DeepSeek achieved high efficiency by optimizing its models to operate on less advanced hardware, using fewer and less powerful Nvidia AI chips. This allowed them to develop their system for only about $6 million in raw computing power, significantly less than competitors.
DeepSeek claims its new "reasoning" model compares favorably with OpenAI's models, and it has surpassed ChatGPT on Apple's App Store charts. However, it's difficult to definitively state if it's better overall without comprehensive, independent comparisons.
Yes, DeepSeek is a Chinese company. It was founded in July 2023 by Liang Wenfeng, a graduate of Zhejiang University in China.
DeepSeek has open-sourced its latest AI system, meaning it has shared the underlying code with other organizations and researchers. This allows others to develop and distribute their own products using DeepSeek's technologies.
DeepSeek stands out for its cost-efficiency, ability to run on less advanced chips, and its competitive performance compared to leading chatbots. It offers free access to advanced features that are often behind paywalls in other AI services, and it can articulate its reasoning before providing answers.
DeepSeek’s transformative capabilities are amplified when deployed on Shakudo, with optimized infrastructure management that reduces both setup time and operational costs. With Shakudo, companies can rapidly deploy DeepSeek into their existing systems without needing to invest in complex computing resources or dedicated AI teams.
Shakudo ensures that DeepSeek operates within your enterprise’s security framework, providing end-to-end encryption, data privacy compliance, and robust protection for sensitive data. With advanced RAG technologies, companies can integrate DeepSeek into their proprietary data sources, such as PII and financial records, to generate highly personalized insights while maintaining the highest level of confidentiality.
As an all-in-one operating system, Shakudo can seamlessly integrate DeepSeek into the organization’s existing data stack, enabling a unified workflow from data retrieval to model deployment. Such an end-to-end integration also significantly boosts efficiency and enables the creation of other data-driven applications across the organization.