"Apolo’s approach to ML/AI models development, training, and inference perfectly aligns with our view of how sustainability should look in the data processing industry”
Cato Digital CEO
AI is a significant and growing driver of increased cloud usage in the data center industry, but teams require orchestration and integration support at each development and deployment stage. And all of these should come with a seamless solution to track the associated carbon footprint of training and a tool to reduce it.There is a growing demand for cloud-based AI infrastructure to support the AI associated workloads. Cloud providers invest heavily in building their AI capabilities to meet this demand, offering machine learning, natural language processing, and computer vision services.
AI progress, often driven by larger models, such as GPT-4, or more extensive data sets, comes at a real cost to the environment. Organizations of all sizes are increasingly conscious of the impact of their operations on the climate. The focus in designing and operating AI systems should be on energy efficiency, which can be achieved by using algorithms that demand minimal computational resources and removing unnecessary energy consumption.
AI’s portion of electricity consumption is growing much faster than other technologies. Deep Learning models and the data sets they train upon are increasing at a truly extraordinary rate – in the near times, the leading language model will have increased in size by over 100,000x.
The rapid advancement of AI technologies requires a specialized ecosystem that not only provides the necessary computational resources but also the infrastructure to manage these resources effectively. Traditional data centers must evolve to accommodate the unique demands of AI workloads without compromising on efficiency or sustainability.
Cato Digital is fully dedicated to constructing the world’s most sustainable bare metal platform. It is achieved using second-life hardware, stranded data center power capacity, and renewable energy. In alignment with the iMasons Climate Accord, Cato addresses scope-3 emissions as its contribution.
To facilitate AI workload growth and satisfy its current and future AI needs, Apolo installed its orchestration and interoperability MLOps solution to reside natively on Cato Digital data centers.
Moreover, the platform integrates a wide selection of best-in-breed AI/ML toolsets that cover the entire ML lifecycle. In an accelerated timeline, Apolo successfully installed, tested, and launched turnkey AI/ML services on Cato, enabling the company to leverage 100% green data center infrastructure.
Additionally, the platform’s functionality allows for multi-cloud and hybrid cloud architectures, and users can access pre-integrated AI/ML products, apps, and APIs – encompassing open-source and proprietary options. This provides users with several benefits, including cost, time, difficulty, and risk reduction for their AI development projects.
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If you’re ready to adapt your infrastructure, contact us today. For any requests or queries, please use the form below. A member of our team will respond within 2 business days or sooner.
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