inference.net
inference.net is a wholesaler of LLM inference tokens for models like Llama 3.1. We provide inference batch and streaming inference APIs at a 50-90% discount from what you would pay together.ai or groq. We can currently generate ~100B tokens per day. Are you a researcher? Click here. There is less of a GPU shortage than you have been led to believe. Data centers have underutilized capacity, but it comes in a shape that most orchestration software is not capable of using; a few minutes here, a few hours there. Once those unused minutes have passed, they can never be reclaimed. Like a stock option that is about to expire, unused compute becomes less valuable as it approaches its expiration date. Few customers need just a few minutes of compute time, making these fragments challenging to sell conventionally. To solve this, we built custom scheduling and orchestration software that aggregates these small chunks across data centers to run AI models on compute that would otherwise go unuse
Inference.net | Full-Stack LLM Lifecycle Platform News Introducing Catalyst: Train self-improving AI models Learn more Product Deploy Fully managed, global, turn-key AI infrastructure. Launch fast with dedicated uptime. Observe Monitor production AI with continuous benchmarking. Compare quality, latency, & cost. Trace Trace every step your agents take. Capture LLM calls, tool calls, and framework steps. Train Custom models in days, not months. Task-specific models tuned to your data. Evaluate Evaluate AI model performance with rigorous benchmarks before deploying to production. Talk to an Engi
Explore this link on the map →saved by
related reading
- AI Model & API Providers Analysis | Artificial Analysisartificialanalysis.ai
- Inference Platform: Deploy AI models in production | Basetenbaseten.co
- LLM Inference Performance Engineering: Best Practices | Databricks Blogdatabricks.com
- Composer2.pdfcursor.com
- Patterns for Building LLM-based Systems & Productseugeneyan.com
- Langfuselangfuse.com
- Optimizing inference · Hugging Facehuggingface.co
- Best practices to accelerate inference for large-scale production workloadstogether.ai
- 2025: The year in LLMssimonwillison.net
- Kimi-K2.5 Inference Benchmark - Luminalluminal.com
- PostTrainBenchposttrainbench.com
- Model optimization | OpenAI APIplatform.openai.com