INTEGRATED WITH ALL LEADING PROVIDERS

Multi-model support

Vertesia provides out-of-the-box connectivity for hundreds of generative AI models across all of the leading inference providers, and with our universal prompting, you can write one set of prompts which is instantly usable across any supported model
EXPLORE MODELS
OpenAI-600x240
Gemini-600x240
Amazon-Nova-600x240
Google-Gemma-600x240
Amazon-Titan-600x240
Claude-600x240
IBM-Granite-600x240
Cohere-600x240
Meta-600x240
AI21_Labs_600x240
Mistral-600x240
DeepSeek-600x240

We believe that multi-model support is foundational to your success with generative AI (GenAI)

WHY THIS MATTERS

In our experience, there is a right model for every generative AI (GenAI) task and activity

For optimal results with complex content, workflows, or agents, you might need to employ multiple models and sequence runs across different models and even different providers.

Why is multi-model so important?

cost-optimization
Cost optimization

For some tasks and activities, some models are just more expensive than others. So it is critical that you have a choice in which models you work with and that you can seamlessly switch between models.

balance
Load balancing & failover

Vertesia is the only company to offer virtualized environments that can balance workloads across different models and providers. We also support multi-model failover, enabling you to automatically switch models or providers in the event that your current model is unavailable or is returning erroneous results.

unlocked
Prevent vendor lock-in

We abstract the underlying GenAI model from your app, service, or agent. This approach not only ensures that you are working with the optimal model but also avoids vendor lock-in. making it painless to adopt new inference models as they become available.

How do you know which GenAI model will deliver the best results?

We provide our own GenAI-driven agent in Vertesia Studio to help you quickly determine the optimal model or models for your use case.
OpenAI-600x240
Gemini-600x240
Amazon-Nova-600x240
Google-Gemma-600x240
Amazon-Titan-600x240
Claude-600x240
IBM-Granite-600x240
Cohere-600x240
Meta-600x240
AI21_Labs_600x240
Mistral-600x240
DeepSeek-600x240
Also, our Services team is here to help guide you along the way
INFERENCE PROVIDERS

Currently supported inference providers and generative AI models

Inference providers host, and sometimes build their own, generative AI (GenAI) models, including large language models (LLMs) and small language models (SLMs), and are continuously adding new models to their libraries

Vertesia adds new models as soon as they become available, ensuring that our customers get instant access to the latest GenAI model advancements.

Amazon Bedrock

Amazon Bedrock provides their own foundation models (Nova & Titan) plus access to additional models from other providers. Our open-source connector provides access to all available foundation models within Amazon Bedrock.
Bedrock-600x240

NOTE:
Below is just a sample of available model providers within the Amazon Bedrock environment in Vertesia Studio. As new models are released, they are made available in Vertesia. If you have questions about our support for a particular model, please contact us.

Azure OpenAI

Azure OpenAI provides access to OpenAI's language models and embeddings model series. These models can be easily adapted to your specific task including but not limited to content generation, summarization, image understanding, semantic search, and natural language to code translation.
Azure-plus-OpenAI

Google Vertex AI

Google provides their own foundation models (Gemini, Gemma, Imagen, etc.) plus access to additional models from other providers. Our open-source connector to Google Vertex AI provides access to available foundation models within Google Vertex AI.
Vertex-600x240

NOTE:
Below is just a sample of available model providers within the Google Vertex AI environment in Vertesia Studio. As new models are released, they are made available in Vertesia. If you have questions about our support for a particular model, please contact us.

Groq

Groq is a fully integrated inference provider and execution environment in which language models run. Groq created the first Language Processing Unit™ (LPU™) Inference Engine. It is an end-to-end processing unit system that provides extremely fast inference for computationally intensive applications with a sequential component to them.
Groq-600x240

NOTE:
Below is just a sample of available model providers within the Groq environment in Vertesia Studio. As new models are released, they are made available in Vertesia. If you have questions about our support for a particular model, please contact us.

Hugging Face

We support Hugging Face inference endpoints. Developers can easily deploy transformers, diffusers or any model on dedicated, fully managed infrastructure.
HuggingFace-600x240

NOTE:
Below is just a sample of available model providers within the Hugging Face environment in Vertesia Studio. As new models are released, they are made available in Vertesia. If you have questions about our support for a particular model, please contact us.

IBM watsonx™

The IBM watsonx™ foundation models library is available in Vertesia and provides access to all available foundational models in the library, including Granite, IBM's flagship series of LLM foundation models based on decoder-only transformer architecture.
IBM_WatsonX-600x240

NOTE:
Below is just a sample of available model providers within the IBM watsonx™ foundation models library environment in Vertesia Studio. As new models are released, they are made available in Vertesia. If you have questions about our support for a particular model, please contact us.

OpenAI

OpenAI, provider of the popular chatbot, ChatGPT, provides a number of foundation models which can be accessed via our open-source connector to the OpenAI model library.
OpenAI-600x240

Mistral AI

Mistral AI is a fully integrated inference and GenAI model provider. Mistal AI provides fast, open-source and secure language models.
Mistral-600x240

Replicate

Replicate is a fully integrated inference provider and execution environment in which language models run. Replicate lets developers run machine learning (ML) models in the cloud. Users can run open-source models that other people have published, or package and publish their own models.
Replicate-600x240

NOTE:
Below is just a sample of available model providers within the Replicate environment in Vertesia Studio. As new models are released, they are made available in Vertesia. If you have questions about our support for a particular model, please contact us.

Together AI

Together AI is a fully integrated inference provider and execution environment in which language models run. Together AI allows developers to run open-source models like Meta's Llama on one of the fastest inference stacks available.
TogetherAI-600x240

NOTE:
Below is just a sample of available model providers within the Together AI environment in Vertesia Studio. As new models are released, they are made available in Vertesia. If you have questions about our support for a particular model, please contact us.

OPEN-SOURCE CONNECTORS

Easily connect to inference providers

In Vertesia, environments are where you connect to inference providers. Simply add your API key to connect to any of the major providers and access their GenAI foundation models using our open-source connectors.

 

LEARN MORE ABOUT ENVIRONMENTS
FAQ

Frequently Asked Questions

Does Vertesia host models?

No, we do not host generative AI models. We instead provide unified access to leading inference providers who host models and to model builders who host their own models, allowing our customers to leverage hundreds of models from different providers to easily select the right model for their particular use case.

Can I use a custom model?

Of course. Vertesia enables customers to connect to their own custom models. We also provide functionality to assist customers in fine-tuning custom models for optimal performance.

What is the difference between a model builder and an inference provider?

Model builders are companies that create and train AI models, including the underlying algorithms and data sets. Inference providers are companies that provide the infrastructure and access to run the AI models. Inference providers often create and train their own models, but inference providers may also operate models from other model providers.

Inference providers that only host models include:

  • Groq
  • Microsoft (Azure)
  • Replicate
  • Together AI

Inference providers that host & build models include:

  • OpenAI
  • Google
  • Amazon
  • IBM
  • Mistral AI

Model builders that do not host their models include:

  • Meta
  • DeepSeek
  • Anthropic
  • Cohere
GET STARTED

Are you intrigued? Let's schedule a demo!

Many organizations don’t understand the full potential of GenAI or how they can transform business processes. Once they see our platform in action, they often have an "aha!" moment, realizing how we can solve real-world challenges.

See how our platform accelerates IT and business outcomes with a live, personalized demo.

GET A DEMO