With $25 in free credit.
80%
Up to Lower cost
Lower token costs for repeatable LLM workloads, without sacrificing production performance.
99.9%
Target uptime
Built for workloads that need stable availability, predictable latency, and consistent behavior under traffic.
OpenAI-compatible
Run open-source models through a managed LLM inference API without provisioning GPUs or maintaining serving infrastructure.
Privacy-first data handling
Prompts and outputs are processed for inference and not stored after completion. Customer data is not used for model training.
Compare Entrim’s pricing, powered by an optimized inference runtime, against other providers using the same token counts per request.
With $25 in free credit.
Estimate your Savings
With $25 in free credit.
Keep your product stable as usage grows, with predictable latency, autoscaling capacity, and lower cost per request.
Inference runs in our Slovenia, EU data center, operated by our team with direct operational control.
Our LLM inference is powered by B200, H200, and H100 clusters tuned for high throughput under real workloads.
We engineered intelligent GPU orchestration for efficiency, and pass the savings directly to users.
Autoscaling capacity handles traffic spikes automatically without manual provisioning or reconfiguration.
OpenAI compatible APIs enable fast LLM provider migration by swapping the base URL and keeping existing SDKs.
Engineered for predictable behavior under load, keeping latency and uptime stable as traffic ramps.
Security and compliance are core principles, keeping every byte of your data private and protected.
Designed to keep customer data private with encrypted requests stored in RAM-only and cleared after completion. No model training on prompts or outputs.
Here are the most common questions users ask before getting started.