diff --git a/docs/my-website/docs/providers/snowflake.md b/docs/my-website/docs/providers/snowflake.md
new file mode 100644
index 0000000000..04b46b09e1
--- /dev/null
+++ b/docs/my-website/docs/providers/snowflake.md
@@ -0,0 +1,101 @@
+import Tabs from '@theme/Tabs';
+import TabItem from '@theme/TabItem';
+
+
+# Snowflake
+LiteLLM supports all Snowflake models.
+- `snowflake/deepseek-r1`
+- `snowflake/claude-3-5-sonnet`
+- `snowflake/llama3.2-1b`
+- `snowflake/llama3.2-3b`
+- `snowflake/llama3.1-8b`
+- `snowflake/llama3.1-70b`
+- `snowflake/llama3.3-70b`
+- `snowflake/snowflake-llama-3.3-70b`
+- `snowflake/llama3.1-405b`
+- `snowflake/snowflake-llama-3.1-405b`
+- `snowflake/snowflake-arctic`
+- `snowflake/reka-core`
+- `snowflake/reka-flash`
+- `snowflake/mistral-large2`
+- `snowflake/mixtral-8x7b`
+- `snowflake/mistral-7b`
+- `snowflake/jamba-instruct`
+- `snowflake/jamba-1.5-mini`
+- `snowflake/jamba-1.5-large`
+- `snowflake/gemma-7b`
+
+Currently, Snowflake's REST API does not have an endpoint for `snowflake-arctic-embed` embedding models. If you want to use these embedding models with Litellm, you can call them through our Hugging Face provider. 
+
+Find the Arctic Embed models [here](https://huggingface.co/collections/Snowflake/arctic-embed-661fd57d50fab5fc314e4c18) on Hugging Face.
+## Supported OpenAI Parameters
+```
+    "temperature",
+    "max_tokens",
+    "top_p",
+    "response_format"
+```
+
+## API KEYS
+
+Snowflake does have API keys. Instead, you access the Snowflake API with your JWT token and account identifier.
+
+```python
+import os 
+os.environ["SNOWFLAKE_JWT"] = "YOUR JWT"
+os.environ["SNOWFLAKE_ACCOUNT_ID"] = "YOUR ACCOUNT IDENTIFIER"
+```
+## Usage
+
+```python
+from litellm import completion
+
+## set ENV variables
+os.environ["SNOWFLAKE_JWT"] = "YOUR JWT"
+os.environ["SNOWFLAKE_ACCOUNT_ID"] = "YOUR ACCOUNT IDENTIFIER"
+
+# Snowflake call
+response = completion(
+    model="snowflake/mistral-7b", 
+    messages = [{ "content": "Hello, how are you?","role": "user"}]
+)
+```
+
+## Usage with LiteLLM Proxy 
+
+#### 1. Required env variables
+```bash
+export SNOWFLAKE_JWT=""
+export SNOWFLAKE_ACCOUNT_ID = ""
+```
+
+#### 2. Start the proxy~
+```yaml
+model_list:
+  - model_name: mistral-7b
+    litellm_params:
+        model: snowflake/mistral-7b
+        api_key: YOUR_API_KEY
+        api_base: https://YOUR-ACCOUNT-ID.snowflakecomputing.com/api/v2/cortex/inference:complete
+
+```
+
+```bash
+litellm --config /path/to/config.yaml
+```
+
+#### 3. Test it
+```shell
+curl --location 'http://0.0.0.0:4000/chat/completions' \
+--header 'Content-Type: application/json' \
+--data ' {
+      "model": "snowflake/mistral-7b",
+      "messages": [
+        {
+          "role": "user",
+          "content": "Hello, how are you?"
+        }
+      ]
+    }
+'
+```
diff --git a/docs/my-website/sidebars.js b/docs/my-website/sidebars.js
index 51c4c8c21e..8315537a17 100644
--- a/docs/my-website/sidebars.js
+++ b/docs/my-website/sidebars.js
@@ -230,6 +230,7 @@ const sidebars = {
         "providers/sambanova",
         "providers/custom_llm_server",
         "providers/petals",
+        "providers/snowflake"
       ],
     },
     {