[KongchangAI]
Company

Superlinked

A company providing AI inference infrastructure whose product SIE (Superlinked Inference Engine) is used to deploy specialized models to optimize LLM call costs.

Timeline (last 90 days)

Oct 13

Superlinked's SIE engine supports two deployment modes for the same engine: public filings can be placed on SIE Cloud with pay-per-usage, while customer and internal documents can be self-hosted on your own GPUs, with both sides sharing the same SDK and model IDs.

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Oct 13

SIE offers Apache 2.0 open-source weights, with one API covering OCR, extraction, embedding, and reranking.

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Oct 13

SIE Cloud is run by Superlinked on GPUs, is pay-per-usage, has no idle GPUs, and offers SOC 2 Type 2 certification and US/EU data residency options.

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Oct 13

The SIE self-hosted version is Apache 2.0 licensed, runs in the user's own VPC, is deployed to AWS, GCP, or Azure via Terraform and Helm, and achieves scale-to-zero between tasks on Kubernetes via KEDA.

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Oct 13

Superlinked SIE is an inference layer for task-specific models with three operating modes: SIE Cloud managed (pay-per-use), self-hosted on VPC or Kubernetes (Apache 2.0), and local development.

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Oct 13

On SIE Cloud, Qwen3.8-27B (FP8) is offered at $0.72 per million tokens for both input and output; GLiNER2 Large is $0.186 per million input tokens.

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Sep 3

SIE (Superlinked Inference Engine) is an inference engine launched by Superlinked that supports simultaneous deployment of multiple models on a single cluster (multi-model co-location).

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