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Groq vs Recurse

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Groq compared with Recurse
DetailGroqRecurse
What it doesPremier neocloud for fast inference Build and deploy Agent MCP Apps
StageEstablished Growing
FoundedNot given Not given
Based inUS Not given
Pricing modelNot given usage-based
PricingNot given Not given
Key features
  • GroqMetal: dedicated bare-metal infrastructure tuned for speed and reliability
  • GroqCore: production-ready inference stack with no infrastructure expertise required
  • GroqAssured: enterprise-grade governance, auditability, and control
  • 256 LPUs per rack with 40 PB/s SRAM bandwidth
  • 1,000 tokens per second per user throughput
  • 128 GB on-chip SRAM per rack
  • 315 PFLOPS of FP8 inference compute
  • 13 globally distributed data centers across four continents
  • Run agents with Python tools
  • Deploy agents as MCP servers
  • Validate structured inputs and outputs
  • Inspect run results and artifacts
  • Secrets management
  • 24-hour result retention
What makes it different
  • Fast inference at scale without sacrificing affordability
  • LPU pioneered technology integrated with NVIDIA GPUs
  • Fully integrated platform combining infrastructure, inference, and control
  • No subscription or idle charges for usage-based pricing
  • Zero markup on model tokens
  • Hosting included with deployment
  • Available through MCP clients like Claude and Codex
  • Full visibility into agent execution and results
Free planNot given Not given
Open sourceNot given Not given
PlatformsNot given Not given
Public APINot given Not given
Community votes00
DR (Domain Rating by Ahrefs)85 no change since last check35 no change since last check
Trust Flow (Majestic)3711
Citation Flow (Majestic)5620
Referring domains (Majestic)1255239

4 details filled in for both companies.

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