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In computing systems, compute refers to the amount of processing power needed to carry out operations, run programs, and process data. It includes:

General-purpose computations are handled by the CPU (central processing unit).
GPU (Graphics Processing Unit): Designed to process data in parallel (AI, graphics)
Tensor processing units, or TPUs, are specialized for tasks involving machine learning.
Field-Programmable Gate Arrays, or FPGAs, are hardware accelerators that can be reconfigured.

Modern computing encompasses serverless, virtualized, and containerized execution methods in addition to physical hardware.

Key Compute Technologies

Virtualization
Containerization
Serverless Computing
Edge Computing

Server Hardware Components

Processors: Intel Xeon, AMD EPYC, ARM-based chips
Memory: ECC RAM for error correction
Storage: HDDs, SSDs, NVMe for high-speed access
Network: 10/25/100Gbps Ethernet, RDMA for low-latency
Power: Redundant PSUs, UPS backup systems
Cooling: Liquid cooling solutions for high-density setups

Server Operating Systems

Linux: CentOS, Ubuntu Server, Red Hat Enterprise Linux
Windows: Windows Server 2022
BSD: FreeBSD, OpenBSD for networking applications
Specialized: VMware ESXi (bare-metal hypervisor)

Trends in Compute & Servers

AI-Optimized Hardware (GPUs/TPUs for ML workloads)
Quantum Computing (Emerging for complex problem-solving)
Green Computing (Energy-efficient data centers)
Hybrid Cloud (Mixing on-prem and cloud resources)
DPUs (Data Processing Units) – Offload networking/storage tasks from CPUs

Choosing Compute Resources

Workload type (CPU-intensive vs. memory-bound)
Scalability needs (Predictable vs. variable demand)
Budget (CapEx vs. OpEx models)
Compliance (Data residency requirements)
Latency sensitivity (Edge vs. cloud deployment)

Compute infrastructure is always changing to satisfy needs for efficiency, scalability, and performance, from physical servers to serverless activities. Organizations can optimize their IT infrastructure for contemporary demands by comprehending these principles.

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