*RRP - Reseller Recommend Price. Prices may vary based on local reseller.Prices provided in quotes by local resellers may vary.Show MoreShow Less
x
Finance your purchase through HPEFS
Click on 'Get Quote' to receive a quotation that includes financing provided by HPEFS.
OR, call HPEFS at 1800 88 1255
Financing and service offerings available through Hewlett-Packard Financial Services Company and its subsidiaries and affiliates (collectively HPFSC) in certain countries and is subject to credit approval and execution of standard HPFSC documentation. Rates and terms are based on customer's credit rating, offering types, services and/or equipment type and options. Not all customers may qualify. Not all services or offers are available in all countries. Other restrictions may apply. HPFSC reserves the right to change or cancel this program at any time without notice.
Loading...
https://connect.hpe.com/e/f2?nocache
en
Our system could not confirm your address to be valid and cannot find a recommended alternative. It is strongly recommended that you edit the address and try again. You may also continue with the address as you entered it if you are sure it is correct.
Provided User Id doesn't have access to this country, Please try sign in to authorized country partner portal.
Partner doesn’t have any country associated. Please contact System administrator.
Your Email/Password combination is incorrect. Please try again.
We've identified you as an Partner Store customer accessing HPE Storefront. Please 'click here' to log in to the Partner Store.
We've identified you as an HPE storefront customer accessing the Partner Store. Please 'click here' to log in to the HPE storefront.
Login Error
The requested account is an existing enterprise account. Please click here to login to enterprise store.
Sign-in Error
The associated account is connected to an employee profile. Please either register or use an alternative account to log in to the storefront.
Thank you for filling out your profile information. To complete your registration, please check your inbox for an email from Hewlett Packard Enterprise (HPE) and follow the validation steps.
Are your model development and MLOps teams spending more time setting up and managing ML infrastructure, rather than building and deploying models to production?
HPE Machine Learning Development Environment as a managed service is a fully managed MLOps platform that allows model developers and researchers to focus on building better models faster by reducing complexity and removing the need to write boilerplate code associated with managing ML infrastructure. It easily integrates with ML frameworks and tools, and supports customers bringing their own AWS or GCP cloud environments.
Our platform also makes it easy for IT and MLOps teams to setup and share AI infrastructure to improve collaboration and productivity for ML teams, while reducing costs.
Train models faster, build more accurate models, efficiently manage and share AI infrastructure, and track and reproduce experiments easily with HPE Machine Learning Development Environment as a managed service.
SKU #
R8W27AAE
Sold by:
HPE
Get Started
Financing available through HPEFS
Offered by HPE Reseller
Pricing displayed for the products does not include applicable taxes and shipping.
Maximize your HPE Machine Learning Development Environment Software
Train Models Faster with Cutting-Edge Distributed Training Strategies and Techniques
HPE Machine Learning Development Environment Software integrates with DeepSpeed for 3D-Parallel (data-, model-, and pipeline-parallel) distributed training, to speed up training of large models like GPT-NeoX.
Enable Horovod for easy-to-use data-parallel distributed training.
Provide PyTorch Distributed Data Parallel (DDP) for flexibility and choice of distributed training strategies.
Find Better Model Configurations Efficiently with Cutting-Edge Hyperparameter Tuning Techniques
HPE Machine Learning Development Environment Software features production-grade implementation from the creators of the Asynchronous Successive Halving (ASHA) Hyperband algorithm for HPE search and optimization.
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.
Easily Share GPUs and Accelerators with ML Workflow-Aware Smart Scheduling and Resource Management
With HPE Machine Learning Development Environment Software, you can easily share your on-premises or cloud GPUs and accelerators with your ML development and operations teams.
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.
Consistent user experience for deployments on your laptop to a supercomputer, and everything in-between including: baremetal, virtual machine (including cloud and on-premises IaaS solutions), Kubernetes, Slurm, and PBS.
Track and Reproduce your Work with Integrated Experiment Tracking and the Model Registry
HPE Machine Learning Development Environment Software provides built-in experiment tracking that covers model code, configuration, hyperparameters, metrics, and checkpoints.
Version, annotate, and organize trained models so that MLOps teams can effectively collaborate with model developers to manage your models' lifecycle.
{"baseProduct":{"productID":"R8W27AAE","productName":"HPE ML Dev Env SW 100+ GPU 1yr Sub E\u2011RTU"},"navigationList":["Software","Cray Software","Cray Software","HPE Machine Learning Development Environment Software","HPE ML Dev Env SW 100+ GPU 1yr Sub E\u2011RTU"],"cartDetail":{},"productInfo":[{"productInfo":{"quantity":"1","productID":"R8W27AAE","productName":"HPE ML Dev Env SW 100+ GPU 1yr Sub E\u2011RTU"}}]}
AMD is a trademark of Advanced Micro Devices, Inc. GCP is a registered trademark of Google LLC. Linux is the registered trademark of Linus Torvalds in the U.S. and other countries. NVIDIA is a trademark and/or registered trademark of NVIDIA Corporation in the U.S. and other countries. Red Hat is a registered trademark of Red Hat, Inc. in the United States and other countries. All third-party marks are property of their respective owners.