- Kyndryl (KD, Financial) launches AI Private Cloud services to enhance enterprise AI deployment.
- Partnership with NVIDIA supports solution offering, targeting industries like finance and healthcare.
- Services aim to close gap in AI readiness, addressing data security and MLOps challenges.
Kyndryl (KD), a key player in enterprise technology services, has announced the launch of its AI Private Cloud services. These services, backed by consulting expertise, aim to facilitate the development and deployment of enterprise-grade AI solutions. This initiative comes as Kyndryl seeks to address the pressing demand for secure and compliant AI deployment solutions.
The newly introduced services feature various capabilities, including Kyndryl Consult, which aids enterprises in designing, planning, and executing AI projects with a focus on high-return on investment use cases. A significant part of this offering is the ongoing collaboration with NVIDIA and other partners, which ensures cloud deployment options are tailored for specific models and use cases. This collaborative effort includes the establishment of an AI Private Cloud in Japan using Dell AI Factory with NVIDIA, demonstrating Kyndryl's commitment to creating global AI private cloud capabilities.
The AI Private Cloud environment includes containerization, data science tools, and microservices for managing AI applications, allowing seamless deployment and management within the private cloud. The services cater to industries such as financial services, healthcare, telecommunications, and manufacturing, addressing specific needs like data security, risk management, and operational efficiency.
Despite the high confidence among leaders in their AI implementation—86% confidence level—only 29% believe their systems are ready to handle future risks. Kyndryl's AI Private Cloud services seek to bridge this gap, offering robust data privacy and compliance measures, and facilitating a unified approach for accelerated AI development. This strategic move demonstrates Kyndryl's intent to capitalize on the growing enterprise demand for comprehensive AI solutions.
