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About

Microsoft Frontier Tuning lets organizations customize one or more of Microsoft’s top MAI models around their unique business needs, trained safely within their own secure environment instead of relying on a generic AI model. The process starts by defining the task and what success looks like, then feeding in data, workflows, and expertise from Microsoft 365 and beyond. Performance is improved through training and iterative optimization, then deployed in Microsoft Foundry or Copilot, where the model can continue improving from real usage. Microsoft Frontier Tuning is designed to create models that know the organization’s work, terms, context, processes, and expertise while keeping data private and secure inside the customer’s environment. It gives teams more control over the model, avoids vendor lock-in, and helps them squeeze more value from every dollar spent by delivering frontier performance with superior token efficiency.

About

Fine-tune and deploy AI models with Simplismart's fastest inference engine. Integrate with AWS/Azure/GCP and many more cloud providers for simple, scalable, cost-effective deployment. Import open source models from popular online repositories or deploy your own custom model. Leverage your own cloud resources or let Simplismart host your model. With Simplismart, you can go far beyond AI model deployment. You can train, deploy, and observe any ML model and realize increased inference speeds at lower costs. Import any dataset and fine-tune open-source or custom models rapidly. Run multiple training experiments in parallel efficiently to speed up your workflow. Deploy any model on our endpoints or your own VPC/premise and see greater performance at lower costs. Streamlined and intuitive deployment is now a reality. Monitor GPU utilization and all your node clusters in one dashboard. Detect any resource constraints and model inefficiencies on the go.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Enterprises that need secure, business-specific AI model customization using their own workflows, data, and Microsoft 365 context for deployment in Foundry or Copilot

Audience

Developers looking for a tool to train, deploy, and observe their ML models

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Microsoft AI
Founded: 2024
United States
microsoft.ai/models/microsoft-frontier-tuning/

Company Information

Simplismart
Founded: 2022
United States
www.simplismart.ai/

Alternatives

Alternatives

Mistral Forge

Mistral Forge

Mistral AI
Phi-4

Phi-4

Microsoft
Tune Studio

Tune Studio

NimbleBox

Categories

Categories

Integrations

Microsoft Azure
Amazon Web Services (AWS)
Codestral
Codestral Mamba
Google Cloud Platform
Hugging Face
Llama 3
Llama 3.1
Mathstral
Microsoft Copilot
Microsoft Foundry
Ministral 3B
Mistral 7B
Mistral Large
Mistral Small
Mixtral 8x7B
OpenAI Whisper
Pixtral Large
Stable Diffusion XL (SDXL)
TensorFlow

Integrations

Microsoft Azure
Amazon Web Services (AWS)
Codestral
Codestral Mamba
Google Cloud Platform
Hugging Face
Llama 3
Llama 3.1
Mathstral
Microsoft Copilot
Microsoft Foundry
Ministral 3B
Mistral 7B
Mistral Large
Mistral Small
Mixtral 8x7B
OpenAI Whisper
Pixtral Large
Stable Diffusion XL (SDXL)
TensorFlow
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