChain, LLaMA, Mistral, and multimodal inference engines. Its zero-trust architecture and offline execution capabilities ensure compliance with leading data governance standards, including ISO/IEC 27001 and NIST SP 800.
Designed to operate with no remote dependency, Aegis is optimized for the EU AI Act, ASEAN Data Governance Framework, and General Data Protection Regulation (GDPR) -enabling real-time, sovereign AI without compromising privacy or latency.
Modular Configurations
Aegis Edge - AI Inference Accelerator
- Targeted for industrial automation, robotics, and portable AI
- Supports real-time computer vision and sensor fusion
- Enables low-latency LLM inference and autonomous workflows
Aegis Core - Secure Edge Deployment Platform
- Designed for government, financial and other infrastructures
- Integrates full-disk encryption and private 5G/mesh Internet of Things (IoT) systems
- Modular Input/Output (I/O) options for classified or constrained environments
Aegis NanoStack - Embedded DGX Alternative
- For labs, developers, and micro-edge deployments
- Supports multi-node Aegis clustering in mobile racks
- Ideal for disaster response, field diagnostics, and smart city pilots
Built for the Real Edge
Whether powering autonomous systems, offline medical diagnostics, on-device risk modeling, or real-time industrial analytics, the Aegis Series redefines what edge AI hardware can deliver:
- Healthcare: Real-time inference for imaging diagnostics without cloud latency
- Smart Surveillance: Vision AI for buildings, ports, and utilities
- Disaster Response: On-site triage, coordination, and identification via embedded agentic AI
Global Availability
The Aegis Series is now available worldwide through Power Pro's certified partners and direct sales channels. Custom configurations, integration support, and procurement packages for regulated sectors are available on request.
Media Contact
Power Pro Media Relations
📧 info@sustainpowerpro.com
🌐 www.sustainpowerpro.com
POWER PRO PTE. LTD.
331 North Bridge Road #22-01/06 Odeon Towers, Singapore
Email: geoffrey.brown@sustainpowerpro.com or info@sustainpowerpro.com
POWER PRO PTE. LTD. delivers an end-to-end AI infrastructure that seamlessly fuses high-performance hardware with intelligent, modular software. Whether you're building complex machine learning pipelines or deploying edge intelligence, our ecosystem is designed to scale with your ambitions. At the core of our hybrid model is Antopia A.I.-a privacy-first platform built for deep learning training, real-time inference, and adaptable deployment across industries. We don't just power machines-we empower visionaries by providing future-ready solutions that drive innovation efficiently, securely, and at scale.
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