Tag Archives: Edge Computing

Jeff Clarke : Tech Predictions For 2020 + Next Data Decade!

Jeff Clarke : Tech Predictions For 2020 + Next Data Decade!

Dell Technologies COO and Vice Chairman, Jeff Clarke, reveals his tech predictions for 2020, the start of what Dell Technologies considers as the Next Data Decade!

 

Jeff Clarke : Tech Predictions For 2020 + Next Data Decade!

It’s hard to believe that we’re heading into the year 2020 – a year that many have marked as a milestone in technology. Autonomous cars lining our streets, virtual assistants predicting our needs and taking our requests, connected and intelligent everything across every industry.

When I stop to think about what has been accomplished over the last decade – it’s quite remarkable.  While we don’t have fully autonomous cars zipping back and forth across major freeways with ease, automakers are getting closer to deploying autonomous fleets in the next few years.

Many of the every-day devices, systems and applications we use are connected and intelligent – including healthcare applications, industrial machines and financial systems – forming what is now deemed as “the edge.”

At the root of all that innovation and advancement are massive amounts of data and compute power, and the capacity across edge, cloud and core data center infrastructure to put data through its paces. And with the amount of data coming our way in the next 10 years – we can only imagine what the world around us will look like in 2030, with apps and services we haven’t even thought of yet.

2020 marks the beginning of what we at Dell Technologies are calling the Next Data Decade, and we are no doubt entering this era with new – and rather high – expectations of what technology can make possible for how we live, work and play. So what new breakthroughs and technology trends will set the tone for what’s to come over the next 10 years? Here are my top predictions for the year ahead.

2020 proves it’s time to keep IT simple

We’ve got a lot of data on our hands…big data, meta data, structured and unstructured data – data living in clouds, in devices at the edge, in core data centers…it’s everywhere. But organisations are struggling to ensure the right data is moving to the right place at the right time. They lack data visibility – the ability for IT teams to quickly access and analyse the right data – because there are too many systems and services woven throughout their IT infrastructure. As we kick off 2020, CIOs will make data visibility a top IT imperative because after all, data is what makes the flywheel of innovation spin.

We’ll see organisations accelerate their digital transformation by simplifying and automating their IT infrastructure and consolidating systems and services into holistic solutions that enable more control and clarity. Consistency in architectures, orchestration and service agreements will open new doors for data management – and that ultimately gives data the ability be used as part of AI and Machine Learning to fuel IT automation.  And all of that enables better, faster business outcomes that the innovation of the next decade will thrive on.

Cloud co-existence sees rolling thunder

The idea that public and private clouds can and will co-exist becomes a clear reality in 2020. Multi-cloud IT strategies supported by hybrid cloud architectures will play a key role in ensuing organisations have better data management and visibility, while also ensuring that their data remains accessible and secure.  In fact, IDC predicted that by 2021, over 90% of enterprises worldwide will rely on a mix of on-premises/dedicated private clouds, several public clouds, and legacy platforms to meet their infrastructure needs.

But private clouds won’t simply exist within the heart of the data center. As 5G and edge deployments continue to rollout, private hybrid clouds will exist at the edge to ensure the real-time visibility and management of data everywhere it lives.

That means organisations will expect more of their cloud and service providers to ensure they can support their hybrid cloud demands across all environments. Further, we’ll see security and data protection become deeply integrated as part of hybrid cloud environments, notably where containers and Kubernetes continue to gain momentum for app development. Bolting security measures onto cloud infrastructure will be a non-starter…it’s got to be inherently built into the fiber of the overall data management strategy edge to core to cloud.

What you get is what you pay

One of the biggest hurdles for IT decision makers driving transformation is resources. CapEx and OpEx can often be limiting factors when trying to plan and predict for compute and consumption needs for the year ahead…never mind the next three-five years. SaaS and cloud consumption models have increased in adoption and popularity, providing organisations with the flexibility to pay for what they use, as they go.

In 2020, flexible consumption and as-a-service options will accelerate rapidly as organisations seize the opportunity to transform into software-defined and cloud-enabled IT. As a result – they’ll be able to choose the right economic model for their business to take advantage of end-to-end IT solutions that enable data mobility and visibility, and crunch even the most intensive AI and Machine Learning workloads when needed.

“The Edge” rapidly expands into the enterprise

The “Edge” continues to evolve – with many working hard to define exactly what it is and where it exists.   Once limited to the Internet of Things (IoT), it’s hard to find any systems, applications, services – people and places – that aren’t connected. The edge is emerging in many places and it’s going to expand with enterprise organisations leading the way, delivering the IT infrastructure to support it.

5G connectivity is creating new use cases and possibilities for healthcare, financial services, education and industrial manufacturing. As a result, SD-WAN and software-defined networking solutions become a core thread of a holistic IT infrastructure solution – ensuring massive data workloads can travel at speed – securely – between edge, core and cloud environments. Open networking solutions will prevail over proprietary as organisations recognise the only way to successfully manage and secure data for the long haul requires the flexibility and agility that only open software defined networking can deliver.

Intelligent devices change the way you work and collaborate

PC innovation continues to push new boundaries every year – screens are more immersive and bigger than ever, yet the form factor becomes smaller and thinner. But more and more, it’s what is running at the heart of that PC that is more transformational than ever. Software applications that use AI and machine learning create systems that now know where and when to optimise power and compute based on your usage patterns. With biometrics, PCs know it’s you from the moment you gaze at the screen. And now, AI and machine learning applications are smart enough to give your system the ability to dial up the sound and colour based on the content you’re watching or the game you’re playing.

Over the next year, these advancements in AI and machine learning will turn our PCs into even smarter and more collaborative companions. They’ll have the ability to optimise power and battery life for our most productive moments – and even become self-sufficient machines that can self-heal and self-advocate for repair – reducing the burden on the user and of course, reducing the number of IT incidents filed. That’s a huge increase in happiness and productivity for both the end users and the IT groups that support them.

Innovating with integrity, sourcing sustainably

Sustainable innovation will continue to take center stage, as organisations like ours want to ensure the impact they have in the world doesn’t come with a dangerous one on the planet. Greater investments in reuse and recycling for closed-loop innovation will accelerate – hardware becomes smaller and more efficient and built with recycled and reclaimed goods – minimising eWaste and maximising already existing materials. At Dell Technologies, we met our Legacy of Good 2020 goals ahead of schedule – so we’ve retired them and set new goals for 2030 to recycle an equivalent product for every product a customer buys, lead the circular economy with more than half of all product content being made from recycled or renewable material, and use 100% recycled or renewable material in all packaging.

As we enter the Next Data Decade, I’m optimistic and excited about what the future holds. The steps our customers will take in the next year to get the most out of their data will set forth new breakthroughs in technology that everyone will experience in some way – whether it’s a more powerful device, faster medical treatment, more accessible education, less waste and cleaner air. And before we know it, we’ll be looking forward to what the following 10 years will have in store.

 

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Dell Forecasts The Future of Connected Living In 2030!

Dell Technologies just shared with us the key findings from their research that explore the future of connected living by the year 2030!

Find out how emerging technologies will transform how our lives will change by the year 2030!

 

Dell On The Future of Connected Living In 2030!

Dell Technologies conducted their research in partnership with the Institute for the Future (IFTF) and Vanson Bourne, surveying 1,100 business leaders across ten countries in Asia Pacific and Japan.

Let’s take a look at their key findings, and find out why they believe the future is brimming with opportunity thanks to emerging technologies.

 

Technological Shifts Transforming The Future By 2030

IFTF and a forum of global experts forecast that emerging technologies like edge computing, 5G, AI, Extended Reality (XR) and IoT will create these five major shifts in society :

1. Networked Reality

Over the next decade, the line between the virtual and the real will vanish. Cyberspace will become an overlay on top of our existing reality as our digital environment extends beyond televisions, smartphones and other displays.

This transformation will be driven by the deployment of 5G networks that enable high bandwidth, low-latency connections for streaming, interactive services, and multi-user media content.

2. Connected Mobility and Networked Matter

The vehicles of tomorrow will essentially be mobile computers, with the transportation system resembling packet-switched networks that power the Internet.

We will trust them to take us where we need to go in the physical world as we interact in the virtual spaces available to us wherever we are.

3. From Digital Cities to Sentient Cities

More than half of the world’s population live in urban areas. This will increase to 68% over the next three decades, according to the United Nations.

This level of growth presents both huge challenges and great opportunities for businesses, governments and citizens.

Cities will quite literally come to life through their own networked infrastructure of smart objects, self-reporting systems and AI-powered analytics.

4. Agents and Algorithms

Our 2030 future will see everyone supported by a highly personalised “operating system for living” that is able to anticipate our needs and proactively support our day-to-day activities to free up time.

Such a Life Operating System (Life OS) will be context-aware, anticipating our needs and behaving proactively.

Instead of interacting with different apps today, the intelligent agent of the future will understand what you need and liaise with various web services, other bots and networked objects to get the job done.

5. Robot with Social Lives

Within 10 years, we will have personal robots that will become our partners in life – enhancing our skills and extending our abilities.

In some cases, they will replace us, but this can mean freeing us to do the things we are good at, and enjoy.

In most cases, they can become our collaborators, helping to crowdsource innovations and accelerate progress through robot social networks.

 

Preparing For The Future Of Connected Living By 2030

Anticipating Change

Many businesses in APJ are already preparing for these shifts, with business leaders expressing these perceptions :

  • 80% (82% in Malaysia) will restructure the way they spend their time by automating more tasks
  • 70% (83% in Malaysia) welcome people partnering with machines/robots to surpass our human limitations
  • More than half of businesses anticipate Networked Reality becoming commonplace
    – 63% (67% in Malaysia) say they welcome day-to-day immersion in virtual and augmented realities
    – 62% (63% in Malaysia) say they welcome people being fitted with brain computer interfaces

Navigating Challenges

These technological shifts are seismic in nature, leaving people and organisations grappling with change. Organisations that want to harness these emerging technologies will need to collect, process and make use of the data, while addressing public concerns about data privacy.

APJ business leaders are already anticipating some of these challenges :

  • 78% (88% in Malaysia) will be more concerned about their own privacy by 2030 than they are today
  • 74% (83% in Malaysia) consider data privacy to be a top societal-scale challenge that must be solved
  • 49% (56% in Malaysia) would welcome self-aware machines
  • 49% (43% in Malaysia) call for regulation and clarity on how AI is used
  • 84% (85% in Malaysia) believe that digital transformation should be more widespread throughout their organisation

 

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NVIDIA Wins MLPerf Inference Benchmarks For DC + Edge!

The MLPerf Inference 0.5 benchmarks are officially released today, with NVIDIA declaring that they aced them for both datacenter and edge computing workloads.

Find out how well NVIDIA did, and why it matters!

 

The MLPerf Inference Benchmarks

MLPerf Inference 0.5 is the industry’s first independent suite of five AI inference benchmarks.

Applied across a range of form factors and four inference scenarios, the new MLPerf Inference Benchmarks test the performance of established AI applications like image classification, object detection and translation.

 

NVIDIA Wins MLPerf Inference Benchmarks For Datacenter + Edge

Thanks to the programmability of its computing platforms to cater to diverse AI workloads, NVIDIA was the only company to submit results for all five MLPerf Inference Benchmarks.

According to NVIDIA, their Turing GPUs topped all five benchmarks for both datacenter scenarios (server and offline) among commercially-available processors.

Meanwhile, their Jetson Xavier scored highest among commercially-available edge and mobile SoCs under both edge-focused scenarios – single stream and multi-stream.

The new NVIDIA Jetson Xavier NX that was announced today is a low-power version of the Xavier SoC that won the MLPerf Inference 0.5 benchmarks.

All of NVIDIA’s MLPerf Inference Benchmark results were achieved using NVIDIA TensorRT 6 deep learning inference software.

 

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Key NVIDIA EGX Announcements @ MWC Los Angeles 2019!

At MWC Los Angeles 2019, NVIDIA announced major partnerships on their EGX edge computing platform with Microsoft, Ericsson and Red Hat to accelerate AI, IoT and 5G at the Edge.

Catch the official NVIDIA EGX briefing on these new updates, and find out what it means for edge computing!

 

The Official NVIDIA EGX Briefing @ MWC Los Angeles 2019

Before the official announcement, NVIDIA gave us an exclusive briefing on their EGX edge computing platform. We are sharing it with you, so you can hear it directly from Justin Boitano, General Manager of NVIDIA’s Enterprise & Edge Computing division.

Here is a summary of what NVIDIA unveiled at MWC Los Angeles 2019 :

NVIDIA EGX Early Adopters

NVIDIA actually announced EGX at Computex Taipei in June 2019 – a combination of the NVIDIA CUDA-X software and NVIDIA-certified GPU servers and devices.

Now, they are announcing that Walmart, BMW, Proctor & Gamble, Samsung Electronics and ETT East have adopted the EGX platform, and so have the cities of San Francisco and Las Vegas.

  • Samsung Electronics — The Korean electronics giant is using AI at the edge for highly complex semiconductor design and manufacturing processes.
  • BMW — The German automaker is using intelligent video analytics in its South Carolina manufacturing facility to automate inspection. With EGX gathering data from multiple cameras and other sensors in inspection lines, BMW is helping ensure only the highest quality automobiles leave the factory floor.
  • NTT East — The Japanese telecom services giant is using EGX in its data centers to develop new AI-powered services in remote areas through its broadband access network. Using the EGX platform, NTT East will provide remote populations the computing power and connectivity required to build and deploy a wide range of AI applications at the edge.
  • Procter & Gamble — The world’s leading consumer goods company is working with NVIDIA to develop AI-enabled applications on top of the EGX platform for the inspection of products and packaging to help ensure they meet the highest safety and quality standards. P&G is using NVIDIA EGX to analyze thousands of hours of footage from inspection lines and immediately flag imperfections.
  • Las Vegas — The city is using EGX to capture vehicle and pedestrian data to ensure safer streets and expand economic opportunity. Las Vegas plans to use the data to autonomously manage signal timing and other operational capabilities.
  • San Francisco — The city’s Union Square Business Improvement District is using EGX to capture real-time pedestrian counts for local retailers, providing them a powerful business intelligence tool for engaging with their customers more effectively.

NVIDIA EGX Case Study : Walmart

Walmart is a pioneer user of EGX, deploying it in its Levittown, New York, Intelligent Retail Lab — a fully-operational grocery store where it’s exploring the ways AI can further improve in-store shopping experiences.

Using EGX’s advanced AI and edge capabilities, Walmart is able to compute in real time more than 1.6 terabytes of data generated each second, and can use AI to :

  • automatically alert associates to restock shelves,
  • open up new checkout lanes,
  • retrieve shopping carts, and
  • ensure product freshness in meat and produce departments.

NVIDIA EGX Partnership With Microsoft

NVIDIA announced a collaboration with Microsoft to enable the closer integration between Microsoft Azure and the NVIDIA EGX platform, to advance edge-to-cloud AI computing capabilities for their clients.

The NVIDIA Metropolis video analytics application framework, which runs on EGX, has been optimized to work with Microsoft’s Azure IoT Edge, Azure Machine Learning solutions and a new form factor of the Azure Data Box Edge appliance powered by NVIDIA T4 GPUs.

In addition, NVIDIA-certified off-the-shelf servers — optimised to run Azure IoT Edge and ML services — are now available from more than a dozen leading OEMs, including Dell, Hewlett Packard Enterprise and Lenovo.

NVIDIA EGX Partnership With Ericsson

NVIDIA also announced that they are collaborating with Ericsson on developing virtualised RAN technologies.

Their ultimate goal is to commercialise those virtualised RAN technologies to deliver 5G networks with flexibility and shorter time-to-market for new services like augmented reality, virtual reality and gaming.

NVIDIA EGX Partnership With Red Hat

Finally, NVIDIA announced a collaboration with Red Hat to deliver software-defined 5G wireless infrastructure running on Red Hat OpenShift to the telecom industry.

Their customers will be able to use NVIDIA EGX and Red Hat OpenShift to deploy NVIDIA GPUs to accelerate AI, data science and machine learning at the edge.

The critical element enabling 5G providers to move to cloud-native infrastructure is NVIDIA Aerial. This software developer kit, also announced today, allows providers to build and deliver high-performance, software-defined 5G wireless RAN by delivering two essential advancements.

They are a low-latency data path directly from Mellanox network interface cards to GPU memory, and a 5G physical layer signal-processing engine that keeps all data within the GPU’s high-performance memory.

Next Page > NVIDIA EGX Presentation Slides From MWC Los Angeles 2019!

 

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NVIDIA EGX Presentation Slides From MWC Los Angeles 2019!

Here is the full set of NVIDIA EGX presentation slides from MWC Los Angeles 2019 for your perusal :

 

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