AI inference
Deploy inference tasks across suitable GPU or Apple Silicon resources.
Heterogeneous compute infrastructure
Match AI, rendering, media, container, and distributed workloads to the hardware that fits them.
Apple Silicon devices, NVIDIA GPU servers, workstations, and general compute devices connect through one compute fabric to multiple workload types.
We combine different compute resources instead of forcing every task onto one architecture.
Deploy inference tasks across suitable GPU or Apple Silicon resources.
Run supported training workloads on NVIDIA GPU server capacity.
Distribute rendering jobs across workstations and compatible compute nodes.
Parallelize media processing for repeatable, batch-oriented pipelines.
Schedule containerized jobs across available general and specialized compute.
Break larger jobs into coordinated tasks across multiple devices.
Current resources include Apple Silicon devices, NVIDIA GPU servers, workstations, and other general compute devices, with ongoing batch expansion capability.
Zhejiang Zhijian Shangjia Network Technology Services Co., Ltd. builds and operates heterogeneous compute resources for AI, media processing, rendering, containers, and distributed workloads.
浙江指尖商家网络科技有限公司
Zhejiang Zhijian Shangjia Network Technology Services Co., Ltd.
Share the workload, preferred hardware, deployment scope, and expected capacity. Our team will respond to infrastructure and partnership enquiries.