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NVIDIA Going After More of Intel’s Data Center Business With New Processor Chips

NVIDIA Going After More of Intel’s Data Center Business With New Processor Chips

When announcing new artificial intelligence (AI) capabilities developed by his company earlier this year, NVIDIA (NASDAQ: NVDA) CEO Jensen Huang outlined a new type of processor that will become increasingly important in the years ahead: the data processing unit (DPU).



a person in a blue shirt: NVIDIA Going After More of Intel's Data Center Business With New Processor Chips


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NVIDIA Going After More of Intel’s Data Center Business With New Processor Chips

Data centers are becoming busy digital-economy hubs with massive amounts of data moving into and out of them, and organizations rely on these hubs to power cloud computing tasks key to their operations. To capitalize on the opportunity, NVIDIA has announced the release of new DPU chips. The move will build on NVIDIA’s momentum in the data center segment (now its largest business end-market) and help it continuously disrupt an industry dominated by chip giant Intel (NASDAQ: INTC).



a person in a blue shirt: Someone in a lab suit holding a semiconductor.


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Someone in a lab suit holding a semiconductor.

CPU, GPU, and DPU basics

Over the years, the CPU (central processing unit) invented by Intel has become the primary chip powering desktop and laptop computers, other mobile devices, and even the movement of data within data centers. GPUs (graphics processing units) were later pioneered by NVIDIA to handle advanced and specialized tasks like video game graphics and, more recently, high-order computing tasks handled in data centers like AI. 

But Huang has outlined NVIDIA’s vision for the future of computing, built on three types of processors: the CPU for generalized tasks, the GPU as a computing accelerator, and the DPU as a specialized manager of data within data centers to handle cloud computing. To that end, NVIDIA recently unveiled the BlueField-2 DPU and accompanying software development kit for engineers building data center infrastructure and cloud applications. 

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NVIDIA’s new DPUs are already

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LDRA First to Support Arm-Based Chips for Safety-Critical Aerospace and Automotive Applications

LDRA First to Support Arm-Based Chips for Safety-Critical Aerospace and Automotive Applications

LDRA tool suite offers unique object code verification for coverage at the assembly level and code level, required for DO-178C Level A standard

LDRA today announced its extension of object-code verification to deliver advanced software testing for Arm-based chips used in safety-critical aerospace & defense and automotive applications. With Arm chipsets becoming increasingly prevalent in the core CPUs of both aircraft and automobiles, safety-critical verification becomes essential. LDRA’s support enables software developers to leverage the LDRA tool suite to verify code coverage at both the assembly and source code levels.

Arm’s Adoption into Aerospace, Automotive

Arm-based devices can often be found in ISO 26262–compliant automotive applications up to and including ASIL D, and they continue to gain traction as ADAS and autonomy become increasingly significant. Conversely, Intel and PowerPC have long been the architecture of choice for aircraft computers to gain high-integrity computing in a rugged, SWaP (size, weight, and power)–constrained environment. However, as Arm has proven its reliability, low power, and versatility in automotive and mobile applications, avionics engineers are now also turning to general-purpose Arm processors. By extending object-code verification to Arm-based chips, LDRA enables compliance to Level A—the highest safety requirements—of DO-178C, the safety-critical standard for aerospace, and provides an opportunity for automotive developers to provide a similar level of assurance for the most demanding of applications in their domain.

“Object-code verification has long been available for other specialized processors, but extending it to general-purpose Arm processors enables safety-critical designers to take advantage of the rich Arm ecosystem in their designs,” said Ian Hennell, Operations Director at LDRA. “By extending, LDRA has enabled avionic engineers to verify Arm-based applications to DAL A while enjoying the benefits of additional ecosystem flexibility and lower costs, and has opened the door for automotive engineers to apply this state-of-the-art technique in

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