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Tag: Intel

  • Five Great DevOps Job Opportunities

    Five Great DevOps Job Opportunities

    devopsy.kinsta.cloud is now providing a weekly DevOps jobs report through which opportunities for DevOps professionals will be highlighted to better serve our audience.

    Our goal in these challenging economic times is to make it easier for DevOps professionals to advance their careers.

    Of course, the pool of available DevOps talent is still relatively constrained, so when one DevOps professional takes on a new role it tends to create an opportunity for others.

    The five job postings shared this week are selected based on the company looking to hire, the vertical industry segment and, naturally, the pay scale being offered.

    We’re also committed to providing additional insights into the state of the DevOps job market. In the meantime, for your consideration:

    Indeed.com

    Intel
    Chandler, Arizona
    Cloud Software DevOps Engineer
    $156,410 to $250,410

    LinkedIn

    General Dynamics Information Technology
    Remote
    Cloud FinOps Analyst
    $122,336 to $204,360

    CareerBuilder.com

    Infoway Software
    Doral, Florida
    DevOps Lead
    $120,000 to $190,000

    SimplyHired

    Peraton
    Herndon, Virginia
    DevOps Systems Engineer
    $112,000 to $179,000

    Dice.com

    University of Virginia
    Charlottesville, Virginia
    DevOps Developer
    $95,000 to $125,000

  • 92% of Devs Use AI, Survey Says ¦ Intel One Mono Font

    92% of Devs Use AI, Survey Says ¦ Intel One Mono Font

    Welcome to The Long View—where we peruse the news of the week and strip it to the essentials. Let’s work out what really matters.

    This week: GitHub touts unbelievable AI stats, and Intel’s beautiful open source typeface. (more…)

  • No, Dev Jobs Aren’t Dead: AI Means ‘Everyone’s a Programmer’? ¦ Interesting Intel VPUs

    No, Dev Jobs Aren’t Dead: AI Means ‘Everyone’s a Programmer’? ¦ Interesting Intel VPUs

    Welcome to The Long View—where we peruse the news of the week and strip it to the essentials. Let’s work out what really matters.

    This week: Nvidia’s CEO grabs headlines by saying your career is toast, and Intel is still fighting. (more…)

  • Intel Expands Scope of oneAPI Initiative

    Intel Expands Scope of oneAPI Initiative

    Intel has expanded its effort to drive adoption of a set of open compilers, libraries, analysis and porting tools and frameworks for artificial intelligence (AI) applications, collectively made available via a oneAPI initiative, to include support for its latest generation of processors.

    The oneAPI initiative was launched more than three years ago to create a set of multi-architecture tools for building applications that could be deployed on any CPUs, graphical processor units (GPUs) and field programmable gate arrays (FPGAs). Processors that now support oneAPI include forthcoming 4th Gen Intel Xeon Scalable processors, Intel Xeon CPU Max Series and Intel Data Center GPUs.

    James Reinders, chief evangelist of Intel Software Products, said there is now a clear need for open tools and frameworks that provide equal access to multiple classes of processors. As part of that effort, the latest 2023 version of oneAPI, for example, adds support for plug-ins for Nvidia and AMD GPUs developed by Codeplay, a unit of Intel, to simplify writing SYCL code in a way that makes code portable across additional processor architectures.

    There is also a CUDA-to-SYCL code migration capability that supports more than 100 CUDA application programming interfaces (APIs) using the Intel DPC++ Compatibility Tool based on an open source SYCLomatic project. Intel is also providing tools to identify imbalances at scale using Intel VTune Profiler, and an Intel Advisor tool now provides automated roofline analysis for Intel Data Center GPU Max Series to identify root causes of memory, cache or compute bottlenecks along with insights for optimizing data transfer costs involving CPU-to-GPU offloading.

    As IT continues to evolve, it will become more routine for developers to invoke heterogeneous classes of processors within the same application, but it’s been challenging to convince providers of other types of processors to support the oneAPI initiative, noted Reinders. Processor providers have historically relied on compilers and libraries to lock developers into specific classes of processors.

    However, it’s becoming more common for developers to build applications that invoke multiple types of processors. The Intel oneAPI initiative is intended to simplify access to heterogeneous processors, also known as XPUs. That’s critical, because the pace of processor innovation has accelerated to the point where developers need to be able to invoke additional capabilities without waiting for specific compilers and libraries to be updated by multiple providers. Once oneAPI is more widely adopted, it then becomes possible to significantly lower the cost of application development and deployment, noted Reinders.

    It’s not clear whether the oneAPI initiative will become more widely adopted, either under the auspices of Intel or by some type of industry consortium that provides a neutral venue for building a common set of compilers and libraries. The one thing that is certain is that DevOps teams are vested in trying to standardize compilers and libraries across as many platforms as possible. The challenge, of course, is making sure developers only invoke compilers and libraries that can span multiple classes of processors versus ones that may have been optimized for a specific type of processor architecture.

  • MinIO Industry-Leading Multi-Cloud Object Storage Delivers Superior Intel Optimized Performance for Customers

    MinIO’s high performance, multi-cloud object store delivers against AI/ML, database and advanced analytic workloads for Intel customers

    Palo Alto, CA, Aug. 22, 2022 — MinIO Inc., creators of the MinIO Multi-Cloud Object Storage suite, today announced a deeper strategic collaboration with Intel to deliver superior performance across mission critical workloads, creating optimized infrastructure options for customers.

    MinIO is a high-performance, Kubernetes-native, S3-compatible object store. It is optimized for 3rd generation Intel Xeon Scalable processors at a granular level, including built-in Intel Advanced Vector Extensions 512 (Intel AVX-512) single instruction multiple data (SIMD) acceleration capabilities. The enhanced performance characteristics have made MinIO a leading object store for machine learning frameworks, analytics applications, databases, web applications and other performance-oriented workloads. MinIO’s architecture is renowned for its simplicity and scales from terabytes to exabytes easily.

    “Intel has been a strategic partner of MinIO since the inception of the company. We continue to expand the partnership and collaborate on R&D, benchmarking and customer success opportunities. We share a technology vision that is informed by machine learning, is multi-cloud, containerized, orchestrated and increasingly edge oriented,” said Garima Kapoor, co-founder and COO of MinIO. “Our work together continues to push the boundaries of innovation and our continued optimization on Intel platforms have resulted in record-setting performance benchmarks.”

    “Every enterprise today is a data enterprise, and every enterprise today needs mature multi-cloud experiences. Intel sees this across our portfolio, and is excited to work with MinIO to address the need in this environment,” said Arijit Bandyopadhyay, CTO – Enterprise Analytics & AI, Head of Strategy – Enterprise & Cloud Group at Intel Corporation. “We’re bullish about our collaboration with MinIO because performance at scale is critical for AI and Augmented Analytics workloads. MinIO, with its software-defined, high performant S3 object storage optimized for 3rd Gen Intel Xeon Scalable processors, helps enterprises overcome challenges of large primary storage across a range of use cases from Kubernetes-powered cloud applications to AI/ML/advanced analytics workloads.”

    Intel Architecture is Continually Enhanced for AI Applications

    In addition, MinIO is a member of the Intel Disruptor Initiative, where Intel collaborates with select cutting-edge technology ISVs and startups to accelerate the adoption of modern architectures on Intel platforms for Data, Augmented Analytics, and AI-infused workloads to propel customer success.

    The world’s data centers run on Intel platforms for their outstanding performance, security, scalable storage, and memory. Since its launch in July 2017, Intel Xeon Scalable processors with built-in accelerators and hardware-enhanced security are ushering in a golden age of software-defined storage where sophisticated features such as erasure coding, hashing, encryption, and bitrot protection are optimized by advantages such as Intel AVX-512 SIMD instruction sets and Intel DL Boost technology. And removing compute throughput bottlenecks enables companies to use the same enterprise systems for machine learning, deep learning, and traditional enterprise workloads.

    To learn more about MinIO’s and Intel’s work together visit https://resources.min.io/intel.

    Helpful Links
    MinIO blog: https://blog.min.io/
    Product overview: https://min.io/product/overview
    Twitter: https://twitter.com/Minio
    LinkedIn: https://www.linkedin.com/company/minio-inc-

    About MinIO
    MinIO is pioneering high performance, Kubernetes-native object storage for the multi-cloud. The software-defined, Amazon S3-compatible object storage system is used by more than half of the Fortune 500. With 950M+ Docker pulls, MinIO is the fastest-growing cloud object storage company and is consistently ranked by industry analysts as a leader in object storage. Founded in 2014, the company is backed by Intel Capital, Softbank Vision Fund 2, Dell Technologies Capital, Nexus Venture Partners, General Catalyst and key angel investors.

  • Recession! DevOps Hiring Freeze | Data Centers Suck (Power) | Intel to ‘be’ Wi-Fi 7

    Recession! DevOps Hiring Freeze | Data Centers Suck (Power) | Intel to ‘be’ Wi-Fi 7

    Welcome to The Long View—where we peruse the news of the week and strip it to the essentials. Let’s work out what really matters.

    This week: Engineer jobs are being cut, cloud infrastructure is using too much energy, and Intel’s 802.11be silicon is alive. (more…)

  • Semiconductor Shortage May Be Here to Stay

    Semiconductor Shortage May Be Here to Stay

    Intel CEO Pat Gelsinger has cautioned that the semiconductor shortage will last until 2024, a scary reality for manufacturers, businesses and consumers alike.

    Semiconductor chips, or microchips, are essential for many digital consumer products. Anything that processes information uses these chips and with the exponential growth of technology, there has been a massive increase in demand. 

    “The rapid acceleration of the internet of things (IoT) to date and to come forever moves semiconductors ahead of oil as the world’s key commodity input for growth,” according to economic investment firm TS Lombard. 

    Although the U.S. leads the world in developing and selling semiconductors, manufacturing has shifted to Asia. Taiwan and Korea account for 83% of global processor chip production and 70% of memory chip output, according to the Semiconductor Industry Association. 

    In many of these Asian economies, harsh lockdown measures were put in place in response to COVID-19, causing bottlenecks in the supply chain. As a result, certain manufacturing tools are unavailable, limiting chipmaking capacity. 

    The shortage was originally projected to last until 2023, but Gelsinger now predicts that it will roll into 2024. 

    “The shortages have now hit equipment and some of those factory ramps will be more challenged,” Gelsinger explained.

    Semiconductor Shortage Impacts More Than Just Tech

    Semiconductors are especially important in the automobile industry. Microchips are an essential component of the modern-day car, and they enable many innovations within the industry. 

    As a result of the bottleneck, some automotive companies have limited or paused production. Tesla, for example, has halted production in 2022, citing supply chain issues as the limiting factor. 

    In response to the shortage, companies are urgently building new manufacturing facilities. Samsung is building a $17 billion semiconductor factory in Texas and Intel is spending $20 billion on two new factories in Arizona. 

    The shortage has also prompted legislative action in Florida and Texas that calls for increased funding for microchip and semiconductor factories. 

    “The more we have this capacity within our own country the more opportunities there’s going to be for people and the more secure both our economic supply chains will be and our national security,” Florida governor Ron DeSantis said of the measures he’s taking to combat the shortage. 

    No Definitive End in Sight

    Although industry experts predicted the shortage will end in 2024, there is no definitive end in sight, prompting manufacturers and businesses to strategize accordingly. 

    Some companies, like Tesla, have resorted to alternative chips and software-based solutions to endure the shortage. Companies like Latent AI offer software packages that optimize alternative hardware, which could prove to be a technological lifesaver for the many companies affected by the shortage. 

    Although the current shortage is a byproduct of the pandemic, some of the alternative solutions that have arisen may be revolutionary in filling the ever-growing demand for semiconductors. 

  • Russian Dev Exodus | Puppet IPO FAIL | Intel 18A Ahead of Sched.

    Russian Dev Exodus | Puppet IPO FAIL | Intel 18A Ahead of Sched.

    Welcome to The Long View—where we peruse the news of the week and strip it to the essentials. Let’s work out what really matters.

    This week: More than 100,000 tech workers leave Russia, Perforce buys Puppet, and Intel moves faster than planned. (more…)

  • Intel Expands Scope of OneAPI Toolkit Initiative

    Intel Expands Scope of OneAPI Toolkit Initiative

    Intel has made available a 2022 edition of its oneAPI toolkit through which it makes processor extensions accessible to DevOps teams.

    James Reinders, chief evangelist for Intel software products, said the goal is to make it simpler for DevOps teams to expose extensions to any company’s processors in the runtimes developers use.

    At its core, the oneAPI toolkit is a collection of APIs that Intel created for x86, graphics processing units (GPUs), application-specific integrated chips (ASICs), field programmable gate arrays (FPGAs) and other classes of processors.

    Reinders noted that developers have never had as much ready access to so many different processor classes before. The challenge organizations face, however, is making it simpler for developers to take advantage of those capabilities in a way that doesn’t require them to write low-level code, he added.

    The oneAPI 2022 toolkit adds additional capabilities including the world’s first unified compiler implementing C++, SYCL and Fortran, data-parallel Python for CPUs and GPUs, advanced accelerator performance modeling and tuning and performance acceleration for artificial intelligence (AI) and ray tracing visualization workloads. Collectively, Intel said it has made 900 new and enhanced features available via the oneAPI toolkit in the last year, including deeper Microsoft Visual Studio Code integration, support for Microsoft Visual Studio 2022 and Microsoft WSL2 for Linux development on Windows.

    As IT continues to evolve it will become more routine for developers to invoke heterogeneous classes of processors within the same application, said Reinders. Those capabilities will drive an explosion of software development innovation through the rest of the decade and beyond, he added.

    Intel is especially focused on making it easier for developers to invoke inference engines that take advantage of processor extensions to run AI workloads, Reinders said. Going forward, most applications will take advantage of machine learning algorithms that run inference engines optimized by Intel via extensions to its processors. As those workloads are constructed, integrating AI models within DevOps workflows will become the next major challenge, noted Reinders.

    It’s too early to say how simplified access to heterogeneous processors, also known as XPUs, might change the application development landscape. The one thing that is clear is IT organizations now have more options than ever. The issue now is finding a way to invoke all those capabilities in a way that doesn’t overwhelm developers. DevOps teams will play a key role in deciding which processors and associated extensions to make available to their development teams.

    In the meantime, the battle for processor dominance will only intensify in the months ahead. DevOps teams will need to decide how comfortable they are using processors manufactured by a single company like Intel or whether they want to employ a mix of processors provided by multiple vendors. Regardless of what they decide, it appears APIs will play a critical role in making it easier to benefit from advances in processor technologies.

  • Intel Woos DevOps Teams with API and Processor Advances

    Intel Woos DevOps Teams with API and Processor Advances

    During the online Intel Innovation 2021 event, Intel announced today a unified Developer Zone for accessing application programming interfaces (APIs) that it makes available via a oneAPI toolkit to IT teams that want to more easily invoke a wide range of processor types and classes.

    At the same time, the company also revealed it is creating a set of oneAPI centers of excellence that will make it easier for DevOps teams to consume those APIs. Partners participating in that initiative include Oak Ridge National Laboratory, University of California Berkeley, University of Durham and University of Tennessee. Intel will also make the Intel Graphics Visualization Institutes of Xellence part of this program.

    Next year, Intel is also promising to deliver oneAPI 2022 toolkits that will add 900 additional capabilities including an ability to develop applications for CPUs and graphical processor units using what Intel described as the first unified C++/SYCL/Fortran compiler.

    The company is also planning on making available Data Parallel Python tools in addition to expanding its Advisor accelerator performance modeling tools to include support for VTune Flame Graph to visualize performance hot spots.

    There will also be additional oneAPI integrations to add support for Microsoft Visual Studio Code and the Microsoft Windows Subsystem for Linux 2 platform. Intel also created an Intel oneAPI AI Analytics toolkit to enable out-of-the-box AI development that is supported by workstations running Linux from Dell Technologies, HP and Lenovo. Additionally, Microsoft and Intel have agreed to create a complete data science toolchain to Windows 11 that will become part of the Surface Laptop Studio framework for building applications.

    Greg Lavender, chief technology officer, senior vice president and general manager of the software and advanced technology group at Intel, said it’s critical to make sure that DevOps teams add support for the acceleration engine and extensions that Intel makes available within its processors to the runtime environments they deploy. Otherwise, developers will never be able to routinely invoke those capabilities to build next-generation applications.

    The company also revealed that next-generation Intel Xeon Scalable Processors, code-named Sapphire Rapids, will have additional acceleration engines to both simplify deployments at scale and optimize processors’ core utilization in a way that reduces power consumption. Overall, Intel is promising up to a 30x total performance gain for artificial intelligence (AI) applications running on these processors.

    Other hardware advances announced today include a 12th generation Intel Core family based on 7-nanometer processors and a Mount Evans project through which Intel is collaborating with Google Cloud to build processors based on application-specific integrated circuit (ASIC) chips.

    The company also unveiled an Intel ArcTM Alchemist family of graphics systems on chips (SoCs) that take advantage of machine learning algorithms to optimize performance and touted an Intel Tofino fabric processor (IFP) that adds intelligence to network switching via support for P4 programming tools.

    Finally, the company noted that an Aurora supercomputer, due out in 2022, will exceed two exaflops of peak double-precision compute performance.

    As Intel seeks to regain the processor high ground from rivals such as NVIDIA, ARM and AMD, it’s clear that the future of IT will be defined by a broad range of processor classes that all have unique capabilities. The challenge now is deciding which of those capabilities to actually make available to developers that are largely dependent on the runtime environment that DevOps teams decide to make available.