Groq
Groq operates an LPU (Language Processing Unit) inference cloud delivering 280-800 tokens/second for LLM inference. Their proprietary GroqChip hardware achieves record-breaking inference speed by eliminating the memory wall through on-chip SRAM architecture. Groq hosts open-weight models including Llama 3.3 70B and Mixtral with zero-latency serving.
Why Choose Groq?
Groq's LPU architecture replaces the traditional GPU memory hierarchy with massive on-chip SRAM (80MB per chip) enabling zero-dependency inference. By storing all model weights in SRAM rather than HBM, Groq eliminates DRAM bandwidth bottlenecks entirely. Their compilation framework maps transformer operations directly to systolic array instructions, achieving deterministic inference latency. The Groq API provides OpenAI-compatible endpoints with latency as low as 10ms for token generation, making it ideal for real-time applications like voice assistants and interactive coding tools.
Pricing Overview
Groq Llama 3.3 70B costs $0.88/M input/output tokens. Free tier provides 30 RPM / 14,400 RPD with no credit card required. Their API is fully OpenAI-compatible, enabling drop-in replacement of any OpenAI SDK client. Self-hosting costs $1.19/hr for the equivalent Llama 3.3 70B deployment.
Official Model Portfolio (0)
⚡ Verified Free Tier & SDK Drop-In
Credit Card Required: No
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://api.groq.com/openai/v1",
apiKey: process.env.GROQ_API_KEY,
});