meShare: GPU Cloud for AI Model Development
meShare helps software companies and IoT providers access virtualized GPU resources for AI training and deployment. It is designed for businesses that need shared or dedicated hosting to run custom AI models.
At a glance
- Category
- Software Development
- Best for
- Software companies, IoT platform providers, AI developers, Businesses requiring GPU cloud infrastructure
- Pricing
- Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
- Key use cases
- IoT Platform Enhancement, Custom AI Model Training, Software Development Support, AI Chatbot Deployment
- Official website
- meshare.com
meShare is a GPU Cloud provider designed to support the development of generative AI and AI-driven Internet of Things (IoT) infrastructure. The platform provides compute resources, including virtualized GPUs and dedicated servers, used to train and run AI models.
It is intended for software vendors, IoT platforms, and businesses in sectors such as manufacturing and proptech that require high-performance computing for AI processes. The service is hosted on a self-built data center infrastructure and claims a 99.99% uptime.
The platform supports open-source large language models (LLMs) and allows for the development of custom models using private data. Supporting infrastructure includes VPC networking and block storage to manage AI workloads.
Buyers should confirm how the resource scaling and pricing align with their specific model training needs.
Key Features
Provides compute power for AI model training and deployment.
Supports open-source LLMs and the development of custom models via private data training.
Offers shared or dedicated server and GPU hosting options.
Provides exclusive virtual private clouds for data transfer.
Includes object and block storage for managing data required for AI workloads.
Use Cases
Embedding AI algorithms into IoT platforms to support device functionality.
Using private data to develop and train proprietary AI models on GPU infrastructure.
Using AI-powered coding models to support software development cycles.
Deploying LLMs or custom chat models for e-commerce or property management automation.
Best For
Pricing
Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
FAQ
meShare provides virtualized GPU resources, shared or dedicated hosting, and support for open-source LLMs to help users train and deploy AI models.
The provider states it offers competitive pricing for small and medium enterprises, though technical expertise is required to operate the platform.
Yes, the platform supports the development of custom AI models through private data training.
Source category: Software Development
Source subcategory: AI Infrastructure
