That Alibaba creates its own chip for AI agents is no surprise. Let it be neither ARM nor x86, but 5nm RISC-V, yes

The Chinese giant Alibaba just announced the launch of its new high-end CPU, the XuanTie C950 processor. Developed by and for AI agents, it is a five-nanometer chip with a speed of 3.2 GHz whose surprise is not in any of these figures. The surprise is in its architecture, which is neither x86 nor ARM, but RISC-V. Therefore, it is not only the most powerful RISC-V processor created to date, but also a declaration of intent that can be summarized in two words: technological sovereignty. What is this chip about?. XuanTie CPUs are developed by Damo Academy, Alibaba’s research division. The previous model, the XuanTie C930, was announced on March 10 as the first server grade processor developed by Alibaba. Just two weeks later, the Chinese company has announced a new chip, the XuanTie C950, which is, according to the firm, three times more powerful than its predecessor (the C920 announced in 2024). Alibaba has not revealed which factory produced it, but it is based on the RISC-V architecturethat its process is five nanometers and that its speed amounts to 3.2 GHz. This launch occurs in a very particular context. Just a few days ago, and in response to the rapid adoption of OpenClaw by local companies, Alibaba Wukong announced.its platform for deploying AI agents in enterprise environments. This chip aims to improve the inference. In other words, the XuanTie C950 will serve to improve the computational process carried out by the language models in order to generate the responses that correspond to the requests they receive. In a context of agents working with files, data, and diverse environments, this is important. Processor prototype based on RISC-V architecture | Image: Wikimedia Commons Why RISC-V? Mainly, because unlike x86 and ARM, RISC-V is open and its use does not imply paying for licenses. According to Alibaba, “RISC-V’s open standard nature allows chip designers to customize instruction sets and accelerate specific AI workloads with little or no licensing costs. This is especially important for the development of AI agents.” Let’s think of RISC-V as what Linux is to Windows and Mac. If a company wants to use x86 (Intel and AMD) or ARM (SoftBank) architectures, it must pay a license. Not only that, but x86 and ARM are exposed to possible restrictions by the United States. With RISC-V, this risk disappears, which is why so much China like the European Union have found in it an escape valve towards sovereignty and technological independence. The surprising thing. That a Chinese company has managed to produce a five-nanometer chip is, to say the least, striking. To manufacture these processors it is necessary to use deep ultraviolet lithography (UVP) and, normally, machinery produced by the Dutch ASML. We know that SMIC (Semiconductor Manufacturing International Corp), the largest Chinese semiconductor manufacturer, had been at least since 2023 developing its own five-nanometer lithography, but with unacceptable results. When a chip wafer is manufactured, it is normal for some of its cores to malfunction. If we talk about profitability, the yield per wafer must be 70%that is, seven out of every ten cores produced work. In the year 2025, the yield of SMIC wafers was at 30%. That today, at the beginning of 2026, we see a five-nanometer chip produced, a priori, in China, would be a punch on the table by the Asian country and a strong sprint in the AI ​​race. However, it does not seem feasible. The other option, and perhaps the most plausible, is that it is not manufactured by SMIC, but by TSMC. SMIC has not managed to manufacture five-nanometer chips using the multiple patterning on your ASML UVP machines. The Taiwanese TSMC does have that capacity and, according to Nikkei Asiawill be the one who manufactures it. Be that as it may, it is a great step for the RISC-V architecture, which has gone from being relegated to small devices to reaching the league of the big ones. Featured image | Alibaba In Xataka | There is a city in China that goes head to head with Silicon Valley: welcome to Hangzhou, the home of the ‘Six Little Dragons’

Nvidia cannot sell her most powerful chips to China for sanctions. So you have found a plan B: Risc-V

Nvidia has announced that Its CUDA platform will be compatible with RISC-V processors. He has done so during the Risc-V Summit in China and the chosen place is not accidental: this announcement clearly points to the Chinese market. For the first time, the technology that allows applications to communicate with the NVIDIA GPUs will be extended beyond ARM and X86, towards an open source architecture. Why is it important. CUDA It is the software that operates the Nvidia’s ecosystem. Without a CUDA, the GPU would lose much of their parallel calculation apacities. That Nvidia opens this technology to RISC-V It means that processors based on this open architecture can now serve as the main CPU in NVIDIA GPU systems. The background. The announcement, in addition to making in China, comes while China is accelerating its efforts to reduce its dependence of western processors. Nvidia can’t sell your most powerful models GB200 and GB300 to China for US sanctions, so in this way finds a way to maintain relevant Cuda in the Chinese market. Between the lines. There is a lot of geopolitical strategy in this decision: NVIDIA has been integrating RISC-V nuclei for years into its own GPU for low-level control tasks. Now it makes the jump to support RISC-V as the main processor. And that responds to a reality: if China is going to develop its own processors using open architectures, Nvidia wants to be there from the beginning. In detail. The configuration shown by NVIDIA shows a heterogeneous system: The GPU handles parallel loads. The RISC-V processor executes the CUDA controllers and the application logic. And a DPU manages network tasks. This architecture allows you to orchestrate GPU computations completely within the CUDA environment, something impossible so far with RISC-V. Deepen. Historically, Nvidia has behaved Cuda to each important architecture: X86, ARM, PowerPC and even Sparc de Sun. The company understands that it must be present from the first day on any platform that can take off in the business sector. With a value already exceeding 4 billion dollarsNvidia can afford to bet on all promising architectures. And now the movement positions RISC-V as a viable alternative for future designs of AI processors and high performance computing. If the stars align, other manufacturers could follow the example of Nvidia. And that would accelerate the adoption of RISC-V in data centers beyond China. Outstanding image | Wikimedia Commons In Xataka | On his way to the authentic quantum supremacy, China has set an objective: a “real” quantum computer before 2030

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