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How Secure is Your 5G Network?

By Bill Hagerstrand, Security Solutions BU, Marvell

New Challenges and Solutions in an Open, Disaggregated Cloud-Native World

Time to grab a cup of coffee, as I describe how the transition towards open, disaggregated, and virtualized networks – also known as cloud-native 5G – has created new challenges in an already-heightened 4G-5G security environment.

5G networks move, process and store an ever-increasing amount of sensitive data as a result of faster connection speeds, mission-critical nature of new enterprise, industrial and edge computing/AI applications, and the proliferation of 5G-connected IoT devices and data centers. At the same time, evolving architectures are creating new security threat vectors. The opening of the 5G network edge is driven by O-RAN standards, which disaggregates the radio units (RU), front-haul, mid-haul, and distributed units (DU). Virtualization of the 5G network further disaggregates hardware and software and introduces commodity servers with open-source software running in virtual machines (VM’s) or containers from the DU to the core network.

As a result, these factors have necessitated improvements in 5G security standards that include additional protocols and new security features. But these measures alone, are not enough to secure the 5G network in the cloud-native and quantum computing era. This blog details the growing need for cloud-optimized HSMs (Hardware Security Modules) and their many critical 5G use cases from the device to the core network.

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New Goals Demonstrate Marvell’s Commitment to ESG

By Rebecca O'Neill, Global Head of ESG, Marvell

Marvell recently released its inaugural Environmental, Social and Governance (ESG) Report, detailing the company’s goals, strategic approach, and commitment to building a sustainable future. Marvell’s approach is based on the areas of greatest impact and opportunity for our company: integrating environmental and social considerations into our product design and responsibly managing the impacts of our supply chain, while focusing on strategic ESG initiatives that are material to our financial performance and long-term value creation.  

Part of our overarching commitment to address ESG topics involves continuous improvement. That’s why Marvell has set a range of goals that showcase key areas of focus for our business, now and in the future. 

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Advancing Opportunities for Women in Technology: Lyndsi Parker’s Story

By Liz Du, ‪Director, Global Talent Brand & Recruitment Marketing, Marvell

The women of Marvell have always been a source of inspiration and innovation, but Women’s History Month in March prompts us to shine the spotlight on what they mean to the company. This is especially important in engineering and technology where women are traditionally underrepresented.

Marvell is trying to change that through Women@Marvell and the Tech Women mentoring program. These programs offer unique opportunities to learn skills, get guidance and support, find professional mentors, and advance in their careers.

Lyndsi Parker, a Senior Director in Marvell’s Central Engineering group, serves as mentor in the Tech Women program and connects with colleagues who share her passion for helping women succeed in the industry. According to Lyndsi, the organization allows women to bring their thoughts, feelings, concerns, and ideas out into the open. “We’ve been able to look specifically at what is the experience of women in our central engineering group,” she said. “What do women experience, what do they see? Do they feel like they are heard? Are there improvements that we need to be making?”

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Introducing Nova, a 1.6T PAM4 DSP Optimized for High-Performance Fabrics in Next-Generation AI/ML Systems

By Kevin Koski, Product Marketing Director, Marvell

Last week, Marvell introduced Nova™, its latest, fourth generation PAM4 DSP for optical modules. It features breakthrough 200G per lambda optical bandwidth, which enables the module ecosystem to bring to market 1.6 Tbps pluggable modules. You can read more about it in the press release and the product brief.

In this post, I’ll explain why the optical modules enabled by Nova are the optimal solution to high-bandwidth connectivity in artificial intelligence and machine learning systems.

Let’s begin with a look into the architecture of supercomputers, also known as high-performance computing (HPC).

Historically, HPC has been realized using large-scale computer clusters interconnected by high-speed, low-latency communications networks to act as a single computer. Such systems are found in national or university laboratories and are used to simulate complex physics and chemistry to aid groundbreaking research in areas such as nuclear fusion, climate modeling and drug discovery. They consume megawatts of power.

The introduction of graphics processing units (GPUs) has provided a more efficient way to complete specific types of computationally intensive workloads. GPUs allow for the use of massive, multi-core parallel processing, while central processing units (CPUs) execute serial processes within each core. GPUs have both improved HPC performance for scientific research purposes and enabled a machine learning (ML) renaissance of sorts. With these advances, artificial intelligence (AI) is being pursued in earnest.

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Introducing the 51.2T Teralynx 10, the Industry’s Lowest Latency Programmable Switch

By Amit Sanyal, Senior Director, Product Marketing, Marvell

If you’re one of the 100+ million monthly users of ChatGPT—or have dabbled with Google’s Bard or Microsoft’s Bing AI—you’re proof that AI has entered the mainstream consumer market.

And what’s entered the consumer mass-market will inevitably make its way to the enterprise, an even larger market for AI. There are hundreds of generative AI startups racing to make it so. And those responsible for making these AI tools accessible—cloud data center operators—are investing heavily to keep up with current and anticipated demand.

Of course, it’s not just the latest AI language models driving the coming infrastructure upgrade cycle. Operators will pay equal attention to improving general purpose cloud infrastructure too, as well as take steps to further automate and simplify operations.

Teralynx 10

To help operators meet their scaling and efficiency objectives, today Marvell introduces Teralynx® 10, a 51.2 Tbps programmable 5nm monolithic switch chip designed to address the operator bandwidth explosion while meeting stringent power- and cost-per-bit requirements. It’s intended for leaf and spine applications in next-generation data center networks, as well as AI/ML and high-performance computing (HPC) fabrics.

A single Teralynx 10 replaces twelve of the 12.8 Tbps generation, the last to see widespread deployment. The resulting savings are impressive: 80% power reduction for equivalent capacity.

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