Deep Learning Frameworks at your fingertips
Start your AI Journey Now – What is AI and why it matters to your business
Academic researches are using deep learning to achieve cutting edge results, staying competitive on the global level and attracting funding. Researchers are using Deep Learning to solve some of today’s toughest scientific challenges in the fastest way.
IBM business partner Elinar is enabling their customers to mine huge amounts of GDPR data, specifically offering AI models for GDPR consent identification and data identification and extraction, helping users to achieve compliance at lower cost and higher quality.
Find out more about how we are doing this
Expanding the value from AI
Hear from Chris Parsons' now to learn about the difference between on-premise and cloud AI solutions and how GPU technology can deliver extraordinary performance to your AI solution
58x faster, accelerating training times from 15 days to 7 hours.
Optimise your infrastructure for AI workloads to reduce your time to insight and increase business value. With the Distributed Deep Learning on PowerAI you can achieve record performance.
Is it time to take the next step? Continue your AI journey with a free Cognitive Workshop.
Don’t hit the infrastructure wall. Find the right solution for AI.
It takes orchestration to bring your AI goals to fruition. According to IDC, 23% of businesses haven’t identified the right software or algorithms for the AI solution they're considering, and 77% feel limited by their infrastructure. Learn how to quickly move past roadblocks on your AI journey and realize the operational gains of machine intelligence.
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, IBM has a range of solutions that augment and accelerate your problem-solving capabilities.
An integrated approach to hardware, software and data
IBM IT infrastructure 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
IBM has 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 optimization to open-source deep learning frameworks, IBM has the software to help you train, deploy, and optimize across thousands of cores.
Fast and flexible platforms for AI
Applications built with machine learning and deep learning push system demands to new heights. To crunch volumes of data at the speed AI requires, you need massive processing power, high throughput, and GPU acceleration.
Build a foundation for speed and scale with GPU-accelerated servers
IBM® Power Systems™ AC922 offers the fastest way to deploy accelerated databases and deep learning frameworks – with GPU acceleration and enterprise-class support.
Gain real-time insight and take advantage of open-source machine learning
The newest generation IBM Z® mainframe features 100% encryption, simplifies compliance and offers a robust cloud data center platform. With z14 you can apply machine learning to the valuable data that resides on the mainframe without moving data.
Apply machine learning to your most valuable data
IBM LinuxONE™ servers include up to 170 cores and up to 32TB memory, supporting the complex calculations of machine learning by giving enterprises access to the data that exists within their walls.
Software and frameworks to bring new intelligence to your enterprise
IBM solutions provide complete AI software platforms, as well as open-source and industry specific deep learning frameworks for faster training, access and insights.
Deploy a fully-optimized and supported platform for AI
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.
Tap into world’s leading cognitive computing platform
Watson on the IBM Cloud™ allows you to integrate the world's most powerful AI into your application, and store, train and manage your data in the most secure cloud.
Create better customer experiences with real-time insights
Machine Learning on IBM Z allows you to extract hidden value from the massive volumes of enterprise data already residing on the mainframe, making it easier to capture valuable insights in real time.
Jump-start ML/DL with an open-source framework
The TensorFlow open-source machine learning framework opens new options for applying cognitive technologies. IBM LinuxONE and Linux on IBM Z users can deploy the latest machine learning and deep learning research ideas to mission critical data without ever leaving the system.
Optimize your journey to AI from experimentation to production
New! IBM Reference Architecture for AI Infrastructure simplifies complex operations and reduces your risk.
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 optimize 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 advanced storage management of unstructured data for cloud, big data, analytics, objects and more.
Get end-to-end support for the deep learning workflow
Maximize utilization with cluster workload management that enables you to fine-tune how your jobs run all the way down to the GPU.
Resources
Your transformation starts here
This webinar explores your first steps into the world of AI: Use case scenarios, hardware and software considerations
What makes IBM different?
Curious to learn the secrets that make PowerAI different?
Join this webinar to understand the unique features that set it apart from other solutions on the market.
Demo: running an AI Vision task
Getting started with AI in under 30 minutes without having to write a single line of code and linking the results to a mobile app.
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