AI presents both challenges and opportunities for enterprises. They must navigate complex technologies, maintain rigorous data privacy and security, ensure scalability and manage costs effectively to harness AI’s full potential. Further, enterprises need the right tools and AI infrastructure to fast-track their AI initiatives.
Business leaders are at various stages of deploying AI enterprise-wide, and some have yet to start. While the potential benefits of AI speak for themselves, enterprises need a measured, strategic approach to realize those benefits without placing their valuable intellectual property at risk. Many enterprises are developing AI strategies and transitioning to a private cloud instead of the public cloud. We call this approach private AI. When companies deploy private AI infrastructure and an AI-optimized private cloud, it helps them minimize AI infrastructure costs, implement AI across the enterprise and keep data private.
Reduce the complexity of integrating generative AI
To overcome the complexities of AI adoption, businesses must be prepared to implement different emerging technologies, requiring highly specialized skills that may not be readily available within existing in-house IT talent. They need specific expertise and active monitoring to ensure compliance with data privacy regulations worldwide—not to mention support with data silo issues.
Achieving all these things requires infrastructure flexibility, agility and connectivity. There’s also a need for a more distributed AI architecture to manage the multiple sources of data and volume of data exchange that goes into training AI models and running inference workloads. Finally, cloud adjacent digital infrastructure is essential as companies leverage the cloud to house AI datasets and edge inference.
An AI-optimized private cloud, such as HPE Private Cloud AI, helps companies accelerate AI project deployment while ensuring proprietary data remains under their control. By leveraging HPE’s turnkey private cloud for AI and strategic partnerships, enterprises of every size can overcome barriers to AI adoption, ensuring faster time to value, more control and accessibility of their data and seamless scalability that supports future growth.
As an HPE partner, Equinix will host pre-provisioned environments with AI-optimized infrastructure in select Equinix IBX® colocation data centers, making it simple for enterprises of every size to take the first step toward integrating AI across their companies with HPE Private Cloud AI. AI infrastructure supports developing, deploying and managing AI applications and services with dedicated hardware and an end-to-end AI software platform in a secure, controlled setting.
Advantages of deploying HPE Private Cloud AI on Platform Equinix
The combination of hardware, software, multicloud access, data center services, and AI-optimized digital infrastructure from Equinix and HPE allows organizations like yours to jumpstart their AI initiatives. Together, Equinix and HPE have an extensive ecosystem of partners and service providers to make AI deployments more effective and valuable for your business.
You can gain infrastructure agility by leveraging the Equinix portfolio of data center and digital infrastructure services such as Equinix Fabric® for virtual private interconnections and Equinix Network Edge virtual networking devices including firewalls and routers.
When you deploy HPE Private Cloud AI on Platform Equinix®, expect the following benefits and more:
- Data privacy and security: Secure, private infrastructure with full control and access to the lineage of AI models on privately hosted GPUs and interconnections.
- Platform neutrality and flexibility: Shorter supply chain times, access to GPUs and AI foundation models from multiple providers, and cloud-neutral hubs for data exchange.
- Sustainability: Sustainable infrastructure foundation covered by 100% renewable energy at 235+ sites to meet your decarbonization goals.
- Liquid cooling: Liquid-cooled workloads to maximize the power and efficiency of your hardware.
- High power-density racks: Digital infrastructure for AI that can support high-powered racks with uninterrupted, primary and redundant power supplies.
- Cloud adjacency: Access to the #1 global market share of native cloud on-ramps, allowing distributed data aggregation globally.
- Interconnection: Secure data transfer across an ecosystem of 10,000+ customers, including 2,000+ networks and 3,000+ cloud and IT service providers.
- Compliance: Ability to meet regional and country-specific compliance regulations by creating regional hubs of data.
- Global presence: 260+ data centers in strategic locations across 70+ metros in 30+ countries.
Deployment options are flexible and designed to accommodate enterprises at any stage of their AI journey:
- HPE Private Cloud AI with Equinix colocation: Bring your own partner solutions and AI infrastructure. We provide space, power, advanced cooling, and multicloud networking.
- HPE Private Cloud AI: Our fully managed services simplify IT operations and allow you to focus on creating value. We provide management for AI-ready infrastructure, including compute, storage and networking.
HPE Private Cloud AI at Equinix will be available this fall.
Learn more about how our partnership with HPE helps enterprises simplify the management of digital infrastructure.
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