GPU Instance

Definition

A cloud virtual machine equipped with one or more Graphics Processing Units (GPUs) for accelerated computing workloads, ideal for AI tasks.

Use Cases

Provider Equivalents

Frequently Asked Questions

When should I use GPU instances vs CPU instances?
Use GPU instances for parallelizable workloads like ML training, video encoding, 3D rendering, and scientific simulations. CPU instances are better for general-purpose web applications and sequential processing.
How much do GPU instances cost?
GPU instances are significantly more expensive than CPU instances. For example, an AWS p5.48xlarge costs around $98/hour on-demand, but spot pricing and reserved instances can reduce costs by 60-90%.

GPU Instance in Cloud Architecture

Understanding GPU Instance is important for cloud engineers and developers with foundational cloud experience. Cloud architects encounter this concept when designing systems for reliability, scalability, security, and cost-efficiency across Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), and Oracle Cloud Infrastructure (OCI).

In cloud Compute, GPU Instance is one of several foundational concepts that practitioners must master to design production-ready systems. Related concepts in the same domain include the terms listed in the See Also section below.

Canvas Cloud AI provides an AI-powered designer for cloud architecture diagrams where practitioners can visualise how GPU Instance fits into a broader system. Users describe their architecture in plain English and receive a diagram, Terraform export, and Learning Guide — all without leaving the browser.

Category: compute

Difficulty: intermediate

Related Terms

See Also