Completed the deployment and scheduling of DeepSeek V4 on the Shengteng platform, and Colorite continues to promote the industrialization of domestic large models

Recently, DeepSeek V4 was officially released. Targeted at scenarios such as long document understanding, code generation, complex task planning, enterprise-level knowledge bases, and industry agents, it puts forward higher "core-model collaboration" requirements for underlying AI computing power, inference framework, memory scheduling, multi-card parallelism, KV Cache management, and operator optimization capabilities. Huawei simultaneously announced that the entire range of Ascend supernode products fully supports the DeepSeek V4 series model. The Ascend CANN ecosystem provides high-performance inference support for DeepSeek V4's native 1M long context through optimization technologies such as high-performance fusion operators, framework asynchronous scheduling, multi-Token prediction, and long context management.

As an Ascend diamond-level partner, Colorite has taken the lead in completing the deployment and scheduling of DeepSeek V4 on the Ascend Atlas 800 A3 super node platform. For MoE large models and ultra-long context reasoning scenarios, the computing power scheduling platform independently developed by Colorite can realize cross-card and cross-node system-level computing power scheduling and task management, and has large model computing power scheduling capabilities based on the Atlas 800 A3 super node. This capability has been deployed in the world's first Huawei 384 super node project for scientific research and education, accumulating practical experience for the stable operation of domestic large models on ultra-large-scale computing clusters.

Focusing on the large-scale application of large-scale domestic models such as DeepSeek V4, Colorite is building a complete AI inference product matrix, providing a full-stack product system from AI inference modules, inference cards, multi-card inference servers to super-node scheduling platforms, to industry intelligent all-in-one machines, covering all scenario needs from edge inference, privatized deployment to large-scale computing cluster scheduling.

The large model industry is shifting from "parameter competition" to "engineering competition." For industry customers, the real value is not the model itself, but whether the model can run stably at the customer site, be connected to the business system, ensure data security, achieve continuous optimization, and ultimately form an industry product that is deliverable, replicable, and scalable.

Colorite joins hands with the Huawei ecosystem to leverage its capabilities in super-node computing power scheduling, operator optimization, and model adaptation, as well as the company’s accumulation in display control, edge devices, AI hardware productization, and industry applications, and continues to promote the application of domestic large models such as DeepSeek, Qwen, GLM, and Minimax in government and enterprise, education, conferences, security, display control, and other scenarios.

In the future, Colorite will continue to build on Huawei's ecosystem and focus on continuous investment in "domestic large models + domestic AI computing power + industry product implementation" to create a complete product system to help customers build safe, controllable, and efficient domestic AI infrastructure, so that domestic large models can truly enter the scene of thousands of industries.