TrueFoundry Reviews & Product Details

Prototyping/Testing deployments have become very quick with one click deployments, able to build and deploy through a particular branch and commit helps quick iterations. Ability to use SSH server with required service accounts and VsCode helps increase productivity. Support is helpful as well for any queries that occur. Able to look to live logs in the UI itself helps in quick debugging. We were able to deploy a hugging face model for a customer facing service fairly quickly using their ML model deployments. Review collected by and hosted on G2.com.

Some features such as RBAC control, safe guarding production deployments is needed. Approval based deployment rollout is also a good feature to have. Review collected by and hosted on G2.com.

While I don’t personally interact with the team on a regular basis, I have taken feedback from the development team and they have no complaints. They are appreciative of the fact that the TrueFoundry team has always been there supporting us with the platform onboarding, maintenance support and even unplanned requirements Review collected by and hosted on G2.com.

The team has been extremely responsive and I don't have any complaints yet. Review collected by and hosted on G2.com.

- Eases the pain of GenAI infrastructure setup

- Range of open-source models available to experiment for our application

- Good integration with HuggingFace suite

- LLM deployments become very easier with TrueFoundry

- Great integration with Github, VS Code, AWS, GCP, and other related tools

- Automatically selects the most suitable GPU required by our application to reduce the overall GPU billing cost

- Great support by their technical team. Mostly available to resolve any issue. They also give the product walkthrough whenever required/requested.

- Product's UI is also simple and user-friendly.

- Cloud deployments are also very good with auto-scale/down ability.

- Overall a must-have and go-to platform for efficient and scaled deployment. My team uses it on daily basis. Review collected by and hosted on G2.com.

- For my team, we require the GPU billing costs at the workspace and each project level. If that could be done, it adds more value to my team.

- Anything that you can support on the Dashboards creation for data pipelines? Review collected by and hosted on G2.com.

It has streamlined the deployment process. The steps that has personally helped me:

1. Ease of deployment from local/repo

2. Performance and fuctional testing of solution before prod deployment

3. Deployment metrics tracking and logging

4. Customisability in prod data storage which helps in maintenance and debug purpose

5. Tracking all the jobs and deployments in one place

Other than that their customer support is very prompt Review collected by and hosted on G2.com.

If there is one scope that could be user friendly development environment which would make it a one stop platform for development testing and deployment of solutions Review collected by and hosted on G2.com.

TrueFoundry made the provisioning and management of Gen AI infrastructure efficient as well as timesaving. Their platform provides the seamless deployment of complex models with user-friendly UI with consolidated view to integrate existing workflows. TrueFoundry ensures the minimal downtime and accelerates deployments.

TrueFoundry offers a cost effective solution with a pay as you go model with extraordinary support. Their support team is highly skilled and responsive. Review collected by and hosted on G2.com.

There is nothing to dislike about TrueFoundry as it addresses our use case, but there is room for improvement. More integrations for Kubernetes clusters for new cloud service providers will be the key area to improve. Review collected by and hosted on G2.com.

It makes easier for developers to deploy ML models or any other services quickly wothout worrying about infra components and without help of Devops team. It saves a lot of friction and time for taking a new service to production and integrates with all major cloud providers. Best part id the team is very prompt to response for any issues/questions. Review collected by and hosted on G2.com.

They are still developing the product and there are some bugs here and there and they are dependent a lot on open source tools which sometimes blocks them to resolve an issue. Review collected by and hosted on G2.com.

The LLM models are easy to deploy and team is superactive in resolving queries. It is easy to use and many things are documented clearly. The dashboard is well developed making it easier to use for new and old users. I liked there fine-tuning service for LLMs which makes it easy to finetune even though you might have just started with it. Review collected by and hosted on G2.com.

We could have more options for finetuning and options to deploy in between stage models automatically. Review collected by and hosted on G2.com.

I have recently used Truefoundry's product, and I am thoroughly impressed. Truefoundry has significantly streamlined our machine learning(including LLM) workflow, making it easier and more efficient to deploy, and monitor models. The automated deployment features should save us countless hours, enabling us to focus more on building and refining our models rather than getting bogged down by the complexities of deployment. Pre-packaged LLM makes it easy for us to evaluate the performance on our dataset. Review collected by and hosted on G2.com.

Iteration through datasets can be improved and also versioning associated datasets. Review collected by and hosted on G2.com.

It makes it extremely easy and fast to deploy new services/models to test environments and then promote them to production with just a few clicks. This is facilitated by a great UI that abstracts all the Kubernetes infrastructure, allowing us to reduce costs and move to different server providers seamlessly. Review collected by and hosted on G2.com.

Setting up the entire infrastructure and specific services can be challenging in some scenarios. However, TruFoundry's support has excelled in helping us get to where we needed to be every time, with no delays. Review collected by and hosted on G2.com.

We evaluated truefoundry as a potential alternative to AWS Sagemaker for hosting ML models. The platform is designed with both novice and experienced users in mind. The intuitive dashboard allows for seamless navigation, and the clear, concise instructions make it easy to get started quickly. From the initial onboarding to ongoing assistance, their support team has been incredibly responsive and knowledgeable. Whenever we encountered a challenge, their team was quick to provide solutions and guide us through any technical issues. The personalized support and regular check-ins have made us feel valued as customers and ensured that we are getting the most out of the platform. I highly recommend Truefoundry to any team or organization looking to streamline their ML workflows and achieve outstanding results. Review collected by and hosted on G2.com.

Truefoundry's pricing can be a bit steep, especially for smaller teams or startups. While the platform offers a lot of value, the cost might be prohibitive for organizations with limited budgets. A more flexible pricing model or additional tier options could make it more accessible. Although Truefoundry provides a range of tools and templates, there can be limitations when it comes to deep customization. Advanced users who use Kubernetes might find that they need more control over specific features or configurations, which can be restrictive for highly specialized use cases. Overall, while these are areas for improvement, they do not significantly detract from the overall positive experience with Truefoundry. Addressing these points would make an already excellent platform even better. Review collected by and hosted on G2.com.