MLOps Platform - A Complete Solution in Your Environment

MLOps Platform - A Complete Enterprise Solution’s MLOps manages your team’s entire ML lifecycle, integrating best-in-breed open source and proprietary ML/DL tools into collaborative pipelines that run seamlessly on any compute: on-prem, cloud, edge and hybrid. focuses on the infrastructure, so your data scientists can focus on the models.
2021 Report on MLOps Platform Vendors
2021 Report on MLOps Platform Vendors is pleased to share our 2021 MLOps Platform Vendor Analysis. Developed for AI/ML leaders like you, we’ve analyzed how 10 MLOps vendors stack up in terms of infrastructure, data management, model development, model training, tuning, and deployment.
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Data Centers! Learn How to Capture 2X Growth in AI Revenue
Calling all DCs and regional CSPs – stop trying to sell bare metal. Start offering production-ready AI products and managed services, like the hyperscale CSPs have.Consider the numbers: By 2025, GPU-as-a-service (GPUaaS) will be a $7 billion market thanks to the widespread ML/DL adoption, with AI capabilities becoming the #1 driver enterprise infrastructure decisions. Over 50% of cloud clients will use AI orchestration platforms by 2025, up from 10% in 2021.The bottom line: AI capabilities will drive significant profits for CSPs. Position your business to profit from AI with MLOps platform, instead of losing out to hyperscalers.
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MLOps intro

What is MLOps?

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 for CSPs’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. installs all of this on top of your existing GPUs, in as little as 60 days.

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Neuro platform for telecommunications & data centers companies
MLOps Platform for Enterprise

Right out of the box, spins up a full-fledged ML development environment with all the tools you need at your fingertips. 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.

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Zero-emission AI Сloud

Accelerate time-to-market for new products with AI cloud — a managed cloud environment with best MLOps tools and support included, powered by green energy from atNorth. 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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ML Solutions & Consulting

Building successful Machine Learning solutions is hard. You don’t have to go it alone.’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, delivers cutting-edge solutions across the spectrum of ML technologies.

mlops product
MLOps Discovery Survey

Thank you for your consideration of the 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 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.

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MLOps Discovery Survey


Practical Green MLOps
A manifesto on environmentally sustainable AI infrastructure.

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... launches Lab for Distributed Edge Compute with LGN Innovations Inc., 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 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... Featured in AI and Human Rights Report

At we believe in the power of community and positive change through the dialogue. This week we mark an important milestone in Ethical and Sustainable strategy that we have recently implied in our company – a report from a non-profit organization “All tech is human”. 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... launches AI Revenue Intelligence Lab with Revenue Grid, 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...

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