In the past two weeks, 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 Ascend, Inspur, Inspur, Inspur, Lenovo, and H3H3 have intensively launched DeepSeek all-in-one machines that are adapted to full models. The product release speed is unprecedented.
A steam engine roared, and the world entered the industrial age from then on. So, does it mean that government and enterprise customers buy an all-in-one machine and press the boot button mean that they enter 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, laying train tracks, the development of textile industry, and the emergence of the working class, which led to a vigorous industrial revolution. .
After the deployment of DeepSeek all-in-one machine, government and enterprises began to touch the deep water zone - how to compatible heterogeneous computing power? How to combine 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 collides with the intelligent transformation of government and enterprises, IT manufacturers must play the role of inventors, factory owners, railway workers and train conductors at the same time, so that the all-in-one aircraft can become a steam engine that government and enterprise AI is expected.
This article will talk about how IT manufacturers should make a difference about DeepSeek all-in-one machine.
With DeepSeek's all-in-one machine, what has changed? We can think of this as a competition for Watt Steam Engine PK Newcommen Steam Engine.
The Newcomer steam engine appeared earlier, but before Watt was improved, it was not efficient and could not be applied on a large scale. The Watt steam engine has greatly improved the power efficiency, allowing the steam engine to be applied to multiple fields such as textiles, mining, and transportation, and promoted the scale and efficiency of industrial production - DeepSeek is the "Watt Moment" of AI all-in-one machines.
As a result, DeepSeek has caused the demand for big models from governments and enterprises to soar. Due to data privacy, the need for government and enterprises to deploy AI locally has always existed. After ChatGPT became popular, the big model all-in-one machine was pushed into the government and enterprise market by IT manufacturers to solve problems such as insufficient training computing power and data leakage prevention and failure to leave the domain. DeepSeek's excellent performance has caused the government and enterprises to introduce DeepSeek to explode, and it is urgent to need stable and highly available solutions. Using DeepSeek through procurement of all-in-one machines is naturally the first choice.
Secondly, DeepSeek has increased the input-output ratio of privatized deployments. Previously, the ultra-large parameters, ultra-large data, and ultra-high computing power consumption of large models such as GPT-4 led to large investment in local deployment and uncertain returns. The economic value of all-in-one machines was not high, which discouraged many small and medium-sized enterprises. The full-blooded version of DeepSeek can complete real-time inference with a single machine, and can also avoid the possibility of future model charging. The return on investment ratio of choosing an all-in-one machine is significantly enhanced.
In addition, government and enterprises have another realityConsidering the fact that DeepSeek all-in-one machine reduces dependence on the cloud.
Previously, if companies wanted to use high-quality large models, they basically had to go through the cloud. Especially small and medium-sized enterprises, they are more willing to choose the cloud + API method to introduce AI, pay flexibly on demand, and avoid the initial high investment in purchasing all-in-one machines and self-built computing power clusters.
But there are some restrictions on using AI on the cloud, such as in-depth binding to the cloud ecosystem, enterprises will feel that they are not free enough and have less choices; then there are more service charges, and large-scale calls to cloud APIs are called. Tokens consumes a lot, and there are other expenses such as subscription fees, cloud storage, MaaS service fees, etc., which cost a lot of money once you calculate the total account. Moreover, the real-time reasoning of large models is highly dependent on the reliability and stability of cloud services. Once the cloud services go down or become busy, the enterprise's "IQ" will be disconnected.
The open source DeepSeek is not inferior to the closed source model of cloud manufacturers in terms of performance. It can be used directly. Combined with the local computing power of all-in-one machines, governments and enterprises can bypass various restrictions on cloud access. , easily combine private data Fine Tune's proprietary big model, use whatever you want, without any worries.
Under this background, DeepSeek's all-in-one machine is equivalent to Watt's improved steam engine, and has since entered a new stage of practicality and commercialization.
In the position-grabbing competition of "Everyone launches DeepSeek all-in-one, then I will also launch it", calm down and think about it, if you sell all-in-one, is it enough to just have DeepSeek?
Imagine that a factory is filled with textile machines powered by steam engines, but the workers do not know how to use it, the daily management is not in place, and there is no railway to transport the cloth out in the future, so even if there are advanced machinery , it cannot improve the productivity of enterprises.
Similarly, if government and enterprise customers want to make good use of DeepSeek in their business, they need not only a few all-in-one machines, but also a series of computing power management and scheduling platforms, AI development tools, operation and maintenance services, etc. ability to work together. This means that IT manufacturers not only have to "sell shovels", but also have to work hard on other links to truly bring big models such as DeepSeek into the business scenarios of government and enterprise customers.
In light of the steps of government and enterprises using big models, IT manufacturers sell DeepSeek all-in-one machines, and there is no shortage in capabilities outside the algorithm.
Ability 1: High computing power utilization rate.
The threshold for DeepSeek to enter government and enterprises is first of all computing power. As an inference model, DeepSeek's real-time inference not only requires fewer machines to improve resource utilization and computing efficiency, but also optimize inference speed and shorten computing time.
At present, the DeepSeek all-in-one machine built on domestic chips such as Huawei Ascend, Haiguang, Baidu Kunlun Chip, etc., has optimized its inference performance. The Xirang intelligent computing all-in-one machine launched by China Telecom is based on Huawei Ascend. With the help of a self-developed inference acceleration engine, DeepSeek's performance is maximized. waveThe Yuannai R1 inference server supports Kunlun core computing power chip and performs deep optimization to solve the resource bottleneck problem of the DeepSeek R1 671B model in deployment, significantly improving the inference efficiency.
Apart from Ascend and Kunlun, most domestic AI chips support all-in-one machines in a hybrid heterogeneous way. Therefore, many manufacturers also have the technical capabilities of heterogeneous computing power adaptation. For example, IT giants Lenovo, H3H3, and Inspur all provide unified heterogeneous intelligent computing inference services and solutions. New service providers such as JD Cloud Its DeepSeek all-in-one machine also supports Huawei Ascend, Haiguang, Cambrian, Moore Thread, Tianshu Intelligent Core and other domestic chips. China Unicom is also based on China Unicom's "Star Luo" advanced computing power scheduling platform, allowing DeepSeek all-in-one machine Deeply adapted to domestic computing power chips.
Overall, it does not engage in simple computing power stacking, but supports multi-manufacturers and multi-model GPU/NPU computing power resources including domestic products, fully releases inference performance, and becomes an integrated sales of DeepSeek by IT manufacturers. necessary conditions for the machine.
Ability 2: Full stacking of tools.
DeepSeek is implemented in government and enterprises, and it also needs to integrate proprietary data, industry knowledge, etc. for fine-tuning. At this time, it is necessary to use handy tools.
Huawei Ascend DeepSeek all-in-one machine integrates Huawei DCS AI full-stack solution and built-in Huawei's full-stack AI capabilities, providing coverage of data engineering, knowledge fine adjustment, deployment, and tuning. The process tool chain ModelEngine reduces the cumbersome adaptation work of government and enterprises in model docking, and quickly uses DeepSeek.
DeepSeek is excellent, but the evolution of large models is also very fast, making AI all-in-one machines evolveable and reducing the comprehensive use cost of government and enterprise AI. Therefore, it is also important to support diversified large models.
The current DeepSeek all-in-one machine of mainstream manufacturers has also pre-installed a number of mainstream models with the attitude of "one sheep is also rushing, two sheep are also putting up." Inspur's hyper-converged all-in-one machine is not only fully adapted to series of 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 diversification of government and enterprises. Business requirements.
Support 3: Delivery high efficiency.
In the context of various industries scrambling to land DeepSeek, all-in-one machines must solve the dilemma of "long online cycle and low deployment efficiency". With the efforts of mainstream IT manufacturers, government and enterprises can basically "moving in with their bags" when deploying DeepSeek all-in-one machines.
Xinference is based on the DeepSeek all-in-one machine created by Huawei Ascend, and has a full range of DeepSeek models and 100+ latest models, so government and enterprise customers do not need to invest a lot of money.We can prepare technically and deploy and schedule with one click. Ningchang DeepSeek's large-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 Yuanwang R1 reasoning server supports the 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, which significantly shortens the online cycle of AI applications.
IT manufacturers deliver efficiently, and government and enterprise business innovation is one step ahead, which is very attractive to enterprises in various industries and industries that compete for DeepSeek hot spots.
The above capabilities, together with the DeepSeek all-in-one machine, make AI easy to use and add value after use, truly providing governments and enterprises with an efficient, reliable, cost-effective intelligent upgrade path.
With the DeepSeek full-blood version model being deployed stand-alone, the marginal cost of enterprise AI applications has dropped to 0.03 yuan/thousand tokens, truly opening up the era of AI inclusiveness.
From this perspective, the DeepSeek all-in-one machine is the beginning of technological equality, allowing governments and enterprises to break through many difficulties such as computing power shackles, cloud ecosystem bundling, local deployment difficulties, and embrace advanced algorithm models as soon as possible. Put the latest and best smart engines into your own production scenario.
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 power infrastructure will not jump to the government, factories, schools, banks by themselves... There is actually no shortcut to let AI fall into reality, but a domestic product that is gradually clear in the long river of time. The road to smart calculation.
From the supply side, there is no long-term effort of domestic chips such as Huawei Ascend, Baidu Kunlun, Haiguang DCU, and no inspur information, Lenovo, and H3D. Today, DeepSeek all-in-one machine It is almost impossible to rely on overseas computing power; it is impossible to produce the country;
From the demand side, without years of intelligent exploration by government and enterprises, and the high acceptance of DeepSeek by various industries, the DeepSeek all-in-one machine cannot achieve the explosion of market demand within half a month. Let enterprises that have deployed all-in-one devices continue to make rapid progress, and let enterprises that have previously chosen cloud AI re-examine their strategies.
Along the way, Intelligent China, AI has become a real productivity in various industries. Only when the market inducement of DeepSeek appears, can we quickly gather the power of domestic intelligent computing and ripen the DeepSeek all-in-one machine, like a steam engine. , becoming a base for productivity in thousands of industries that can be applied with low threshold and high efficiency.
From this perspective, the intensive eruption of DeepSeek all-in-one machines is not about chasing hot spots, but about the storm of domestic open source algorithms and domestic intelligent computing, which meets the needs of the times.
GPT and DeepSeekThe tide of decline is over, and new models will come again. Domestic intelligent computing without shortcomings supports the core product value of AI all-in-one machines and promotes the indispensable steam engine of the Fourth Industrial Revolution to continue to evolve.