MULTI-SERVICE PLATFORMS • CURATED • UPDATED FEB 5, 2026

Groq

Fast inference platform for AI models
Price
Enterprise
API
Yes
Weights
No

High-performance inference platform providing ultra-fast API access to large language models and other AI models. Optimized for speed using custom hardware (LPU - Language Processing Unit). Supports popular open-source models including Llama, Mixtral, Mistral, and Gemma. Offers REST API with streaming support and extremely low latency. Focuses on speed optimization, making it ideal for real-time applications. Provides dedicated endpoints for specific models and shared infrastructure. Suitable for developers needing fast inference for production applications, chatbots, and real-time AI interactions. Pay-per-use pricing with competitive rates.

Fastest inference platform available, making it ideal for real-time applications requiring low latency.

Pricing Enterprise
Platforms api
API Yes
Open Source No
Modalities Multi-Service Platforms
Best For Best for Speed
Date Added 2026-02-05
  • ✓Ultra-fast inference speeds (LPU hardware)
  • ✓Extremely low latency
  • ✓Support for popular open-source models
  • ✓REST API with streaming
  • ✓Competitive pricing
  • ✓Reliable infrastructure
  • ✓Ideal for real-time applications
  • ⚠Limited to supported models
  • ⚠Primarily focused on LLM inference
  • ⚠Model selection depends on platform offerings
  • ⚠May have queue times during peak usage
  • ⚠Less control over model fine-tuning

Sign up at console.groq.com and obtain API key. Choose models from available options (Llama, Mixtral, etc.). Make API calls using REST endpoints. Use streaming API for real-time responses. Monitor usage through dashboard. Free tier includes generous rate limits. Paid plans offer higher limits and priority access.

1 Leverage streaming API for best user experience
2 Use for applications requiring fast response times
3 Take advantage of low latency for real-time apps
4 Monitor token usage to optimize costs
5 Choose appropriate model size for your use case

Real-Time Chatbot

Build chatbots with ultra-fast response times using Groq's low-latency inference.

STEPS:
  1. Set up Groq API credentials
  2. Select appropriate model for your use case
  3. Implement streaming for real-time responses
  4. Handle user queries with fast inference
  5. Monitor performance and optimize

High-Throughput Application

Deploy applications requiring fast inference for high-volume requests.

STEPS:
  1. Choose Groq for speed optimization
  2. Configure API endpoints
  3. Implement request queuing if needed
  4. Monitor throughput and latency
  5. Scale based on demand
Enterprise

Enterprise pricing — contact Groq for a custom quote and contract terms.

View pricing details →
View Groq Alternatives (2026) →

Compare Groq with 5+ similar multi-service platforms AI tools.

❓
Q

Is Groq free?

A

Groq is offered as an enterprise solution; contact the provider for pricing.

Q

Does Groq have an API?

A

Yes, Groq offers an API for programmatic integration.

Q

What is Groq best for?

A

Groq is best for Speed. High-performance inference platform providing ultra-fast API access to large language models and other AI models. Fastest inference platform available, making it ideal for real-time applications requiring low latency.

Q

What platforms does Groq support?

A

Groq supports api.

Q

Is Groq open source?

A

No, Groq is not open source.

Q

How do I get started with Groq?

A

Sign up at console.groq.com and obtain API key. Choose models from available options (Llama, Mixtral, etc.). Make API calls using REST endpoints. Use streaming API for real-time responses. Monitor usage through dashboard. Free tier includes generous rate limits. Paid plans offer higher limits and pr...

🏷️

Work on Groq? You're hand-reviewed in our directory. Add this badge to your site — it links back to this profile.

Featured on CuratedAI