Add BentoML

README.md

@@ -221,6 +221,7 @@ Remember that this is an opinionated list. There are bazillions of cloud provide
 * https://modal.com/ Modal lets you run or deploy machine learning models, massively parallel compute jobs, task queues, web apps, and much more, without your own infrastructure.
 * https://www.runpod.io/ Save over 80% on GPUs. GPU rental made easy with Jupyter for PyTorch, Tensorflow or any other AI framework. I've used it before. Quite easy to use.
 * https://replicate.com/ Run and fine-tune open-source models. Deploy custom models at scale using [cog](https://github.com/replicate/cog). All with one line of code.
+* https://bentoml.com/ BentoML is the platform for software engineers to build AI products. Deploy using [BentoML](https://github.com/bentoml/BentoML) package.
 * https://www.baseten.co/ Fast and scalable model inference in the cloud using [truss](https://github.com/basetenlabs/truss/)
 * https://lambdalabs.com/ GPU cloud built for deep learning. Instant access to the best prices for cloud GPUs on the market. No commitments or negotiations required. Save over 73% vs AWS, Azure, and GCP. Configured for deep learning with Pytorch, TensorFlow, Jupyter
 * https://www.beam.cloud/ On-demand GPU compute: Train and deploy AI and LLM applications securely on serverless GPUs, without managing infrastructure