Cerebras WSE-4 and 2026 IPO
The Cerebras WSE-4 (Wafer Scale Engine 4) is the anticipated fourth generation of the dinner-plate-sized wafer-scale AI processor built by Cerebras Systems.
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The Cerebras WSE-4 (Wafer Scale Engine 4) is the anticipated fourth generation of the dinner-plate-sized wafer-scale AI processor built by Cerebras Systems.
China's semiconductor industry is the network of wafer fabrication plants, equipment and materials suppliers, chip design houses, packaging and test operations, and state investment vehicles that produce…
ChipAgents is an American startup that builds AI agents for semiconductor design and verification. The company is legally Alpha Design AI, and it markets its product and itself under the ChipAgents name.
ChipNeMo is a research project and a family of domain-adapted large language models developed by Nvidia to assist with industrial semiconductor and chip-design tasks.
Cloud AI GPU pricing is difficult to compare from a headline hourly rate alone. Providers sell different GPU variants, node sizes, CPU and memory bundles, regions, network configurations, and purchase models.
Cloud TPU is Google Cloud's offering of Tensor Processing Units (TPUs), the family of custom application-specific integrated circuits (ASICs) that Google builds to accelerate machine learning training and…
Cloud computing is the on-demand availability of computer system resources, especially data storage and computing power, delivered over the internet without active management by the end user.
Co-packaged optics (CPO) is a hardware architecture that places active optical engines on the same first-level package substrate as a host application-specific integrated circuit (ASIC).
Core ML is Apple's framework for running trained machine learning models on-device across iOS, iPadOS, macOS, watchOS, tvOS, and visionOS.
Cortical Labs is a Melbourne biotechnology company that develops experimental biological-computing systems.
NVIDIA cuDNN (CUDA Deep Neural Network library) is a proprietary GPU-accelerated library of primitives for deep learning, first released by NVIDIA on September 7, 2014, that provides highly tuned…
Dynamic random-access memory (DRAM) is the working memory of nearly every computer built since the late 1970s, and the physical substrate on which modern AI hardware runs.
A data center is a purpose-built facility, or a dedicated part of a facility, that houses and interconnects information technology and telecommunications equipment together with the power…
Dylan Patel is a semiconductor and artificial intelligence analyst, and the founder, chief executive officer, and chief analyst of SemiAnalysis, a research firm and paid newsletter covering chips, AI…
Edge AI is the practice of running artificial intelligence models directly on the device that generates the data, such as a smartphone, laptop, camera, vehicle, or IoT sensor
The Edge TPU is a small application-specific integrated circuit (ASIC) designed by Google to run machine learning inference on low-power devices.
Edge computing is a distributed computing paradigm that runs computation and data storage close to where data is generated, at the "edge" of the network
Empyrean Technology (Chinese: 北京华大九天科技股份有限公司, Beijing Huada Jiutian Technology Co., Ltd.; trading as Empyrean) is a Chinese electronic design automation (EDA) software company headquartered in Beijing and…
Enflame Technology (Chinese: 燧原科技, romanized Suiyuan) is a Chinese fabless chip company, founded in March 2018 and based in Shanghai, that designs general-purpose AI accelerators for data-center training and…
The Entity List is a US export control list maintained by the Bureau of Industry and Security (BIS), an agency of the Department of Commerce, and published as Supplement No. 4 to Part 744 of the Export…
Eridu is an American startup developing networking chips and switches built specifically for large-scale artificial intelligence computing.
Etched is an American semiconductor startup building Sohu, the first application-specific integrated circuit (ASIC) designed to run only transformer models, the architecture behind most large language models.
Sohu is a transformer-specialized application-specific integrated circuit (ASIC) built by Etched, a Silicon Valley AI hardware startup founded in 2022 by Harvard dropouts Gavin Uberti, Chris Zhu, and Robert…
Ethernet is the family of wired computer networking technologies standardized by the IEEE 802.3 working group.
Extropic (Extropic Corp.) is an American computing hardware company, founded in 2022 by Guillaume Verdon
Z1T is a family of sparse, transformer-like language models that Extropic designed to run partly on its Z1 probabilistic chip, described in a research post dated September 4, 2026 by Guillaume Verdon…
FLOPS (floating-point operations per second, also written FLOP/s) is a measure of computing speed: the number of arithmetic operations on floating-point numbers that a processor, accelerator or supercomputer…
FP4 (4-bit floating point) is a numerical format that stores a real number in just 4 bits, the smallest floating-point type in mainstream use for deep learning.
FP8 is a family of 8-bit floating-point number formats used to accelerate deep learning training and inference, built around two encodings, E4M3 (4 exponent bits, 3 mantissa bits) and E5M2 (5 exponent bits, 2…
A field-programmable gate array (FPGA) is an integrated circuit whose logic functions and internal wiring are set by the customer after the chip has been manufactured, and can be reset later.
Flash Attention 3 (FA3, styled FlashAttention-3) is the third generation of the FlashAttention algorithm
FluidStack (stylized Fluidstack) is an artificial intelligence cloud company that provides on-demand access to large clusters of graphics processing units (GPUs) for AI training and inference
Foxconn, officially Hon Hai Precision Industry Co., Ltd. (Chinese: 鴻海精密工業股份有限公司; trading as Hon Hai Technology Group)
Fractile is a British AI hardware startup, based in London, that is building in-memory computing chips to speed up and cut the cost of running large AI models.
Frozen v2 is the informal internal codename for a specialized artificial-intelligence inference chip that Google is reportedly developing to run its Gemini models more cheaply and with far less energy.
FuriosaAI is a South Korean fabless semiconductor startup that designs data-center AI chip accelerators for deep learning inference.
The GAIN AI Act (Guaranteeing Access and Innovation for National Artificial Intelligence Act of 2025) is proposed United States legislation that would require a company seeking a license to export advanced AI…
A GPU cluster is a group of servers containing graphics processing units that are connected by high-bandwidth, low-latency networks and operated as one computational pool.
GPU depreciation concerns the allocation of the cost of graphics processing units over their useful lives and the loss of their economic value.
GPU computing is the use of a graphics processing unit (GPU) to perform general-purpose computation that was traditionally handled by the central processing unit (CPU).
Google Axion is Google's first custom Arm-based central processing unit designed for the data center.
Google TPU 8i is an eighth-generation Tensor Processing Unit from Google, built specifically for AI inference rather than model training.
Google TPU 8t is the training-focused member of Google's eighth-generation Tensor Processing Unit family, previewed at Google Cloud Next on April 22, 2026.
Grand Teton is an open GPU hardware platform designed by Meta for training and running large AI models.
A graphics processing unit (GPU) is a processor designed to execute many similar operations in parallel.
Groq is a United States artificial intelligence infrastructure company that operates an AI inference cloud and offers on-premises inference systems.
Groq hardware is a family of artificial-intelligence accelerators and multi-chip systems built around a statically scheduled streaming architecture.
HBM3e (also written HBM3E and HBM3 Extended) is the extended-bandwidth variant of HBM3 high bandwidth memory, a stacked DRAM technology used as on-package memory for AI accelerators and high-performance…
HBM4 (High Bandwidth Memory generation 4) is the fourth principal generation of high bandwidth memory (HBM)
High Bandwidth Memory (HBM) is a JEDEC-standardised, 3D-stacked DRAM technology that delivers very high memory bandwidth and good energy efficiency to a nearby logic die, typically a GPU or AI accelerator, by…
Horizon Robotics (Chinese: 地平线; pinyin: Dipingxian) is a Chinese designer of energy-efficient artificial-intelligence computing platforms for smart and automated vehicles, principally for advanced driver…
Hua Hong is the second-largest chip foundry in mainland China after SMIC, and the largest one whose entire business sits on mature specialty processes rather than leading-edge logic.
Huawei Technologies Co., Ltd. is a Chinese multinational technology company headquartered in Shenzhen that has become the centerpiece of China's effort to build an artificial intelligence industry independent…
Huawei's AI strategy is to build a fully self-sufficient, vertically integrated AI stack inside China, spanning custom Ascend accelerators, the CANN software layer, the MindSpore framework, the Pangu family of…
Huawei Ascend is a family of AI accelerators designed by Huawei around a custom processor architecture called Da Vinci.
The Huawei Ascend 910B is a data-center AI accelerator designed by Huawei's HiSilicon unit that became China's most widely deployed domestic alternative to restricted NVIDIA data-center GPUs across roughly…
The Huawei Ascend 910C is a data-center artificial intelligence accelerator developed by Huawei and positioned as China's leading domestic alternative to high-end NVIDIA GPUs that are barred from sale to…
The Huawei CloudMatrix 384 (commonly shortened to CM384) is a rack-scale artificial intelligence computing system that Huawei markets as an "AI supernode." It wires together 384 Huawei Ascend 910C…
A hyperscaler is a company that builds and operates computing infrastructure at a scale far beyond a conventional enterprise IT estate: globally distributed fleets of data centers holding millions of servers…
InferenceX, launched in October 2025 under the name InferenceMAX, is an open-source benchmark that continuously measures large language model inference performance across AI accelerators and serving software.