English translation is being prepared.
Matched fieldsSummary
Matched fieldsSummary
Matched fieldsSummary
Matched fieldsSummary
Matched fieldsSummary
Matched fieldsSummary
Matched fieldsSummary
Matched fieldsSummary
Matched fieldsSummary
Matched fieldsSummary
Matched fieldsSummary
Matched fieldsSummary
Matched fieldsSummary
Matched fieldsSummary
Matched fieldsSummary
Matched fieldsSummary
Matched fieldsSummary
Matched fieldsSummary
Matched fieldsSummary
T-Head releases the new-generation Zhenwu V900 training-and-inference integrated AI chip. According to Jiwei.com, the chip was released on September 22 at the Hangzhou Yunqi Conference; single-chip performance reaches three times that of Zhenwu M890, can meet the training and inference needs of trillion-parameter large models, and is planned for mass production and sale in the first quarter of 2027. The report says Zhenwu V900 carries 216GB of memory, chip-to-chip interconnect bandwidth of 1200GB/s, natively supports FP8 and FP4 low-precision computing, and can form a thousand-card full-bandwidth high-speed interconnect super node with the self-developed ICN Switch interconnect chip. T-Head also for the first time announced its Yitian server CPU plan, with Yitian 720 and Yitian 730 to be launched in 2027. There are currently no subsequent development facts.
T-Head releases the new-generation Zhenwu V900 training-and-inference integrated AI chip. According to Jiwei.com, the chip was released on September 22 at the Hangzhou Yunqi Conference; single-chip performance reaches three times that of Zhenwu M890, can meet the training and inference needs of trillion-parameter large models, and is planned for mass production and sale in the first quarter of 2027. The report says Zhenwu V900 carries 216GB of memory, chip-to-chip interconnect bandwidth of 1200G
Matched fieldsSummary
Tether has developed the TranslatePsy-AfriSLM open-source translation resource. According to a Computerworld report on October 13, 2026, the model has only 8 million parameters, is free and open source, supports machine translation for 19 sub-Saharan African languages, and is small enough to run on most smartphones. The same report also mentions that Tether developed the cloud-free AI platform QVAC, which can integrate open-source language models through the QVAC Fabric SDK or the QV.AC app, enabling direct inference, training, and personalization on off-the-shelf GPUs, laptops, and phones, with no subscription fees and no vendor lock-in. Tether CEO Paolo Ardoino says the company no longer sees itself as a crypto company but as an infrastructure provider. There are currently no subsequent development facts.
Tether has developed the TranslatePsy-AfriSLM open-source translation resource. According to a Computerworld report on October 13, 2026, the model has only 8 million parameters, is free and open source, supports machine translation for 19 sub-Saharan African languages, and is small enough to run on most smartphones. The same report also mentions that Tether developed the cloud-free AI platform QVAC, which can integrate open-source language models through the QVAC Fabric SDK or the QV.AC app, ena
Matched fieldsSummary