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Groq

Groq

Fast LLM inference on custom LPU chips

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Groq is the premier neocloud for fast inference. One fully integrated platform for infrastructure, inference, and control. Millions of developers run trillions of tokens on Groq every week.

Groq alternatives →More API tools →74 free dev tools →

Groq provides fast, affordable LLM inference on custom LPU chips with integrated infrastructure and control.

for
Developers and teams needing high-throughput, low-latency AI inference.
pricing
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Key features

5 features of Groq
  • Custom LPU hardware — Runs inference on Groq’s proprietary LPU chips for low latency.
  • LPX hybrid acceleration — Combines LPU with NVIDIA next-gen GPUs for enhanced throughput.
  • Integrated platform — Offers infrastructure, inference engine, and control in one service.
  • Scalable capacity — Provides hundreds of megawatts of compute capacity, expandable on demand.
  • Cost-effective performance — Delivers fast inference without the typical trade-off of higher cost.

Use cases

  • Real-time LLM serving for chatbots and virtual assistants
  • Batch inference for large-scale token generation
  • High-frequency model inference in recommendation systems
  • Cost-sensitive AI workloads requiring low latency
  • Scaling AI services during traffic spikes

Groq vs alternatives

GroqOpenRouterReplicate
Best forHigh-performance LLM inference at scaleUnified model accessModel execution and fine-tuning
PricingContact salesSubscriptionSubscription
DevHunt upvotes000
Launched———
  • Groq vs OpenRouter: Provides a single API to many AI models but runs on third-party infrastructure
  • Groq vs Replicate: Runs and fine-tunes models via API, focused on model hosting rather than custom hardware

Groq FAQ

What is an LPU?+

LPU is Groq’s custom inference processor designed to accelerate large language model workloads.

How does Groq achieve fast inference?+

By running models on LPU chips and optionally pairing them with NVIDIA GPUs via the LPX architecture.

Is Groq’s service affordable?+

Groq states that fast inference is no longer a trade-off with cost, offering affordable pricing at scale.

Can I use Groq with existing GPU workloads?+

Yes, Groq’s LPX works alongside NVIDIA’s next-generation GPUs.

How does Groq handle scaling?+

Groq builds hundreds of megawatts of compute capacity and adds more as demand grows.

Summarized by DevHunt from groq.com · Nov 7, 2026. Details may change; check the official site.

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