Andes Technology, a leading supplier of high efficiency, low-power 32/64-bit RISC-V processor cores and Founding Premier member of RISC-V International, today proudly announces general availability of the high-performance AndesCore AX45MPV multicore vector processor IP. The AX45MPV is the third generation of the award winning AndesCore vector processor series. Equipped with powerful RISC-V vector processing and parallel execution capability, it targets the applications with large volumes of data such as ADAS, AI inference and training, AR/VR, multimedia, robotics, and signal processing.

Andes and Meta started collaboration on datacenter AI with RISC-V vector core from early 2019. Andes later unveiled the AndesCore NX27V, marking a significant milestone as the industry's first commercial RISC-V vector processor core with the capability of generating up to 4 512-bit vector (VLEN) results per cycle, at the end of 2019. It immediately attracted the attention of worldwide SoC design teams working on AI accelerators, and has landed over a dozen datacenter AI projects. Since then, the RISC-V vector processor cores have become the choice for ML and AI chip vendors.

According to Business Insider, Twitter has made a substantial investment into hardware upgrades at its North American datacenter operation. The company has purchased somewhere in the region of 10,000 GPUs - destined for the social media giant's two remaining datacenter locations. Insider sources claim that Elon Musk has committed to a large language model (LLM) project, in an effort to rival OpenAI's ChatGPT system. The GPUs will not provide much computational value in the current/normal day-to-day tasks at Twitter - the source reckons that the extra processing power will be utilized for deep learning purposes.

Twitter has not revealed any concrete plans for its relatively new in-house artificial intelligence project but something was afoot when, earlier this year, Musk recruited several research personnel from Alphabet's DeepMind division. It was theorized that he was incubating a resident AI research lab at the time, following personal criticisms levelled at his former colleagues at OpenAI, ergo their very popular and much adopted chatbot.