Learn how the HPE Machine Learning Development System helps you reduce the complexity of AI and ML infrastructure deployment and management.
With the increasing need to implement artificial intelligence (AI) initiatives, organizations are faced with an array of challenges as they face the complexities of acquiring, deploying, and managing the required infrastructure.
Some of those challenges include:
- Determining the specialized infrastructure needed to support complex AI and machine learning (ML) workloads
- Lacking the IT expertise to set up and manage the infrastructure for Generative AI models โ
- Engineering resources occupied with setting up and managing infrastructure, not developing and training AI, ML, and deep learning (DL) models
- Dealing with constrained performance of AI systems limited by power, space, and compute density
- Developing an infrastructure strategy that scales and helps future-proof for growing AI workloads
HPE Machine Learning Development System addresses the challenges
The HPE Machine Learning Development System is a comprehensive solution that helps mitigate IT complexity with a dedicated, high-performance AI infrastructure for Generative AI model development.
Designed to reduce the complexity of AI/ML infrastructure deployment and management, the HPE Machine Learning Development System leverages scalable configurations for improved efficiency of operations and GPU density for the most challenging AI workloads.
Easily and securely integrate Generative AI capabilities with a purpose-built solution that is preconfigured, fully installed, and performant out-of-the-box, giving you the following benefits:
- Comprehensive solution. Concise and thoughtful combination of hardware, software, and high-performance networking and services to speed time to value.
- Ease of use. Removes complexity of setting up infrastructure required for machine learning, allowing ML engineers to focus on domain expertise instead of managing infrastructureโ.
- Scalability. Supports ML projects optimized to scale from simple projects to larger projects and teamsโ.
- Extensible compatibility. Helps alleviate hardware lock-in while being compatible with mainstream hardware and most ML frameworks.
- Future proofed. Flexibility for heterogeneous accelerators to help future-proof AI/ML infrastructure.
- Trust. Validated and supported by a trusted vendor with deep experience in complex AI infrastructure and servicesโ.
Take a deeper look at the details
The HPE Machine Learning Development System is a comprehensive reference architecture. It illustrates the solution design which involves:
- Compute systems and all the accelerators the HPE Cray servers supports (HPE Cray XD670, HPE Cray XL675d)
- Management servers and their architecture (HPE ProLiant DL325 or equivalent)
- Network topology (Mellanox Infiniband HDR/NDR, HPE Aruba 6300M)
- Storage system (HPE ClusterStor, WEKA)
- OS and drivers
- HPE Cluster Management Software
- Kubernetes
- HPE Machine Learning Development Environment Software (formerly known as Determined.AI)
- HPE Machine Learning Data Management Software (formerly known as Pachyderm โ available with customization)
- HPE services including Factory Express and PointNext
From this reference architecture, you can jump start your AI infrastructure selection by choosing one of eight pre-built systems to fit your AI workload including the appropriate hardware and software configuration from the solution design elements as listed above.
Each offering comes with all the details including cabling instructions and data center power analysis. The pre-built solutions can be used as a standalone system as well as a starting point for customization. The solution will be fully assembled and validated in factory and on-site with white glove delivery service from HPE.
The HPE Machine Learning Development System also comes with trustworthy support and services. In addition to the hardware services provided by HPE PointNext, there are ML-specific services from our HPE AI group.
Need a helping hand? Weโve got you covered.
To help you navigate the complexity of understanding, deploying, and using advanced AI infrastructure, HPE offers a free proof-of-concept service. Our AI experts will confer with your engineers, get data, and run the job to make sure your ML problem can be solved by our solution.
On delivery, our ML engineers will guide you through the initial installation and ramping up to make sure the first model is trained on the first day. We also provide various workshops to help you onboard, and deep dive into model design, model porting, and MLOps design.
For organizations navigating the complexities of complex AI infrastructures and integrating Generative AI, the HPE Machine Learning Development System can help deliver an integrated, secure, reliable and cost-efficient AI/ML technology and infrastructure solution.
Learn more about the HPE Machine Learning Development System. Visit our webpage.
Gary Craze
Hewlett Packard Enterprise
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Gary_Craze
Meet blogger Gary Craze, a 35-year veteran of the technology industry. Gary has held marketing and product management roles with enterprise technology companies helping them to understand the needs of customers and creating compelling value propositions that meet their business needs. Currently, Gary is the Senior Product Marketing Manager for HPEโs AI software products, helping to evangelize HPE's solutions that let companies accelerate their AI initiatives.