What is Groq?
Groq offers rapid AI inference capabilities, primarily through its GroqCloud™ platform, designed for developers and enterprises seeking high performance with openly-available AI models. It provides access to a range of models, including popular Large Language Models (LLMs) like Llama, Mixtral, and Gemma, as well as Automatic Speech Recognition (ASR) models like Whisper and vision models. The platform emphasizes speed, aiming to deliver near-instantaneous results for AI tasks.
Developers can integrate Groq's inference services with minimal code changes, benefiting from compatibility with existing tools like the OpenAI endpoint. The service operates on a pay-per-use model, charging based on the number of input and output tokens processed or time transcribed for ASR models. Groq also offers enterprise solutions, including on-premise deployments via GroqRack™ Cluster and specialized access for larger scale needs.
Features
- High-Speed Inference: Offers significantly fast processing for AI models.
- Access to Open Models: Supports leading openly-available models like Llama, Mixtral, Gemma, Whisper, Qwen, and DeepSeek.
- GroqCloud™ Platform: Provides a self-serve developer tier and enterprise access for cloud-based inference.
- OpenAI Endpoint Compatibility: Allows easy migration by changing minimal lines of code.
- Pay-per-Use Pricing: Charges based on input/output tokens for LLMs/Vision and time for ASR.
- Batch API: Enables processing large volumes of API requests asynchronously with discounted rates.
- GroqRack™ Cluster: Offers on-premise deployment options for enterprises.
Use Cases
- Accelerating AI application performance.
- Running inference on large language models (LLMs) efficiently.
- Implementing fast automatic speech recognition (ASR).
- Integrating vision model capabilities into applications.
- Developing AI-powered tools requiring low latency.
- Scaling AI workloads cost-effectively.
- Migrating existing AI workflows from other providers.
FAQs
-
What types of AI models does Groq support?
Groq supports a variety of openly-available AI models, including Large Language Models (LLMs) like Llama, Mixtral, Gemma, Qwen, and DeepSeek, Automatic Speech Recognition (ASR) models like Whisper, and Vision models. -
How is pricing calculated for Groq's services?
Pricing is usage-based. For LLMs and Vision models, charges are per million input and output tokens. For ASR models, charges are per hour of audio transcribed, with a minimum charge per request. Batch processing offers discounted rates. -
Can I use Groq with my existing OpenAI integration?
Yes, Groq offers OpenAI endpoint compatibility. You can switch by setting your Groq API key as the OPENAI_API_KEY and updating the base URL. -
Does Groq offer on-premise solutions?
Yes, Groq provides GroqRack™ Cluster for enterprise customers seeking on-premise AI inference deployments. -
What is the Batch API?
The Batch API allows users to submit large workloads (thousands of API requests) for asynchronous processing by Groq, typically with a 24-hour turnaround, at a discounted rate compared to real-time processing.
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