IBM Commits $1.2 Billion to Expand Cloud Footprint

January 17, 2014

ARMONK, N.Y., Jan. 17 — IBM today announced plans to commit over $1.2 billion to significantly expand its global cloud footprint. This investment includes a network of data centers designed to bring clients greater flexibility, transparency and control over how they manage their data, run their businesses and deploy their IT operations in the cloud.

This year IBM plans to deliver cloud services from 40 data centers worldwide in 15 countries and five continents globally, including North America, South America, Europe, Asia and Australia. IBM will open 15 new centers worldwide adding to the existing global footprint of 13 global data centers from SoftLayer and 12 from IBM. Among the newest data centers to launch are China, WashingtonD.C., Hong Kong, London, Japan, India, Canada, Mexico City and Dallas. With this announcement, IBM plans to have data centers in all major geographies and financial centers with plans to expand in the Middle East and Africa in 2015.

By some estimates, the global cloud market is set to grow to $200 billion by 2020; driven largely by businesses and government agencies deploying cloud services to market, sell, develop products, manage their supply chain and transform their business practices.

“IBM is continuing to invest in high growth areas,” said Erich Clementi, senior vice president of IBM Global Technology Services. “Last year, IBM made a big investment adding the $2 billion acquisition of SoftLayer to its existing high value cloud portfolio. Today’s announcement is another major step in driving a global expansion of IBM’s cloud footprint and helping clients drive transformation.”

The new cloud investments IBM is making will provide business clients the ability to place and control their data globally. IBM SoftLayer gives clients the ability to choose a cloud environment and location that best suits their business needs and provides visibility and transparency to where data reside, control of data security and placement.

IBM SoftLayer is able to deliver high performance services globally across the SoftLayer network. The combination of distributed local data centers and a global network allows clients to place data where it is required, when it is required as well as the ability to consolidate or aggregate data as needed. This provides optimized application performance and responsiveness. SoftLayer’s unique network architecture allows clients to optimize global performance using a private network and not be subject to the uncontrolled nature of the public networks and the internet.

“Cloudant’s global expansion rate is fueled by the always-on commitment we make to our customers,” said Cloudant CEO Derek Schoettle. “Our mission is to be the standard data layer for Web and mobile applications. That mission requires us to push application data to the network edge, in as many locations as possible. Expanding beyond IBM SoftLayer’s current footprint presents significant value to our business. The investment IBM is making to expand their global footprint will not only help fuel our growth, but the growth of thousands of Cloudant users worldwide as well.”

In today’s world of rapid response with mobile and social data proliferation, this type of automation and speed of access to data with high availability and control makes IBM SoftLayer cloud infrastructure an ideal capability for business clients worldwide.

“Cloud represents a growing area for venture capitalist investment,” said Ann Winblad, co-founder and Managing Director of Hummer Winblad Venture Partners. “By investing in the cloud ecosystem, IBM not only makes it easier for enterprises to adopt cloud and drive innovation, but also helps new companies of all sizes get off the ground more quickly.”

IBM SoftLayer Underpins IBM’s Growing Cloud Portfolio 

The acquisition of SoftLayer represents another major investment for IBM clients. Since its acquisition in 2013, IBM SoftLayer has served nearly 2,400 new cloud clients.

In fact, IBM plans to establish SoftLayer as the foundation of its wide ranging cloud portfolio. The SoftLayer infrastructure will provide a scalable, secure base for the global delivery of cloud services spanning IBM’s extensive middleware and SaaS solutions.  SoftLayer’s flexibility and global network will also facilitate faster development, deployment and delivery of mobile, analytic, social solutions as clients adopt cloud as a delivery platform for IT operations and manage their business.  

Last week IBM made a significant investment and established the IBM Watson Group, a new business unit dedicated to the development and commercialization of cloud-delivered cognitive and Big Data innovations. As part of this initiative IBM will also deploy Watson on SoftLayer.

About IBM Cloud Computing

IBM is the global leader in cloud with an unmatched portfolio of open cloud solutions that help clients to think, build or tap into it. No other company has the ability to bring together unique industry knowledge and unmatched cloud capabilities, that have already helped more than 30,000 clients around the world. Today, IBM has more than 100 cloud SaaS solutions, thousands of experts with deep industry knowledge helping clients transform and a network of 40 data centers worldwide.

—–

Source: IBM

Subscribe to HPCwire's Weekly Update!

Be the most informed person in the room! Stay ahead of the tech trends with industry updates delivered to you every week!

Intel’s Silicon Brain System a Blueprint for Future AI Computing Architectures

April 24, 2024

Intel is releasing a whole arsenal of AI chips and systems hoping something will stick in the market. Its latest entry is a neuromorphic system called Hala Point. The system includes Intel's research chip called Loihi 2, Read more…

Anders Dam Jensen on HPC Sovereignty, Sustainability, and JU Progress

April 23, 2024

The recent 2024 EuroHPC Summit meeting took place in Antwerp, with attendance substantially up since 2023 to 750 participants. HPCwire asked Intersect360 Research senior analyst Steve Conway, who closely tracks HPC, AI, Read more…

AI Saves the Planet this Earth Day

April 22, 2024

Earth Day was originally conceived as a day of reflection. Our planet’s life-sustaining properties are unlike any other celestial body that we’ve observed, and this day of contemplation is meant to provide all of us Read more…

Intel Announces Hala Point – World’s Largest Neuromorphic System for Sustainable AI

April 22, 2024

As we find ourselves on the brink of a technological revolution, the need for efficient and sustainable computing solutions has never been more critical.  A computer system that can mimic the way humans process and s Read more…

Empowering High-Performance Computing for Artificial Intelligence

April 19, 2024

Artificial intelligence (AI) presents some of the most challenging demands in information technology, especially concerning computing power and data movement. As a result of these challenges, high-performance computing Read more…

Kathy Yelick on Post-Exascale Challenges

April 18, 2024

With the exascale era underway, the HPC community is already turning its attention to zettascale computing, the next of the 1,000-fold performance leaps that have occurred about once a decade. With this in mind, the ISC Read more…

Intel’s Silicon Brain System a Blueprint for Future AI Computing Architectures

April 24, 2024

Intel is releasing a whole arsenal of AI chips and systems hoping something will stick in the market. Its latest entry is a neuromorphic system called Hala Poin Read more…

Anders Dam Jensen on HPC Sovereignty, Sustainability, and JU Progress

April 23, 2024

The recent 2024 EuroHPC Summit meeting took place in Antwerp, with attendance substantially up since 2023 to 750 participants. HPCwire asked Intersect360 Resear Read more…

AI Saves the Planet this Earth Day

April 22, 2024

Earth Day was originally conceived as a day of reflection. Our planet’s life-sustaining properties are unlike any other celestial body that we’ve observed, Read more…

Kathy Yelick on Post-Exascale Challenges

April 18, 2024

With the exascale era underway, the HPC community is already turning its attention to zettascale computing, the next of the 1,000-fold performance leaps that ha Read more…

Software Specialist Horizon Quantum to Build First-of-a-Kind Hardware Testbed

April 18, 2024

Horizon Quantum Computing, a Singapore-based quantum software start-up, announced today it would build its own testbed of quantum computers, starting with use o Read more…

MLCommons Launches New AI Safety Benchmark Initiative

April 16, 2024

MLCommons, organizer of the popular MLPerf benchmarking exercises (training and inference), is starting a new effort to benchmark AI Safety, one of the most pre Read more…

Exciting Updates From Stanford HAI’s Seventh Annual AI Index Report

April 15, 2024

As the AI revolution marches on, it is vital to continually reassess how this technology is reshaping our world. To that end, researchers at Stanford’s Instit Read more…

Intel’s Vision Advantage: Chips Are Available Off-the-Shelf

April 11, 2024

The chip market is facing a crisis: chip development is now concentrated in the hands of the few. A confluence of events this week reminded us how few chips Read more…

Nvidia H100: Are 550,000 GPUs Enough for This Year?

August 17, 2023

The GPU Squeeze continues to place a premium on Nvidia H100 GPUs. In a recent Financial Times article, Nvidia reports that it expects to ship 550,000 of its lat Read more…

Synopsys Eats Ansys: Does HPC Get Indigestion?

February 8, 2024

Recently, it was announced that Synopsys is buying HPC tool developer Ansys. Started in Pittsburgh, Pa., in 1970 as Swanson Analysis Systems, Inc. (SASI) by John Swanson (and eventually renamed), Ansys serves the CAE (Computer Aided Engineering)/multiphysics engineering simulation market. Read more…

Intel’s Server and PC Chip Development Will Blur After 2025

January 15, 2024

Intel's dealing with much more than chip rivals breathing down its neck; it is simultaneously integrating a bevy of new technologies such as chiplets, artificia Read more…

Choosing the Right GPU for LLM Inference and Training

December 11, 2023

Accelerating the training and inference processes of deep learning models is crucial for unleashing their true potential and NVIDIA GPUs have emerged as a game- Read more…

Comparing NVIDIA A100 and NVIDIA L40S: Which GPU is Ideal for AI and Graphics-Intensive Workloads?

October 30, 2023

With long lead times for the NVIDIA H100 and A100 GPUs, many organizations are looking at the new NVIDIA L40S GPU, which it’s a new GPU optimized for AI and g Read more…

Baidu Exits Quantum, Closely Following Alibaba’s Earlier Move

January 5, 2024

Reuters reported this week that Baidu, China’s giant e-commerce and services provider, is exiting the quantum computing development arena. Reuters reported � Read more…

Shutterstock 1179408610

Google Addresses the Mysteries of Its Hypercomputer 

December 28, 2023

When Google launched its Hypercomputer earlier this month (December 2023), the first reaction was, "Say what?" It turns out that the Hypercomputer is Google's t Read more…

AMD MI3000A

How AMD May Get Across the CUDA Moat

October 5, 2023

When discussing GenAI, the term "GPU" almost always enters the conversation and the topic often moves toward performance and access. Interestingly, the word "GPU" is assumed to mean "Nvidia" products. (As an aside, the popular Nvidia hardware used in GenAI are not technically... Read more…

Leading Solution Providers

Contributors

Shutterstock 1606064203

Meta’s Zuckerberg Puts Its AI Future in the Hands of 600,000 GPUs

January 25, 2024

In under two minutes, Meta's CEO, Mark Zuckerberg, laid out the company's AI plans, which included a plan to build an artificial intelligence system with the eq Read more…

China Is All In on a RISC-V Future

January 8, 2024

The state of RISC-V in China was discussed in a recent report released by the Jamestown Foundation, a Washington, D.C.-based think tank. The report, entitled "E Read more…

Shutterstock 1285747942

AMD’s Horsepower-packed MI300X GPU Beats Nvidia’s Upcoming H200

December 7, 2023

AMD and Nvidia are locked in an AI performance battle – much like the gaming GPU performance clash the companies have waged for decades. AMD has claimed it Read more…

Nvidia’s New Blackwell GPU Can Train AI Models with Trillions of Parameters

March 18, 2024

Nvidia's latest and fastest GPU, codenamed Blackwell, is here and will underpin the company's AI plans this year. The chip offers performance improvements from Read more…

Eyes on the Quantum Prize – D-Wave Says its Time is Now

January 30, 2024

Early quantum computing pioneer D-Wave again asserted – that at least for D-Wave – the commercial quantum era has begun. Speaking at its first in-person Ana Read more…

GenAI Having Major Impact on Data Culture, Survey Says

February 21, 2024

While 2023 was the year of GenAI, the adoption rates for GenAI did not match expectations. Most organizations are continuing to invest in GenAI but are yet to Read more…

The GenAI Datacenter Squeeze Is Here

February 1, 2024

The immediate effect of the GenAI GPU Squeeze was to reduce availability, either direct purchase or cloud access, increase cost, and push demand through the roof. A secondary issue has been developing over the last several years. Even though your organization secured several racks... Read more…

Intel’s Xeon General Manager Talks about Server Chips 

January 2, 2024

Intel is talking data-center growth and is done digging graves for its dead enterprise products, including GPUs, storage, and networking products, which fell to Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire