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…
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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…
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.
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 infrastructure is the hardware, facilities, networking, storage, and software used to develop, train, evaluate, deploy, and operate artificial intelligence systems. It includes more than accelerator chips.
AI capital expenditure, usually shortened to AI capex, is spending on the physical assets used to train and run artificial intelligence models: AI data centers and the land under them, servers built around…
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.
AI energy consumption is the electricity, and the associated water, land, and emissions, required to train and operate artificial intelligence systems, principally generative AI and large language models…
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 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
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
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
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.
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.
The AMD Instinct MI455X is a data center GPU accelerator announced by AMD on 23 July 2026 at Advancing AI 2026 in San Francisco.
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 (also written as Trainium2 and abbreviated Trn2) is the second generation of Amazon Web Services' custom machine learning training accelerator
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…
The Abilene data center, also called the Crusoe Abilene Stargate Campus or Stargate I, is the flagship artificial intelligence data center of the Stargate Project, built by Crusoe Energy on a roughly 1,000…
Amazon Web Services (AWS) is the cloud-computing business of Amazon. It supplies computing, storage, database, networking, analytics, security, and application services from infrastructure operated by Amazon.
The Anthropic-Amazon Trainium expansion is an enlarged compute and investment agreement between Anthropic and Amazon, announced on 20 April 2026, under which Amazon committed to invest up to roughly $25…
The Anthropic-Google TPU deal is a set of escalating compute and investment agreements between the AI lab Anthropic and Google Cloud
Applied Digital Corporation (Nasdaq: APLD) is a United States designer, builder, and operator of large data centers for artificial intelligence and high-performance computing, headquartered in Dallas, Texas.
Blackhole is the third-generation AI accelerator architecture from Tenstorrent, the Toronto and Santa Clara based fabless semiconductor company led by CEO Jim Keller.
The Broadcom Tomahawk 6 is an Ethernet switch chip built for the networks that connect large clusters of AI accelerators.
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 are a planned family of financially settled futures contracts tied to Silicon Data benchmarks for hourly rentals of Nvidia H100 and B200 graphics processors.
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.
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 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…
ClusterMAX is a rating and ranking system for GPU cloud providers published by the research firm SemiAnalysis.
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).
Compute derivatives are financial contracts whose value depends on the price of AI computing capacity.
CoreWeave, Inc. is an American artificial intelligence cloud computing company headquartered in Livingston, New Jersey, that rents large clusters of NVIDIA GPUs to AI developers and enterprises and builds the…
Crusoe is an American AI infrastructure company headquartered in Denver, Colorado, that builds and operates data centers for artificial intelligence workloads.
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…
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.
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 Cloud is the enterprise cloud business of Google and the name of a reportable segment in Alphabet's financial statements.
Virgo Network is a megascale data-center fabric introduced by Google at Google Cloud Next 2026 in April 2026.
Groq hardware is a family of artificial-intelligence accelerators and multi-chip systems built around a statically scheduled streaming architecture.
HUMAIN is a Saudi Arabian artificial intelligence company launched on 12 May 2025 and owned by the Public Investment Fund (PIF), the kingdom's roughly trillion-dollar sovereign wealth fund.
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…
Hyperion is an artificial intelligence data center campus built by Meta in Richland Parish, in northeast Louisiana, United States.
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…
IREN Limited is an Australian-founded data center company listed on the Nasdaq Global Select Market under the ticker IREN.
InfiniBand is a high throughput, low latency networking interconnect standard used to connect servers, storage, and accelerators inside high performance computing systems and large artificial intelligence…
Jalapeño is a custom AI accelerator designed by OpenAI with silicon implementation and networking technology from Broadcom.
Lambda Labs (operating as Lambda, Inc.) is an American AI infrastructure company that provides GPU cloud computing, on-premises GPU hardware, and deep learning software for artificial intelligence research and…
Land, power, and shell (LPS) is an emerging commercial label for the physical site, deliverable electricity, and building structure needed before computing equipment can be installed in a large data center.
Lepton AI was an American AI cloud company, founded in 2023, that built a cloud-native inference platform for serving large language models, generative image models, and other AI workloads on NVIDIA GPUs.
This list covers agreements for AI computing capacity announced or credibly reported between January 2023 and October 2026: cloud capacity contracts, chip supply agreements, data center leases and builds, the…
MTIA (Meta Training and Inference Accelerator) is a family of custom silicon chips that Meta designs for use in its own data centers rather than for sale.
Meta Compute is a top-level organization that Meta created in January 2026 to plan, build, and run the gigawatt-scale data center capacity behind its push toward artificial general intelligence and what the…
MTIA (Meta Training and Inference Accelerator) is a family of custom AI chips that Meta designs in-house to run its largest artificial intelligence workloads, beginning with the deep learning recommendation…
Microscaling (MX) formats are a family of low-precision number formats for machine learning in which a small block of values, normally 32 of them, shares one common scale factor while each value is stored in a…