TrueFoundry
TrueFoundryReviews from AWS customer
0 AWS reviews
-
5 star0
-
4 star0
-
3 star0
-
2 star0
-
1 star0
External reviews
47 reviews
from
External reviews are not included in the AWS star rating for the product.
One stop solution for deploying and managing our machine learning operations
What do you like best about the product?
Truefoundry made it very easy for us to prototype as well as be up and running with any experiment or production service. With their training jobs we are easily able to run and manage training jobs for our various training requirements.
What do you dislike about the product?
While not really an issue, the inteface could be made easier and more intuitive to use.
What problems is the product solving and how is that benefiting you?
Truefoundry makes it very easy for us to manage our ML services and bootstrap any new service as well.
The best platform to deploy anything!
What do you like best about the product?
Ease of deployment and management of services. Monitoring functionality to track down logs. Support given by members of Truefoundry whenever necessary.
What do you dislike about the product?
Can be a bit cheaper, atleast for early age startups.
What problems is the product solving and how is that benefiting you?
It makes the process of initial setup and deployment easy. It provides multiple ways, deployment using source code management tools (github, bitbucket) or with image artifacts.
ML Experiments and Deployments made easy
What do you like best about the product?
1. Prompt response to any query or feedback
2. Excellent team that churns out feature updates in minimum TAT.
3. Follow-ups on new features and updates and readiness to fix breakpoints in minimal time.
4. User-friendly dashboard, which is intuitive and complimented by the comprehensive documentation.
5. The SSH feature TF developed is one-of-its-kind, makes development easy and cost-effective, and reduces the friction to transition from any cloud server to the TF wrapper.
2. Excellent team that churns out feature updates in minimum TAT.
3. Follow-ups on new features and updates and readiness to fix breakpoints in minimal time.
4. User-friendly dashboard, which is intuitive and complimented by the comprehensive documentation.
5. The SSH feature TF developed is one-of-its-kind, makes development easy and cost-effective, and reduces the friction to transition from any cloud server to the TF wrapper.
What do you dislike about the product?
Nothing I can think of. It fulfills all our use cases.
What problems is the product solving and how is that benefiting you?
1. Easy and scalable deployment
2. Fast ML experimentation with on-demand and spot-instances
2. Configurable SSH service with an intuitive and clutter-free dashboard.
2. Fast ML experimentation with on-demand and spot-instances
2. Configurable SSH service with an intuitive and clutter-free dashboard.
Helps with automating almost all our ML workflows
What do you like best about the product?
The dashboard is very easy to use and setup takes very less time to get it running.
The team is very helpful in explaining the system and getting started.
The documtation is very clear and helps understanding truefoundry easily.
The team is very helpful in explaining the system and getting started.
The documtation is very clear and helps understanding truefoundry easily.
What do you dislike about the product?
Nothing really. It is what it promises to be.
What problems is the product solving and how is that benefiting you?
We deployed open sources LLMs, vector databases, setup RAGs using truefoundry and it was very smooth.
If we were to do the same and manage all the architecture in house it would have taken significant time out of our dev and devops teams.
Truefoundry also suggests the cost effective configurations for our usecase in terms of choosing the instances/resources and also the kind of models to use.
If we were to do the same and manage all the architecture in house it would have taken significant time out of our dev and devops teams.
Truefoundry also suggests the cost effective configurations for our usecase in terms of choosing the instances/resources and also the kind of models to use.
MLOps made easy.
What do you like best about the product?
1. Deployments are now breeze, From Data Scientist perspective its switch and play. Very low involvement of Devops Team in whole process.
2. Platform provides an easy to Use UI. Very easy to deploy services with security inbuilt.
3. Cloud Agnoistic in nature.
4. Reduced deployment/maintanence time by 80%.
5. Provides a whole suite of application integration alongwith LLM deployments, Building RAG Applications.
2. Platform provides an easy to Use UI. Very easy to deploy services with security inbuilt.
3. Cloud Agnoistic in nature.
4. Reduced deployment/maintanence time by 80%.
5. Provides a whole suite of application integration alongwith LLM deployments, Building RAG Applications.
What do you dislike about the product?
None that i can think of now. With the use cases which has been handled currently i did not find any issues.
What problems is the product solving and how is that benefiting you?
Truefoundy helped me into productionizing the code in fast paced manner.
From Complexity to Simplicity: TrueFoundry's Platform redefines Model Deployment
What do you like best about the product?
TrueFoundry provides a very intuitive and user friendly UI, making model deployment a breeze. The platform covers everything from server setups to model rollout strategies. It has helped us solve current deployment challenges and help establish a solid process for managing different model versions. The team stands out for their patience and clear explanations, making the overall experience positive. In a nutshell, TrueFoundry is a great tool for hassle-free and effective model deployment.
What do you dislike about the product?
While TrueFoundry is a new product, some suggested improvements were made regarding logging and metrics being monitored. But, the team promptly addressed these concerns, demonstrating responsiveness and providing timely support.
What problems is the product solving and how is that benefiting you?
TrueFoundry has greatly assisted our team in deploying complex ML models with ease. Its user-friendly UI simplifies the deployment process, freeing data scientists from concerns about infrastructure related issues like Kubernetes setup, autoscaling during peak times, and service monitoring. This streamlining of the deployment process has not only enhanced efficiency but also aided in cost management by optimizing instance usage. TrueFoundry's versatility proves invaluable, effortlessly resolving various DevOps challenges for our team.
Kubernetes made easy
What do you like best about the product?
I was looking for ways to deploy our docker images to serve AI models. I first tried deploying manually on a VM, and through Azure Container Instances. But I always found it hard to manage the continuous deployment of our different services for our different environments (dev/staging/prod). And we always provisioned more resources than were necessary, because of the difficulty to auto-scale, and re-start the instances deployed on spot instances (for dev & staging).
TrueFoundry solved all our deployment-related issues. It was very easy to get our first application deployed, thanks to their good default settings and clear GUI. And, as you get more familiar with it, you start clicking the "show advanced fields" or configure by directly editing YAML files. So, it's easy for onboarding, while allowing power users to use advanced features.
At first, our CEO was not enthusiastic about paying for yet another service. But it was easy to convince him, when we showed him 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). Sure, we might have achieved the same computing cost savings by managing the kubernetes clusters ourselves, but the engineering costs would have been much much higher.
But what I like the best about TrueFoundry is their active customer support. Not only have they answered all our questions precisely and rapidly, they updated the product based on our feedback (e.g. making it easier to deploy frequently used applications such as LabelStudio), and they double checked our Kubernetes configuration and suggested improvements.
TrueFoundry solved all our deployment-related issues. It was very easy to get our first application deployed, thanks to their good default settings and clear GUI. And, as you get more familiar with it, you start clicking the "show advanced fields" or configure by directly editing YAML files. So, it's easy for onboarding, while allowing power users to use advanced features.
At first, our CEO was not enthusiastic about paying for yet another service. But it was easy to convince him, when we showed him 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). Sure, we might have achieved the same computing cost savings by managing the kubernetes clusters ourselves, but the engineering costs would have been much much higher.
But what I like the best about TrueFoundry is their active customer support. Not only have they answered all our questions precisely and rapidly, they updated the product based on our feedback (e.g. making it easier to deploy frequently used applications such as LabelStudio), and they double checked our Kubernetes configuration and suggested improvements.
What do you dislike about the product?
They are still new, so some parts of the user interface could be improved. But it is already quite good, and I have seen improvements over the last few months.
What problems is the product solving and how is that benefiting you?
It allows our ML engineer (which are rarely knowledgeable about those kinds of things) to deploy and monitor their applications themselves. This avoids the anti-pattern of ML teams throwing their models to a separate Ops team. But it still allows fine-grain control, when an Ops specialist needs to jump in.
It made it easy for us to implement Continuous Delivery (we auto-deploy to our dev environment every time a push on origin/main changes a transitive dependency of a service).
It allowed us to reduce our computing costs in several way:
- It made it easier to use spot instances for our dev and staging environment, reducing the costs of those environments by 80%.
- It made it easy to turn off our most expensive services during nights and weekend (we only need them during office hours).
- It reduced resource waste, by making it easier to run multiple small services on the same machine in an isolated way.
It still feels we are under-using True Foundry, since we are mostly deploying "services" and haven't deployed jobs or notebooks yet.
It made it easy for us to implement Continuous Delivery (we auto-deploy to our dev environment every time a push on origin/main changes a transitive dependency of a service).
It allowed us to reduce our computing costs in several way:
- It made it easier to use spot instances for our dev and staging environment, reducing the costs of those environments by 80%.
- It made it easy to turn off our most expensive services during nights and weekend (we only need them during office hours).
- It reduced resource waste, by making it easier to run multiple small services on the same machine in an isolated way.
It still feels we are under-using True Foundry, since we are mostly deploying "services" and haven't deployed jobs or notebooks yet.
A promising exotic wrapper around cloud providers
What do you like best about the product?
Its inherently built around, reliability, cost saving, but also gives freedom in easily use or custome services as required, be it for deployment or for development. UI is very intuitive, customer support is top notch. Supports large number of integrations from code to direct docker images.
What do you dislike about the product?
TrueFoundry though fast pacing, still lacks some basic features that might be holding it back to deploy in scale.
What problems is the product solving and how is that benefiting you?
Deploying multiple services, the instance selection or pooling, exposing the ports and no downtime was immensely helpful
Great platform to deploy ML system easy at scale
What do you like best about the product?
- Expertise support
- User intuitive platform
- Best for Service/Model deployment
- Featuristic dashboard for model management
- Ease of use for model traning and fine tuning
- User intuitive platform
- Best for Service/Model deployment
- Featuristic dashboard for model management
- Ease of use for model traning and fine tuning
What do you dislike about the product?
Not seen any major cons with TrueFoundry. Since an early product minor issues with Hugging face open source models deployment.
What problems is the product solving and how is that benefiting you?
- Easy model deployment
- Great support for model traning and fine tuning
- Great support for model traning and fine tuning
Really useful
What do you like best about the product?
makes launching k8s a million times easier with really great support from their team
What do you dislike about the product?
just some ui things could be better but cant think of anything else
What problems is the product solving and how is that benefiting you?
deploying lots of inference endpoints
showing 31 - 40