AI Server Architecture

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NVIDIA 800 VDC Architecture for AI Data Centers

800 VDC Architecture for Next-Generation AI Infrastructure Take a deeper dive into the 800 VDC server and data center design.

AI Data Center Server Rack: Design, Power, and

Explore AI data center server rack design, covering GPU density, power architecture, cooling systems, networking, and future infrastructure trends.

Best MCP Gateways and AI Agent Security Tools (2026)

As AI agents evolve from simple chatbots to autonomous systems managing critical business operations, two infrastructure layers have emerged as

Unleashing the Power of Model Context Protocol (MCP): A Game

Artificial Intelligence is evolving rapidly, and one of the most pressing challenges is enabling AI models to interact effectively with external tools, data sources, and APIs. The Model

What is an AI server?

AI servers are built for massive parallelization, repeatedly executing the same mathematical operations across enormous datasets. An AI server executes workloads by coordinating compute, memory,

Zep: A Temporal Knowledge Graph Architecture for Agent Memory

We introduce Zep, a novel memory layer service for AI agents that outperforms the current state-of-the-art system, MemGPT, in the Deep Memory Retrieval (DMR) benchmark.

Announcing Arm AGI CPU: The silicon foundation for

Arm introduces the Arm AGI CPU to power agentic AI infrastructure with rack-scale performance, efficiency and scalable compute for next-generation data centers.

NVIDIA Triton Inference Server

NVIDIA Triton Inference Server # Triton Inference Server is an open source inference serving software that streamlines AI inferencing. Triton Inference Server enables

Artificial Intelligence (AI) Servers – Intel

Learn about AI server components, key considerations to help inform AI server design and the potential benefits unlocked through optimal server architecture. AI

What Are the Key Components of AI Server Architecture?

Discover AI server architecture, including hardware and software components. Learn to optimize dedicated hosting for efficient machine learning

What is an AI server? Why artificial intelligence needs

AI servers are specialized systems using powerful GPUs for the intensive, parallel processing of AI models. AI servers are distinct from general-purpose servers,

Microsoft Foundry architecture

Microsoft Foundry organizes AI workloads through a layered architecture: a top-level Foundry resource for governance, projects for development isolation, and connected Azure services

Design and Develop a RAG Solution

Learn about what to consider when you design a large language model RAG solution, including each step of the development process and how to evaluate those steps.

Get started with AI and MCP

MCP client-server architecture MCP uses a client-server architecture that enables an AI-powered app (the host) to connect to multiple MCP servers

Building Scalable AI on Enterprise Data with NVIDIA

This architecture leverages SQL Server 2025''s native vector data type and distance search functions, alongside NIM microservices that expose an

Designing Data Centers for AI Clusters

The following sections lay out considerations of the AI Cluster design, focused on training clusters (and not inference clusters, whose overall design may vary in terms of GPU and storage nodes).

Marvell Announces Breakthrough Co-Packaged Optics

New Marvell AI accelerator (XPU) architecture enables higher bandwidth and longer reach scale-up fabric connections for custom AI servers.

Cloudflare Outlines MCP Architecture as Enterprises Confront

Cloudflare has outlined a reference architecture for scaling Model Context Protocol (MCP) deployments across the enterprise, positioning centralized governance, remote server

AI Agent Orchestration for Developers: The Complete 2026 Guide to

Multi-agent system inquiries surged 1,445% in 2025. If you''re still relying on single AI agents for complex development tasks, you''re leaving performance on the table. Here''s why AI agent orchestration for

A Jargon-Free Guide on How AI Server Architecture Works

Whether you''re deploying AI in your business, tinkering with a project, or just want to understand the tech shaping our world, this guide discusses what

Introducing Fabric MCP (Preview)

Standardised servers also expose schema and metadata so that agents can dynamically learn data structures. Microsoft already publishes MCP servers for a range of services — from Dev

STMicroelectronics expands 800 VDC AI datacenter power conversion

The expansion to 12V and 6V output stages reflects the industry move toward different server architectures requiring different power delivery topologies depending on GPU generation,

HPE announces industry''s first 100% fanless direct liquid

HPE has pioneered direct liquid cooling, the most effective way to cool next-generation AI systems 100% fanless direct liquid cooling systems architecture for

Building the AI Server

AI/ML demands are reshaping servers. Explore how CPUs, GPUs, FPGAs and AI accelerators drive performance for workloads like deep learning

Unity MCP | Assistant | 2.0.0-pre.1

Note The MCP Servers page (under AI > MCP Client) configures MCP servers that the Unity Assistant connects to. The Unity MCP page configures the MCP server that Unity exposes to external AI clients.

Navitas Unveils 800V–6V DC-DC Power Board for AI

Navitas Semiconductor has introduced a new DC-DC power delivery board (PDB) that converts directly from 800V to 6V in a single stage. The

Overview of MCP servers in Azure API Management

Learn how Azure API Management enables secure, scalable access to remote MCP servers for AI agents, including architecture and management

AI Model Serving Architecture: Building Scalable Inference APIs for

Learn how to design high-performance model serving systems with the right inference engines, APIs, hardware, scaling, and monitoring for enterprise AI workloads.

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