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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)

Supermicro Drives Advanced AI Capabilities to Edge Computing Environments with New Industry-Leading System Portfolio

Retrieved on: 
Tuesday, February 20, 2024

SAN JOSE, Calif., Feb. 20, 2024 /PRNewswire/ -- Supermicro, Inc. (NASDAQ: SMCI), a Total IT Solution Manufacturer for AI, Cloud, Storage, and 5G/Edge, is expanding its portfolio of AI solutions, allowing customers to leverage the power and capability of AI in edge locations, such as public spaces, retail stores, or industrial infrastructure. Using Supermicro application-optimized servers with NVIDIA GPUs makes it easier to fine-tune pre-trained models and for AI inference solutions to be deployed at the edge where the data is generated, improving response times and decision-making.

Key Points: 
  • "Supermicro has the broadest portfolio of Edge AI solutions, capable of supporting pre-trained models for our customers' edge environments," said Charles Liang, president and CEO of Supermicro.
  • Supermicro continues to provide the industry with optimized solutions as enterprises build a competitive advantage by processing AI data at their edge locations."
  • "The new Supermicro NVIDIA-Certified Systems, powered by the NVIDIA AI platform, are built to deliver the highest-performing accelerated computing infrastructure, as well as NVIDIA AI Enterprise software to help run edge AI workloads."
  • These GPUs give the Supermicro Hyper-E sufficient computing power to process AI workloads at edge environments where data is collected, analyzed, and stored.

Supermicro Drives Advanced AI Capabilities to Edge Computing Environments with New Industry-Leading System Portfolio

Retrieved on: 
Tuesday, February 20, 2024

SAN JOSE, Calif., Feb. 20, 2024 /PRNewswire/ -- Supermicro, Inc. (NASDAQ: SMCI), a Total IT Solution Manufacturer for AI, Cloud, Storage, and 5G/Edge, is expanding its portfolio of AI solutions, allowing customers to leverage the power and capability of AI in edge locations, such as public spaces, retail stores, or industrial infrastructure. Using Supermicro application-optimized servers with NVIDIA GPUs makes it easier to fine-tune pre-trained models and for AI inference solutions to be deployed at the edge where the data is generated, improving response times and decision-making.

Key Points: 
  • "Supermicro has the broadest portfolio of Edge AI solutions, capable of supporting pre-trained models for our customers' edge environments," said Charles Liang, president and CEO of Supermicro.
  • Supermicro continues to provide the industry with optimized solutions as enterprises build a competitive advantage by processing AI data at their edge locations."
  • "The new Supermicro NVIDIA-Certified Systems, powered by the NVIDIA AI platform, are built to deliver the highest-performing accelerated computing infrastructure, as well as NVIDIA AI Enterprise software to help run edge AI workloads."
  • These GPUs give the Supermicro Hyper-E sufficient computing power to process AI workloads at edge environments where data is collected, analyzed, and stored.

Recogni Raises $102 Million to Advance Next Generation AI Inference System for Generative AI and Intelligent Autonomy

Retrieved on: 
Tuesday, February 20, 2024

SAN JOSE, Calif., Feb. 20, 2024 /PRNewswire/ -- Recogni, Inc., the leader in AI-based computing, today announced the closing of $102 million in Series C funding, co-led by Celesta Capital and GreatPoint Ventures. Existing investors Mayfield, DNS Capital, BMW i Ventures, and SW Mobility Fund also participated. Joining the round are new investors Pledge Ventures and Tasaru Mobility Investments, a company wholly owned by Public Investment Fund (PIF), with debt provided by HSBC Innovation Banking. The funding will be used to drive next generation system development for AI inference solutions that boost performance and power efficiency while providing the lowest total cost of ownership.

Key Points: 
  • The funding will be used to drive next generation system development for AI inference solutions that boost performance and power efficiency while providing the lowest total cost of ownership.
  • Recogni's scalable, power-efficient AI inference acceleration technique promises to unlock new AI computing possibilities in critical areas like generative AI and intelligent autonomy.
  • Scorpio is the world's first 1000 TFLOPS (1 Peta-Flop) class inference solution at the lowest power for various inference applications.
  • Scorpio's performance validates Recogni's vision and ability in breaking barriers in AI compute with scalable performance, generation over generation.

Artificial Intelligence (AI) Supercomputer Market Research Report 2023: Focus on Processors/Compute, Storage, Memory, Interconnects - Global Forecast to 2028

Retrieved on: 
Monday, February 19, 2024

DUBLIN, Feb. 19, 2024 /PRNewswire/ -- The "Artificial Intelligence (AI) Supercomputer Market by Components (Processors/Compute, Storage, Memory, Interconnects), Deployment (Cloud, On-Premises), Application (Government, Academia and Research, Commercial) and Geography - Global Forecast to 2028" report has been added to ResearchAndMarkets.com's offering.

Key Points: 
  • DUBLIN, Feb. 19, 2024 /PRNewswire/ -- The "Artificial Intelligence (AI) Supercomputer Market by Components (Processors/Compute, Storage, Memory, Interconnects), Deployment (Cloud, On-Premises), Application (Government, Academia and Research, Commercial) and Geography - Global Forecast to 2028" report has been added to ResearchAndMarkets.com's offering.
  • Market for commercial application in the AI supercomputer market to witness the fastest growth during the forecast period.
  • Market Development: Comprehensive information about lucrative markets; the report analyses the AI supercomputer market across various regions.
  • Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in the AI supercomputer market.

$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.

Release joins NVIDIA Inception to bring AI environments tailored for NVIDIA stack and GPUs

Retrieved on: 
Thursday, February 15, 2024

Release plans to use the resources available through NVIDIA Inception to extend EaaS and make the promise of self-service AI a reality.

Key Points: 
  • Release plans to use the resources available through NVIDIA Inception to extend EaaS and make the promise of self-service AI a reality.
  • Release.ai is specially tailored for AI environments running on the NVIDIA stack and GPUs.
  • "Joining NVIDIA Inception marks a significant milestone in our journey towards revolutionizing the AI industry,” said Tommy McClung, co-founder and CEO of Release.
  • “At Release we streamline the AI technology stack, accelerating the extraction of valuable insights from data through cost-efficient, transient AI environments with Release.ai.

Lenovo and Anaconda Announce Agreement to Accelerate AI Development and Deployment

Retrieved on: 
Thursday, February 15, 2024

Key Points: 
  • View the full release here: https://www.businesswire.com/news/home/20240215334255/en/
    Lenovo and Anaconda Announce Agreement to Accelerate AI Development and Deployment (Photo: Business Wire)
    The rapidly evolving world of artificial intelligence, deep learning and generative AI is opening up new opportunities for businesses and data scientists.
  • Much of the AI innovation taking place today is driven by open-source software and cloud-based solutions, with Python being a leading software language for AI applications.
  • Planning for AI projects requires clear and thoughtful pathways to allocate the right hardware, software and skillsets to manage each stage of AI development.
  • By jointly providing resilient hardware and trusted software tools, Lenovo and Anaconda present data scientists, AI developers, and AI engineers an unrivaled platform to freely explore emerging techniques in AI/ML.

Lambda Raises $320M to Build a GPU Cloud for AI

Retrieved on: 
Thursday, February 15, 2024

The company will use this new equity financing to expand its AI cloud business, including Lambda’s popular on-demand and reserved cloud offerings.

Key Points: 
  • The company will use this new equity financing to expand its AI cloud business, including Lambda’s popular on-demand and reserved cloud offerings.
  • Founded in 2012, Lambda has over a decade of experience building AI infrastructure at scale and has amassed over 100,000 customer sign-ups on Lambda Cloud.
  • "Lambda is addressing a critical market need for accessible, affordable, highly-performant cloud infrastructure designed specifically for AI workloads.
  • Our ongoing partnership with Lambda expands customer choice and paves the way forward in state-of-the-art price-performance in AI."