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August 06.2025
2 Minutes Read

Myrtle.ai and Napatech: Unlocking Microsecond ML Inference Latencies

Futuristic robot using holographic laptop in digital setting highlighting microsecond ML inference latencies.

The Quantum Leap in Machine Learning Inference Speed

In a groundbreaking announcement, Myrtle.ai has unveiled its VOLLO inference accelerator, now optimized for Napatech's NT400D1x series of SmartNICs. This development positions Myrtle.ai at the forefront of machine learning by providing inference latencies that can dip below one microsecond. Such speed could revolutionize various fields, including finance, telecommunications, and cybersecurity, where split-second decisions are crucial.

Understanding SmartNICs and Their Role

Smart Network Interface Cards (SmartNICs) are high-performance networking devices that enhance traditional NIC functionalities. By integrating computing capabilities directly into the network, they enable organizations to perform data processing closer to where data is generated. The marriage of Myrtle.ai’s VOLLO with Napatech SmartNICs facilitates the execution of various ML models like LSTM, CNN, and Random Forests, proving essential for applications that demand real-time analytics.

Why Low Latency Matters

In industries such as financial trading, even the slightest delay can lead to significant losses. By moving machine learning inference to the network edge, Myrtle.ai allows businesses to reduce response times dramatically. Jarrod J.S. Siket, Chief Marketing Officer at Napatech, emphasizes how critical these low latencies are as more companies turn to ML for auto trading, underlining the economic implications of this technology. The speed at which organizations process data could redefine competitiveness in their respective sectors.

Potential Applications Beyond Finance

The utility of VOLLO isn't confined to trading. Its incredibly low latency makes it practical for various use cases, such as enhancing security protocols in cybersecurity, improving network management efficiency, and streamlining telecommunications. By achieving the lowest possible latencies, businesses can not only secure transactions but also bolster operational efficiencies, which are essential in our rapidly evolving marketplace.

Embracing the Future of AI

As organizations increasingly adopt artificial intelligence, the demand for efficient, lightning-fast machine learning capabilities will surge. Myrtle.ai's collaboration with Napatech is poised to be a game-changer, providing the necessary tools for organizations to leverage AI's full potential. The ability to run complex ML models efficiently opens doors to innovations that could reshape not just industries, but society itself.

Considering the implications of such technology, businesses should ask themselves how they can adapt to this evolving landscape. What adjustments will they need to make in their infrastructure or strategy to capitalize on advancements like those introduced by Myrtle.ai?

As we move forward into an increasingly data-driven world, decisions around technology adoption will define the organizations that thrive versus those that fall behind. The evolution of machine learning technologies such as VOLLO could signify the start of a new era in intelligent computing.

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08.05.2025

Guident's Patent Expansion: A Leap in AI-Powered Autonomous Vehicle Safety

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08.04.2025

HERE Technologies Achieves ISO/IEC 42001 Certification for AI Responsibility

Update A New Era in AI Management: HERE Technologies Sets the Standard On August 4, 2025, HERE Technologies announced a significant milestone by achieving the ISO/IEC 42001 certification, making it the first company in the digital mapping and location technology sector to receive this prestigious recognition. This certification establishes a comprehensive framework for managing artificial intelligence responsibly, which is particularly vital as we enter the age of Agentic AI. Understanding ISO/IEC 42001 ISO/IEC 42001, introduced in late 2023, is the first international standard aimed at guiding organizations on responsible AI management. It emphasizes essential components such as mitigating bias, ensuring algorithmic transparency, and promoting human oversight and governance. As society increasingly relies on AI, this standard plays a critical role in fostering trust and accountability in AI-powered technologies. The Importance of Responsible AI in Location Technology Location technology is intertwined with various sectors, including automotive, logistics, and urban mobility. In this context, HERE Technologies emphasizes the need for ethical AI practices. "We’re proud to lead the way in responsible AI for location technology," stated Damandeep Kochhar, EVP, Chief Platform & Technology Officer. As HERE’s certification validates their structured approach, it provides crucial reassurance to customers developing AI-driven applications, ensuring these systems are built on foundations of responsibility and integrity. Implications for Customers and Industries The certification not only enhances HERE's reputation but also contributes positively to their customers' operations. Businesses integrating HERE's AI solutions can expect improved outcomes, reduced risks, and increased value. This is vital as many companies navigate the complexities of implementing AI in their systems. With the ISO/IEC 42001 standard, HERE empowers its partners to advance in their AI initiatives confidently, knowing they adhere to internationally recognized ethical standards. Looking Toward the Future of AI Governance As other companies look to adopt AI technologies, the importance of being certified under standards like ISO/IEC 42001 will likely grow. The benefits of transparency, accountability, and ethical management will be crucial in forming public perception and gaining trust. Therefore, organizations must prioritize responsible AI practices to remain competitive and socially accountable in an evolving landscape. Creating a Responsible AI Culture To further embed responsible AI practices, organizations should consider establishing a culture that values ethics in technological development. This requires commitment not only from leadership but across all departments involved in AI initiatives. Fostering an environment where ethical discussions are commonplace will enhance the understanding and execution of responsible AI across the board. Overall, HERE Technologies’ achievement of ISO/IEC 42001 certification is more than just a milestone; it represents a significant step toward responsible AI in the location data industry, setting a benchmark for others to follow. As industries transition to smarter, technology-driven methods, embracing these principles will become increasingly important.

08.02.2025

SiMa.ai Raises $85 Million to Scale Physical AI and Lead Market

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