With HPE Machine Learning Development Environment Software, you can easily:

• – Train models faster
• – Build better models
• – Manage and share your AI infrastructure
• – Track and reproduce your work
• – Integrate into your enterprise
• – Bring your own cloud
• – Evaluate and customize large language models (LLMs)

What’s New

• – Generative AI studio is a standard feature now available with HPE Machine Learning Development Environment. Generative AI studio is the easiest, and most secure way to build and scale generative AI applications on‑premises using foundational models.
• – Run ML and HPC jobs alongside each other on the same cluster, with support for workload managers like Slurm® or PBS®, and secure container runtimes like Singularity/Apptainer, Podman, or NVIDIA® Enroot.
• – Use Role-Based Access Controls (RBAC) to authorize development and MLOps teams to securely collaborate and share ML resources and artifacts.
• – Train models on NVIDIA or AMD® GPUs without any code changes, with foundational support for accelerator heterogeneity.
• – Use DeepSpeed® for 3D-Parallel (Data-, Model-, and Pipeline-parallel) distributed training, to speed up training of large models like GPT-NeoX.
• – Use PyTorch® Distributed Data Parallel (DDP) for flexibility and choice of distributed training strategies.
• – Version, annotate, and organize trained models in the Model Registry so that MLOps teams can effectively collaborate with model developers to manage your models' lifecycle.
• – Define your own logic to coordinate across multiple trials within an experiment.
• – Implement your own custom hyperparameter search algorithms, ensembling, active learning, neural architecture search, and reinforcement learning.
• – New SKUs

  • R9H29AAE - HPE ML Dev Env SW 3yr Sub E-RTU
  • R9Y51AAE - HPE ML Dev Env SW 4yr Sub E-RTU
  • R9Y52AAE - HPE ML Dev Env SW 5yr Sub E-RTU
  • S2E65AAE - HPE ML Dev Env SW 1-8GPU 1yr Mngd E-RTU
  • S2E66AAE - HPE ML Dev Env SW 8+ GPU 1yr Mngd E-RTU

Train Models Faster

Train models faster, and at scale, without changing your model code, or writing cumbersome boilerplate to manage your ML infrastructure.

We take care of ML infrastructure provisioning, networking, data loading, checkpointing, fault-tolerance and high-availability - i.e., we make distributed model training easy, fast, and cost-efficient.

HPE Machine Learning Development Environment Software ships cutting-edge distributed training strategies and techniques:

• – DeepSpeed: for 3D-Parallel (Data-, Model-, and Pipeline-parallel) distributed training, to speed up training of large models like GPT-NeoX, and beyond!
• – Horovod: for easy-to-use data-parallel distributed training.
• – PyTorch Distributed Data Parallel (DDP): for flexibility and choice of distributed training strategies.

Build Better Models

Find better model configurations efficiently with a production-grade implementation from the creators of the cutting-edge Asynchronous Successive Halving (ASHA) Hyperband for hyperparameter tuning.

Define your own logic to coordinate across multiple trials within an experiment.

Implement your own custom hyperparameter search algorithms, ensembling, active learning, neural architecture search, and reinforcement learning methods.

Efficiently Manage and Share Your AI Infrastructure

Efficiently manage and share your on‑premises or cloud GPUs and accelerators with Machine Learning workflow-aware smart scheduling and resource management to improve productivity and collaboration for your ML development and operations teams.

Consistent User Experience for deployments ranging from laptop to a supercomputer scale, and everything in-between:

• – Baremetal
• – Virtual Machine (incl. cloud-native and on‑premises Infrastructure-as-a-Service solutions)
• – Kubernetes®
• – Slurm
• – PBS

Run ML and HPC jobs alongside each other on the same cluster, with support for workload managers like Slurm or PBS, and secure container runtimes like Singularity/Apptainer, Podman, or NVIDIA®Enroot.

Seamlessly use spot or preemptible instances to manage cloud costs.

Train models on NVIDIA or AMD® GPUs without any code changes, with foundational support for accelerator heterogeneity.

HPE Services

No matter where you are in your digital transformation journey, you can count on HPE Services to deliver the expertise you need when, where and how you need it. From planning to deployment, ongoing operations and beyond, our experts can help you realize your digital ambitions.

https://www.HPE.com/services

Consulting Services

No matter where you are in your journey to hybrid cloud, experts can help you map out your next steps. From determining what workloads should live where, to handling governance and compliance, to managing costs, our experts can help you optimize your operations.

https://www.HPE.com/services/consulting

HPE Managed Services

HPE runs your IT operations, providing services that monitor, operate, and optimize your infrastructure and applications, delivered consistently and globally to give you unified control and let you focus on innovation.

HPE Managed Services | HPE

Operational services

Optimize your entire IT environment and drive innovation. Manage day-to-day IT operational tasks while freeing up valuable time and resources. Meet service-level targets and business objectives with features designed to drive better business outcomes.

https://www.HPE.com/services/operational

HPE Complete Care Service

HPE Complete Care Service is a modular, edge-to-cloud IT environment service designed to help optimize your entire IT environment and achieve agreed upon IT outcomes and business goals through a personalized experience. All delivered by an assigned team of HPE Services experts. HPE Complete Care Service provides:

• – A complete coverage approach -- edge to cloud
• – An assigned HPE team
• – Modular and fully personalized engagement
• – Enhanced Incident Management experience with priority access
• – Digitally enabled and AI driven customer experience

https://www.HPE.com/services/completecare

HPE Tech Care Service

HPE Tech Care Service is the operational support service experience for HPE products. The service goes beyond traditional support by providing access to product specific experts, an AI driven digital experience, and general technical guidance to not only reduce risk but constantly search for ways to do things better. HPE Tech Care Service delivers a customer-centric, AI driven, and digitally enabled customer experience to move your business forward. HPE Tech Care Service is available in three response levels. Basic, which provides 9x5 business hour availability and a 2-hour response time. Essential which provides a 15-minute response time 24x7 for most enterprise level customers, and Critical which includes a 6-hour repair commitment where available and outage management response for severity 1 incidents.

https://www.HPE.com/services/techcare

HPE Machine Learning Development Environment Software Products

HPE Machine Learning Development Environment Software is licensed on a per-GPU basis for the duration of the stated subscription term.