Groq

What does Groq do?

GroqCloud runs inference on Groq's purpose-built LPU so teams can serve text, audio, vision, and image-to-text models with consistent latency and predictable throughput. The platform exposes popular models on demand, plus OpenAI-compatible access and a free API key path that makes it easy to start in a few lines of code. Groq also supports built-in prompt caching and compound tools, so developers can wire model calls into real workflows without rebuilding their stack. At scale, Groq shows millisecond inference, 99.5% platform availability, and record-setting performance across production workloads. The company says it was established in 2016 for inference, and customer stories point to real deployments from Solomei AI, GPTZero, StackAI, Fintool, and Opennote. GroqCloud is available in public, private, or co-cloud instances, while enterprise plans add regional endpoint selection, scalable capacity, custom models, and LoRA fine-tunes for larger deployments.

Why use Groq?

• Groq's LPU architecture is built for inference, so teams get deterministic execution instead of adapting a general-purpose chip.
• OpenAI-compatible access lets developers switch with just a few lines of code instead of rewriting their application layer.
• Public, private, and co-cloud instance options give buyers more deployment flexibility than a single shared endpoint.
• Customer stories show production gains like 7.41x faster chat speed and 89% lower costs for Fintool.
• GroqCloud supports text, audio, vision, and image-to-text models in one platform, reducing tool sprawl for multimodal apps.

Who is Groq for?

• Application developers who need low-latency model access with simple API integration.
• Startup teams who want to scale AI features without unpredictable inference costs.
• Enterprise AI teams who need custom deployment options and dedicated support.
• Product builders who ship voice, text, and vision experiences from one platform.
• Data and automation teams who need OpenAI-compatible model access and prompt caching.

What are Groq's key features?

What does Groq integrate with?

• OpenAI
• whisper v3 large
• whisper-large-v3-turbo
• llama-4-scout
• llama-3.1-8b-instant
• llama-3.3-70b-versatile
• GPT-OSS-120B
• GPT-OSS-20B
• compound
• compound-mini
• qwen3-32b

What are Groq's use cases?

How does Groq work?

1. Connect your first model endpoint in GroqCloud and choose a model from Popular models on-demand, then send a test request through the OpenAI compatible API to verify your integration.
2. Map your existing prompts and tools to Industry standard frameworks and integrations, so your app, automation, or agent workflow can call Groq without changing your core architecture.
3. Add voice, text, or vision workloads by selecting Support for LLMs, STT, TTS, and image-to-text models, then route each request to the right model for the task.
4. Monitor latency and throughput as traffic grows, using LPU Architecture and Build Fast to keep responses quick while your team ships new features.
5. Move higher-volume or enterprise workloads onto GroqRack or Groq Data Center Deployments, and rely on Secure by Default and Power Efficient operation for steady production use.

How much does Groq cost?

Frequently asked questions