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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

Oumi is an entirely open-source platform that enhances the complete lifecycle of foundation models, encompassing everything from data preparation and training to evaluation and deployment. It facilitates the training and fine-tuning of models with parameter counts ranging from 10 million to an impressive 405 billion, utilizing cutting-edge methodologies such as SFT, LoRA, QLoRA, and DPO. Supporting both text-based and multimodal models, Oumi is compatible with various architectures like Llama, DeepSeek, Qwen, and Phi. The platform also includes tools for data synthesis and curation, allowing users to efficiently create and manage their training datasets. For deployment, Oumi seamlessly integrates with well-known inference engines such as vLLM and SGLang, which optimizes model serving. Additionally, it features thorough evaluation tools across standard benchmarks to accurately measure model performance. Oumi's design prioritizes flexibility, enabling it to operate in diverse environments ranging from personal laptops to powerful cloud solutions like AWS, Azure, GCP, and Lambda, making it a versatile choice for developers. This adaptability ensures that users can leverage the platform regardless of their operational context, enhancing its appeal across different use cases.

Description

Enhance and launch AI models using Simplismart's ultra-fast inference engine. Seamlessly connect with major cloud platforms like AWS, Azure, GCP, and others for straightforward, scalable, and budget-friendly deployment options. Easily import open-source models from widely-used online repositories or utilize your personalized custom model. You can opt to utilize your own cloud resources or allow Simplismart to manage your model hosting. With Simplismart, you can go beyond just deploying AI models; you have the capability to train, deploy, and monitor any machine learning model, achieving improved inference speeds while minimizing costs. Import any dataset for quick fine-tuning of both open-source and custom models. Efficiently conduct multiple training experiments in parallel to enhance your workflow, and deploy any model on our endpoints or within your own VPC or on-premises to experience superior performance at reduced costs. The process of streamlined and user-friendly deployment is now achievable. You can also track GPU usage and monitor all your node clusters from a single dashboard, enabling you to identify any resource limitations or model inefficiencies promptly. This comprehensive approach to AI model management ensures that you can maximize your operational efficiency and effectiveness.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS) Yes 
Google Cloud Platform Yes 
Microsoft Azure Yes 
Codestral No 
Codestral Mamba No 
Flexprice No 
Kubernetes No 
Llama Yes 
Mathstral No 
Ministral 3B No 
Ministral 8B No 
Mistral AI No 
Mistral Large No 
Mistral Small No 
Mixtral 8x7B No 
Phi-2 Yes 
PyTorch No 
Qwen Yes 
Stable Diffusion XL (SDXL) No 

Integrations

Amazon Web Services (AWS) Yes 
Google Cloud Platform Yes 
Microsoft Azure Yes 
Codestral Yes 
Codestral Mamba Yes 
Flexprice Yes 
Kubernetes Yes 
Llama No 
Mathstral Yes 
Ministral 3B Yes 
Ministral 8B Yes 
Mistral AI Yes 
Mistral Large Yes 
Mistral Small Yes 
Mixtral 8x7B Yes 
Phi-2 No 
PyTorch Yes 
Qwen No 
Stable Diffusion XL (SDXL) Yes 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Oumi

Founded

2024

Country

United States

Website

oumi.ai/

Vendor Details

Company Name

Simplismart

Founded

2022

Country

United States

Website

www.simplismart.ai/

Product Features

Product Features

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization No 

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