MLSoC™ Platform
A powerful Machine Learning System on Chip (MLSoC) for deploying AI at the embedded edge.
The MLSoC™ Platform by SiMa Technologies is an advanced Machine Learning System on Chip designed to facilitate the deployment and scaling of AI applications at the embedded edge. The platform supports any edge application and is compatible with various networks, models, modalities, frameworks, sensors, and resolutions. It targets industries such as industrial, automotive, healthcare, retail, and more by providing real-time data processing capabilities with low power consumption. This platform stands out by offering a significant performance boost, boasting 12x faster pipeline processing compared to traditional PCIe ML accelerators, and superior power efficiency, making it ideal for edge AI applications.
The MLSoC™ Platform enables businesses to deploy robust AI solutions rapidly and with greater cost-effectiveness. The platform is tailored to support developers in creating and testing AI models with the provided DevKit, ensuring a quicker time to market for edge applications. As the only purpose-built Gen AI chip at the edge, MLSoC™ empowers organizations to execute full-pipeline implementations efficiently, supporting innovation in AI and ML across diverse sectors.
Pros:
- Exceptional performance with a 10x speed increase
- High power efficiency (40%-400% better FPS/watt)
- Supports a broad range of applications and devices
- Enables rapid development and deployment
Cons:
- Potential learning curve for new developers
- High initial set-up costs for hardware
- Dependency on vendor-specific support
Features:
- Scalability - Easily scale AI implementation across devices
- Compatibility - Supports any network, model, and framework
- Performance - 12x faster than traditional solutions
- Efficiency - Superior power efficiency for edge devices
Integrations:
- GitHub - Seamless collaboration and version control for developers
- Developer Portal - Access to resources and tools for integration
Pricing:
- Not Disclosed - Customized based on user requirements
Implementation Timeline
Not Disclosed
Onboarding
Not Disclosed
Sandbox
No
Compliance
Not Disclosed
Company Stage
Series A
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