Determined AI
Building and training optimized models at scale is considered the most demanding and critical stage of machine learning (ML) development. Determined AI accelerates time-to-production with an open-source platform to build and train models faster and easier.
Determined AI helps researchers and scientists focus on innovation and accelerate their time-to-delivery by removing the complexity and cost associated with machine learning development. This includes making it easy to set-up, configure, manage and share workstations or AI clusters that run on-premise or in the cloud.
Determined enables you to:
Train models faster using state-of-the-art distributed training without changing your model code.
Automatically find high-quality models with advanced hyperparameter tuning from the creators of Hyperband.
Get more from your GPUs with smart scheduling and cut cloud GPU costs by seamlessly using spot instances.
Track and reproduce your work with experiment tracking that works out-of-the-box, covering code versions, metrics, checkpoints, and hyperparameters.
Determined integrates these features into an easy-to-use, high-performance machine learning environment — which means you can spend your time building models instead of managing infrastructure.
Since the open-source project launched in 2020, and as a result of its focus on model training, Determined AI has quickly emerged as a leading training tool in the evolving machine learning software ecosystem. Its solution has been adopted by users across a wide range of industries, such as biopharmaceuticals, autonomous vehicles, defense contracting, and manufacturing.
Call-to-action: Get Started With Determined
By investing in Determined AI’s open-source project, HPE is furthering its mission in making AI heterogeneous and empowering ML engineers to build AI models at a greater scale. HPE Machine Learning Development Environment builds upon Determined's world-class capabilities to support training at enterprise-scale. In addition to premium support, it includes additional features such as advanced security and tools for monitoring and observability.
Call-to-action: Get Started With HPE Machine Learning Development Environment
Projects
Determined
Determined is an open-source deep learning training platform that makes building models fast and easy.
Workshops-on-Demand
Take advantage of our free, Jupyter-Notebook based workshops available in the HPE Developer Hack Shack. These technical workshops provide you with an in-depth, hands-on learning experience where you can interact with and learn from the experts. Designed to fit your schedule, these workshops are available 24/7 – any time, from anywhere. Getting started with Determined AI workshop is available today.
Any questions on Determined AI or about the Determined open-source project?
Join the Determined AI Slack Workspace and start a discussion.
Related Blogs
![](/img/garrett_goon.jpg)
Activation Memory: A Deep Dive using PyTorch
Jun 12, 2024![](/img/garrett_goon.jpg)
Activation Memory: What is it?
May 15, 2024![](/img/kevinmusgrave-profilepic-small.jpg)
AI News #21
Apr 29, 2024![](/img/agnieszka_ciborowska.jpeg)
From a pre-trained model to an AI assistant: Finetuning Gemma-2B using DPO
Apr 24, 2024![](/img/kevinmusgrave-profilepic-small.jpg)
AI News #19
Apr 15, 2024![](/img/kevinmusgrave-profilepic-small.jpg)
AI News #18
Apr 11, 2024![](/img/kevinmusgrave-profilepic-small.jpg)
AI News #16
Mar 26, 2024![](/img/screenshot-2024-03-13-154550.png)
Announcing GenAI studio: Your generative AI playground built on Determined
Mar 13, 2024![](/img/kevinmusgrave-profilepic-small.jpg)
AI News #14
Mar 11, 2024![](/img/kevinmusgrave-profilepic-small.jpg)
Finetuning Mistral-7B with LoRA and DeepSpeed
Feb 28, 2024![](/img/kevinmusgrave-profilepic-small.jpg)
The Latest AI Models, Datasets, and Research
Feb 27, 2024![](/img/kevinmusgrave-profilepic-small.jpg)
MESA and Co-Designing Model Architectures with Hardware
Feb 5, 2024![](/img/kevinmusgrave-profilepic-small.jpg)
Finetuning an LLM using HuggingFace + Determined
Jan 31, 2024![](/img/kevinmusgrave-profilepic-small.jpg)
MambaByte, Multimodal Pathway, and CrossMAE
Jan 29, 2024![](/img/profilepic-small.jpg)
How Multimodal LLMs Work
Jan 17, 2024![](/img/profilepic-small.jpg)
Mobile ALOHA, AppAgent, Virtual Token Counter, and Time Vectors
Jan 9, 2024![](/img/isha.jpeg)
End-to-end, easy-to-use pipeline for training a model on Medical Image Data using HPE Machine Learning Development Environment
Jun 16, 2023![](/img/isha.jpeg)