Well, relying on Huawei's AI chips didn't go well for DeepSeek , as the AI firm has failed to train the R2 model on Chinese chips and is now opting for NVIDIA instead. …
… T-Head reports that they have shipped approximately 560,000 Zhenwu AI chips to date, with more than 400 external customers spanning across 20 industries. Looking ahead, Alibaba Cloud is working on a series of Zhenwu chips following the M890. …
… Anthropic Anthropic already uses over a million Trainium2 chips to train and serve its Claude models at Project Rainer, one of the largest compute clusters in the world. …
… Related Story A Pixel 9 Pro Is Being Kept “Hostage” By Google After Its Automated Repair Diagnostic Incorrectly Charged An Owner $490 For A Non-Existent Problem Google is in talks with Marvell Technology to develop two new chips aimed at running AI models more efficiently, according to two people w… …
… Both chips also deliver twice the performance per watt improvement, which is vital for AI TCO. Both chips support Google's 4th Gen liquid cooling technology that is able to sustain the higher compute and performance densities, not possible with air cooling. …
… In a new blog post , AMD has given us a glimpse of the Instinct MI430X AI chips, which are reportedly designed for large-scale AI environments. While Team Red hasn't provided a detailed rundown of the chip's specifics, the firm did disclose some details, which we'll cover ahead. …
… The Groq 3 LPX is an LPU that is designed to boost AI inferencing by up to 35x. The Groq 3 LPX rack will feature a total of 256 chips with 128 GB of SRAM and 12 TB of DDR5 memory, designed for multi-trillion parameter AI models. …
… Through this collaboration, the companies plan to develop an AI server combining Arm AGI CPU, the first Arm-designed data center CPU, with Rebellion’s AI chips. The system will be validated in SKT’s AI data center environment before expanding to global markets. …
… Furthermore, the company is saying that its software stack allows developers to deploy new AI models quickly while meeting throughput and latency requirements. …
… LLMs are AI models that have been pre-trained on a large set of data and feature various parameter sizes. But LLMs' limitations can be seen when it needs to generate responses on data it wasn't trained on. Related Story Do Computer Chips Actually Get Slower With Age? …
