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Managed inference API

Groq

Ultra-low-latency inference API built on Groq LPU hardware — strong when raw tokens-per-second on supported models matters more than picking a GPU SKU.

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Visit Groq(tracked)All providersSize VRAM firstEditorial scores last reviewed August 7, 2026

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Best for

Latency-sensitive chat, agents, and batch inference on Groq’s supported model set

Watch out

Model catalog and deployment options are narrower than general GPU rental; verify your model is supported before committing architecture

BillingToken / request API pricing
GPU choiceFixed LPU-backed serving — no SKU selection
Cold startTypically warm API endpoints
Model accessCurated high-speed model set on Groq Cloud

Fit detail

When Groq is the right shortlist — and when it is not

Use these lists to kill bad comparisons early, before you compare logos.

Ideal for

  • Latency-sensitive chat and agents on supported models
  • High tokens-per-second demos and batch decode
  • Products where wait time hurts more than model variety

Usually not ideal for

  • Models that are not on Groq Cloud
  • DIY GPU rental and custom CUDA stacks
  • Architectures that require arbitrary open-weight hosting

Spend & ops

How cost behaves — and what breaks first

No invented $/hour quotes. These notes explain the failure modes that show up on the first real invoice.

Cost mental model

API-priced speed. You are buying decode throughput on an LPU path, not a menu of GPU SKUs.

Ops notes

  • Confirm model support before locking product architecture
  • Design fallbacks to a GPU API for unsupported models
  • Measure your prompt lengths — throughput claims assume a workload shape

Fit scores

Groq on the decision axes

Same editorial scale as the hub chart — useful for shortlists, not as a price quote.

  • GPU choice2/10
  • Time-to-serving (editorial)10/10
  • Price clarity6/10
  • Production ops8/10
  • Open-model breadth6/10

Compare

Groq vs alternatives

Open a head-to-head when you are deciding between product shapes.

Related

Keep the decision attached to the rest of the stack

Cloud rental is one path. Local VRAM and open-weight fit still matter.