AI Infrastructure

Explore AI Infrastructure through related topics and the articles other pages reference most.

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The AI Infrastructure articles that other AI Wiki pages link to most.

  1. Data CenterA data center is a purpose-built facility, or a dedicated part of a facility, that houses and interconnects information technology and…
  2. CUDACUDA (Compute Unified Device Architecture) is NVIDIA's platform and programming model for general-purpose computation on its graphics…
  3. Google CloudGoogle Cloud is the enterprise cloud business of Google and the name of a reportable segment in Alphabet's financial statements.
  4. AI InfrastructureAI infrastructure is the hardware, facilities, networking, storage, and software used to develop, train, evaluate, deploy, and operate…
  5. NVIDIA H100NVIDIA H100 (also called the H100 Tensor Core GPU) is a data-center graphics processing unit built by NVIDIA on the Hopper…
  6. Amazon Web ServicesAmazon Web Services (AWS) is the cloud-computing business of Amazon. It supplies computing, storage, database, networking, analytics…
  7. EthernetEthernet is the family of wired computer networking technologies standardized by the IEEE 802.3 working group.
  8. AI ChipAn AI chip is an integrated circuit, or a tightly integrated multi-die semiconductor package, designed or selected to execute artificial…

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Browse subtopics (58)

Articles that also belong to these categories. Counts cover all of AI Infrastructure.

Showing 1-60 of 329 articles

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 ComputeAI Hardware

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 ComputeAI Hardware

AI Infrastructure

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 Compute

AI capital expenditure

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 ComputeData Centers

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.

AI ComputeAI Hardware

AI energy consumption

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…

AI ComputeAI Energy

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

AI ComputeAI Hardware

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

AI ComputeAI Hardware

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

AI ComputeAI Hardware

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.

AI ComputeAI Hardware

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.

AI ComputeAI Hardware

AMD Pensando

AMD Pensando is the data processing unit (DPU) and AI networking product line of AMD, built around Pensando Systems, a startup AMD acquired in 2022 in a transaction valued at approximately $1.9 billion.

AI HardwareData Centers

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.

AI ComputeAI Hardware

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

AI CompaniesAI Compute

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…

AI ComputeAI Hardware

Abilene data center (Stargate)

The Abilene data center, also called the Crusoe Abilene Stargate Campus, is the flagship artificial intelligence data center of the Stargate Project, built by Crusoe Energy on Lancium's Clean Campus outside…

AI ComputeOpenAI

Actor model

The actor model is a mathematical model of concurrent computation whose universal primitive is the actor: an autonomous, isolated entity that owns private state and communicates with other actors only by…

Computer ScienceProgramming Languages

Alexandr Wang

Alexandr Wang (born January 1997) is an American entrepreneur who co-founded Scale AI in 2016 and, in June 2025, became the first Chief AI Officer of Meta

AI CompaniesPeople

Alibaba AI

Alibaba AI refers to the artificial-intelligence work of Alibaba Group Holding Limited, a Chinese multinational technology conglomerate headquartered in Hangzhou.

AI CompaniesChinese AI

Amazon Q

Amazon Q is a family of generative AI-powered assistants from Amazon Web Services (AWS), announced on November 28, 2023, at the AWS re:Invent conference and made generally available on April 30, 2024.

AI Code GenerationArtificial Intelligence

Amazon SageMaker

Amazon SageMaker is Amazon Web Services' fully managed machine learning platform for building, training, and deploying models at scale, first launched at AWS re:Invent on November 29, 2017 and rebranded in…

AI Tools & ProductsMachine Learning

Amazon Web Services

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.

AI Compute

Andrew Tulloch

Andrew Tulloch is an Australian machine-learning researcher and engineer known for building large-scale machine-learning infrastructure at Meta (formerly Facebook), for training frontier models at OpenAI, and…

People

Anthropic-Google TPU deal

The Anthropic-Google TPU deal is a set of escalating compute and investment agreements between the AI lab Anthropic and Google, built around Anthropic running Claude on Google's tensor processing units (TPUs).

AI ComputeAnthropic

Anyscale

Anyscale is an American technology company, founded in 2019 by the creators of Ray at the University of California, Berkeley, that develops the Anyscale Platform: a fully managed compute service built on Ray…

AI Companies

Apache MXNet

Apache MXNet (pronounced "mix-net") was an open-source deep learning framework that combined imperative and symbolic execution in one runtime, created around 2015 by the DMLC (Distributed Machine Learning…

Artificial IntelligenceDeveloper Tools

Applied Compute

Applied Compute is an American artificial intelligence company, based in San Francisco, that trains custom AI models for businesses on their own data and then runs those models on its own cloud.

AI CompaniesEnterprise AI

Applied Digital

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.

AI CompaniesAI Compute

Automatic Differentiation

Automatic differentiation (abbreviated AD, also called algorithmic differentiation, autodiff, or autograd) is a family of techniques for computing exact derivatives of a function specified by a computer program

Machine LearningMathematics

Baseten

Baseten is an inference platform for deploying, serving, and scaling machine learning models in production.

AI CompaniesMLOps

Bittensor

Bittensor is a decentralized machine learning network that uses blockchain-based incentives to pay independent contributors for producing digital commodities such as model inference, training, data, and raw…

AI CompaniesMachine Learning

Bloom Energy

Bloom Energy Corporation (NYSE: BE) is an American power-generation company based in San Jose, California, that designs and manufactures solid oxide fuel cells, sold as the Bloom Energy Server, which produce…

AI Energy

CANN (Huawei)

CANN, short for Compute Architecture for Neural Networks, is the heterogeneous computing architecture and software stack that Huawei provides for its Ascend line of AI processors.

Chinese AIDeveloper Tools

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…

AI ComputeAI Hardware

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.

AI ComputeAI Hardware

CUDA

CUDA (Compute Unified Device Architecture) is NVIDIA's platform and programming model for general-purpose computation on its graphics processing units.

Developer ToolsNVIDIA

CUTLASS

CUTLASS is an open-source library of reusable building blocks for writing high-performance matrix kernels on NVIDIA GPUs.

Developer ToolsNVIDIA

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 described by Cerebras as the largest chip ever built.

AI ComputeAI Hardware

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…

AI ComputeAI Hardware

Chroma

Chroma is an open-source embedding database designed for artificial intelligence applications.

Open Source AI

Chunked prefill

Chunked prefill is a scheduling technique for large language model serving that splits the processing of a long input prompt (the prefill) into smaller, fixed-size token chunks and combines each chunk with the…

Machine Learning

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.

AI ComputeAI Hardware

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…

AI ComputeAI Hardware

Cloud computing

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.

AI Hardware

Cloudflare

Cloudflare, Inc. is an American internet infrastructure company that has become one of the most consequential players in the AI economy by running serverless AI inference at the network edge and by setting the…

AI Companies