Groq

Custom LPU silicon delivering ultra-fast, deterministic LLM inference

Visit site →
LLM Infrastructure & APIs usage-based Free Tier growing

Our Take

Groq has the widest developer adoption among custom silicon players (2M+ developers on GroqCloud). The LPU delivers deterministic, jitter-free performance with sub-300ms time-to-first-token, making it ideal for real-time applications. Pricing is aggressive — $0.05/$0.08 for Llama 3.1 8B. The fundamental limitation is the 220MB SRAM per chip, which caps practical model size around 70B (requiring 576 chips). No training or fine-tuning support. Best for latency-critical inference on models up to ~120B parameters.

Pros

  • + Fastest inference speeds via custom LPU silicon
  • + Deterministic, jitter-free performance
  • + 2M+ developer community
  • + Aggressive pricing on smaller models

Cons

  • - SRAM limits practical model size (~120B max)
  • - Inference only — no training or fine-tuning
  • - Limited model catalog
  • - No self-hosted deployment

Details

Pricing Model
usage-based
Starting Price
$0 (free tier)
Self-Hosted
No
Cloud Hosted
Yes
Founded
2016

Best For

  • • Ultra-low latency inference
  • • Real-time AI applications
  • • Deterministic performance (no jitter)
  • • Developer prototyping

Integrations

OpenAI API compatible LangChain Llama Mixtral DeepSeek

Articles featuring Groq

Guide The LLM Infrastructure Landscape in 2025–2026
→

Last updated: