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About HARNETS

Next-generation AI network infrastructure for extreme token production efficiency

HARNETS focuses on AI cluster networking and delivers full-lifecycle solutions covering cluster network planning, construction, performance tuning, and day-to-day operations.

Company overview

Inventor of ZCube, covering the full lifecycle of AI cluster networking

HARNETS (上海驭驯网络科技有限公司) focuses on AI cluster networking and follows the principle of strengthening compute with the network while cutting cost and raising efficiency. The company turns original network architecture into replicable products, tools, and delivery capability across planning, build-out, tuning, and operations.

50+

employees

4

core technologies

70%+

share of employees in technical roles

180+

papers and patent filings combined

Figures as of August 2026

Dual-port ZCube 4,096-GPU networking topology

Technology origin

From a SIGCOMM paper to production

ZCube-related work was published at ACM SIGCOMM 2025, first proposing the ZCube AI cluster networking architecture and rethinking large-model cluster network infrastructure with a new underlying interconnect logic.

Trade hierarchy for efficiency, and determinism for performance

HARNETS is committed to turning original architecture into products, control software, toolchains, and delivery services that can be deployed at scale.

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Core capabilities

Four core technologies across the full lifecycle of AI cluster networking

One-stop AI cluster networking delivery with integrated hardware and software, helping customer clusters go live faster.

AI cluster networking

ZCubeNext-generation AI cluster networking architecture

Replace the traditional multi-tier tree with a fully flat interconnect, remove Spine-layer switches, and combine single-rail plus multi-rail hybrid access with dedicated routing so GPU communication inside the cluster takes shorter, more balanced paths.

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AI computing tuning

YCOSAI computing tuning system

For large-scale AI workloads, systematically tune training/inference frameworks, communication libraries, network configuration, and host configuration.

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AI computing operations

XOPSAI computing operations system

For large-scale training and inference on AI clusters, build an integrated operations platform across compute, network, and storage for faster problem localization and efficient troubleshooting.

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Professional services

Full Lifecycle ServicesComplete delivery from planning to go-live

One-stop delivery of network devices, compute-network tuning, and operations services to keep AI cluster networks stable, communication efficient, and SLAs met, helping clusters go live faster.

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Start with the network

Make the next AI data center more efficient, starting with the network

Whether you are building a new cluster, upgrading an existing network, tuning performance, or deploying intelligent operations, we can assess how the network can unlock more effective compute.

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