🌟 Make Your First Move into AI with Confidence
As we embark on 2026, AI adoption is no longer just for tech giants—it’s a necessity for industrial efficiency. However, high costs and complexity often hinder implementation.
MLiS is here to change that. Beyond just hardware, we offer a strategic entry point for businesses ready to step into the AI field. Our 2026 portfolio is engineered to be the pragmatic foundation of your AI strategy, delivering optimized efficiency where it matters most, striking the perfect balance between performance and investment value.
 

1. Hardware Core: The Right Engine for Every Task
✅MLB-EmCore3568 (1 TOPS)
  • USage: Efficient IoT Gateway: Ideal for data collection, basic control, and low-power connectivity.
✅MLB-EmCore3588 (6 TOPS) & MLB-EmCore3688 (16 TOPS)
  • Usage: Smart Vision Standard: Optimized for multi-stream analysis and computer vision tasks. and Faster response for complex algorithms and real-time logic.
✅ MLB-EmCoreK3 (64 TOPS)
  • For RISC-V: Next-gen architecture designed for heavy workloads and advanced edge AI.

2.  Board vs. Box: Choose Your Integration Path
We offer flexible form factors tailored to your deployment stage:
✅Embedded Cores (Board/SoM): For Deep Integration
Designed for developers building custom systems or embedded instruments.
✅Edge Platforms (Box PC): For Immediate Deployment
Rugged, fanless systems ready to connect external devices like PLCs, Robotic Arms, and Displays. Plug-and-play for immediate field application.

3. Portfolio Positioning: From Entry to High-End
Our strategy ensures you only pay for the compute power you need:
✅The MLiS Series (Entry & Mid-Range / Cost-Effective):
  • Focusing on ARM & RISC-V architectures.
  • The perfect "Step-in" choice for gateway operations, basic inference, and cost-sensitive projects.
✅The Caswell Series (High-End / Heavy Loading):
  • Partnering with Intel x86 & NVIDIA platforms.
  • Designed for mission-critical tasks requiring massive computing power (e.g., Server-grade processing).


4. Software & API: Bridging Edge to Cloud
Hardware is just the beginning. Our long-term roadmap focuses on "Connecting Edge to Cloud":
  • Building the Framework: We are developing a standardized framework to simplify device management.
  • API Development: A future-ready API strategy to ensure seamless data flow between edge devices and cloud/web servers, reducing integration complexity.

📢 Ready to Build Your Next AI Solution?
Ready to Define Your Practical AI Strategy? Navigating the choices between ARM and RISC-V architectures, or deciding between an Embedded Board and a Rugged Box, is crucial for project success.

Let’s Find Your Perfect Fit. Contact our technical team today. We help you cut through the complexity to select the most cost-effective combination of Core, Edge Platform, and Software—ensuring benefit maximization under precise cost considerations.

Align with Our 2026 Roadmap. Whether you are looking for scalable AI Computing Solutions, or want to learn how our upcoming "Edge-to-Cloud" Software & API framework can accelerate your development, the MLiS team is ready to collaborate.

Ready to Define Your Practical AI Strategy? Navigating the choices between ARM and RISC-V architectures, or deciding between an Embedded Board and a Rugged Box, is crucial for project success.

👉 Contact us for a strategic consultation: [email protected]
#MLiS #2026Outlook #EdgeAI #CostEffectiveAI #IIoT #RK3588 #K3 #RISCV #NPU #DigitalTransformation #AIComputing