The Complete Bare Metal ML and AI Colocation Solution
Machine Learning Operations (MLOps) streamlines data training and machine learning models to production as a core function of machine learning engineering. MLOps supports automation, governance, compliance, collaboration, diagnostics, and data modeling predictability and intends to deliver the most reliable and efficient data models. While Machine Learning can be challenging, MLOps fully embodies testing, iterative development, continuous improvement, and DevOps integration into the machine learning lifecycle.
Neu.ro’s OEM AI Cloud is the AI stack required for Cloud Service Providers to capture AI workloads and stop client migration to hyperscale cloud providers. Data science teams demand more than bare- metal GPUs to succeed – they need full-fledged AI development environments, seamless integration with their on-prem environments and MLOps expertise. Neu.ro installs all of this on top of your existing GPUs, in as little as 7 days.
Right out of the box, Neu.ro spins up a full-fledged ML development environment with all the tools you need at your fingertips.
Neu.ro provides management and automation of the infrastructure and processes for successful ML development at scale. Our team seamlessly stitches your on-prem and cloud resources, deploys pipelines and integrates your open-source and commercial development tools.
Unlock the full potential of GPT-like services and AI model training and inference with a comprehensive solution from Neu.ro. Experience the cutting-edge capabilities of our AI training, fine-tuning, and inference service, powered by the state-of-the-art atNorth and Cato green infrastructure. This environmentally-friendly solution not only delivers unmatched performance but also offers cost-effective benefits, all seamlessly integrated with the Neu.ro platform. Discover a complete solution that combines innovation, sustainability, and efficiency for your AI needs.
Building successful Machine Learning solutions is hard. You don’t have to go it alone. Neu.ro’s ML Solutions team has completed dozens of successful engagements with enterprise, AI-product companies and governments around the world. With over 170 published papers in ML/DL and accolades from major AI conferences, Neu.ro delivers cutting-edge solutions across the spectrum of ML technologies.
Thank you for your consideration of the Neu.ro platform as a solution for your team’s MLOps needs. This Discovery Questionnaire allows our teams to quickly and thoroughly assess the value of the Neu.ro platform for your projects and tailor our offering to your specific requirements.
This survey starts with introductory questions, then covers three major components of the ML project lifecycle (Data, Model, Deploy), and concludes with some general organizational questions. It should require less than 20 minutes of your time. With this information, our specialists will be able to advise you on the best ways to accelerate and improve your AI development processes.
Neu.ro, a leading provider of Bare Metal MLOps solutions, is excited to announce that it has joined the iMasons Climate Accord (ICA). The ICA is a historic coalition of over 200 global companies designed to govern a methodology to measure and reduce carbon in the infrastructure through products, power, and materials.
As part of its commitment to ethical and sustainable AI, Neu.ro is proud to push le AI is a vital movement across the entire tech industry,” said Neu.ro CEO Uri Soroka. “Onethe envelope and set an example in the tech industry. “We believe that...
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 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 announced a major new initiative and strategic...
A premier operator of traditional and high-performance Tier III Uptime Institute certified data centers, is expanding its offerings with dedicated HPC solutions tailored for AI research and development, powered by Neu.ro’s MLOps platform.
Neu.ro is the pre-installed MLOps Platform for Cato Digital: Low-cost, low carbon bare metal provider.
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.