Deploifai

A SaaS like experience for ML development and deployment on your own cloud.

[Deploifai @deploifai]

what a crazy week it has been

[Deploifai @deploifai]

Finally, a scalable way to decouple from OpenAI and host your own LLMs.

https://t.co/eY7nEmm0nV

[Deploifai @deploifai]

just facts

[Deploifai @deploifai]

We are excited to support BioHack NYC—an AI-in-Bio hackathon, where computer science and biology intersect.

Teams participating in BioHack NYC use our platform for creating AI tools that accelerate life science research!

 Learn more: https://t.co/KbDdD6VC7Z

[Deploifai @deploifai]

Setting up a GPU server to train ML models usually involves installing nvidia software.

Take a look at our approach:
https://t.co/YijdDMl4wu

[Deploifai @deploifai]

Deploifai is at Biohack NYC and we are giving free compute resources for the participants!

We're super excited to be at our first hackathon as collaborators!

Doing great things in Machine Learning? Check out https://t.co/uwHHcOyoTs

[Deploifai @deploifai]

We've all been there.

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We just improved examples so that it makes sense to devs;
https://t.co/g3VYvvF6mL

[Deploifai @deploifai]

Have you ever tried fetching files from an S3 bucket to a virtual machine on AWS?

There might be a better way: make those files available in your file system. Learn how:
https://t.co/Fv4F1nAc4i

[Deploifai @deploifai]

You've asked your interns to collect and process data on AWS, but you forgot they've never used S3 buckets.

Just use Deploifai datasets: access files in training servers just like google drive for desktop, or on any computer with the Deploifai CLI.

https://t.co/SSEQfJ5aSj

[Deploifai @deploifai]

Setting up a GPU server for machine learning involves complicated tooling installation. Let us set it up for you so that you can just do data science within 15 minutes.

See how: https://t.co/A5lseCdN25

[Deploifai @deploifai]

Deploying an ML model to the cloud is complicated. But with our help, it can be simpler.

See how: https://t.co/eVa4on6F0c

[Deploifai @deploifai]

We're wanting to hear feedback, and we are passionate about it

#MLOps #developers

[Deploifai @deploifai]

A unified way to deal with your datasets!

Read our blog about it~
https://t.co/5i5ZkCCCG2

#MLOps #DataScience

[Deploifai @deploifai]

What have we learned from building our CLI in Python, and why we decided to rewrite it in Golang.

Read more on how we made the change: https://t.co/jut3YQu97Z

#golang #MLOps

[Deploifai @deploifai]

Avoid the pain of setting up an MLFlow server for your ML experiments. Just use ours instead. Read https://t.co/AmmQZqdCQT to learn how.

[Deploifai @deploifai]

they all learn to use conda one day

[Deploifai @deploifai]

Announcing v0.1.0 Deploifai VSCode extension. It helps you easily connect to servers for your projects, and easily start/stop servers to save money.

The extension uses SSH tunnels and the Deploifai API, and you can read about it in our docs.

https://t.co/wnefZdaBAH

[Deploifai @deploifai]

We got load balancers, and networking configurations, and autoscaling, don't we? Read more about how we automate your infrastructure.

Check out our docs: https://t.co/emfd6D8Ky6

#MachineLearning #infrastructure

[Deploifai @deploifai]

we had Ishrak from our team build this example that you can refer to when deploying your own Llama model!

Read and follow along at: https://t.co/A9mPoqLEP2