AI Accelerator
An AI accelerator is hardware designed or configured to execute artificial intelligence and machine learning workloads more efficiently than a general-purpose processor executing the same workload without…
AI Compute
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AI Accelerator Comparison (H100 vs B200 vs MI300 vs TPU)
As of July 2026, the best AI accelerator depends on the metric you care about, so the honest answer to "H100 vs B200 vs MI300 vs TPU" is not a single winner.
AI Chip
An AI chip is an integrated circuit, or a tightly integrated multi-die semiconductor package, designed or selected to execute artificial intelligence workloads efficiently.
AI Datacenter
An AI datacenter (also written as AI data center) is a facility designed to run artificial intelligence workloads on dense groups of GPUs or other accelerators.
AI OVERWATCH Act
The AI OVERWATCH Act is a United States bill introduced in the 119th Congress that would require licenses and congressional review for exports of the most advanced artificial intelligence chips
AI chip export controls
AI chip export controls are a set of United States regulations that restrict the export, reexport, and in-country transfer of advanced artificial intelligence accelerators (graphics processing units, tensor…
AI compute
AI compute is the processing capacity used to train and run artificial intelligence models, together with the chips, memory, networks, data centers, electricity and capital that supply it.
AMD
Advanced Micro Devices, Inc. (AMD) is an American semiconductor company that designs the CPUs, GPUs, and data-center accelerators powering one of the largest AI compute build-outs in the industry.
AMD Advancing AI 2026
Advancing AI 2026 (styled AAI 2026 in the company's own materials) was an annual product and strategy conference held by AMD in San Francisco on July 22 and 23, 2026.
AMD Helios
AMD Helios is a rack-scale artificial intelligence system from AMD that packages 72 Instinct MI455X GPUs and 18 sixth-generation EPYC "Venice" CPUs into a single double-wide cabinet
AMD Instinct MI300X
The AMD Instinct MI300X is a data center GPU accelerator that Advanced Micro Devices released on December 6, 2023, built on the CDNA 3 architecture and paired with 192 GB of HBM3 memory at 5.3 TB/s of bandwidth
AMD Instinct MI325X
The AMD Instinct MI325X is a data center GPU accelerator from AMD for AI training and inference, built on the CDNA 3 architecture with 256 GB of HBM3E memory and 6 TB/s of memory bandwidth
AMD Instinct MI350P
The AMD Instinct MI350P is a PCIe add-in card built on AMD's CDNA 4 architecture, introduced on May 7, 2026 as the third member of the Instinct MI350 series and the first AMD Instinct product in a conventional…
AMD Instinct MI355X
The AMD Instinct MI355X is a data center GPU accelerator built on AMD's CDNA 4 architecture, announced at the AMD Advancing AI 2025 event on June 12, 2025, and reaching general availability in October 2025.
AMD Instinct MI400
AMD Instinct MI400 is AMD's 2026 family of data center GPU accelerators for artificial intelligence training and inference, built on the CDNA 5 architecture.
AMD Instinct MI430X
The AMD Instinct MI430X is a data center GPU accelerator built for scientific computing and sovereign AI, and the high-precision member of the AMD Instinct MI400 series.
AMD Instinct MI455X
The AMD Instinct MI455X is a data center GPU accelerator announced by AMD on 23 July 2026 at Advancing AI 2026 in San Francisco.
ASIC
An application-specific integrated circuit (ASIC) is a chip designed to perform one job, in contrast to a general-purpose CPU or a broadly programmable GPU.
AWS Inferentia
AWS Inferentia is a family of custom application specific integrated circuits (ASICs) designed by Amazon Web Services for machine learning inference in the cloud, built to deliver, in AWS's words, "high…
AWS Trainium
AWS Trainium is a family of custom machine learning accelerator chips designed by Annapurna Labs for Amazon Web Services, purpose-built for training and, increasingly, for serving large neural networks.
AWS Trainium 2
AWS Trainium 2 (also written as Trainium2 and abbreviated Trn2) is the second generation of Amazon Web Services' custom machine learning training accelerator
AWS Trainium 3
AWS Trainium 3 (also written as Trainium3 and abbreviated Trn3) is the third-generation custom AI training and inference accelerator from Amazon Web Services, designed by Amazon's in-house chip team Annapurna…
Ada Lovelace (microarchitecture)
Ada Lovelace is the graphics processing unit (GPU) microarchitecture that Nvidia announced on September 20, 2022, succeeding the consumer side of the Ampere architecture and serving as the foundation for the…
Ampere (microarchitecture)
Ampere is a graphics processing unit (GPU) microarchitecture from Nvidia, announced on May 14, 2020, as the successor to the Volta and Turing architectures.
Biren Technology
Biren Technology (Chinese: 壁仞科技; pinyin: Birèn Keji) is a Chinese fabless semiconductor company, based in Shanghai and founded in 2019, that designs general-purpose GPUs and AI accelerators for data-center…
Blackhole (Tenstorrent)
Blackhole is the third-generation AI accelerator architecture from Tenstorrent, the Toronto and Santa Clara based fabless semiconductor company led by CEO Jim Keller.
Broadcom
Broadcom Inc. is an American semiconductor and infrastructure software company, traded on Nasdaq as AVGO, that has become the second most important supplier of AI compute after Nvidia by co-designing custom AI…
Broadcom Tomahawk 6
The Broadcom Tomahawk 6 is an Ethernet switch chip built for the networks that connect large clusters of AI accelerators.
CHIPS and Science Act
The CHIPS and Science Act is a United States federal law, enacted as Public Law 117-167 on August 9, 2022, that appropriated $52.7 billion for domestic semiconductor manufacturing, research, and workforce…
CME Compute Futures
CME Compute Futures are a planned family of financially settled futures contracts tied to Silicon Data benchmarks for hourly rentals of Nvidia H100 and B200 graphics processors.
Cambricon
Cambricon Technologies (Chinese: 寒武纪科技; stock ticker: 688256.SS) is a Chinese fabless semiconductor company that designs artificial intelligence processors, best known for its Siyuan (思元) Machine Learning Unit…
Cambricon Siyuan 590/690
The Cambricon Siyuan 590 and Siyuan 690 (Chinese: 思元590 / 思元690) are data-center artificial intelligence accelerators designed by Cambricon, a partially state-owned Chinese chip company often called "the…
Catalina (Meta AI rack)
Catalina is a high-power, liquid-cooled rack system designed by Meta for training and serving large AI models.
Cerebras Systems
Cerebras Systems is an American artificial intelligence hardware company that builds wafer-scale processors for AI training and inference
Cerebras WSE-3
The Cerebras WSE-3 (Wafer-Scale Engine 3) is the third-generation wafer-scale AI chip developed by Cerebras Systems, announced on March 13, 2024, and is the largest semiconductor ever built.
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.
China's semiconductor industry
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…
Cloud AI GPU Pricing Comparison
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
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…
Co-Packaged Optics
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).
Data Center
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…
Enflame
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…
Entity List
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
Eridu is an American startup developing networking chips and switches built specifically for large-scale artificial intelligence computing.
Etched
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.
Etched Sohu
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…
FLOPS
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)
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
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…
FluidStack
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
Fractile
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 (Google AI chip)
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
FuriosaAI is a South Korean fabless semiconductor startup that designs data-center AI chip accelerators for deep learning inference.
GAIN AI Act
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…
GPU Cluster
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
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
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 TPU 8i
Google TPU 8i is an eighth-generation Tensor Processing Unit from Google, built specifically for AI inference rather than model training.
Google TPU 8t
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 (AI hardware)
Grand Teton is an open GPU hardware platform designed by Meta for training and running large AI models.