{"id":903421,"date":"2026-11-02T16:58:21","date_gmt":"2026-11-02T16:58:21","guid":{"rendered":"https:\/\/www.newsbeep.com\/us\/903421\/"},"modified":"2026-11-02T16:58:21","modified_gmt":"2026-11-02T16:58:21","slug":"the-50-hottest-edge-hardware-software-and-services-companies-2026-edge-computing-100","status":"publish","type":"post","link":"https:\/\/www.newsbeep.com\/us\/903421\/","title":{"rendered":"The 50 Hottest Edge Hardware, Software And Services Companies: 2026 Edge Computing 100"},"content":{"rendered":"

CRN\u2019s list of the 50 hottest edge computing hardware, software and services companies of 2026 includes some of the most innovative AI, cloud, chip, networking, server, storage and infrastructure providers on the planet.<\/p>\n

\"\"
\n
When it comes to edge computing, hardware is king for now in terms of how much companies are spending in this area. But that may change in 2029 when spending on services is projected to surpass hardware investments for edge projects.\n <\/p>\n

That\u2019s according to IDC\u2019s forecast from earlier this year that the edge computing market will nearly double in 2029 from the $265 billion mark it hit in 2025.<\/p>\n

While the \u201crapid adoption of AI-accelerated infrastructure and increasingly sophisticated edge systems\u201d is making hardware the top category for spending in the edge world, services could come out on top in a few years due to faster sales growth that is happening with Infrastructure-as-a-Service offerings, according to the research firm.<\/p>\n

What\u2019s driving this is the need for organizations to have \u201cscalable, flexible and cost-efficient consumption models\u201d that will help them \u201cmeet rising AI-driven compute requirements at the edge,\u201d IDC wrote in February.<\/p>\n

\u201cAs more workloads shift toward distributed and AI\u2011enabled environments, as\u2011a\u2011service offerings provide a critical foundation for managing capacity, optimizing costs and accelerating deployment across diverse industry use cases,\u201d the research firm said.<\/p>\n

As part of CRN\u2019s 2026 Edge Computing 100<\/a>, here are 50 vendors that are making big moves in the hardware, software and services categories.<\/p>\n

\"\"<\/p>\n

Aaeon<\/p>\n

Howard Lin<\/p>\n

CEO<\/p>\n

Aaeon is giving partners access to edge computing systems with novel chip architectures through a new partnership it announced with South Korean chip design company DeepX in June. As part of the partnership, Aaeon plans to incorporate DeepX\u2019s NPU technology into key products for compact, low-power and rugged AI systems.<\/p>\n

\"\"<\/p>\n

Advantech<\/p>\n

K.C. Liu<\/p>\n

Chairman, CEO<\/p>\n

Advantech is helping partners reduce the complexity of developing, deploying and managing edge AI systems with a unified edge-to-cloud architecture that is supported by a wide range of computing platforms. The technology, called the WISE-Edge Developer Architecture, features containerized deployment, digital twin synchronization, AI model management and device life-cycle management.<\/p>\n

\"\"<\/p>\n

Akamai<\/p>\n

Tom Leighton<\/p>\n

Co-Founder, CEO<\/p>\n

Akamai is building a unified, distributed grid for AI inference that \u201cintelligently\u201d routes AI workloads across 4,400 edge locations to \u201cbalance latency, cost and performance.\u201d The company said the Akamai Inference Cloud, powered by thousands of Nvidia RTX Pro 6000 Blackwell Server Edition GPUs, represents the \u201cindustry\u2019s first global-scale implementation\u201d of Nvidia\u2019s AI Grid reference design.<\/p>\n

\"\"<\/p>\n

Altera<\/p>\n

Raghib Hussain<\/p>\n

CEO and President<\/p>\n

San Jose, Calif.-based Altera is giving partners a new level of performance and efficiency for FPGA chips with its next Agilex2X portfolio. Equipped with enhanced AI tensor DSP blocks and the latest Arm CPU cores, these programmable chips are designed for a variety of purposes at the edge, including robotics and 4K video processing.<\/p>\n

\"\"<\/p>\n

Amazon Web Services<\/p>\n

Matt Garman<\/p>\n

CEO<\/p>\n

Amazon Web Services is making it easier for partners to deploy generative AI solutions at the edge with a new reference architecture for deploying a small language model with retrieval-augmented generation on AWS Local Zones or AWS Outposts. The latter product line now includes a second-generation single-rack offering with up to 2,688 vCPUs.<\/p>\n

\"\"<\/p>\n

Ambarella<\/p>\n

Fermi Wang<\/p>\n

President, CEO<\/p>\n

Ambarella is creating new edge computing opportunities in the channel with its power-efficient AI accelerator chips, which includes the new x7 product that can be fit into existing systems through a PCIe or USB connection. The company recently entered a long-term strategic distribution agreement with Macnica to expand channel availability in the West.<\/p>\n

\"\"<\/p>\n

AMD<\/p>\n

Lisa Su<\/p>\n

Chair, CEO<\/p>\n

AMD is expanding its embedded chip business to spark a new wave of opportunities for partners in the physical AI market. This includes the launch of its new Ryzen AI Embedded X100 series chips for robotics, industrial automation and other use cases as well as the new AMD Robotics Partner Network.<\/p>\n

\"\"<\/p>\n

Arm<\/p>\n

Rene Haas<\/p>\n

CEO<\/p>\n

Arm is seizing on its rich history of embedded chip design to power a new ecosystem of partners designing physical AI applications. The company is doing this through its new Arm Total Design for Physical AI program, which has been adopted by more than 80 companies, as well as the new Robotics Capability Framework.<\/p>\n

\"\"<\/p>\n

Armada<\/p>\n

Dan Wright<\/p>\n

Co-Founder, CEO<\/p>\n

Armada is enabling a new wave of edge computing applications with its modular data centers, which now includes the 10-megawatt Orion infrastructure product that will be compatible with Nvidia\u2019s new Vera Rubin rack-scale AI platform.<\/p>\n

\"\"<\/p>\n

Asus<\/p>\n

Samson Hu, S.Y. Hsu<\/p>\n

Co-CEOs<\/p>\n

Asus is creating the foundation for a wide range of edge computing applications with a comprehensive portfolio of products. Among these products is the new Asus Industrial Edge Server that uses Intel Core Ultra Series 3 processors to provide a rugged, fanless system for machine vision, video analytics and other use cases.<\/p>\n

\"\"<\/p>\n

Axelera AI<\/p>\n

Fabrizio Del Maffeo<\/p>\n

Co-Founder, CEO<\/p>\n

Axelera AI is giving partners an alternative to Nvidia GPUs for edge computing with power-efficient AI accelerator chips at a fraction of the cost. After launching a global partner program last year, the company has more than quadrupled its partner roster as it releases its newest chip product, Europa.<\/p>\n

\"\"<\/p>\n

Axonis<\/p>\n

Todd Barr<\/p>\n

CEO<\/p>\n

Axonis is bringing secure, real-time AI to the edge with a platform \u201cthat runs locally, enforces policy and supports auditable decisions even in air-gapped or mission-critical environments.\u201d The company recently unveiled Axonis Mission Node, a self-contained mission intelligence environment for defense operations at the edge.<\/p>\n

\"\"<\/p>\n

Broadcom<\/p>\n

Hock Tan<\/p>\n

President, CEO<\/p>\n

Broadcom is giving partners and customers within its purview a unified infrastructure platform for running hundreds or thousands of edge locations with the recent release of VMWare Cloud Foundation Edge 9.1. Among the features is enhanced NVMe memory tiering, which is meant to cut down on hardware costs.<\/p>\n

\"\"<\/p>\n

Datavault AI<\/p>\n

Nathaniel T. Bradley<\/p>\n

CEO, Director<\/p>\n

Datavault AI seeks to provide improved failover, redundancy and uptime for data monetization, tokenization and AI workloads with its geographically distributed mini data centers at the edge. The company plans to deploy these GPU-accelerated mini data centers in more than 100 U.S. metropolitan markets.<\/p>\n

\"\"<\/p>\n

Dell Technologies<\/p>\n

Michael Dell<\/p>\n

Founder, Chairman, CEO<\/p>\n

Dell Technologies is giving partners what it\u2019s calling the \u201cindustry\u2019s first\u201d outdoor x86 server for cloud RAN and edge AI applications. Designed for unprotected outdoor environments, the PowerEdge XR9700 packs an Intel Xeon 6 system-on-chip and a \u201cfirst-of-its-kind\u201d closed-loop liquid cooling to enable consistent operations.<\/p>\n

\"\"<\/p>\n

Eaton<\/p>\n

Paulo Ruiz<\/p>\n

CEO<\/p>\n

Eaton is bringing distributed intelligence, automation and control closer to utility assets with its Digital Grid Edge platform. Built to enable rapid application deployment and updates with security embedded at every layer, the platform is meant to support \u201ccontinually evolving functionalities for a wide range of use cases.\u201d<\/p>\n

\"\"<\/p>\n

Emerson Electric<\/p>\n

Lal Karsanbhai<\/p>\n

President, CEO<\/p>\n

Emerson Electric seeks to simplify industrial IoT application, development and administration with PACEdge version 3.0, which brings AI capabilities and seamless application deployment to edge devices. New features include a group manager that allows \u201cteams to remotely manage groups of devices.\u201d<\/p>\n

\"\"<\/p>\n

Equinix<\/p>\n

Adaire Fox-Martin<\/p>\n

President, CEO<\/p>\n

Equinix is enabling a new wave of secure, low-latency AI experiences with the Equinix Inference Exchange, a new distributed AI inference program developed in partnership with Nvidia and Together AI that aims to give enterprises a \u201cfaster path from AI experimentation to production.\u201d<\/p>\n

\"\"<\/p>\n

Fastly<\/p>\n

Kip Compton<\/p>\n

CEO, Director<\/p>\n

Fastly is giving partners better controls for how customers use AI systems with new features on its edge cloud platform. These features include AI Runtime Control for governing AI access and usage, AI Firewall for protecting AI applications and API Security for controlling agents accessing enterprise APIs.<\/p>\n

\"\"<\/p>\n

Getac<\/p>\n

James Hwang<\/p>\n

Chairman, President<\/p>\n

Getac is equipping partners with AI-enabled rugged computers to help customers with \u201creal-time data processing, predictive analytics and AI-assisted decision-making\u201d in the harshest field environments. These products include the AMD-powered G140 rugged tablet, which features on-device AI processing and can operate in temperatures ranging from -20 degrees to 145 degrees Fahrenheit.<\/p>\n

\"\"<\/p>\n

Greensparc<\/p>\n

Sam Enoka<\/p>\n

Founder, CEO<\/p>\n

Greensparc is building \u201cmodular, utility-aligned\u201d data centers for remote communities. With a successful project in Alaska that uses a river running inside a hydroelectric facility to cool the server racks, the company says it can deliver significantly less expensive, faster and cleaner data centers than traditional builds.<\/p>\n

\"\"<\/p>\n

HP Inc.<\/p>\n

Bruce Broussard<\/p>\n

Interim CEO<\/p>\n

HP Inc. is helping partners bring high-performance AI computing closer to the edge with a slew of new PCs. These products include the new OmniBook X 15 laptop powered by Nvidia\u2019s RTX Spark system-on-chip as well as the new HP ZGX Fury desktop powered by Nvidia\u2019s GB300 Grace Blackwell Ultra Desktop Superchip.<\/p>\n

\"\"<\/p>\n

HPE<\/p>\n

Antonio Neri<\/p>\n

President, CEO<\/p>\n

HPE is enabling partners to build distributed networks of AI data centers at the edge with servers, routers, security and operations components built around Nvidia\u2019s AI Grid reference architecture. In addition to making use of ProLiant servers, the offering also includes HPE\u2019s Juniper PTX and MX networking platforms.<\/p>\n

\"\"<\/p>\n

IGEL<\/p>\n

Klaus Oestermann<\/p>\n

CEO
IGEL is helping partners secure and manage endpoints in distributed edge environments with new and evolving capabilities. These new capabilities include IGEL AI armor for AI-powered threat prevention, IGEL Insights for telemetry-powered intelligence to proactively manage endpoints, and IGEL OS for Arm to enable support for Arm-based IoT and low-power devices.<\/p>\n

\"\"<\/p>\n

Intel<\/p>\n

Lip-Bu Tan<\/p>\n

CEO<\/p>\n

Chip superstar Intel provides hardware, software platforms and industry suites for edge AI and real-time edge computing, including the recent launch of its Intel Core Services 2 processors. From Intel\u2019s Xeon 6 processors for edge and its Open Edge software stack for managing distributed edge infrastructure, Intel targets edge applications in industrial automation, telecommunications, retail and smart devices.<\/p>\n

\"\"<\/p>\n

Kneron<\/p>\n

Dr. Albert Liu<\/p>\n

Founder, Chairman, CEO<\/p>\n

Neural Processing Unit company Kneron continued to expand its full-stack edge AI portfolio this year via local on-device processing, energy efficiency and NPUs. Kneron\u2019s technology is built not only for energy efficiency and low latency, but to support the growing demand for scalable AI inference across AI PCs, enterprise systems, smart devices, automotive environments and intelligent infrastructure.<\/p>\n

\"\"<\/p>\n

Lanner Electronics<\/p>\n

Terence Chou<\/p>\n

CEO<\/p>\n

Lanner Electronics is a provider of network appliances, edge AI computers and rugged AI computing platforms. The company recently united its system-level hardware design with Qualcomm Cloud AI 100 Ultra hardware to provide a scalable foundation for telecom operators, private 5G providers and enterprises seeking to deploy local AI services.<\/p>\n

\"\"<\/p>\n

Lantronix<\/p>\n

Saleel Awsare<\/p>\n

President, CEO<\/p>\n

Lantronix\u00a0focuses on edge intelligence and Industrial IoT offerings that power unmanned systems, critical infrastructure and resilient enterprise networks. The company delivers intelligent computing,\u00a0connectivity\u00a0and remote management via a portfolio of hardware, software and services that power applications ranging from edge analytics for critical infrastructure to intelligent surveillance and secure network management.<\/p>\n

\"\"<\/p>\n

Lenovo<\/p>\n

Yuanqing Yang<\/p>\n

Chairman, CEO<\/p>\n

PC giant Lenovo owns a massive edge portfolio ranging from workstations and tablets to infrastructure offerings like server, storage and high-performance computing, as well as software and services. This year, Lenovo launched new AI-driven edge hardware including its new ThinkEdge SE Gen 2 product line and the ThinkEdge SE50a, Lenovo\u2019s first industrial all-in-one panel PC.<\/p>\n

\"\"<\/p>\n

Rick Tsai<\/p>\n

Vice Chairman, CEO<\/p>\n

MediaTek is a semiconductor company that designs microprocessors, Systems-on-Chip and connectivity offerings including network, phone and smart edge devices. The edge company says it powers over 2 billion connected devices every year with a focus this year on Wi-Fi 7\/Wi-Fi 8 technology and AI PCs.<\/p>\n

\"\"<\/p>\n

Microsoft<\/p>\n

Satya Nadella<\/p>\n

Chairman, CEO<\/p>\n

The world\u2019s largest software company has one of the broadest edge portfolios with popular offerings such as Microsoft\u2019s Azure IoT Edge that lets clients run AI on local edge devices, Private Edge Zones for low latency, as well as the Azure Stack Edge of hardware appliances that analyze data on-site.<\/p>\n

\"\"<\/p>\n

NetApp<\/p>\n

George Kurian<\/p>\n

CEO<\/p>\n

The storage giant has a slew of edge computing and IoT products that combine high-performance storage, data management and container orchestration for remote or distributed environments. NetApp\u2019s popular OnTap data management platform is built to run on remote, resource-constrained edge or IoT aggregation points.<\/p>\n

\"\"<\/p>\n

Nutanix<\/p>\n

Rajiv Ramaswami<\/p>\n

President, CEO<\/p>\n

Nutanix has several edge-specific platforms including the Nutanix Cloud Infrastructure Edge that combines compute, storage and networking tailored for remote-office\/branch-office and small edge deployments. The company also provides its Nutanix Cloud Manager Edge multi-cloud management and operations platform specifically for edge and end-user computing deployments.<\/p>\n

\"\"<\/p>\n

Nvidia<\/p>\n

Jensen Huang<\/p>\n

Co-Founder, President, CEO<\/p>\n

The semiconductor powerhouse brings its data center AI and accelerated chipsets to edge environments including embedded devices, rugged industrial systems, telecom networks and even orbital spacecraft. Nvidia\u2019s primary line for edge AI and robotics is the Nvidia Jetson Platform, while its IGX Platform is for ruggedized systems designed for industrial, medical and mission-critical edge environments.<\/p>\n

\"\"<\/p>\n

NXP Semiconductors<\/p>\n

Rafael Sotomayor<\/p>\n

President, CEO<\/p>\n

NXP Semiconductors designs and manufactures processors, sensors, integrated circuits and microcontrollers for edge computing with a focus on IoT, automotive and industrial environments. This year, the company launched its MCX A5 family of microcontrollers for industrial and IoT edge applications.<\/p>\n

\"\"<\/p>\n

OnLogic<\/p>\n

Sean Larkin<\/p>\n

CEO<\/p>\n

OnLogic is a global industrial manufacturer that designs highly configurable AI-capable computers engineered for reliability at the IoT edge, purpose-built to work in extremely harsh environments. In October, industrial automation specialist OMRON entered into an agreement to acquire OnLogic. The merger is expected to close in early 2027.<\/p>\n

\"\"<\/p>\n

Premio<\/p>\n

Crystal Tsao<\/p>\n

CEO<\/p>\n

Premio specializes in rugged edge and embedded computing offerings with engineering and manufacturing aimed at pushing the technical boundaries of IoT computers, AI devices at the edge and high-availability storage servers. In October, Premio launched its new 3.5-inch SBC Industrial Motherboard designed for compact, connected edge systems.<\/p>\n

\"\"<\/p>\n

Qualcomm<\/p>\n

Cristiano Amon<\/p>\n

President, CEO<\/p>\n

Qualcomm\u2019s edge computing and AI portfolio includes high-performance processors, on-premises appliances, developer boards and software ecosystems built for industrial automation, robotics, retail and IoT at the edge. Its popular Dragonwing IQ processors are purpose-built for edge AI use cases that integrate CPUs, GPUs and NPUs into a single System-on-Chip for customers.<\/p>\n

\"\"<\/p>\n

RealSense<\/p>\n

Nadav Orbach<\/p>\n

Founder, CEO<\/p>\n

RealSense\u2019s mission is to deliver perception systems for physical AI and safely integrate robotics and AI into everyday life by providing intelligent vision systems that help machines interact with the world at the edge. In September, Cognex unveiled its plan to acquire RealSense for $500 million.<\/p>\n

\"\"<\/p>\n

Red Hat<\/p>\n

Matt Hicks<\/p>\n

President, CEO<\/p>\n

Open-source software superstar Red Hat has a deep portfolio of cloud, developer, AI, Linux, automation and application platform technologies to enable any application anywhere, including at the edge. Red Hat invests in open ecosystems to expand hybrid cloud infrastructure out to data sources at the edge, remote locations and resource-constrained devices.<\/p>\n

\"\"<\/p>\n

Rockwell Automation<\/p>\n

Blake Moret<\/p>\n

Chairman, CEO<\/p>\n

Industrial automation giant Rockwell Automation provides a slew of edge computing hardware devices including edge compute modules, its LogixEdge Controllers and OptixEdge Advanced Edge gateways. The company also provides rugged industrial box and panel computers designed to host containerized software and custom applications in edge environments.<\/p>\n

\"\"<\/p>\n

Scale Computing<\/p>\n

William Morrow<\/p>\n

Chairman, CEO<\/p>\n

Hyperconverged edge computing specialist Scale Computing provides offerings designed to run applications and process data directly at remote or unstaffed locations without requiring local IT staff. One of its most popular solutions is the SC\/\/HyperCore Hypervisor that combines servers, storage, virtualization and disaster recovery into a single edge software stack.<\/p>\n

\"\"<\/p>\n

Schneider Electric<\/p>\n

Olivier Blum<\/p>\n

CEO<\/p>\n

From micro data centers designed for edge and distributed environments to power and cooling products like UPSes, Schneider Electric is a major hardware and software provider for the edge. Schneider also provides edge controllers and industrial PCs built for real-time visualization, anomaly detection, predictive maintenance and IoT integration at the edge.<\/p>\n

\"\"<\/p>\n

Siemens<\/p>\n

Roland Busch<\/p>\n

President, CEO<\/p>\n

Siemens provides compact IoT devices like its SIMATIC IoT Gateways for industrial data gathering and connectivity, high-performance industrial PCs, and on-premises edge connectivity devices designed to securely gather building data and provision it to Siemens Digital Services. Siemens has 318,000 employees globally and operates in over 200 countries, making it one of the world\u2019s largest edge providers.<\/p>\n

\"\"<\/p>\n

SiMa.ai<\/p>\n

Krishna Rangasayee<\/p>\n

Founder, CEO<\/p>\n

Physical AI specialist SiMa.ai has raised over $500 in funding with a focus on scaling its chips, modules and PCIe cards across robotics, automotive, drones, industrial automation, aerospace and defense, and health care. The company builds software-centric edge AI and machine learning products for generative AI applications at the embedded edge.<\/p>\n

\"\"<\/p>\n

Solidigm<\/p>\n

Xin Guo, Richard Chin<\/p>\n

Co-CEOs<\/p>\n

Solidigm is a pioneer in enterprise data storage with a focus today on enabling AI with its end-to-end portfolio for data centers and at the edge. Solidigm offers high-density and thermally resilient enterprise NVMe and QLC solid-state drives engineered to overcome space, power and environmental constraints in edge computing and edge AI deployments.<\/p>\n

\"\"<\/p>\n

StorMagic<\/p>\n

Susan Odle<\/p>\n

CEO, Director<\/p>\n

StorMagic is giving partners new ways to build resilient and manageable IT environments for remote and distributed locations through a new strategic agreement with Mako Networks. The arrangement is meant to fully address the needs of retail edge environments by combining StorMagic\u2019s edge-first virtualization platform with Mako\u2019s PCI-compliant networking expertise and control-plane capabilities.<\/p>\n

\"\"<\/p>\n

Syntiant<\/p>\n

Kurt Busch<\/p>\n

Co-Founder, CEO<\/p>\n

Syntiant\u2019s physical AI platform combines sensors, silicon, AI models and tools to enable real-time intelligence at the edge. Its platform supports offerings that run fully on-device while connecting to LLMs and other AI systems when needed. In June, Syntiant acquired Orosound and AudioSourceRE to add advanced AI audio processing and sound separation technologies to its machine learning models.<\/p>\n

\"\"<\/p>\n

Vertiv<\/p>\n

Giordano Albertazzi<\/p>\n

CEO<\/p>\n

Vertiv provides infrastructure and integrated offerings that bring data storage, power and cooling closer to users and devices via its Vertiv Edge Computing portfolio. The company\u2019s edge computing lineup consists of edge UPSes, PDUs, micro data centers and racks, power protection, liquid cooling, as well as remote management software.<\/p>\n

\"\"<\/p>\n

Zededa<\/p>\n

Said Ouissal<\/p>\n

Founder, CEO<\/p>\n

Edge computing specialist Zededa offers a cloud-native edge and orchestration product ecosystem built to deploy, manage and secure edge AI, containers and virtual machines across distributed hardware. In September, Zededa partnered with Ambarella to bring cloud-orchestrated AI and edge intelligence to physical edge devices.<\/p>\n","protected":false},"excerpt":{"rendered":"CRN\u2019s list of the 50 hottest edge computing hardware, software and services companies of 2026 includes some of…\n","protected":false},"author":2,"featured_media":903422,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[46],"tags":[24176,11194,191,282633,11200,13451,378139,74],"class_list":["post-903421","post","type-post","status-publish","format-standard","has-post-thumbnail","category-computing","tag-ai-infrastructure","tag-cloud-software","tag-computing","tag-cpus","tag-database-and-system-software","tag-edge-computing","tag-hyperconverged","tag-technology"],"_links":{"self":[{"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/posts\/903421","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/comments?post=903421"}],"version-history":[{"count":0,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/posts\/903421\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/media\/903422"}],"wp:attachment":[{"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/media?parent=903421"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/categories?post=903421"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/tags?post=903421"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}