AI-generated summary NVIDIA is facing supply chain concerns and potential order slowdowns following troubles involving CEO Jensen Huang and China-related chip sales. Supply chain sources believe that competitors like AMD and custom ASIC developers such as MediaTek and Broadcom could benefit from freed production capacity.
AI-generated summary Alphabet shares rose after Google introduced two new versions of its eighth-generation tensor processing unit chips, the TPU 8tx and the TPU 8i Max. Google says the new AI chips are designed to improve training and inference, help overcome memory challenges, and provide secure and confidential inference.
AI-generated summary Google Cloud announced that Cloud Pathways is generally available on Google Kubernetes Engine for large-scale training and inference workloads. Google says the single-controller runtime was originally engineered by Google DeepMind to train frontier models such as Gemini.
AI-generated summary Google Cloud released two new versions of its TPU AI processors on Monday to expand its eighth generation of chips. Google Cloud says the new 8tx includes an AMD Epyc chip for a secure enclave, while the 8iMax expands memory to reduce bottlenecks.
AI-generated summary Cerebras released an engineering documentary detailing the creation of the CS-4 wafer-scale AI system. The film covers lab footage and discussions with engineers regarding topics such as wafer-scale history, cooling, and performance comparisons.
AI-generated summary Photonic chip company Q.ANT has partnered with Ionos to launch a pilot program that lets participants test AI models on Q.ANT hardware. Approved applicants can access the second-generation Native Processing Unit via the Ionos website to run their own workloads.
AI-generated summary AMD announced an expanded collaboration with Google Cloud utilizing 5th Gen AMD EPYC processors. AMD says these processors power host infrastructure for Google Cloud TPU 8tx and help protect sensitive AI models.
AI-generated summary Google Cloud says dynamic slicing is generally available on Google Kubernetes Engine to run large-scale AI workloads on TPU infrastructure. Google Cloud says the feature reduces AI workload startup times by up to 5x and workload recovery by 4.5x.
AI-generated summary Alphabet Inc.'s Google is releasing new versions of its custom tensor processing units to compete with Nvidia Corp. in the artificial intelligence market. The latest chips are designed to support confidential computing and help models access a wider range of information for handling user queries.
AI-generated summary Amazon introduced TorchNeuron, a native PyTorch backend that allows developers to run existing code on AWS Trainium chips without modifications. Amazon says a single configuration change switches hardware, and the backend supports distributed training and PyTorch parallelism APIs.
AI-generated summary NVIDIA announced a collaboration with Rebellions and SK Telecom to connect Rebellions processors to NVLink Fusion for Korean sovereign AI infrastructure. The resulting systems from NVIDIA, Rebellions, and SK Telecom are expected to be ready for deployment in 2028.
AI-generated summary DFRobot introduces the DX-M1 AI accelerator, which utilizes an M.2 slot to deliver 25 TOPS of performance while consuming between 2W and 5W of power. Priced at $139, the hardware includes 4GB of onboard LPDDR5 RAM and 1Tbit of QSPI NAND Flash, though it is not designed to run heavy LLMs locally.
AI-generated summary Former Intel CEO Pat Gelsinger stated at a private industry gathering that semiconductor companies have become too complacent and lack sufficient paranoia. According to a presentation reviewed by Semafor, current technologies are running into the limits of physics while failing to adopt new innovations.
AI-generated summary PsiQuantum is sharing optical circuit switch samples with prospective customers as it adapts silicon photonics developed for quantum computing to the networks connecting AI infrastructure. The company reported typical insertion loss of 1.2 decibels, crosstalk performance of 40 decibels, and reconfiguration in less than three milliseconds in its own laboratory tests.
AI-generated summary Cerebras makes available its third and fourth generation systems, which are built to operate reliably and outlast their economic life by many years. Cerebras says that less than half of one percent of all CS-3 wafers deployed have been decommissioned since the introduction of the CS-3 in 2024.
AI-generated summary Researchers at the University of Tokyo and NTT have released a novel AI framework that runs on optical hardware to process information with light. The University of Tokyo researchers say the approach reduces computational demands and could pave the way toward faster and more energy-efficient AI hardware.
AI-generated summary HPE and AMD have launched new AI and supercomputing infrastructure platforms using AMD EPYC processors and AMD Instinct accelerators to help customers build capable systems. Customers can utilize these integrated technologies to support demanding workloads such as scientific research, digital engineering, and training advanced artificial intelligence models.
AI-generated summary SambaNova announced a partnership with Supermicro to deploy SN50 RDU chips for AI disaggregated inference systems. Supermicro will initially purchase 10,000 SN50 chips from SambaNova and integrate them alongside Nvidia GPUs for customers.
AI-generated summary Advanced Micro Devices launched its fourth-quarter revenue outlook of $17bn alongside stronger-than-expected third-quarter financial results. Advanced Micro Devices says growth should accelerate further as it ramps production of its Helios AI rack system and next-generation Venice server processors.
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