GPU

Omnilert Unveils Third Generation of its AI Visual Gun Detection System, Increasing Technology Leadership on Performance, Accuracy and Ease of Use

Retrieved on: 
Wednesday, February 21, 2024

LEESBURG, Va., Feb. 21, 2024 /PRNewswire/ -- Omnilert, a leader in active shooter solutions, today announced the release of its third generation AI visual gun detection system, featuring significant advancements designed to further advance the industry's most effective gun detection system. As the only solution to deliver a unique combination of detection, verification, activation and notification, Omnilert Gun Detect now protects hundreds of schools, universities, hospitals, retail and commercial buildings, and other organization facilities and campuses around the country. The enhancements made in this new release increase the company's technology leadership with hardware efficiency, enterprise management and gun detection accuracy.

Key Points: 
  • The enhancements made in this new release increase the company's technology leadership with hardware efficiency, enterprise management and gun detection accuracy.
  • Omnilert Gun Detect is an AI-powered visual gun detection software that delivers reliable, 24/7 monitoring of gun threats using existing security cameras.
  • In contrast, Omnilert's proprietary data centric AI model does not simply compare objects to a database of known gun images.
  • This ensures higher detection accuracy and efficiency in processing which translates into lower hardware requirements.

On-Device Generative AI Expected to Drive Heterogenous AI Chipset Shipments to Over 1.8 Billion by 2030

Retrieved on: 
Wednesday, February 21, 2024

NEW YORK, Feb. 21, 2024 /PRNewswire/ -- Generative Artificial Intelligence (AI) workloads have moved beyond the bounds of cloud environments and can now run on-device supported by implementing heterogeneous AI chipsets. Combined with an abstraction layer that can efficiently distribute AI workloads between processing architectures and compressed LLMs with under 15 billion parameters, these chipsets can enable enterprises and consumers to run generative AI inferencing locally. Consequently, ABI Research, a global technology intelligence firm, estimates worldwide shipments of heterogeneous AI chipsets will reach over 1.8 billion by 2030 as laptops, smartphones, and other form factors will increasingly ship with on-device AI capabilities.  

Key Points: 
  • Consequently, ABI Research, a global technology intelligence firm, estimates worldwide shipments of heterogeneous AI chipsets will reach over 1.8 billion by 2030 as laptops, smartphones, and other form factors will increasingly ship with on-device AI capabilities.
  • "Cloud deployment will act as a bottleneck for generative AI to scale due to data privacy, latency, and networking cost concerns.
  • "What's new is the generative AI workloads running on heterogenous chipsets, which distribute workloads at the hardware level between CPU, GPU, and NPU.
  • The productivity AI applications running on-device, powered by heterogeneous AI chipsets, will drive significant market growth in personal and work devices.

On-Device Generative AI Expected to Drive Heterogenous AI Chipset Shipments to Over 1.8 Billion by 2030

Retrieved on: 
Wednesday, February 21, 2024

NEW YORK, Feb. 21, 2024 /PRNewswire/ -- Generative Artificial Intelligence (AI) workloads have moved beyond the bounds of cloud environments and can now run on-device supported by implementing heterogeneous AI chipsets. Combined with an abstraction layer that can efficiently distribute AI workloads between processing architectures and compressed LLMs with under 15 billion parameters, these chipsets can enable enterprises and consumers to run generative AI inferencing locally. Consequently, ABI Research, a global technology intelligence firm, estimates worldwide shipments of heterogeneous AI chipsets will reach over 1.8 billion by 2030 as laptops, smartphones, and other form factors will increasingly ship with on-device AI capabilities.  

Key Points: 
  • Consequently, ABI Research, a global technology intelligence firm, estimates worldwide shipments of heterogeneous AI chipsets will reach over 1.8 billion by 2030 as laptops, smartphones, and other form factors will increasingly ship with on-device AI capabilities.
  • "Cloud deployment will act as a bottleneck for generative AI to scale due to data privacy, latency, and networking cost concerns.
  • "What's new is the generative AI workloads running on heterogenous chipsets, which distribute workloads at the hardware level between CPU, GPU, and NPU.
  • The productivity AI applications running on-device, powered by heterogeneous AI chipsets, will drive significant market growth in personal and work devices.

Global Artificial Intelligence Server Market Analysis Report 2023-2029: The Role of Specialized Accelerators and Growing Complexity of Neural Networks Fueling Demand

Retrieved on: 
Wednesday, February 21, 2024

DUBLIN, Feb. 20, 2024 /PRNewswire/ -- The "Global Artificial Intelligence Server Market (2023 Edition): Analysis By Value and Unit Shipment, Server Type (Data, Training, Inference, Others), AI Server Infrastructure, Hardware Architecture, End-use, By Region, By Country: Market Insights and Forecast (2019-2029)" report has been added to ResearchAndMarkets.com's offering.

Key Points: 
  • DUBLIN, Feb. 20, 2024 /PRNewswire/ -- The "Global Artificial Intelligence Server Market (2023 Edition): Analysis By Value and Unit Shipment, Server Type (Data, Training, Inference, Others), AI Server Infrastructure, Hardware Architecture, End-use, By Region, By Country: Market Insights and Forecast (2019-2029)" report has been added to ResearchAndMarkets.com's offering.
  • The Global Artificial Intelligence Server Market is expected to generate USD 72.6 Billion by the end of 2029, up from USD 17.5 Billion in 2022.
  • During the forecast period, 2024-2029, the Global Artificial Intelligence Server Market is expected to expand at a CAGR of 25%.
  • Global Artificial Intelligence Server Market: Historic and Forecast (2019-2029)
    Global Artificial Intelligence Server Market: AI Semiconductor Market
    Global Artificial Intelligence Server Market: Regular & GPU Server market
    Global Artificial Intelligence Server Market: BOM Cost Comparison
    Global Artificial Intelligence Server Market: Chipset Sales & Comparison
    Global Artificial Intelligence Server Market: AI Servers Growth & China AI server Market
    Global Artificial Intelligence Server Market: Dashboard
    Global Artificial Intelligence Server Market: Market Value Assessment, 2019-2029 (USD Billion)
    Global Artificial Intelligence Server Market: Market Volume Assessment, 2019-2029 (in Million Units)
    Global Artificial Intelligence Server Market Segmentation: By Server Type
    Global Artificial Intelligence Server Market, By Server Type Overview
    Global Artificial Intelligence Server Market Size, By AI Data Server, By Value, 2019H-2029F (USD Billion & CAGR)
    Global Artificial Intelligence Server Market Size, By AI Training Server, By Value, 2019H-2029F (USD Billion & CAGR)
    Global Artificial Intelligence Server Market Size, By AI Inference Server, By Value, 2019H-2029F (USD Billion & CAGR)
    Global Artificial Intelligence Server Market Size, By Other Server Types, By Value, 2019H-2029F (USD Billion & CAGR)
    Global Artificial Intelligence Server Market Segmentation: By AI Server Infrastructure
    Global Artificial Intelligence Server Market, By AI Server Infrastructure Overview
    Global Artificial Intelligence Server Market Size, By Cloud, By Value, 2019H-2029F (USD Billion & CAGR)
    Global Artificial Intelligence Server Market Size, By On-premise, By Value, 2019H-2029F (USD Billion & CAGR)
    Global Artificial Intelligence Server Market Size, By Edge, By Value, 2019H-2029F (USD Billion & CAGR)
    Global Artificial Intelligence Server Market Segmentation: By Hardware Architecture
    Global Artificial Intelligence Server Market, By Hardware Architecture Overview
    Global Artificial Intelligence Server Market Size, By GPU Servers, By Value, 2019H-2029F (USD Billion & CAGR)
    Global Artificial Intelligence Server Market Size, By ASIC Servers, By Value, 2019H-2029F (USD Billion & CAGR)
    Global Artificial Intelligence Server Market Size, By FPGA Servers, By Value, 2019H-2029F (USD Billion & CAGR)
    Global Artificial Intelligence Server Market Size, By Other Server Architecture, By Value, 2019H-2029F (USD Billion & CAGR)
    Global Artificial Intelligence Server Market Segmentation: By End-use
    Global Artificial Intelligence Server Market, By End-use Overview
    Global Artificial Intelligence Server Market Size, By IT & Telecommunication, By Value, 2019H-2029F (USD Billion & CAGR)
    Global Artificial Intelligence Server Market Size, By Transportation and Automotive, By Value, 2019H-2029F (USD Billion & CAGR)
    Global Artificial Intelligence Server Market Size, By BFSI, By Value, 2019H-2029F (USD Billion & CAGR)
    Global Artificial Intelligence Server Market Size, By Retail and Ecommerce, By Value, 2019H-2029F (USD Billion & CAGR)
    Global Artificial Intelligence Server Market Size, By Healthcare and Pharmaceutical, By Value, 2019H-2029F (USD Billion & CAGR)
    Global Artificial Intelligence Server Market Size, By Industrial Automation, By Value, 2019H-2029F (USD Billion & CAGR)

ZIXI AND VERIZON BUSINESS TEAM TO OFFER NEXT-GENERATION 5G M&E WORKFLOWS

Retrieved on: 
Tuesday, February 20, 2024

WALTHAM, Mass., Feb. 20, 2024 /PRNewswire/ -- Zixi, the industry leader for enabling dependable, low latency, live broadcast-quality video over any IP network, and provider of the award-winning Software-Defined Video Platform (SDVP®) today announced an executed co-sell agreement with Verizon, coupling their world-class network infrastructure with Zixi's industry-leading live IP video software-defined solutions to deliver customer excellence through the power of a best-of-breed collaboration for live linear and live event workflows across the media supply chain.

Key Points: 
  • Leveraging the modularity and flexibility of the SDVP, operations and engineering teams can quickly and reliably deploy live video routes that maximize the performance of 5G networks.
  • Users can now deploy Zixi Broadcasters using Zixi ZEN Master and have access to comprehensive telemetry data on the network, transport, intra-cloud delivery, and associated edge devices in the end-to-end workflow.
  • This increased efficiency reduces the complexity and cost associated with managing implementations at scale, delivering more sustainable workflows with significant cost savings.
  • "Working closely with Verizon, we are bringing the industry an excellent 5G solution for live linear and event-based video use cases," said Eric Bolten, VP Business Development, Zixi.

SQream Showcases Pioneering Big Data Analytics Solutions for the Telecom Industry at MWC Barcelona 2024

Retrieved on: 
Tuesday, February 20, 2024

NEW YORK, Feb. 20, 2024 /PRNewswire/ -- SQream, the scalable GPU data analytics platform, is set to make a significant impact at the Mobile World Congress (MWC) Barcelona 2024. The company will present its cutting-edge solutions designed to empower the telecom industry with advanced data processing and analytics capabilities. Showcasing its pioneering geolocation analytics feature within its acclaimed SQL engine, SQream will demonstrate how mobile-first enterprises can leverage unparalleled efficiency and performance in data analytics to navigate the complexities of the digital era.

Key Points: 
  • NEW YORK, Feb. 20, 2024 /PRNewswire/ -- SQream, the scalable GPU data analytics platform, is set to make a significant impact at the Mobile World Congress (MWC) Barcelona 2024.
  • The company will present its cutting-edge solutions designed to empower the telecom industry with advanced data processing and analytics capabilities.
  • Showcasing its pioneering geolocation analytics feature within its acclaimed SQL engine, SQream will demonstrate how mobile-first enterprises can leverage unparalleled efficiency and performance in data analytics to navigate the complexities of the digital era.
  • Meet SQream at Mobile World Congress (MWC) in Barcelona - Visit the SQream booth #5G61 in the Israeli Pavilion, Hall 5, to learn how you can seamlessly handle complexity at petabyte-scale queries.

SQream Showcases Pioneering Big Data Analytics Solutions for the Telecom Industry at MWC Barcelona 2024

Retrieved on: 
Tuesday, February 20, 2024

NEW YORK, Feb. 20, 2024 /PRNewswire/ -- SQream, the scalable GPU data analytics platform, is set to make a significant impact at the Mobile World Congress (MWC) Barcelona 2024. The company will present its cutting-edge solutions designed to empower the telecom industry with advanced data processing and analytics capabilities. Showcasing its pioneering geolocation analytics feature within its acclaimed SQL engine, SQream will demonstrate how mobile-first enterprises can leverage unparalleled efficiency and performance in data analytics to navigate the complexities of the digital era.

Key Points: 
  • NEW YORK, Feb. 20, 2024 /PRNewswire/ -- SQream, the scalable GPU data analytics platform, is set to make a significant impact at the Mobile World Congress (MWC) Barcelona 2024.
  • The company will present its cutting-edge solutions designed to empower the telecom industry with advanced data processing and analytics capabilities.
  • Showcasing its pioneering geolocation analytics feature within its acclaimed SQL engine, SQream will demonstrate how mobile-first enterprises can leverage unparalleled efficiency and performance in data analytics to navigate the complexities of the digital era.
  • Meet SQream at Mobile World Congress (MWC) in Barcelona - Visit the SQream booth #5G61 in the Israeli Pavilion, Hall 5, to learn how you can seamlessly handle complexity at petabyte-scale queries.

$148 Billion Chiplet Market by Processor, Packaging Technology - Global Forecast to 2028

Retrieved on: 
Monday, February 19, 2024

This research report categorizes the chiplet market on the basis of processor, packaging technology, end-use application, and region.

Key Points: 
  • This research report categorizes the chiplet market on the basis of processor, packaging technology, end-use application, and region.
  • The report describes the major drivers, restraints, challenges, and opportunities pertaining to the chiplet market and forecasts the same till 2028.
  • Asia Pacific is expected to hold a major market share for chiplet market during the forecast period.
  • Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in the chiplet market

Successful demonstration of computing and mobile networks convergence to provide diverse services in the 6G era

Retrieved on: 
Thursday, February 22, 2024

Figure 1 Conventional Network Function, and Communication Service

Key Points: 
  • Figure 1 Conventional Network Function, and Communication Service
    Existing mobile networks transfer data independently of device and cloud data processing.
  • On the other hand, 6G requires that device and cloud services work together closely to realize advanced services such as cyber-physical convergence(3).
  • Demonstration experiments on the convergence of mobile network and computing for 6G were conducted in the following areas.
  • We are a leading global technology company providing services to consumers and business as a mobile operator, infrastructure, networks, applications, and consulting provider.

What is CHAI AI's Chaiverse?

Retrieved on: 
Saturday, February 17, 2024

PALO ALTO, Calif., Feb. 17, 2024 /PRNewswire/ -- A lot of Chai users have been asking the question, "What is Chaiverse?" a feature currently obscurely advertised by the Chai developers. With a recent valuation of $450M, the Chai AI team has been pouring their funding into the development of Chaiverse, with the aim of connecting world-class Large Language Model (LLM) developers directly to millions of Chat AI consumers, offering each user a tailor-made combination of LLMs. This article provides a deep dive into the Chaiverse mechanism, how it works, and its implications for users.

Key Points: 
  • Unlike other Generative AI products, which typically offer models developed in-house, Chai AI has recently introduced their model developer platform, Chaiverse .
  • Chai AI's research team purport to be lazer-focussed on exploring what makes each Large Language Model (LLM) unique and to improve person-to-LLM recommendations.
  • After the model is operational, users of the Chai App can engage with it through arena mode, providing immediate numerical and textual feedback to developers.
  • A: Yes, the Chai App primarily features interactions with AI-driven bots, trained to mimic human-like conversations and behaviors.