Compute¶
What it is¶
Dedicated compute, as a bare metal or virtual machine instance, running on Intel® processors.
Why use¶
Accelerate AI development for training and inference, applications, and micro-services
Evaluate performance of AI/ML workloads running on Intel® processors
Get compute resources for free (on some processors), coupon credits, and competitive price-performance
Leverage AI-Accelerators for premium or enterprise accounts
flowchart TD b("Bare Metal") --> d("General use: CPU, GPU, AI-accelerated processors") c("Virtual Machines") --> e("Manage workloads: CPU and AI applications")
Type |
Description |
Memory |
Typical Use Case(s) |
---|---|---|---|
Bare Metal (BM) |
Bare metal compute instances are intended for general use and deploying CPU, GPU, and AI-accelerated processors. Current offerings include: 4th Generation Intel® Xeon® Scalable processors; Intel® Max Series GPU (PVC); Habana Gaudi2 Deep Learning Server. |
256GB and 1TB |
AI and core computing. |
Virtual Machine (VM) |
VM compute instances are intended for managing workloads in CPU and AI applications. They help support developers world-wide to test and experiment with on-demand workloads and applications. A VM requires a hypervisor, which consumes some of its computing power. Current offerings include: 4th Generation Intel® Xeon® Scalable processors. |
16GB (small), 32GB (medium), and 64GB (large). |
Workload testing and application development using CPUs, GPUs, and memory in the Intel ecosystem. |
Where to start¶
In Compute, you can:
Launch an instance to test and evaluate AI/ML workloads in a few steps
Discover performance improvements using Intel® Gaudi® AI accelerator for GenAI and LLMs
Learn how Intel® Advanced Vector Extensions 512 (Intel® AVX-512) speed development on the Intel® Xeon® processor family