Founded by Preston Zhou in 2022
Run high-throughput open-weight models at low cost through a dedicated inference API
Pricing model
Pay-as-you-go
Rating
★ People love it
Time to value
Quick Setup (< 1 hour)
You can use Relace to run fast and low-cost inference for large open-weight models through a simple API. It serves popular open foundation models such as DeepSeek, Kimi, and GLM with high throughput and low latency. Instead of managing your own GPU clusters and dealing with hardware shortages or idle servers, you can connect directly to their API keys or route requests via OpenRouter. This makes it practical to serve millions or trillions of tokens for high-volume language model applications while keeping infrastructure expenses down.
What Relace does
Pricing breakdown
Pricing model: Pay-as-you-go
Frequently asked
Want a tailored answer?
See whether Relace fits your stack.
Techbible weighs Relace against what you already pay for, your team shape, and the work that's actually happening. Free to start.
Side by side
Compare Relace
Search the catalog or pick a similar tool to compare pricing, features, and fit.
Or pick from similar tools
More in AI Hosting & Inference
All tools →Modal
Run serverless AI model training, inference, and batch jobs on cloud GPUs
Ollama
Run open large language models locally on your machine or in the cloud
.wave
Run continuous inference for real-time voice and streaming speech models
AI Infrastructure For Developers • Beam
Run sandboxes, inference, and training with ultrafast boot times, instant autoscaling, and a developer experience that just works.
Baseten
Deploy and serve custom machine learning models with dedicated cloud infrastructure
Cerebras
Run high-speed artificial intelligence model inference and training on wafer-scale chips
Cerebrium
Deploy and scale machine learning models on serverless GPUs with pay-per-second pricing
Clockwork Systems, Inc.
Keep distributed machine learning workloads running through GPU and network hardware failures