> ## Documentation Index
> Fetch the complete documentation index at: https://docs.pipeshub.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Groq

> Configure PipesHub Workplace AI to use Groq for ultra-fast LLM inference

# Groq Configuration

<img src="https://mintcdn.com/pipeshub/xDYTCu7XyGABzJ1N/images/ai-models/llm/Groq_LLMConfig.png?fit=max&auto=format&n=xDYTCu7XyGABzJ1N&q=85&s=4ff1bfc3865f139375d9457bce00551e" alt="Groq Configuration Interface" width="665" height="1003" data-path="images/ai-models/llm/Groq_LLMConfig.png" />

*The Groq configuration screen in PipesHub where you'll enter your API Key and Model Name*

PipesHub allows you to integrate with Groq to enable AI features in your workspace. Groq's Language Processing Unit (LPU) hardware delivers exceptionally fast inference speeds, making it ideal for latency-sensitive applications and real-time interactions.

## Required Fields

### API Key \*

The API Key is required to authenticate your requests to Groq's services.

**How to obtain an API Key:**

1. Log in to the [Groq Console](https://console.groq.com/)
2. Navigate to the "API Keys" section
3. Click "Create API Key"
4. Copy the generated API key

**Security Note:** Your API key should be kept secure and never shared publicly. PipesHub securely stores your API key and uses it only for authenticating requests to Groq.

### Model Name \*

The Model Name field defines which model you want to run on Groq's infrastructure.

**Popular models available on Groq:**

* `meta-llama/llama-4-scout-17b-16e-instruct` - Meta's Llama 4 Scout, a fast and capable instruction-following model

**How to choose a model:**

* For fast, general-purpose instruction-following, select `meta-llama/llama-4-scout-17b-16e-instruct`
* Check Groq's [model documentation](https://console.groq.com/docs/models) for the full list of supported models

## Configuration Steps

As shown in the image above:

1. Click **Configure** on the Groq provider card
2. Enter your Groq API Key in the designated field (marked with \*)
3. Specify your desired Model Name (marked with \*)
4. Click **Add Model** to save and validate your credentials

> Both the API Key and Model Name are required fields to successfully configure Groq integration.

## Usage Considerations

* API usage will count against your Groq account's quota and billing
* Different models have different pricing — check Groq's pricing page for details
* Groq provides:
  * Ultra-low latency inference via dedicated LPU hardware
  * High throughput for concurrent requests
  * Support for popular open-source models including Llama and Mixtral families

## Troubleshooting

* If you encounter authentication errors, verify your API key is correct and has not expired
* Ensure your Groq account has billing set up if you are on a paid tier
* Check that the model name is spelled correctly — Groq uses a `provider/model-name` format for most models
* Verify that your account has access to the specific model you have selected
* If you are experiencing rate limits, check your usage in the Groq Console dashboard

For additional support, refer to the [Groq documentation](https://console.groq.com/docs/) or contact PipesHub support.