Hewlett Packard Enterprise Co. (HPE) has introduced a new cloud service to cater to the growing demand for generative artificial intelligence (AI) tools.



This product, named HPE GreenLake for Large Language Models (LLMs), offers a cloud-based supercomputing service that aids in the training and deployment of LLMs and other generative AI models.

This strategic move brings HPE into direct competition with major cloud computing providers like Amazon.com, Microsoft Corp, and Alphabet Inc's Google, as they all strive to adapt their extensive data centers to meet the rising popularity of AI-powered services such as chatbots and image generators.

With HPE GreenLake for LLMs, enterprises can now privately train, fine-tune, and deploy large-scale AI using an environmentally sustainable supercomputing platform, which combines HPE's AI software with cutting-edge supercomputers. In collaboration with Aleph Alpha, a German AI partner, HPE offers a pre-trained LLM named Luminous, designed specifically for text and image processing. Unlike ChatGPT, Luminous caters more towards industry, government, healthcare, financial services, and legal professionals.

Orders for HPE GreenLake for LLMs are already being accepted, and the service is expected to be more widely available by the end of 2023, starting with North America and followed by Europe in early 2024.

OpsRamp enhances HPE GreenLake's edge-to-cloud platform and sustainability dashboard

In addition to HPE GreenLake for LLMs, HPE has also unveiled a range of new services to expand its GreenLake platform. This platform provides on-premises solutions in a cloud-like, subscription-based, as-a-service model.

One notable addition is OpsRamp, a Software as a Service (SaaS) offering from Hewlett Packard Enterprise's subsidiary, which enables full stack observability and automation across hybrid, multi-vendor, and multi-cloud environments. These features empower customers to streamline operations, reduce complexity, and optimize costs within their hybrid cloud estates.

OpsRamp also enhances HPE's sustainability dashboard, offering visibility into IT assets and applications across diverse vendor and cloud environments. The sustainability dashboard, available in early access mode, complements the GreenLake platform, providing customers with valuable insights to drive sustainable practices.

HPE expands GreenLake portfolio for modern private clouds and partner ecosystem

Organizations are increasingly adopting private cloud offerings to achieve greater visibility, control, and predictability of their workloads and data across various environments. HPE GreenLake's portfolio of private cloud offerings continues to expand, providing customers with a simple, flexible, and intuitive experience for running modern private clouds.

HPE's GreenLake Cloud Services for AI is designed to meet the growing demand for AI solutions in various industries. The service aims to help businesses accelerate their AI initiatives by providing a flexible and scalable cloud platform.

Some of the key features of HPE's AI cloud service include:

1. Comprehensive AI Portfolio: The service offers a wide range of AI tools and capabilities, including pre-built models and algorithms, to support organizations in various AI applications such as image recognition, natural language processing, and predictive analytics.

2. Flexible Deployment Options: HPE allows customers to choose between deploying their AI workloads on-premises, in a colocation facility, or in the public cloud. This flexibility gives businesses the freedom to optimize their infrastructure based on their specific requirements.

3. Integrated Analytics and Data Management: HPE's cloud service integrates with popular data analytics and management platforms, enabling organizations to seamlessly analyze and manage their AI data. This integration simplifies the entire AI workflow, from data ingestion to model training and deployment.

4. High-Performance Computing (HPC) Infrastructure: HPE offers powerful hardware options, including HPC infrastructure, to accommodate large-scale AI workloads. This ensures that organizations can process and analyze massive amounts of data efficiently, leading to faster and more accurate AI insights.

HPE's GreenLake Cloud Services for AI aims to differentiate itself from competitors by offering several key benefits:

1. Flexibility and Scalability: HPE's cloud service allows businesses to easily scale their AI workloads up or down as needed, providing the flexibility required in today's dynamic business landscape. This means organizations can start small and grow their AI initiatives over time without the need for significant upfront investments.

2. Interoperability: HPE's cloud service is designed to integrate with a wide range of AI tools and technologies, making it easier for businesses to leverage their existing AI investments. It enables seamless collaboration across different AI platforms, simplifying the process of managing and deploying AI models.

3. Performance and Speed: With its high-performance computing infrastructure, HPE's cloud service offers the processing power required to handle large-scale AI workloads efficiently. This leads to faster insights and improved productivity for businesses.

4. Cost Optimization: HPE's pay-per-use model ensures that organizations only pay for the resources they actually consume, allowing them to optimize costs. By avoiding upfront hardware investments and having the ability to scale resources as needed, businesses can achieve cost savings and better budget control.

5. Simplified Management: HPE's cloud service provides a unified management interface that enables businesses to manage their entire AI workflow from a single platform. This simplifies the management and monitoring of AI projects, making it easier for organizations to stay on top of their AI initiatives.

HPE's GreenLake Cloud Services for AI also offers additional features and benefits:

1. Security and Compliance: HPE prioritizes security and compliance, ensuring that customer data and AI models are protected. The cloud service includes robust security measures, such as encryption, access controls, and threat detection, to safeguard sensitive AI workloads.

2. Industry Expertise and Support: HPE brings its extensive experience in enterprise technology and infrastructure to its AI cloud service. This expertise allows them to understand the unique requirements of various industries, offering tailored solutions and industry-specific knowledge to customers.

3. Simplified Deployment and Operations: HPE's cloud service streamlines the deployment and management of AI workloads, reducing complexity and speeding up time-to-value. It provides a user-friendly interface and automated processes, making it easier for organizations to set up, configure, and operate their AI environments.

4. Collaboration and Integration: The cloud service promotes collaboration and integration by enabling teams to work together seamlessly. It supports popular AI frameworks, tools, and libraries, allowing organizations to integrate their existing AI workflows and collaborate with data scientists, developers, and other stakeholders effectively.

5. Enterprise-grade Reliability and Performance: HPE's cloud service is built on a reliable and resilient infrastructure, ensuring high availability and performance for mission-critical AI workloads. It offers advanced analytics and monitoring capabilities, allowing organizations to optimize their AI solutions for efficiency and performance.

6. Hybrid Cloud Capabilities: HPE understands that businesses may have a mix of on-premises and cloud environments. Their cloud service enables seamless integration and management of hybrid AI deployments, providing consistency and flexibility across different infrastructures.

Overall, HPE's GreenLake Cloud Services for AI aims to address the specific needs and challenges of organizations adopting AI technologies. By offering a comprehensive suite of features, industry expertise, and support, HPE strives to provide businesses with the tools and resources necessary to succeed in their AI initiatives.

The focus on private training and deployment of generative AI models is timely, yet the competition is fierce. With giants like Amazon and Microsoft already dominating the cloud space, HPE's new offerings risk being overshadowed. While the partnership with Aleph Alpha and the introduction of Luminous is a step in the right direction, the real challenge lies in convincing enterprises to shift their allegiance.

The sustainability dashboard and OpsRamp enhancements are noteworthy, but they may not be enough to sway decision-makers who are already entrenched in other ecosystems.