AI Hardware

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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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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 Infrastructure

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.

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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

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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

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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

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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 Infrastructure

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 InfrastructureData 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.

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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

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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…

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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…

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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.

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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…

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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 Infrastructure

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).

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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…

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Edge computing

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

AI Infrastructure

FPGA

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.

AI InferenceAI Infrastructure

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.

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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).

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Groq Hardware

Groq hardware is a family of artificial-intelligence accelerators and multi-chip systems built around a statically scheduled streaming architecture.

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Huawei Ascend 910B

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…

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Huawei Ascend 910C

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…

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Hyperscaler

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…

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InfiniBand

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…

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Internet of Things

The Internet of Things (IoT) is the network of physical objects ("things") embedded with sensors, software, and connectivity that lets them collect data, exchange it with other devices and systems over the…

AI InfrastructureEnterprise AI

Kioxia

Kioxia is a Japanese flash memory manufacturer, the direct corporate descendant of the Toshiba division where flash memory was invented in the 1980s.

AI CompaniesAI Infrastructure

Lenovo

Lenovo Group Limited is a Chinese multinational technology company that is the world's largest personal computer vendor by unit shipments and one of the largest builders of AI-optimized data center hardware…

AI CompaniesAI Infrastructure

MTIA

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.

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Meta MTIA

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…

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Microscaling formats

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…

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NVHBM

NVHBM is an announced custom high-bandwidth memory architecture from NVIDIA for custom AI accelerators that participate in the company's NVLink Fusion platform. NVIDIA introduced it on August 26, 2026.

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NVIDIA B200

The NVIDIA B200 is a data center GPU based on the NVIDIA Blackwell microarchitecture, announced by Jensen Huang at NVIDIA's GTC conference in San Jose on March 18, 2024.

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NVIDIA BlueField

NVIDIA BlueField is a family of data processing units (DPUs) designed and sold by Nvidia that offload and accelerate networking, storage, and security tasks away from a server's main CPU.

AI InfrastructureNVIDIA

NVIDIA ConnectX

NVIDIA ConnectX is a family of high-speed network adapters and SmartNICs (smart network interface cards) that connect a server to the data center fabric and accelerate networking in hardware.

AI InfrastructureNVIDIA

NVIDIA DGX

NVIDIA DGX is NVIDIA's line of integrated artificial-intelligence supercomputers: systems that package the company's highest-end data-center GPUs, CPUs, high-speed NVLink and NVSwitch interconnects…

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