GuShiio.com In the past two weeks, the DeepSeek all-in-one machine has become a major consumer highlight in the government and enterprise IT market.
More than 60 IT manufacturers, including Huawei Shengteng, Zhongke Shuguang, Inspur Information, Lenovo, and Xinhua III, have intensively launched DeepSeek all-in-one machines that adapt to full models. The speed of product release is unprecedented.
With the roar of the steam engine, the world entered the industrial age. So, does government and enterprise customers buy an all-in-one machine and press the power button mean entering the DeepSeek moment? This is obviously impossible.
We all know that after Watt improved the steam engine, it was accompanied by the mining of iron ore, the laying of train tracks, the development of the textile industry, and the emergence of the working class that a vigorous industrial revolution was formed.
After the deployment of the DeepSeek all-in-one machine, government and enterprises began to touch deep water areas-how are heterogeneous computing powers compatible? How to integrate DeepSeek with business scenarios? There is a lack of AI talents. Who will maintain the all-in-one cluster in the later stage?
When DeepSeek technology equality encounters the intelligent transformation of government and enterprise, IT manufacturers must simultaneously play the role of inventors, factory owners, railway workers and train conductors, so that the all-in-one machine can become a steam engine that government and enterprise AI expects.
This article will talk about how IT vendors should make a difference regarding DeepSeek all-in-one machines.
With DeepSeek’s all-in-one machine, what has changed? We can think of this as a competition between Watt steam engines and Newcomen steam engines.
The Newcomen steam engine appeared earlier, but before Watt’s improvement, it was not efficient and could not be used on a large scale. The Watt steam engine has greatly improved the power efficiency, allowing steam engines to be used in many fields such as textiles, mining, and transportation, promoting the scale and efficiency of industrial production-DeepSeek is the “Watt moment” of the AI all-in-one machine.
First, DeepSeek has caused the demand for large models between government and enterprises to surge.Due to data privacy, there has always been a need for local deployment of AI in government and enterprises. After the explosion of ChatGPT, large-scale all-in-one machines were pushed to the government and enterprise market by IT manufacturers to solve problems such as insufficient training computing power and data leakage prevention. DeepSeek’s excellent performance has caused a surge in demand for government and enterprises to introduce DeepSeek. There is an urgent need for stable and highly available solutions. Purchasing all-in-one machines to use DeepSeek has naturally become the first choice.
Second, DeepSeek has increased the input-output ratio of privatization deployment.Previously, the large parameters, large data, and high computing power consumption of large models such as GPT-4 resulted in large investment and uncertain returns for local deployment. The economic value of the all-in-one machine was not high, which discouraged many small and medium-sized enterprises. As for the full-blooded version of DeepSeek, a single machine can complete real-time reasoning, and can also avoid the possibility of charging for future models. The return on investment ratio of choosing an all-in-one machine is significantly enhanced.
In addition, government and enterprises also have a realistic consideration, using the DeepSeek all-in-one machine to reduce their reliance on the cloud.
Previously, if companies wanted to use high-quality large models, they basically had to go through the cloud. In particular, small, medium and micro enterprises are more willing to choose the cloud +API method to introduce AI, pay flexibly on demand, and avoid the high initial investment in purchasing all-in-one machines and building computing power clusters.
However, there are also some limitations on using AI in the cloud. For example, if they want to be deeply bound to the cloud ecosystem, companies will feel that they are not free enough and have less options; then there are many service charging items, and the tokens to call cloud APIs on a large scale are also consumed. There are also other expenses such as subscription fees, cloud storage, and MaaS service fees, which cost no less money when calculating the general ledger. Moreover, the real-time reasoning of large models is highly dependent on the reliability and stability of cloud services. Once cloud services are down or busy, the enterprise’s “IQ” will be dropped along with it.
The open-source DeepSeek is not inferior to the closed-source large model of cloud manufacturers in terms of performance. It can be used directly. Combined with the local computing power of the all-in-one machine, government and enterprises can circumvent various restrictions on accessing the cloud and easily combine private data Fine Tune. The large model can use it as you want without worries.
In this context, DeepSeek is equivalent to Watt’s improved steam engine to an all-in-one machine, and has since entered a new stage of practicality and commercialization.
In the position grab game of “Everyone distributes DeepSeek all-in-one machines, so will I distribute them”, calm down and think about it, is DeepSeek enough to sell all-in-one machines?
Imagine a factory full of textile machines driven by steam engines, but workers cannot use them, daily management is not in place, and there is no subsequent railway to transport the cloth out. Even if there is advanced machinery, it will not be able to improve the productivity of the enterprise.
In the same way, government and enterprise customers who want to make good use of DeepSeek in their business need not only a few all-in-one machines, but also a series of capabilities such as computing power management and scheduling platforms, AI development tools, and operation and maintenance services to work together.This means that IT vendors not only have to “sell shovels”, but also have to work hard in other aspects to truly put big models such as DeepSeek into the business scenarios of government and enterprise customers.
Combined with the steps of government and enterprises using the large model, IT vendors selling DeepSeek all-in-one machines must not have shortcomings in capabilities other than algorithms.
Ability 1: High computing power utilization.
The threshold for DeepSeek to enter government and enterprises is first of all computing power. As an reasoning model, DeepSeek’s real-time reasoning not only requires using fewer machines to improve resource utilization and computing efficiency, but also optimizes reasoning speed and shortens computing time.
At present, DeepSeek all-in-one machines built based on domestic chips such as Huawei Shengteng, Haiguang, and Baidu Kunlun Core have optimized inference performance. The Xirang intelligent computing all-in-one machine launched by China Telecom is based on Huawei Shengteng. With the help of its self-developed inference acceleration engine, DeepSeek’s performance is maximized. The Inspur Yuannao R1 inference server supports the Kunlun Core computing power chip and carries out in-depth optimization to solve the resource bottleneck problem of the DeepSeek R1 671B model during deployment and significantly improve inference efficiency.
In addition to Shengteng and Kunlun, most domestic AI chips support all-in-one machines in a mixed and heterogeneous manner. Therefore, many manufacturers also have the technical ability to adapt heterogeneous computing power. For example, IT giants Lenovo, Xinhua III, and Zhongke Shuguang all provide unified heterogeneous intelligent computing reasoning services and solutions. New service providers such as Jingdong Cloud, China’s DeepSeek all-in-one machine also supports Huawei Shengteng, Haiguang, Cambrian, Moore Thread, Tiantian Smart Core and other domestic chips. China Unicom is also based on Unicom Cloud’s “Star Luo” advanced computing power scheduling platform, allowing the DeepSeek all-in-one machine to be deeply adapted to domestic computing chips.
In general, instead of simply stacking computing power, it supports multiple manufacturers and multiple models of GPU/NPU computing power resources, including domestic products, to fully release inference performance and become a necessary condition for IT manufacturers to sell DeepSeek all-in-one machines.
Ability 2: Full stack of tools.
When DeepSeek implements government and enterprises, it also needs to integrate proprietary data, industry knowledge, etc. for fine-tuning. At this time, it needs convenient tools.
Huawei Shengteng DeepSeek All-in-One machine integrates Huawei’s DCS AI full-stack solution and built-in Huawei’s full-stack AI capabilities. It provides a tool chain ModelEngine covering the entire process of data engineering, knowledge refinement, deployment, and tuning, reducing the number of government and enterprises. The cumbersome adaptation work in model docking allows DeepSeek to be quickly used.
DeepSeek is excellent, but the evolution speed of large models is also very fast, making the AI all-in-one machine evolvable and reducing the comprehensive use cost of government and enterprise AI. Therefore, it is also important to support diversified large models.
At present, the DeepSeek all-in-one machines of mainstream manufacturers have the attitude of “one sheep is driven, and two sheep are released”, and a number of mainstream large models are preset at the same time. Zhongke Shuguang’s hyper-converged all-in-one machine is not only fully adapted to series models such as DeepSeek V3, DeepSeek R1 and DeepSeek Janus Pro, but is also compatible with mainstream open source models such as Qwen2.5, LLama3.2, and ChatGLM, flexibly supporting the diversified business needs of government and enterprises.
Ability 3: High efficiency in delivery.
As all walks of life are rushing to implement DeepSeek, the all-in-one machine must solve the dilemma of “long launch cycle and low deployment efficiency.” With the efforts of mainstream IT manufacturers, government and enterprises can basically achieve “check-in” when deploying DeepSeek all-in-one machines.
Xinsion is based on the DeepSeek all-in-one machine built by Huawei Tengteng. It is preset with the full range of DeepSeek models and the latest 100+ models. Government and enterprise customers do not need to invest a lot of time and energy in technical preparation, and can deploy and schedule with one click. Ningchang DeepSeek’s large-scale model all-in-one solution is pre-installed with computing power clusters, network and security components, turning DeepSeek’s complex deployment process into a “turnkey project”, reducing the deployment cycle of government and enterprises and reducing time costs. Inspur Information’s meta-brain R1 inference server supports rapid adaptation of intelligent customer service to scenarios such as dialogue, text analysis, industrial quality inspection, and medical image recognition. Enterprises do not need to explore from scratch, significantly shortening the AI application launch cycle.
IT vendors deliver efficiently and innovate government and enterprise businesses one step faster, which is very attractive to companies in various industries competing for DeepSeek hotspots.
The above capabilities, together with the DeepSeek all-in-one machine, make AI ready to be used and add value after use, truly providing an efficient, reliable, and cost-effective intelligent upgrade path for government and enterprises.
With the implementation of stand-alone deployment of DeepSeek’s full-blood model, the marginal cost of enterprise AI applications has dropped to 0.03 yuan/thousand tokens, truly opening the era of AI inclusiveness.
From this perspective, the DeepSeek all-in-one machine is the beginning of technological equality, allowing government and enterprises to break through many problems such as computing power constraints, cloud ecosystem bundling, and local deployment difficulties. It embraces advanced algorithm models as soon as possible and puts the latest and best intelligence into its own production scenarios.
It can be said that the DeepSeek all-in-one machine is a shortcut to the intelligence of government and enterprises. But from another perspective, AI algorithms and computing infrastructure will not jump into governments, factories, schools, and banks by themselves… There is actually no shortcut to let AI fall into reality, but a path that gradually becomes clear over the long river of time. The road to domestic intelligent computing.
from the supply sideWithout the long-term efforts of Huawei Shengteng, Baidu Kunlun, Haiguang DCU and other national cores, and without Inspur Information, Lenovo, and Xinhua III to build heterogeneous smart computing platforms, today’s DeepSeek all-in-one machine can only rely on overseas computing power, and it is almost impossible to fully localize it;
from the demand sideWithout years of intelligent exploration by government and enterprises and the high acceptance of DeepSeek by various industries, it would be impossible for DeepSeek all-in-one machines to achieve an explosion in market demand within half a month. Let companies that have deployed all-in-one machines continue to make great progress, and let companies that have previously chosen cloud-based AI re-examine their strategies.
Along the way in Smart China, AI has become a real productivity in various industries. Only then can we quickly gather domestic smart computing power and ripen the DeepSeek all-in-one machine, like a steam engine, which can be applied with low barriers and high efficiency. A productivity base for thousands of industries.
From this perspective, the intensive eruption of DeepSeek all-in-one machines is not a hot spot chase, but a confluence of domestic open source algorithms and domestic smart computing, which responds to the needs of the times.
As the tide of GPT and DeepSeek recedes, new models will come again. Domestic smart computing without shortcomings supports the core product value of the AI all-in-one machine and promotes the continuous evolution of the steam engine indispensable for the fourth industrial revolution.
