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November 21, 2025
All Nvidia GPUs sold out, network chips sold out, market value skyrocketed
The revenue and upcoming sales of chip giant Nvidia have exceeded Wall Street's expectations, easing investors' concerns about market turbulence caused by massive spending in the field of artificial intelligence (AI). The company's quarterly financial report released on Wednesday showed that revenue surged 62% to $57 billion in the three months ending in October, mainly due to the increasing demand for its chips in artificial intelligence data centers. The sales of this department increased by 66%, exceeding $51 billion. Reaching $51.2 billion, easily exceeding analysts' previous expectations of $49.09 billion, a 25% increase from the previous quarter and a 66% increase from the same period last year. The remaining $6.8 billion in revenue comes from Nvidia's gaming business ($4.2 billion), followed by sales in the professional visualization and automotive sectors. According to the Generally Accepted Accounting Principles (GAAP) in the United States, the company's net profit was $32 billion, a year-on-year increase of 65%. Both revenue and profit exceeded Wall Street's expectations.   Nvidia stated that most of the growth was driven by initial sales of its GB300 chips. The network business, even components that can work together like a computer with dozens of GPUs, contributed $8.2 billion in sales to data centers. Nvidia Chief Financial Officer Colette Kress stated in a statement that the company's best-selling chip series is now the Blackwell Ultra, which is the second generation version of the company's Blackwell chips. In a statement to shareholders, Nvidia Chief Financial Officer Colette Kress pointed out that the accelerated development of computing power, powerful AI models, and the rise of intelligent agent applications have driven the growth of the company's data center business. Kress stated during the company's third quarter earnings conference call that last quarter, the company announced an AI factory and infrastructure project with a total of 5 million GPUs. Kress said, "This demand covers all markets, including cloud service providers, sovereign states, modern construction enterprises, and supercomputing centers, and includes multiple iconic construction projects Blackwell Ultra GPU was released in March, offering a variety of configuration options and performing particularly strongly. It has now become the leading product within the company. According to the company, previous versions of the Blackwell architecture have also maintained strong demand. Nvidia stated that it expects sales for this quarter to be around $65 billion, compared to analysts' previous expectations of $61.66 billion. The company stated that its net profit for this quarter increased by 65% to $31.91 billion, or $1.30 per share, compared to $19.31 billion, or 78 cents per share, in the same period last year. Nvidia is the world's most valuable company and is seen as a barometer of the prosperity of artificial intelligence. The performance of this chip manufacturer may affect market sentiment. CEO Huang Renxun stated in a statement that the sales of his artificial intelligence Blackwell system "far exceeded expectations" and that "cloud GPUs (graphics processing units) are sold out". Huang Renxun stated in the company's third quarter financial report that "Blackwell's sales far exceeded expectations, and the cloud GPU has also been sold out. The demand for computing continues to accelerate exponentially in terms of training and reasoning. We have entered a virtuous cycle of artificial intelligence. The artificial intelligence ecosystem is rapidly expanding - with more new foundational model builders emerging, more AI startups covering more industries and countries. Artificial intelligence is ubiquitous and capable of anything. ” "There are many opinions about the artificial intelligence foam. But from our perspective, what we see is quite different," he said in a conference call with analysts. We have performed excellently in all stages of artificial intelligence He has stated that people's willingness to pay for artificial intelligence tools indicates that the technology is "profitable," even though most tech companies are now reinvesting the money they make in new infrastructure. Due to growing concerns about overvaluation of artificial intelligence stocks, the quarterly report of this chip manufacturer has attracted more attention on Wall Street than ever before. Due to concerns about the return on investment in artificial intelligence, the S&P 500 index fell for four consecutive days before Wednesday. Before Nvidia released its performance, people had high expectations for its performance. LPL Financial's Chief Technology Strategist Adam Turnquist stated that the question is not whether the company will exceed expectations, but rather how much it will exceed. Despite artificial intelligence valuation dominating the headlines, Nvidia continues to conduct its business in an elegant manner, "said Matt Blitzman, a senior stock analyst at Hargreaves Lance. He said that the valuation of certain areas in the field of artificial intelligence "needs to take a breath, but Nvidia does not belong to this category". Huang Renxun previously stated that he expects artificial intelligence chip orders to reach $500 billion by next year. Investors are paying attention to when the company expects to achieve these revenues and how to fulfill these orders. Nvidia Chief Financial Officer Colette Kress told analysts that the company "may" take on more orders than the $500 billion already announced. During the earnings conference call, she also creatively listed the highlights of recent financial reports from chip manufacturer partners, emphasizing that artificial intelligence is bringing returns to the company. For example, she mentioned that Meta's artificial intelligence recommendation system allows users to "spend more time on apps like Facebook and Threads"; Anthropic recently announced that it expects its annual revenue to reach $7 billion this year; Salesforce's engineering team has improved efficiency by 30% since using artificial intelligence for coding. She also cited a series of examples of corporate clients. But she also expressed disappointment with regulatory restrictions that hinder the company from exporting chips to China, saying that the United States "must win the support of every developer, including Chinese developers". Kress stated on the earnings conference call, "Due to geopolitical issues and increasingly fierce competition in the Chinese market, we were unable to secure large purchase orders this quarter. Although we are disappointed with the current situation that is hindering our ability to export more competitive data center computing products to China, we are committed to continuing to communicate with the governments of the United States and China, and will continue to advocate for enhancing the United States' competitiveness globally Tech giants are increasing their investment in artificial intelligence, competing to profit from the boom that has driven stock prices to historic highs. The financial reports released by Meta, Alphabet, and Microsoft last month once again confirmed that these companies have invested huge amounts of money in various aspects from data centers to chips. Sundar Pichai, CEO of Alphabet, the parent company of Google, also stated that although the growth of AI investment is an "extraordinary moment," there are also some "irrational" factors in the current AI boom. His remarks were made at a time when other industry leaders were issuing warnings. The chips produced by NVIDIA are crucial for artificial intelligence data centers, as it has entered into a series of deals with key players in the field of artificial intelligence such as OpenAI, Anthropic, and xAI, with NVIDIA being at the core of these deals. These transactions have attracted much attention due to their cyclical nature, as mutual investments between artificial intelligence companies are increasing. These agreements include Nvidia investing $100 billion in OpenAI (the company behind ChatGPT).
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  • November 18, 2025
    DRAM has gone crazy
    The expansion of global investment in artificial intelligence (AI) has exacerbated the shortage of semiconductor DRAM, and price negotiations, previously conducted monthly or quarterly, are now shifting towards long-term supply contracts of six months or longer. Demand-side companies are also actively responding to six-month contracts as a severe DRAM supply shortage is expected to continue driving up prices next year. The market is even beginning to discuss supply contracts for 2027, as securing supply next year is becoming increasingly difficult.   On November 17th, a semiconductor industry insider explained, "The DRAM market has shifted to a long-term contract-driven market," adding, "The purchasing demand generated by this situation is stronger than the supercycle market of 2017." DRAM serves as temporary data storage, enabling central processing units (CPUs) and graphics processing units (GPUs) to process information quickly.   With the emergence of large language model (LLM) AI such as ChatGPT, the role of GPUs is becoming increasingly prominent. To support these models, memory semiconductors, including high-bandwidth memory (HBM) that employs multi-layered stacked DRAM, are facing supply shortages. A prime example is that major US tech companies, including NVIDIA, the world's largest AI semiconductor company, have secured HBM chips from SK Hynix and Samsung Electronics through long-term annual contracts.   However, recently, not only is there a shortage of HBM memory, but general-purpose DRAM is also facing supply shortages. This is because with OpenAI and Meta announcing AI infrastructure investment plans worth hundreds of billions of won, and with major companies and governments worldwide building data centers for their AI research, demand for general-purpose DRAM, including Double Data Rate (DDR), Graphics (G) DDR, and Low Power (LP) DDR, has surged. While general-purpose DRAM has lower performance than HBM, it is crucial for AI inference and computing.   According to industry insiders, DRAM demand is growing significantly, primarily concentrated in US and Chinese companies. In particular, Samsung Electronics and SK Hynix are reportedly signing six-month contracts with major demanders for supplies next year.   Typically, semiconductor DRAM supply contracts are signed monthly, with a fixed price each month, and then the product price is adjusted according to market prices. However, starting in the second half of this year, with the surge in semiconductor DRAM demand, contract cycles are shifting from quarterly contracts to six-month or longer supply contracts. This is because demanders are not only willing to offer prices higher than market rates, but also want to sign supply guarantee contracts for at least six months.   In fact, DRAM market sales are declining rapidly. Samsung Electronics' semiconductor division (DS) had finished goods inventory assets of 3.404 trillion won at the end of the third quarter, a 14.6% decrease (580.4 billion won) from the previous quarter. SK Hynix's inventory is also declining. The company's finished goods inventory assets in the third quarter of this year were 2.152 trillion won, a decrease of 368.9 billion won from the end of last year.   Due to the DRAM shortage, market discussions have even extended to supply contracts for 2027. SK Hynix has already secured all DRAM supply contracts for next year and is currently negotiating supply for 2027. With SK Hynix's DRAM sold out, demanders, including major global technology companies, are turning to Samsung Electronics. However, Samsung Electronics has already signed supply contracts for most of next year's production. With surging demand, Samsung Electronics is even discussing plans to raise DRAM supply prices by more than 40%.   Industry insiders predict that the super-cyclical performance of Samsung Electronics and SK Hynix will continue until at least 2027 as the DRAM market shifts towards long-term supply contracts. When manufacturers have more long-term supply contracts, production planning, including production costs and distribution, will become easier, and profits will increase accordingly. One industry insider explained, "Prices have risen again because semiconductor contracts that were originally signed monthly or quarterly are now renewed semi-annually." He added, "By 2027, long-term supply contract prices will be higher than current levels, further enhancing profitability." Distributors Unprecedentedly Mandate Bundling of Memory and Motherboards   According to Taiwan's *Economic Daily News*, a severe global shortage of DRAM memory has led some Taiwanese distributors to impose unprecedented bundling requirements on buyers. The report states that some channels now require customers to purchase motherboards and DRAM memory modules in a 1:1 ratio, or risk being unable to purchase memory at all.   This allocation control method is reportedly unprecedented in the DRAM industry. Distributors appear to be using the high demand for memory modules to boost motherboard sales, a strategy more common in the tight-supply consumer electronics market than in the hardware sector. ASUS, Gigabyte, MSI, and Chinese motherboard manufacturer Chaintech are reportedly direct beneficiaries of this practice.   Taipei-based financial analyst Dan Nystedt, known for translating and tracking Taiwanese tech industry media, relayed this news in a post on X, noting that the bundled sales policy "triggered a surge in motherboard sales."   Ultimately, this all reflects the rapid changes in the memory market since the beginning of the year. DRAM contract prices are currently up approximately 170% year-over-year, primarily driven by demand from AI server manufacturers. TrendForce recently raised its Q4 DRAM market growth forecast to 18%-23% quarter-over-quarter.   On the client side, mini-PC maker Minisforum recently increased prices for pre-installed configurations that include both DRAM and SSDs, while keeping prices for basic SKUs unchanged. The company explicitly stated that this move was due to a "significant increase" in its overall costs.   While the bundled sales strategy described in Taiwanese media currently appears to be limited to the Taiwanese market, it illustrates that the distribution of DRAM throughout the supply chain is tightening.   The report also notes that downstream buyers may face new hurdles as hyperscale data center and smartphone manufacturers continue to capture the majority of available capacity. Morgan Stanley Downgrades Ratings for Major OEMs   The continued DRAM memory shortage and price doubling or even more in recent weeks pose a significant challenge to potential PC assemblers and could lead to sustained price increases for computers and electronic devices for at least the next few years. According to X posts by @juklanosreeve (Jukan), Morgan Stanley market analysts believe even large manufacturers and integrators will be impacted, and have even downgraded their stock investment recommendations for some companies.   For reference, Morgan Stanley uses three ratings for stock performance forecasts: OW (Overweight, or Good), EW (Neutral, or Neutral), and UW (Underweight). Dell's rating was reportedly downgraded significantly from OW to UW, while HP, ASUS, and Pegatron were downgraded from EW to OW.   Other OEMs like Acer and Compal, already manufacturers of ultrawide devices, have also seen their target prices lowered by approximately 20% by Morgan Stanley. Dell faces harsher forecasts than other companies because it sells a large volume of servers, which typically consume significant amounts of memory.   In another chart, Microsoft estimates that memory costs account for 40% of the bill of materials (BOM) for high-end servers. General-purpose servers far fare similarly at 30%. Standard PCs and “AI” PCs (whatever the definition of “AI” today) account for 20% and 15% of the BOM, respectively.   If you're wondering why Apple is still rated OW, Jukan suggests that the Cupertino giant made large purchases before the full-blown DRAM shortage and also had a long-term agreement with Kioxia, presumably for which Kioxia produced some of its DRAM.   Given Apple's past experience in handling such crises and its consistent proactive approach, Jukan's speculation may not be unfounded. It's not hard to predict that even if prices for Macs, iPads, and iPhones rise, the increase will likely be small, and ample supply will remain in the short term.   Morgan Stanley seems to believe that original equipment manufacturers (OEMs/ODMs) are likely to absorb some of the DRAM costs themselves, thus reducing profit margins, rather than passing all the costs on to customers. This perhaps best illustrates just how serious the crisis truly is.
  • November 14, 2025
    AMD announces a major acquisition!
    On November 11, semiconductor giant AMD announced the completion of its acquisition of MK1, an American AI inference startup. This deal marks AMD's further expansion in the AI field, aiming to enhance its capabilities in high-speed inference and enterprise-grade AI software stacks.     According to reports, MK1 is led by Paul Merolla, co-founder of Neuralink, whose team possesses deep technical expertise in AI inference technology. Merolla previously assisted in leading chip design efforts at Neuralink and developed algorithms capable of decoding brain activity. Other members of MK1 also come from renowned companies such as Neuralink, Meta, Tesla, and Apple. MK1's Flywheel technology is optimized for AMD hardware and currently processes over 1 trillion tokens daily.   Merolla stated that joining AMD is the right next step for MK1's technology and mission, as AMD's resources and platform will enable MK1 to achieve larger-scale deployment and development. MK1's technology is closely integrated with the memory architecture of AMD Instinct GPUs, delivering precise, cost-effective, and fully traceable inference capabilities.   This acquisition is one of the key initiatives for AMD to advance its broader AI strategy. Recently, AMD has been active in the AI field, continuously enhancing its software capabilities through multiple acquisitions. In August of last year, AMD spent $4.9 billion to acquire server manufacturer ZT Systems, accelerating the development of rack-level systems based on Instinct GPUs. In October of this year, AMD sold ZT Systems' manufacturing division to Sanmina for $3 billion, while retaining its design and support teams.   In addition, AMD has also invested $36 million in several other acquisitions this year, including the purchase of silicon photonics chip startup Enosemi, the employee team of Canadian AI inference chip startup Untether AI, and compiler startup Brium.   According to the latest financial report, AMD's revenue in the third quarter reached $9.25 billion, up 36% year-on-year, with a net profit of $1.2 billion, up 61% year-on-year. The company forecasts a mid-point revenue of $9.6 billion for the fourth quarter, exceeding market expectations. AMD also mentioned its collaboration with OpenAI for 600 gigawatts of computing power, with the deployment of the first 100 gigawatts of AMD Instinct MI450 GPUs set to begin in the second half of 2026. CEO Lisa Su revealed that AMD expects sufficient supply capacity in 2027 and 2028, with AI business revenue projected to reach tens of billions of dollars in 2027.   So far this year, AMD's stock price has doubled, reaching $243.98 per share, with a total market capitalization of $397.2 billion. AMD's sustained investment and strategic positioning in the AI sector are delivering significant market returns and growth potential.

Frequently Asked Questions

Question: How do you ensure the quality of the domestic chips you distribute?

Answer: We work with chip manufacturers that have strict quality control systems in place. All chips undergo multiple rounds of testing at the manufacturing stage, including electrical performance testing, reliability testing, and environmental testing. Before delivery, we also conduct sampling inspections to ensure that the products meet our quality standards. Additionally, we offer a quality guarantee period during which we will handle any quality-related issues promptly.

Question: What does the warranty policy for your domestic chips cover?

Answer: Our domestic chips come with a standard warranty period. During this time, if the chip fails due to manufacturing defects, we will provide free repair or replacement services. The warranty does not cover damages caused by improper use, unauthorized modifications, or external factors such as electrical surges or physical damage. To initiate a warranty claim, please contact our customer service team and provide detailed information about the problem and the chip's serial number.

Question: What kind of technical support can I get from you after purchasing your chips?

Answer: Our technical support team consists of experienced engineers who are proficient in chip technology. We offer pre-sales technical consultation to help you select the most suitable chips for your applications. After-sales, we provide assistance in chip integration, debugging, and performance optimization. You can reach out to our technical support hotline or email for any technical issues, and we will respond promptly.

Question: How can I be sure that your domestic chips are compatible with the existing systems and components in my project?
Answer: Our domestic chips are designed with broad compatibility in mind. Before you make a purchase, our technical team can offer in-depth consultations. We will analyze your specific system requirements, including interface types, power consumption, and operating frequencies, and then recommend the most suitable chips. Additionally, we have a library of technical documentation and case studies that showcase successful integrations with a wide range of systems and components, which can help you assess compatibility.
Question: How can I ensure a stable supply of your domestic chips, especially during peak demand periods?

Answer: We maintain close partnerships with multiple domestic chip manufacturers. Through long-term cooperation agreements and inventory management strategies, we strive to meet the demand of our customers. We also closely monitor market trends and adjust our procurement plans in advance to ensure a stable supply. In case of unexpected situations, we will promptly communicate with you and provide alternative solutions.

Latest know-How Articles

Blog Continental Group collaborates with Novesense to create safer automotive pressure sensor chips
Continental Group collaborates with Novesense to create safer automotive pressure sensor chips   On October 24, 2024, the 2024 Continental China Experience Day, hosted by Continental Group, was held in Gaoyou City, Jiangsu Province. Nearly 200 guests from the upstream and downstream of the automotive industry chain were invited to attend the conference and engage in in-depth dialogue on the collaborative development and future trends of the automotive industry, jointly exploring future market forms and opportunities. Wang Shengyang, founder, chairman, and CEO of Novosense, and Dr. Zhao Jia, director of Novosense Sensor Product Line, were invited to attend. During the event, Novosense and Continental Group announced a strategic partnership to jointly develop automotive pressure sensor chips.   In this collaboration, both parties will focus on jointly developing automotive grade pressure sensor chips with functional safety features. The newly developed pressure sensor chip will be based on Continental's next-generation global platform, with a focus on improving reliability and accuracy. It can be used to achieve safer and more reliable systems for automotive airbags, side collision monitoring, and battery pack collision monitoring.
Blog ovosense micro car specification level 4/8-way half bridge drive NSD360x-Q1
Novosense micro car specification level 4/8-way half bridge drive NSD360x-Q1: multi load compatibility, enhancing the flexibility of automotive domain control systems     The Novosense NSD3604/8-Q1 series multi-channel half bridge gate driver chip covers 4/8 half bridge drivers and can drive at least 4 DC brushed motors, achieving multi-channel high current motor driving. It can also be used as a multi-channel high side switch driver. Very suitable for multi motor or multi load applications, such as car window lifting, electric seats, door locks, electric tailgates, and proportional valves for body control applications.     ◆ Wide operating voltage: 4.9V-37V (maximum 40V) ◆ 4, 8-channel half bridge gate drive ◆ Configurable timing charge discharge current drive (CCPD), optimized EMC performance ◆ Integrated 2-level charge pump for 100% PWM ◆ Integrated 2-channel programmable wide mode op amp  
Blog National Technology Invited to Participate in 2024 Intel
Draw a blueprint together! National Technology Invited to Participate in 2024 Intel ®  LOEM Summit November 5-7, 2024, Intel 2024 ®  The LOEM Summit was grandly held in Bangkok, Thailand, and National Technology Co., Ltd. (hereinafter referred to as "National Technology"), as Intel's global partner, was invited to participate in the summit. This summit provides an important platform for 200 Intel business partners from around the world to enhance communication and connection, share development experiences, and actively explore new opportunities in the future. Taking this opportunity, National Technology showcased its fourth generation trusted computing chip NS350, high-precision metering battery management chip NB401, and related application cases at the summit, showcasing its product capabilities.   NS350 is the fourth generation trusted computing chip of National Technology, which has advantages such as high security, high performance, and great value. It is designed based on 40nm process, supports I2C and SPI interfaces, and provides packaging forms such as QFN32 and QFN16. It complies with China's TCM2.0 trusted password module standard (GM/T 0012-2020) and the international TPM2.0 (Spec 1.59) trusted computing standard. The chip has passed the CC security function testing and security assurance assessment by the international third-party authoritative testing agency THALES/CNES, and has obtained the CC EAL4+certification certificate issued by the French National Agency for Information Systems Security (ANSSI). The chip is compatible with international mainstream operating systems such as Windows, Linux, BSD UNIX, as well as domestic operating systems such as Galaxy Kirin, Tongxin, Fangde, and Shenzhou NetEase Government Edition Windows. It can be used in fields such as PC, server platforms, and embedded systems to protect information system security and effectively resist various attacks from the network. The national technology collaborative negative electrode material business develops electrochemical battery measurement algorithms, with core technological advantages supporting battery safety measurement and industry-leading high-precision SOC measurement algorithms. It provides AFE, MCU, BMS, and algorithm overall solutions for the consumer, industrial, and automotive electronics fields.   NB401 is a high-precision metering battery management chip launched by National Technology for the consumer market. The product integrates a high-precision power calculation method and has multiple functions such as battery monitoring, metering, protection, and certification. It can support the management and metering of 2-4 series of lithium-ion batteries or lithium polymer batteries. The chip integrates two 16 bit high-precision ADCs for voltage (or temperature) and current acquisition, as well as hardware protection and wake-up functions. It supports SMBus communication, intelligent charging management, and multiple safety certifications, with ultra-low power consumption characteristics, which can meet the needs of most battery management or metering applications in the consumer electronics field. It is suitable for battery pack applications in electronic devices such as laptops, tablets, mobile phones, cameras, drones, power tools, and power banks.

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