Overview

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The Iguazio Data Science Platform (“the platform”) provides enterprises with the flexibility to run applications on-premises (“on-prem”) or in an edge or hybrid cloud architecture. The platform was built from the ground up to maximize CPU utilization and leverage the benefits of non-volatile memory, 100 GbE remote direct memory access (RDMA), flash memory, and dense storage. This design enables the platform to achieve extreme performance while maintaining data consistency, at the lowest cost.

Hardware Configurations

The platform is available in two configurations, which differ in a variety of aspects, including the performance capacity, footprint, storage size, and scale capabilities:

Development Kit
A single data-node and single application-node cluster implementation. This configuration is designed mainly for evaluation trials and doesn’t include high availability (HA) or performance testing.
Operational Cluster
A scalable cluster implementation that is composed of multiple data and application nodes. This configuration was designed to achieve superior performance that enables real-time execution of analytics, machine-learning (ML), and artificial-intelligence (AI) applications in a production pipeline. The minimum requirement for HA support is three data nodes and three application nodes.

Deployment Methods

The platform supports three alternative deployment methods:

Cloud

Deployment on an Amazon Web Services (AWS) or Microsoft Azure cloud — either as part of your virtual private cloud (VPC) or virtual network (VNet) or as a software as a service (SaaS) in Iguazio’s cloud account.

Hardware specifications —

  • AWS — the data-node servers are based on the Intel Core i3 microprocessors family, and the application-node servers are based on Amazon EC2 M5 instances for compute-intensive workloads and on Amazon EC2 P3 instances for GPU workloads.
  • Azure — the data-node servers are based on Lsv2-series VMs, and the application-node servers are based on D16 v3 VM instances.
VM
On-prem deployment on virtual machines (VMs). See the Virtual-Machine (VM) Hardware Specifications.
Bare-Metal
On-prem deployment on physical machines (“bare-metal”). See the Bare-Metal Hardware Specifications.

Notes

  • All capacity calculations in the hardware specifications are performed using the base-10 (decimal) number system. For example, 1 TB = 1,000,000,000,000 bytes.

See Also