BartDay
  • Economy
    • Business
    • Politics
  • Cryptocurrency
  • Investing
    • Banking
    • Forex
    • Financial Services
  • Markets
    • Capital Markets
    • Emerging Markets
  • People
    • Consumer & Retail
    • Health
    • Opinion
  • Environment
    • Energy
    • Industrials
    • Manufacturing
  • Technology
    • Learning
    • Auto & Transportation
    • Data
    • Science
    • Telecommunications
  • Featured
  • About
  • Economy
    • Business
    • Politics
  • Cryptocurrency
  • Investing
    • Banking
    • Forex
    • Financial Services
  • Markets
    • Capital Markets
    • Emerging Markets
  • People
    • Consumer & Retail
    • Health
    • Opinion
  • Environment
    • Energy
    • Industrials
    • Manufacturing
  • Technology
    • Learning
    • Auto & Transportation
    • Data
    • Science
    • Telecommunications
  • Featured
  • About
BartDay
BartDay
  • Economy
    • Business
    • Politics
  • Cryptocurrency
  • Investing
    • Banking
    • Forex
    • Financial Services
  • Markets
    • Capital Markets
    • Emerging Markets
  • People
    • Consumer & Retail
    • Health
    • Opinion
  • Environment
    • Energy
    • Industrials
    • Manufacturing
  • Technology
    • Learning
    • Auto & Transportation
    • Data
    • Science
    • Telecommunications
  • Featured
  • About

The Technical Architecture And Components Of A.I. Systems

  • June 8, 2023
  • 2 minute read
Total
0
Shares
0
0
0
0

An effective AI system relies on various technical, infrastructure, network, storage, compute, and service architecture components working together. Here are some of the key components.

Hardware.

– CPUs (Central Processing Units): General-purpose processors that can handle a variety of tasks, including AI workloads.


Partner with bartday.com. Kindly head here.


From our partners:

CITI.IO :: Business. Institutions. Society. Global Political Economy.
CYBERPOGO.COM :: For the Arts, Sciences, and Technology.
DADAHACKS.COM :: Parenting For The Rest Of Us.
ZEDISTA.COM :: Entertainment. Sports. Culture. Escape.
TAKUMAKU.COM :: For The Hearth And Home.
ASTER.CLOUD :: From The Cloud And Beyond.
LIWAIWAI.COM :: Intelligence, Inside and Outside.
GLOBALCLOUDPLATFORMS.COM :: For The World's Computing Needs.
FIREGULAMAN.COM :: For The Fire In The Belly Of The Coder.
ASTERCASTER.COM :: Supra Astra. Beyond The Stars.
BARTDAY.COM :: Prosperity For Everyone.


– GPUs (Graphics Processing Units): Originally designed for graphics rendering, GPUs are now widely used for parallel computation in AI, particularly in training deep learning models.

– TPUs (Tensor Processing Units): Specialised hardware accelerators designed specifically for AI workloads, such as deep learning model training and inference.

– FPGAs (Field-Programmable Gate Arrays): Reconfigurable integrated circuits that can be tailored for specific AI tasks, offering a balance between flexibility and performance.

Storage.

– Local storage: Fast storage devices like SSDs (Solid State Drives) or HDDs (Hard Disk Drives) provide storage for AI systems.

– Distributed storage: Scalable storage solutions like Hadoop HDFS or object storage (e.g., Amazon S3) enable storing and managing large datasets required for AI workloads.

– In-memory storage: High-speed memory storage systems like Redis or Apache Ignite can store frequently accessed data to accelerate AI processing.

Network.

– High-speed networking: Low-latency, high-bandwidth networks are crucial for efficient data transfer and communication between AI system components.

– Load balancing: Distributing AI workloads across multiple servers or clusters to optimize resource utilization and performance.

– Edge computing: Deploying AI models and processing at the network edge, closer to the data sources, can reduce latency and improve responsiveness.

Compute.

– Cloud computing: Public or private cloud infrastructure provides scalable computing resources for AI workloads, enabling rapid scaling and efficient resource utilization.

– On-premises data centers: Some organizations may prefer to build and maintain their data centers for AI workloads, especially when dealing with sensitive data or specific regulatory requirements.

– Serverless computing: Serverless platforms, like AWS Lambda or Google Cloud Functions, allow deploying AI models and processing as functions that automatically scale based on demand.

Image credits: Pexels – Manuel Geissinger

Software and frameworks.

– Machine learning frameworks: Libraries and tools like TensorFlow, PyTorch, and scikit-learn make it easier to develop, train, and deploy AI models.

– Data processing and analytics: Tools like Apache Spark, Hadoop, and Pandas enable efficient data processing, transformation, and analysis required for AI workloads.

– Containerization and orchestration: Technologies like Docker and Kubernetes simplify the deployment, management, and scaling of AI applications and services.

Services and APIs.

– AI Platform-as-a-Service (PaaS): Cloud providers offer AI platforms that abstract away underlying infrastructure and provide easy-to-use tools and services for developing, training, and deploying AI models.

– AI APIs: Pre-built AI models and services, such as natural language processing, computer vision, and speech recognition, can be accessed through APIs provided by cloud platforms or specialized AI vendors.

An effective AI system requires a well-integrated combination of these components, tailored to the specific requirements of the AI workload. Additionally, factors like security, privacy, and compliance must be considered to ensure responsible AI development and deployment.

Dean Marc

Part of the more nomadic tribe of humanity, Dean believes a boat anchored ashore, while safe, is a tragedy, as this denies the boat its purpose. Dean normally works as a strategist, advisor, operator, mentor, coder, and janitor for several technology companies, open-source communities, and startups. Otherwise, he's on a hunt for some good bean or leaf to enjoy a good read on some newly (re)discovered city or walking roads less taken with his little one.

Related Topics
  • AI
  • AI risk
  • AI systems
  • Algorithms
  • Artificial Intelligence
  • Cybersecurity
  • Education
  • Humanity
  • Intelligence
  • Machine Learning
  • schools of thought
  • Security
You May Also Like
IBM, ESPN Fantasy Football
Read More
  • 3 min
  • Technology

New IBM watsonx AI-Powered Insights Help Elevate ESPN Fantasy Football for 2025 Fantasy Football Season

  • September 27, 2025
Read More
  • 3 min
  • Technology

NVIDIA Blackwell Ultra Sets the Bar in New MLPerf Inference Benchmark

  • September 9, 2025
Read More
  • 11 min
  • Gears
  • Technology

Meet Samsung Galaxy Tab S11 Series: Packing Everything You Expect From a Premium Tablet

  • September 4, 2025
Read More
  • 4 min
  • Gears
  • Technology

Samsung Electronics Debuts Odyssey G7 Monitors, Showcasing Top Games on Its Displays at Gamescom 2025

  • August 20, 2025
Read More
  • 5 min
  • Technology

Thoughts on America’s AI Action Plan

  • July 24, 2025
Read More
  • 4 min
  • Technology

ESWIN Computing launches the EBC77 Series Single Board Computer with Ubuntu

  • July 17, 2025
Read More
  • 5 min
  • Technology

Formula E accelerates its work with Google Cloud Storage and Google Workspace

  • July 9, 2025
Read More
  • 13 min
  • Gears
  • Technology

Samsung Galaxy Z Fold7: Raising the Bar for Smartphones

  • July 9, 2025
  • Smart Watch
    Best Smartwatches, Your Gateway to Health Monitoring and Everyday Use
    • October 4, 2025
  • IBM, ESPN Fantasy Football
    New IBM watsonx AI-Powered Insights Help Elevate ESPN Fantasy Football for 2025 Fantasy Football Season
    • September 27, 2025
  • Cooking pots and pans
    Best Pots and Pans 2025: All-Season, All-Purpose Picks for Every Kitchen
    • September 22, 2025
  • Kitchen Knives - Best All-Around Picks in 2025
    Kitchen Knives : The Surgeons of Cooking – Best All-Around Picks in 2025
    • September 14, 2025
  • NVIDIA Blackwell Ultra Sets the Bar in New MLPerf Inference Benchmark
    • September 9, 2025
about
Unleash Your Financial Potential With Us

BartDay is your all-in source of information for market insights, finance news, investing, trading, and more.

Data and information is provided “as is”. BartDay and any of its information service providers or third party sources is not liable for loss of revenues or profits and damages.

For comments, suggestions, or sponsorships, you may reach us at [email protected]
  • Smart Watch 1
    Best Smartwatches, Your Gateway to Health Monitoring and Everyday Use
    • October 4, 2025
  • IBM, ESPN Fantasy Football 2
    New IBM watsonx AI-Powered Insights Help Elevate ESPN Fantasy Football for 2025 Fantasy Football Season
    • September 27, 2025
  • Cooking pots and pans 3
    Best Pots and Pans 2025: All-Season, All-Purpose Picks for Every Kitchen
    • September 22, 2025
  • Kitchen Knives - Best All-Around Picks in 2025 4
    Kitchen Knives : The Surgeons of Cooking – Best All-Around Picks in 2025
    • September 14, 2025
  • 5
    NVIDIA Blackwell Ultra Sets the Bar in New MLPerf Inference Benchmark
    • September 9, 2025
BartDay
  • Economy
  • Cryptocurrency
  • Investing
  • Markets
  • People
  • Environment
  • Technology
  • Featured
  • About
Unleash Your Financial Potential With Us

Input your search keywords and press Enter.