What is Entrim AI?

Entrim.ai provides a serverless LLM inference API compatible with the OpenAI API for running open-source models in production.It includes a model library (Qwen 3.6, DeepSeek v4, Gemma and others), managed high-throughput GPU clusters, and bare-metal rental options (RTX 5090, Pro 6000, Blackwell).

The platform uses an optimized inference runtime and GPU orchestration to reduce per-request token costs and support repeatable LLM workloads.Autoscaling, predictable latency, and 99.9% target uptime are offered to maintain production reliability during traffic ramps.

OpenAI-compatible endpoints enable provider migration by swapping base URLs while keeping existing SDKs and request patterns.EU-controlled infrastructure and memory-cleared request handling provide tenant isolation and data protection for developers, startups, and enterprise AI teams.

Entrim AI on the web:

Entrim AI details

Company: E3M d.o.o.
Jurisdiction: Republic of Slovenia
Built for: Individuals
Data residency: European Union
Stated compliance: GDPR

Compliance as stated in Entrim AI's own published documentation.

Entrim AI tech specs

Works with: OpenAI / GPT Anthropic / Claude DeepSeek Qwen

Entrim AI pricing

Free trial

Qwen 3.6 35b-a3b fast everyday coding $29/mo

Qwen 3.6 27b accuracy-focused coding model $49/mo

Gemma 4 31b code plus images and pdfs $49/mo

Deepseek v4 flash 1m context, single huge passes $129/mo

$29/mo is pricier than most for Infrastructure tools median $12.50/mo

Most Infrastructure tools tools start between $3.95 and $29.50 a month.

Free trial: 7 days

Trial, refund and renewal terms as stated in Entrim AI's own published documentation.

Verify on the official pricing page.

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Entrim AI's key features

OpenAI-compatible serverless LLM inference API with provider migration via base-URL swap
Model library (Qwen 3.6, DeepSeek v4, Gemma, and others)
Managed high-throughput GPU clusters and bare-metal rental options (RTX 5090, Pro 6000, Blackwell)
Optimized inference runtime and GPU orchestration for efficient, repeatable LLM inference
EU-controlled infrastructure and memory-cleared request handling for tenant isolation and data protection

Entrim AI use cases

Deploy scalable, low-latency customer support and conversational agents using Entrim.ai's serverless OpenAI-compatible inference, autoscaling and managed GPU clusters, ensuring EU-controlled infrastructure and memory-cleared request handling for data privacy compliance
Run cost-effective batch processing pipelines for document ingestion, summarization and extraction using Entrim.ai's optimized inference runtime and low token-cost models, leveraging bare-metal GPU rentals for peak throughput and predictable latency
Build real-time personalization and recommendation systems or live AI features in SaaS apps using Entrim.ai's model library, autoscaling LLM API and high-throughput GPUs, with tenant isolation and memory-cleared requests to meet regulatory and enterprise security requirements