Upfront planning
Requirements inventory, traffic analysis, capacity assessment, metric definition, and network architecture design.
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.

Product positioning
Starting from business requirements and traffic models, ZCube network hardware, RoCE and GPU-to-GPU communication tuning, the in-house YCCL collective library, and ongoing operations are combined into a verifiable, replicable one-stop delivery system.
Core capabilities
Core capability architecture
From customer requirements to workload go-live, we complete workload inventory, architecture design, construction, end-to-end tuning, and project acceptance in sequence.
Core hardware and software
Standardized, modular coverage of AI cluster network planning, construction, dynamic tuning, and day-to-day operations.
Requirements inventory, traffic analysis, capacity assessment, metric definition, and network architecture design.
Device configuration, cabling, automated deployment, and network acceptance.
End-to-end optimization through requirements insight, metric definition, data collection, data exploration, solution design, training tuning, validation, and solution output.
Unified monitoring, incident response, root-cause analysis, continuous optimization, and go-live support.
Collective communication optimized for 10,000-GPU scale, compatible with multiple hardware brands, and suited to multi-tenant and concurrent training jobs.
Covers configuration push, fault monitoring, and diagnosis. Supports automatic recovery from service faults, cluster expansion and hitless replacement, and tenant-level GPU orchestration, forming automated operations, service resilience, and long-term operations capability.
Value and results
One-stop delivery of network devices, compute-network tuning, and operations services to keep cluster networks stable and communication efficient.
Unlock compute performance as the goal, and raise return on compute investment.
Tuning for RoCE and collective communication algorithms.
High-performance switches and controllers to support network planning, construction, and ongoing operations.
Products and services
Networking, tuning, operations, and professional services work together to cover the full lifecycle of AI cluster networking.
AI cluster networking
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.
Learn about the productAI infra tuning
For large-scale AI workloads, systematically tune training/inference frameworks, communication libraries, network configuration, and host configuration.
Learn about the productAI infra operations
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.
Learn about the productWhether you are building a new cluster, upgrading an existing network, tuning performance, or deploying intelligent NetOps, we can assess how the network can unlock more effective compute power.