MLOps Platform -
A Complete Solution in Your Environment
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.
Products
Accelerate time-to-market for new products with Neu.ro AI cloud — a managed cloud environment with best MLOps tools and support included, powered by green energy from atNorth. Neu.ro AI Cloud is based in a near-Arctic location in Iceland. It’s powered by 100% renewable geothermal and hydro energy, plus free-air cooling. You can’t go greener than that.
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It’s a crying shame that data scientists today spend so little of their time doing data science. The reality is that teams spend most of their day on data wrangling, data preparation, handling software packages and frameworks, configuring infrastructure, and integrating various components. Neu.ro solves this – it’s like having an experienced MLOps team in-house to shave months off of your development schedule.
With Neu.ro you will never have a “just read the manual” moment. Neu.ro is a managed service. This means constant support, and leaving nothing to chance. When your organization needs a new tool or methodology, we are there to operationalize it. We help you maintain every step of your ML development pipeline.
Thank you for your consideration of the Neu.ro platform as a solution for your team’s MLOps. 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.
Insights
The Neu.ro team has recently officially presented our zero-emissions AI Cloud during the Digital Transformation Week in Amsterdam. Sebastiaan Holtslag of atNorth and Neu.ro CEO Constantine Goltsev presented at the main stage. Watch the video from this event or read the summary to learn more about sustainable compute and responsible AI.
Sebastiaan Holtslag: Our data centers are concentrated in an audience where we leverage a combination of geothermal and...
Neu.ro, the San Francisco-based developer of cutting edge AI infrastructure, is proud to announce the launch of the Neu.ro AI Cloud, its first zero-emissions AI cloud integrated with a complete stack of MLOps tooling for the entire machine learning lifecycle.
In partnership with sustainable data center leader, atNorth, the Neu.ro AI Cloud has been built from the ground up to simplify and accelerate AI development and deployment. Leveraging the latest AI-optimized NVIDIA GPU architectures, including the A100-powered DGX and HGX systems, the Neu.ro AI Cloud provides market leading developer experience and unified resource management for...
The Neu.ro team has prepared some top-notch treats for you! A new report on the state of #MachineLearning Operations Platforms in 2021.
Here are the main highlights of the fast-growing MLOps industry:
∙ In 2020, 44% of leaders in AI adoption used a standardized toolset to create production-ready data pipelines.
∙ $4 bln in annual revenue is projected to be generated by MLOps platforms by 2025.
∙ Interoperability emerged as a critical requirement for MLOps platforms. It indicates the feasibility and ease of integrating various MLOps tools into a single consolidated setup for end-to-end operations.
...Artem Yushkovsky (Neu.ro) and Paulo Maia (NILG.AI)
The initiativeThe original idea of these ML System Design Sessions was to be somewhat similar to a community reading club format, where one or multiple team members research a paper, present it to the group and then discuss it. But this format, while awesome for diving into new research topics, can sometimes feel lacking in the practical part.
So, we at NILG.ai and Neu.ro decided to try another format where the topic is not a specific paper but an entire research area; and then after a short discussion...
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 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.
Dianthus uses cutting edge AI technology to grow D2C brands – applying hyper-personalized marketing tactics and new AI-centric workflows and processes, Dianthus is the world’s only AI-first ecommerce company.
Altis is the world’s first AI personal trainer. Altis sees you, understands you, and personally instructs you in real-time from a sleek soundbar-size console that connects to any screen on your home. The future of fitness is finally here.