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Adding lambda to the list of places to deploy models #2

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6 changes: 5 additions & 1 deletion README.md
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Expand Up @@ -108,6 +108,10 @@ On Compute Engine, [you can create](https://cloud.google.com/container-optimized

The [Model Garden](https://cloud.google.com/model-garden) provides a curated collection of LLMs. As of October 2023, only Code Llama and Llama 2 are available out of the most popular open-source code LLMs.

#### Lambda

Lambda provides on-demand access to dedicated cloud GPU instances & clusters. After [creating an account](https://cloud.lambdalabs.com/sign-up), you can quickly deploy pre-configured environments with popular ML tools and one-click Jupyter access via a simple dashboard or a developer-friendly API. You only pay for what you use, with no egress fees.

#### Others

There are a number of other deployment methods, including [Cog](https://github.com/replicate/cog), [Triton Inference Server](https://github.com/triton-inference-server/server), and [RayLLM](https://github.com/ray-project/ray-llm). If you have experience with these or others, please open an issue / PR and let us know about your experience!
Expand Down Expand Up @@ -145,7 +149,7 @@ Instructions for requesting a quota increase on GCP can be found [here](https://

#### Others

There are a number of GPU-focused clouds, including [Lambda Labs](https://lambdalabs.com/), [Runpod](https://runpod.io), [ShadeForm](https://www.shadeform.ai), [Vast.ai](https://vast.ai/), [FluidStack](https://www.fluidstack.io), [CoreWeave](https://www.coreweave.com), [Paperspace](https://www.paperspace.com/), and [Jarvis Labs](https://jarvislabs.ai). If you have experience with these or others, please open an issue / PR and let us know about your experience!
There are a number of GPU-focused clouds, including [Lambda](https://lambdalabs.com/), [Runpod](https://runpod.io), [ShadeForm](https://www.shadeform.ai), [Vast.ai](https://vast.ai/), [FluidStack](https://www.fluidstack.io), [CoreWeave](https://www.coreweave.com), [Paperspace](https://www.paperspace.com/), and [Jarvis Labs](https://jarvislabs.ai). If you have experience with these or others, please open an issue / PR and let us know about your experience!

## 4. Can you secure enough budget for your team?

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