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Train

Deploy

Monitor

TrueFoundry takes care of the dirty details of production machine learning so you can focus on using ML to deliver value. Training jobs, inference services, LLMs, GPUs and more. On your own infra.

Build fast, secure and cost-efficient ML/LLM Apps

Experiment -> Deploy -> Monitor

Deploy Falcon 40B and Llama Models via TrueFoundry - Alternative to GPT Models

Deploy and fine-tune Llama-2 on your own Cloud

The ChatGPT moment of the open source world is here- Meta released its latest set of open-source large language models called Llama-2,  a collection of pre-trained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters.

Gateway for all your LLM
requirements

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Find the best LLM for your Use Case

Compare different LLMs using TrueFoundry’s Publicly Hosted Models with 30+ Famous Open-source model

Integrate with all famous providers

Integrate your api-key(s) from all famous providers like OpenAI, Cohere, Anthropic, Sagemaker, and AzureOpenAI

Monitoring out of the box

You can monitor Input Tokens, Output Tokens, Cost, Request Latencies, Error Rate right from the dashboard. These can be filtered on the basis of models, users and projects

Unified API with RBAC

Common API to access models from all providers like OpenAI, Sagemaker, HuggingfaceHub or any Hosted Model
Start using Now
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LLM Playground to try out different LLMs

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Tryout open-source LLMs

You can test out text completion, chat models and embedding models. No need to setup GPU to try them out!

Find the best LLM for your usecase

Compare different LLMs using TrueFoundry’s hosted models with 30+ top open-source models.

Compare latency and cost among models

Check the latency difference and cost per model per query
Start using Now
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Get reports to review resource utilisation across deployments
Choose from a list of resource configurations to deploy and finetune LLMs
Connect your cluster on TrueFoundry to keep data on your own cloud

LLM Gateway to monitor, cache, secure your LLM requests

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Unified API to call OpenAI, Cohere, your own hosted open source models

Integrate your api-key(s) from all famous providers like OpenAI, Cohere, Anthropic, Sagemaker, AzureOpenAI and access them via the same API

Monitoring out of the box

You can monitor Input/Output Tokens, Cost, Request Latencies, Error-rate right from your dashboard for all models, users and projects

Configure retries, fallback, guardrails and caching

To ensure high reliability, configure retries and fallbacks LLM models. Also layout guardrails centrally at the gateway to moderate LLM responses
Start using Now
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Deploy LLMs at one click using TrueFoundry
Deploy HuggingFace or any open source model on TrueFoundry
TrueFoundry auto-generates OpenAPI endpoints when you deploy models

Deploy LLMs faster on your own cloud

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Deploy LLMs in one click

Optimal settings for deployment and model loading behind the hood with one click deployment

Pre-configured deployment options

Choose from a list of pre-configured GPU options on the basis of latency and cost

Access auto-generated API end-points

Deploy behind a model server or as a Fast API endpoint. Test OpenAPI specs and integrate API endpoints directly into your product
Check our Model Catalogue
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Deploy LLMs at one click using TrueFoundry
Deploy HuggingFace or any open source model on TrueFoundry
TrueFoundry auto-generates OpenAPI endpoints when you deploy models

Finetune LLMs on your own data

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Connect your own data source

Point to your own data path on S3, Databricks, Azure Blob storage and we handle the rest - Infra, node failures, workflows

Compare across finetuning jobs

Python APIs to expose parameters for tuning across multiple fine-tuning jobs and checkpoints for avoiding failure issues

Deploy finetuned model

Select model version that is optimal for your use case and deploy the finetuned model in one-click
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Use LLMs with your own data on your own cloud
Compare finetune jobs to select optimal model version
TrueFoundry allows hyperparameter tuning across multiple jobs

QnA using RAG system on your infra

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Setup RAG based QnA system in 1-click

Deploy our open-source application designed to offer end-to-end interface for RAG with ability to integrate with any metadata store, vector db, embeddings, or LLM models

Import your own data

Create collections with your choice of embedding models, chunk size, and index data from any source be it files, URLs, or your custom data loader

Get answers to your questions

Ask questions over your data to the integrated model. You can also change different model parameters to get desired results
Start using Now
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Connect your cluster on TrueFoundry to keep data on your own cloud
Choose from a list of resource configurations to deploy and finetune LLMs
Get reports to review resource utilisation across deployments

Resources

Benchmarking Popular LLMs: Llama2, Falcon, and Mistral

Benchmarking Popular LLMs: Llama2, Falcon, and Mistral

In this blog, we will show the summary of various open-source LLMs that we have benchmarked. We benchmarked these models from a latency, cost, and requests per second perspective. This will help you evaluate if it can be a good choice based on the business requirements.

Deploying LLMS at Scale

Deploying LLMS at Scale

Deploying open-source Large Language Models (LLMs) at scale while ensuring reliability, low latency, and cost-effectiveness can be a challenging endeavor. Drawing from our extensive experience in constructing LLM infrastructure and successfully deploying it for our clients, I have compiled a list of the primary challenges commonly encountered by individuals in this process.

Efficiently Serving LoRA fine-tuned models

Efficiently Serving LoRA fine-tuned models

This blog assumes an understanding of fine-tuning & gives a very brief overview of LoRA. The focus here will be serving LoRA fine-tuned models, especially, if you have many of them.

LLM-powered QA Chatbot on your data in your Cloud

LLM-powered QA Chatbot on your data in your Cloud

In this article, we will talk about how to productionize a question-answering bot on your docs. We will also be deploying it in your cloud environment and also enable the usage of open-source LLMs instead of OpenAI if data privacy and security is one of the core requirements.

Deploy Falcon 40B on any Cloud using TrueFoundry at 40% cheaper cost

Deploy Falcon 40B on any Cloud using TrueFoundry at 40% cheaper cost

In this article, we discuss about deploying Falcon model on your own cloud. The Technology Innovation Institute in Abu Dhabi has developed Falcon, an innovative series of language models. These models, released under the Apache 2.0 license, represent a significant advancement in the field. Notably, Falcon-40B stands out as a truly open model, surpassing numerous closed-source models in its capabilities. This development brings tremendous opportunities for professionals, enthusiasts, and the industry as it paves the way for various exciting applications.

Testimonials TrueFoundry makes your ML team 10x faster

Deepanshi S
Lead Data Scientist
TrueFoundry simplifies complex ML model deployment with a user-friendly UI, freeing data scientists from infrastructure concerns. It enhances efficiency, optimizes costs, and effortlessly resolves DevOps challenges, proving invaluable to us.
Matthieu Perrinel
Head of ML
The computing costs savings we achieved as a result of adopting TrueFoundry, were greater than the cost of the service (and that's without counting the time and headaches it saves us).
Soma Dhavala
Director Of Machine Learning
TrueFoundry helped us save 40-50% of the cloud costs. Most companies give you a tool and leave you but TrueFoundry has given us excellent support whenever we needed them.
Rajesh Chaganti
CTO
Using the TrueFoundry platform we were able to reduce our cloud costs significantly. We were able to seamlessly transit for AMI based system to a docker-Kubernetes based architecture within a few weeks.
Sumit Rao
AVP of Data Science
TrueFoundry has been pivotal in our Machine Learning use cases. They have helped our team realize value faster from Machine Learning.
Vivek Suyambu
Senior Software Engineer
TrueFoundry makes open-source LLM deployment and fine-tuning effortless. Its intuitive platform, enriched with a feature-packed dashboard for model management, is complemented by a support team that goes the extra mile.
9.9
Quality of Support
G 2

A LLMOps stack that just works on your environment

TrueFoundry LLMOps Solution