MLOps intro
Today, everyone wants to be a machine learning hero, but only a handful of tech leaders know how to move an AI project from concept to production without night sweats (and awkward conversations with the CEO). You can be one of them. Without growing the headcount of your engineering team.
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When we consider the environmental impact of AI and MLOps, our attention is usually focused on the significant energy usage for the compute cycles required for training. After all, a single high-performance GPU can consume 300 watts of power, which means that running 500 of them at full power for two weeks (to train a very large language model, for example) would use approximately 500,000 kWh – or roughly the amount of power needed to power 50 houses for an entire year.
But there are even more critical...
Neu.ro, an MLOps technology company with a full-stack AI Cloud solution collaborates with LGN, an Edge AI software vendor to work on building the most robust and sophisticated AI models faster than ever before using the world’s most advanced continuous learning loop for enterprise grade deployments.
Extending AI processes to a large number of deployed devices is a challenge for Neu.ro customers. With the help of LGN, we will close the loop and drastically simplify for our joint customers, providing exceptional value and efficiency. LGN is an Edge AI specialist that builds software allowing companies...
At Neu.ro we believe in the power of community and positive change through the dialogue. This week we mark an important milestone in Neu.ro Ethical and Sustainable strategy that we have recently implied in our company – a report from a non-profit organization “All tech is human”.

Neu.ro CEO, Arthur McCallum has been featured in the latest paper by the responsible AI community and answered a range of questions on the current and future state of Ethical AI and our role in the fast-changing industry:
“Beginning in 2021,...

Neu.ro, a leading Machine Learning Operations (MLOps) company, to launch the AI Revenue Intelligence Lab with Revenue Grid, the go-to Revenue Operations and Intelligence solution for sales teams around the world. The lab will focus on ML-driven research and development efforts to build innovative Revenue Intelligence solutions.
As data stands at the core of Revenue Intelligence, artificial intelligence and machine learning technologies are becoming more prevalent in this field. According to the 2021 Gartner® Market Guide for Revenue Intelligence Platforms report, “By 2025, 70% of all B2B seller-buyer...
Case studies


A leading Nordic data center services company offering environmentally responsible, power-efficient and cost-optimized hosting facilities and high-performance computing services.


A San Francisco-based AI infrastructure company needed robust MLOps on AWS to unblock scaling of their synthetic data platform.


An AI-centric CRM company sought to unblock production scaling of their NLP pipelines for email integration, automated sequencing and guided selling.


The European Microbiology Laboratory advanced traditional microbiology research methods with state-of-the-art Deep Learning.


A retail giant sought an industry-leading Computer Vision application sufficiently robust to support it’s global scale.


Japan’s leading medical supplies company sought to automate their supply chain with state-of-the-art Computer Vision.