Is your IT infrastructure ready for AI and Cognitive computing?

77.1% of respondents said they ran into one or more limitations with their on-premise AI infrastructure. Among cloud users for cognitive, a remarkable 90.3% of organisations ran into such limitations.

(IDG Study of 100 early AI adopters)

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The key elements of a successful AI strategy

Whether you need an AI application built in-house, or cloud-based services to support your cognitive business, you will need a range of solutions that augment and accelerate your problem-solving capabilities.


An integrated approach to hardware, software and data

You need IT infrastructure that is designed with the big picture of AI in mind, with the right combination of systems, software and open-source frameworks to bring your IT up to speed for AI and deep learning success.



Speed and flexibility

IT Infrastructure with  the compute, throughput and GPU acceleration required for AI. Select from flexible hardware/software configurations to run AI in the cloud or on-premises.



The right software and algorithms

From workload management and core optimisation to open-source deep learning frameworks, you need the software to help you train, deploy, and optimise across thousands of cores.

“ seems evident that standard CPUs cannot sufficiently execute these AI tasks.” (IDG)

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Optimise your journey to AI from experimentation to production

IBM eliminates many of the bottlenecks along the AI and data journeys with optimisations, accelerated systems and software designed to scale and manage the AI workflow

Get productive faster with software that simplifies complex, time-intensive data science functions



Deploy a fully-optimised and supported platform for AI computing infrastructure. PowerAI provides a deep learning ecosystem for data scientists and developers, with frameworks pre-installed. Reduce training times from weeks and days to hours and minutes, with near-perfect scaling for up to 256 GPUs.

IBM Spectrum Conductor Deep Learning Impact

Build highly available and secure multi-tenant deep learning environments. End-to-end workflow tools and automation accelerate model training, optimisation and accuracy. Elastic training allows you to add or remove GPUs without restarting, and provides resiliency to failures.



Use servers that enable the cutting-edge AI innovation data scientists desire, with the reliability IT requires

IBM Power Systems AC922

Build a foundation for speed and scale with GPU-accelerated servers. The best enterprise server for AI computing infrastructure offers the fastest way to deploy accelerated databases and deep learning frameworks – with GPU acceleration and enterprise-class support.

IBM Power Systems LC921

Get the superior data throughput and storage capacity you need to meet the challenges of the AI era. IBM Power Systems LC921 is optimised for superior performance with a ~30% lower list price than equivalent x86 alternatives.

Rely on storage systems with the capacity and speed you need to support all phases of your AI workflow

IBM Spectrum Scale

Choose an enterprise-grade file system that speeds time to results for your AI computing projects. IBM Spectrum Scale spans all your data repositories, eliminates HDFS overhead, and provides the capacity needed for analytics and training with the performance required for AI system deployment.

IBM Elastic Storage Server

Gain the throughput needed for model training with this tuned all-flash storage system. Integrate with your existing data lake without the need to replicate. IBM ESS can deliver over 40GB/s of throughput and scale out to exabytes of storage.

IBM Systems AI Infrastructure Reference Architecture

Detailed guide of architecture that scales from PoC to a multi-tenant system that integrates into existing IT infrastructures.

Detailed Reference Guide

Get a comprehensive guide to delivering a productive proof of concept that can scale to serve your entire organisation and integrate into your existing IT infrastructure.

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Solution Brief

See how this architecture facilitates productive proof of concepts and allows growth into a multi-tenant, production system that enables sustained growth.

Build your own server

Customise a server that can handle the most advanced AI workloads

AI demands a foundation built for speed and scale. With IBM Power Systems, you can tackle new problems with NVIDIA Tesla V100 on the only architecture with NVIDIA NVLink — eliminating barriers between CPU and GPU.

Design your server

Customise a server based on your workload

Select the components you need to get more from the apps you have. Choose from configurations that scale for your next-generation apps. 

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Application-ready configurations

Solution-specific hardware recommendations

Get a server recommendation based on the open-source database you want to run.

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Choosing the right storage for AI?

AI systems are highly dependent on enormous volumes of data—both at rest in repositories and in motion in real time—to learn from experience, make connections and arrive at critical business decisions. 

Usage of AI is also expected to expand significantly in the not-so-distant future.

To deliver on the promise of AI, many organisations will require storage systems with five key attributes:

  1. Availability

  2. Reliability

  3. Performance

  4. Ease of use

  5. Automation

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Meet your high-performance storage requirements with affordable, industry-leading technology backed by guarantees covering flash performance, endurance and compression.


Manage data growth and enable multi-cloud initiatives with file, block and object solutions to modernise your infrastructure and support next-generation applications.

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Protect your critical business data with an integrated approach to backup and disaster recovery featuring quick installation, easy management and rapid data recovery.

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Management tools to fine-tune your AI workloads

The data you need to run your models is all over your enterprise. Find the software you need to optimise AI workloads across both compute and storage in the environments of your choice.

  • Manage data at scale and perform archive and analytics in place

  • Get end-to-end support for the deep learning workflow

Read about IBM Spectrum Family

Unlock the power of Cognitive with IBM Watson

Turn unstructured data into intelligence and competitive advantages

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AI Assistant

Integrate diverse conversation technology into your application. Build an AI assistant for a variety of channels, including mobile devices, messaging platforms, and even robots. More>


Embed AI, machine learning and deep learning to drive insights from data, wherever it resides. More > Watson Studio, Watson Machine Learning and Watson Knowledge Catalog.


Get insights through accelerated data optimisation capabilities. More > Discovery, Discovery News, Natural Knowledge Understanding and Knowledge Studio.


Identify and tag content then analyse and extract detailed information found in an image. Quickly and accurately tag, classify and train visual content using machine learning.  More >


Convert text and speech with the ability to customise models. More > Speech to Text, Text to Speech


Analyse text and extract meta-data from unstructured content.  More > Language Translator, Language Classifier.



Understand tone, personality, and emotional state. More > Personality Insights and Tone Analyser.

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