Why Reka?

Global Infrastructure. Inference Without Borders.

Reka serves developers and businesses around the world through globally distributed infrastructure designed to deliver fast, reliable model inference.

users
2.2M
countries
170+
tokens processed monthly
3.6T
  • OpenAI
  • ByteDance
  • Anthropic
  • Salesforce
  • Vercel
  • Reddit
  • Cloudflare
  • Patreon
  • Hugging Face
  • Snowflake
  • Oracle
  • Hearst
  • NVIDIA
  • OpenRouter
  • Paramount
  • LLM Gateway
  • Customer.io
  • LiteLLM
  • Panopto
  • Cline
  • Google
  • Kilo Code
  • Universal Music Group
  • OpenCode
  • Mercor
  • Hermes
  • Wyze
  • Pi
  • Dear Media
  • Spotify

Research-driven inference. Built for production scale.

Reka is a frontier AI research lab building both foundation models and the infrastructure that powers them. Unlike traditional inference providers that focus primarily on hosting models, we bring deep expertise across the entire AI stack—from model architecture and training to low-level GPU optimization and distributed inference.

  • Model-level efficiencyNear-lossless 3.5-bit quantization and distillation.
  • GPU-level performanceCustom kernels and optimized tensor transfers.
  • Serving-level optimizationSmart batching, speculative decoding, KV cache.
  • Infrastructure-level efficiencyLoad balancing and serving across GPU clusters.

Reka Inference, by the Numbers

Real-time performance metrics from production inference workloads across Reka’s global infrastructure.

LiveAll chat models · last 24 hours

Production-Grade Reliability

High availability and consistent performance, measured live across millions of inference requests.

High Throughput. Low Latency.

Fast token generation and minimal response latency, measured across real-world production workloads.

Inference at Scale

Millions of requests and billions of tokens processed daily, powering AI applications around the world.

Frontier Models. One Inference Platform.

Built by a frontier AI research lab. Engineered for performance, reliability, and scale.

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