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Lenovo, Anaconda announce agreement to accelerate AI development, deployment

The partnership will couple Lenovo’s trusted ThinkStation and ThinkPad workstation product portfolio heritage and leadership with Anaconda’s enterprise strengths for open-source leadership, security, and reliability.  

Lenovo announced an agreement with Anaconda Inc., the leading provider of the world’s most popular  artificial intelligence (AI), machine learning (ML) and data science platform, to empower Lenovo’s high performance data science workstations. The partnership will couple Lenovo’s trusted ThinkStation and ThinkPad workstation product portfolio heritage and leadership with Anaconda’s enterprise strengths for open-source leadership, security, and reliability.  

 The rapidly evolving world of artificial intelligence, deep learning and generative AI is opening up new opportunities for businesses and data scientists. Much of the AI innovation taking place today is driven by open-source software and cloud-based solutions, with Python being a leading software language for AI applications. However, the data security risks associated with utilizing open-source software at an enterprise level, privacy concerns and often prohibitive cost of cloud-based AI solutions, are causing many organizations to rethink their approach to investment in AI development. With Intel®-powered Lenovo workstations architected with the latest generations of professional NVIDIA® GPUs built for large-language model fine-tuning, and the Anaconda Navigator’s ability to enable businesses to leverage open-source and AI with enhanced security, scale, and governance mechanisms in place, the partnership allows data scientists to create and deploy AI solutions with first class hardware and enterprise-grade AI software support within a more manageable investment framework. 

Anaconda Navigator

Optimized for Intel platforms, Lenovo’s new generation of data science workstations deliver remarkable AI performance and is one of the world’s most powerful and scalable AI workstation portfolios. Planning for AI projects requires clear and thoughtful pathways to allocate the right hardware, software and skillsets to manage each stage of AI development. Lenovo workstations complement cloud-based AI solutions by acting as a bridge between local and cloud resources and aid data scientist flexibility and productivity. Lenovo’s full workstation portfolio includes highly configurable systems designed for nearly every AI workflow, industry or vertical, size and price point – all architected to drive the future of AI forward in an agile and cost-efficient way. From single CPU and GPU mobile workstations that are ideal for data input, collection and preparation, to the most powerful dual CPU and four GPU configurations for advanced AI workflows, Lenovo workstations with Anaconda Navigator offer protected “sandbox” environments to tackle the most complex AI solution development and deployment.  

 “With Lenovo’s trusted workstation leadership and Anaconda’s trusted leadership in open-source software support and reliability, the partnership is a perfect match,” said Rob Herman, Vice President and General Manager, Workstation and Client AI Group at Lenovo. “We’re excited to activate this partnership to aid data scientists in pushing forward the capabilities of AI with our premium workstations portfolio and Anaconda’s stellar open-source packages and repositories.”  

 Anaconda Navigator is available for download to use on current and future generation Lenovo Workstations.  

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 “As artificial intelligence and machine learning models grow increasingly complex, high-performance workstations are imperative to empower data scientists with advanced capabilities,” said Chandler Vaughn, Chief Product Officer at Anaconda. “Lenovo’s leadership in supplying optimized workstations, featuring robust GPUs, memory, and storage, positions them as an ideal collaborator for Anaconda and our Navigator desktop product. By jointly providing resilient hardware and trusted software tools, Lenovo and Anaconda present data scientists, AI developers, and AI engineers an unrivaled platform to freely explore emerging techniques in AI/ML. This symbiotic relationship enables organizations to push boundaries and accelerate innovations in artificial intelligence without technological constraints.” 

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