Kyndryl (NYSE: KD), a leading provider of critical enterprise technology services, has announced an expansion of its global strategic partnership with Hewlett Packard Enterprise (HPE) to promote the deployment of HPE Private Cloud AI, a turnkey enterprise solution designed as an “AI factory” and developed jointly with NVIDIA.
The goal is to give organizations a secure, scalable, and optimized environment for running AI workloads, with deployments available both in private cloud and on-premises, leveraging the power of the NVIDIA AI Computing platform by HPE.
Consulting, Deployment, and Scalability: Kyndryl’s Role
Through Kyndryl Consult, the company will integrate its private AI services and accelerators to guide clients from initial design to large-scale operation. This includes:
- Design and architecture of private AI environments.
- Integration of observability, automation, and unified control with HPE solutions.
- AI accelerators that optimize deployment and reduce time-to-market.
Nicolas Sekkaki, global leader of Kyndryl’s cloud practice, highlighted that this partnership “strengthens our shared commitment to innovation and the acceleration of private AI solutions, combining HPE Private Cloud AI, NVIDIA computing power, and Kyndryl’s consulting expertise to offer scalable and secure AI strategies.”
Benefits for Various Industries
Kyndryl and HPE are targeting sector-specific use cases demanding high levels of security, performance, and flexibility:
Healthcare:
- Secure processing of sensitive patient data.
- Deployment of generative AI in clinical and hospital management applications.
- Improved diagnostics, personalized treatments, and operational efficiency.
Financial Services:
- Running AI workloads in environments with strict security and regulatory compliance.
- Fraud detection and anti-money laundering models.
- Process automation and enhanced user experience.
Integration with NVIDIA AI Computing by HPE
HPE Private Cloud AI is the flagship offering within the NVIDIA AI Computing by HPE portfolio. It’s designed to:
- Run generative and multimodal AI models in secure enterprise environments.
- Deliver high performance and low latency for critical workloads.
- Enable centralized and scalable management in hybrid and on-premises environments.
Gilles Thiebaut, senior vice president of global hybrid cloud sales at HPE, emphasized that this collaboration “represents a decisive step for companies to adopt and develop AI solutions that drive productivity and generate quick, sustainable ROI.”
Track Record in Private AI Projects
Kyndryl has extensive experience deploying private AI environments worldwide. Notably, it developed a private AI cloud for clients in France to accelerate the creation and deployment of enterprise AI solutions in a secure and isolated environment.
Impact Analysis
This partnership responds to the increasing demand for private AI clouds from companies seeking:
- Regulatory compliance in sectors like banking, health, and defense.
- Control over data and infrastructure amidst digital sovereignty risks.
- Optimized performance without relying solely on public clouds.
Industry analysts note that this move consolidates Kyndryl and HPE’s positions as key providers in the emerging market of sovereign AI and specialized AI data centers, where NVIDIA already plays a central role as a hardware and development framework provider.
Outlook
The joint strategy envisions an “AI factory” model allowing companies to:
- Design and train their own models.
- Deploy them in high-security environments.
- Scale without rewriting architecture.
This modular and private approach could accelerate the transition of organizations toward more intensive AI use, while maintaining control over infrastructure, costs, and data confidentiality.
Frequently Asked Questions (FAQs)
1. What is HPE Private Cloud AI?
It is a turnkey solution for implementing private AI environments, developed by HPE in collaboration with NVIDIA, tailored for critical generative AI workloads and advanced analytics.
2. What does Kyndryl contribute to this partnership?
Consulting, design, integration, and operations services, along with accelerators that enhance deployment and management of private AI.
3. Which sectors will benefit most?
Healthcare, financial services, manufacturing, and any industry with high security and performance requirements.
4. Why choose a private AI cloud over a public cloud?
For better data control, regulatory compliance, predictable performance, and reduced dependence on external providers.
via: kyndryl