Marvell
Executive perspectives from Marvell across NextGenInfra's event and research showcases.
53 video interviews · 2021–2026
Big Outlook for XPU-Attach
- Marvell customizes every component in the XPU tray beyond the XPU itself
- CXL-enabled memory adds expansion and near-memory compute
- Security devices and high-performance NICs build on Marvell SerDes and IP platforms
Full summary
Will Chu, SVP and GM, Custom Cloud Solutions Business Unit at Marvell, discusses the company's expansion into XPU attach solutions, where Marvell customizes all components within the XPU tray beyond the XPU. The custom solutions include CXL-enabled memory for expansion and near-memory compute, security devices for AI infrastructure management, and high-performance NICs built on Marvell's SerDes and other IP platforms.
Rethinking Data Center Network Architecture
- Scale-out is bandwidth-driven (800G to 1.6T+); scale-up fabrics unify xPU pods needing memory sharing and ultra-low latency
- Marvell roadmap: 100T and 200T scale-out fabrics plus 115T and 57T scale-up fabric devices
- Scale-up support spans NVLink Fusion, UALink, and ESUN
Full summary
In an extended discussion, Rishi Chugh, VP and GM, Data Center Switching at Marvell, shares how AI workloads are driving data center networking, distinguishing between bandwidth-driven scale-out networking (800Gpbs to 1.6Tbps and beyond) and scale-up fabrics that unify xPU pods requiring memory sharing and ultra-low latency. Chugh shares Marvell's commitment to deliver 100T and 200T scale-out fabrics along with 115T and 57T scale-up fabric devices supporting NVLink Fusion, UALink, and ESUN.
The New Open Centralized Unit Distributed Unit (OCUDU) Effort
- Wireless vendors are shifting to software differentiation atop standardized CPUs and GPUs
- Linux Foundation OCUDu and OCP projects open the door to hardware harmonization
- Marvell claims to be the only provider of macro-grade merchant silicon, trading custom silicon for better cost and power at scale
Full summary
Joel Brand, AVP, Product Marketing at Marvell, explains how major wireless vendors are shifting to software differentiation while adopting standardized CPUs and GPUs, creating opportunities for harmonization through initiatives like the Linux Foundation's OCUDu and OCP projects. He highlights that Marvell is uniquely positioned as the only provider of macro-grade merchant silicon to address the industry's economic challenges by moving from custom silicon to market-optimized solutions that offer better cost efficiency and power performance at scale.
Marvell's 800G Coherent Light Module
- Marvell demos the industry's first 800G coherent light module, powered by its Aquila DSP
- Optimized for O-band campus data center interconnects with links up to 20 km
- Demo shows strong pre-FEC performance and zero uncorrectable code words
Full summary
Vivek Thyagarajan, Application Engineer at Marvell, demonstrates the industry's first 800G coherent light module powered by Marvell's Aquila DSP, optimized for O-band campus data center interconnects with links up to 20 km. The demonstration shows excellent pre-FEC performance, a clear coherent constellation diagram, and zero uncorrectable code words, confirming clean link operation.
1.6T PAM4 TRO Electriccal
- Marvell demos a 1.6T PAM4 TRRO electrical system with RT DSP at 200 Gbps per lambda
- Delivers 21 dB output TCQ and 0.995 linearity with wide-open eye patterns
- Targets high-speed data center, AI networking, and switching fabric interconnects
Full summary
Rittik Shah, Senior Staff Application Engineer at Marvell, demonstrates a 1.6T PAM4 TRRO electrical system at OFC 2025, featuring RT DSP technology operating at 200 Gbps per lambda with 21 dB output TCQ and 0.995 linearity. The demonstration showcases wide open eye patterns designed for high-speed data center, AI networking, and switching fabric interconnect applications.
Optical Networks, AI Chip Design & Memory Architecture
- Hybrid electrical-optical connectivity evolves toward fully optical by 2027
- AI capabilities become more deeply integrated into chip design technologies
- Memory capacity expands beyond traditional HBM via attached or disaggregated architectures
Full summary
Noam Mizrahi, EVP and Corporate CTO at Marvell, presents three key predictions for the semiconductor and AI infrastructure landscape in the coming year. He anticipates hybrid electrical-optical connectivity evolving to fully optical by 2027, greater integration of AI capabilities into chip design technologies, and expanded memory capacity beyond traditional HBM through attached or disaggregated architectures.
Marvell on Custom HBM & SRAM for AI Chips
- Marvell's memory strategy centers on embedded SRAM IP, custom HBM, and the Striker aggregation device.
- Aims to improve bandwidth and reduce latency across multiple memory types.
Full summary
Mark Kuemerle, VP of Technology and CTO of ASIC Business Unit at Marvell, presented key memory optimization strategies at the AI Infrastructure Summit, focusing on embedded SRAM IP, custom HBM, and the Striker memory aggregation device. These innovations from Marvell enhance data center performance by improving bandwidth and reducing latency across multiple memory types.
Building Blocks for AI Processing
- Marvell's new die-to-die interface triples bandwidth density.
- Cuts power consumption by 40-70% versus prior approaches.
- IP block improves interconnect between dies and custom HBM.
Full summary
Mark Kuemerle, VP of Technology and CTO of ASIC Business Unit at Marvell, presented the company's new die-to-die interface technology at the AI Infrastructure Summit, highlighting its ability to triple bandwidth density while reducing power consumption by 40-70%. The innovative IP block enhances interconnect capabilities between dies and custom HBM, marking a major step forward in data center AI system development.
Speeding Forward with PCIe Gen 6 and 7
- Marvell demoed PCIe Gen 6 retimers and Gen 7 technology as critical enablers for scaling up AI infrastructure.
- A PCIe Gen 7 system hit 128G transfer speeds with improved bit error rates on TSMC's 3nm process.
- The Gen 6 demo used a three-board setup showcasing retimer capabilities.
Full summary
Annie Liao, Product Management Director at Marvell, presents PCIe Gen 6 retimer solutions and PCIe Gen 7 technology critical for scaling up AI infrastructure. The demonstrations include a three-board PCIe Gen 6 setup with retimer capabilities, and a PCIe Gen 7 system achieving 128G transfer speeds with improved bit error rates through TSMC's 3nm process.
Active Electrical Cables for AI Server Architecture
- AI servers are reshaping data center architecture via new switch placement and rack configurations.
- Marvell's 7-meter 28-gauge active electrical cables support 800G breakout connections.
- Its 1.6T product uses 32-gauge cables optimized for GPU-to-GPU connectivity.
Full summary
Winnie Wu, Senior Director of Product Marketing at Marvell, describes how data center architectures are adapting to AI server needs through changes in switch placement and rack configurations. She outlines their 7-meter 28-gauge cables supporting 800G breakout connections and their 1.6T product with 32-gauge cables optimized for GPU-to-GPU connectivity.
Custom XPU Solutions: Memory, Security & Networking
- Marvell is expanding beyond the XPU to customize every component in the XPU tray as an attach-solutions play.
- CXL-enabled memory targets both capacity expansion and near-memory compute.
- Portfolio adds security devices for AI infrastructure management and high-performance NICs.
Full summary
Will Chu, SVP and GM, Custom Cloud Solutions BU, discusses the company's expansion into XPU attach solutions, where Marvell customizes all components within the XPU tray, including CXL-enabled memory for expansion and near-memory compute, security devices for AI infrastructure management, and high-performance NICs.
Optical Interconnects for Scale Up, Scale Out, Scale Across
- Marvell frames networking across three architectures: scale up, scale out, and scale across.
- The Celestial acquisition anchors Marvell's scale-up strategy, with in-house development for scale out.
- 1.6 Tbps single-wavelength links are in development for scale-across interconnect.
Full summary
Radha Nagarajan, SVP and CTO, Optical and Cloud, outlines three networking architecture categories and how Marvell addresses all three segments through its Celestial acquisition for scale up, internal development for scale out, and an established business in scale across, including 1.6 terabit per second single wavelength links currently in development.
Marvell's RELIANT Software & Golden Cable
- RELIANT software suite and the Golden Cable program remotely monitor and manage AI infrastructure connectivity.
- Telemetry is sourced from DSPs embedded in cables and optical modules.
- Targeted at clusters connecting hundreds of thousands of GPUs and XPUs.
Full summary
Xi Wang, SVP and GM for Connectivity, introduces the company's RELIANT software suite and Golden Cable program designed to remotely monitor and manage AI infrastructure connecting hundreds of thousands of GPUs and XPUs by collecting data from DSPs in cables and optical modules.
Solving Multi-Kilowatt AI Chip Power Delivery
- PIVR (Package Integrated Voltage Regulator) moves voltage regulators directly into the XPU package.
- The approach boosts current density performance by up to 2x.
- Power transmission losses drop by as much as 85%, addressing multi-kilowatt chip power delivery.
Full summary
Matt Kim, AVP, Custom Cloud Solutions Business Unit, presents PIVR (Package Integrated Voltage Regulator) technology as a solution to power delivery challenges in the multi-kilowatt chip era where moving voltage regulators directly into the XPU package increases current density performance by up to 2x and reduces power transmission losses by as much as 85%.
PCIe Evolution: From 5.0 Retimers to 8.0 Optical Solutions for AI
- Marvell's PCIe retimer roadmap spans generations 5.0 through 8.0.
- Electrical solutions face mounting challenges at 128 and 256 Gbps per lane, pushing toward optical PCIe.
- Optical strategy pairs module/cable partnerships with in-house co-packaged optics (CPO).
Full summary
Annie Liao, Product Management Director outlines Marvell's PCIe retimer product roadmap from generations 5.0 through 8.0, explaining how current electrical solutions will face increasing challenges at higher data rates of 128 and 256 Gbps per lane. She describes their strategic development of optical PCIe solutions, including partnerships for optical modules and cables as well as in-house co-packaged optics (CPO) technology.
SNEAK PEAK on How AI Reshapes Data Center Networks
- AI workloads are pushing data center networks toward flatter architectures with far higher reliability.
- AI training's massive power draw and long runtimes make network failures extremely costly.
- The industry is rethinking traditional Ethernet and splitting designs into distinct front-end and backend networks.
Full summary
Rishi Chugh, VP and GM, Data Center Switching at Marvell, joins Roy Chua, Principal and Founder of AvidThink, to explore how AI workloads are fundamentally changing data center networking by demanding flatter architectures and unprecedented levels of reliability. The discussion covers how AI training's massive power consumption and time requirements make network failures extremely costly, driving the industry to reconsider traditional Ethernet approaches and adopt more complex designs with distinct front-end and backend networks.
AI for Powering Next Gen RAN
- AI in wireless networks is still more hype than reality, unlike its proven data center success.
- Marvell's AI-capable baseband devices let customers test algorithms in real networks.
Full summary
Joel Brand, AVP of Product Marketing at Marvell, explains that AI in wireless networks is currently more hype than reality, despite its success in data centers. His insights highlight how Marvell's AI-capable baseband devices allow customers to test algorithms in real networks.
Marvell's CPO Switch Demo
- Marvell's CPO reference platform is a liquid-cooled 1 OU system with 16 6.4T silicon-photonics light engines.
- Scaling to 32 units per rack means managing over 36,000 fibers.
- Rack-level success hinges on industry solutions for backplane design and fiber routing.
Full summary
Kishore Atreya, Sr. Director, Platform Product Management at Marvell, presents the company's co-packaged optics reference platform featuring a liquid-cooled 1 OU system with 16 6.4T light engines that integrate silicon photonics technology for electrical-to-optical signal conversion. He addresses the significant deployment challenge of managing over 36,000 fibers when scaling to 32 units per rack, emphasizing the need for industry solutions in backplane design and fiber routing for successful rack-level implementation.
Unlocking Memory Bandwidth
- Marvell's Structura CXL portfolio targets rising memory capacity and compute demands.
- Structura A packs 16 ARM cores for deep learning and inference workloads.
- Structura X enables memory expansion, mixing DDR4 and DDR5 with compression algorithms.
Full summary
Khurram Malik, Sr. Director, Product Marketing, CXL at Marvell, presents the company's Structura CXL product portfolio designed to address growing memory capacity and compute power demands. The portfolio includes Structura A with 16 ARM core processors for deep learning and inference workloads, and Structura X for memory expansion solutions that enable hyperscalers to combine DDR4 and DDR5 memory with compression algorithms.
Next-Gen Switching: Co-Packaged Optics vs. Co-Packaged Copper
- Marvell showcases a co-packaged copper switch-tray design using substrate-mounted flyover wires at 224G.
- The liquid-cooled solution enables direct XPU ASIC to CPO engine connections.
- Supports large-scale multi-rack clusters up to 2,000 nodes with a single switching layer.
Full summary
George Hervey, Principal Architect at Marvell, showcases an innovative co-packaged copper design for switch trays that enhances passive copper performance through substrate-mounted flyover wires and 224G compatibility. The liquid-cooled solution enables direct XPU ASIC to CPO engine connections and supports large-scale multi-rack compute clusters up to 2,000 nodes with a single switching layer.
Rethinking Connectors with 2D Interfaces for the 448G Era
- Marvell is researching high-density 2D connector designs to support 448G signaling.
- The goal is lossless electrical channels for next-generation AI data centers.
- Design priorities center on signal integrity optimization and thermal efficiency.
Full summary
Matt Traverso, Distinguished Engineer at Marvell, leads research on high-density 2D connector designs to enhance 448G signaling capabilities for AI and large-scale computing. His work prioritizes signal integrity optimization and thermal efficiency to create lossless electrical channels for next-generation data centers.
Top AI Data Center Trends
- Cloud providers move to fully custom infrastructure.
- AI cluster configurations continue to evolve.
- Growing AI workloads push organizations toward multi-site data centers with enhanced interconnect.
Full summary
Nigel Alvares, VP of Global Marketing at Marvell, outlines three major data center predictions, including cloud providers moving to fully custom infrastructure and the evolution of AI cluster configurations — growing AI workloads will push organizations to adopt multi-site data centers with enhanced interconnect capabilities.
Can it be done? Powering a Million XPUs
- Marvell's Loi Nguyen warns future gigawatt-class data centers will need energy comparable to major cities.
- Multi-site 400k+ node clusters will be linked by high-speed optics like Marvell's DCI Optics ZR and ZR+.
Full summary
Loi Nguyen, EVP and GM of Optical, highlights the enormous power demands of modern data centers and AI clusters, with future "gigawatt-class" facilities requiring energy comparable to major cities. Nguyen discusses the need for multi-site 400k+ node clusters connected by high-speed optics like Marvell's DCI Optics ZR and ZR+.
The Future of Co-Packaged Optics Looks Bright
- Marvell's Nick Kucharewski positions co-packaged optics for scale-up networking with lower power and latency.
- Marvell's light engine provides up to 51 Tbps of bandwidth for scale-up switches.
Full summary
Nick Kucharewski, SVP and GM of Network Switching, highlights co-packaged optics (CPO) as a promising technology for scale-up networking, integrating fiber links directly into product packages for higher speed signals with lower power consumption and latency. Marvell's light engine provides to 51 Tbps bandwidth for scale-up switches and supports reliable large-scale deployment.
Introducing "Coherent-Lite" for Data Center Connectivity
- Marvell's Achyut Shah introduces coherent-lite for intermediate-reach data center connectivity.
- It combines coherent modulation, O-band optics, and a re-architected DSP for links from 2 km to 20 km.
Full summary
Achyut Shah, SVP and GM of Connectivity, introduces the company's new "coherent-lite" technology, addressing intermediate-reach connectivity needs in data centers. This solution combines coherent modulation with O-band optics and a re-architected DSP to provide lower latency, cost, and power consumption for links ranging from 2 km to 20 km.
Custom Silicon & Accelerated Infrastructure for AI
- Marvell's Chris Koopmans cites strong hyperscaler market growth and Marvell's custom compute and networking position.
- The focus is tailored solutions for large customers to expand market opportunities for AI infrastructure.
Full summary
Chris Koopmans, Chief Operations Officer, discusses the significant growth of the hyperscaler market and Marvell's strong position in delivering custom compute and networking solutions for AI and accelerated infrastructure. He emphasizes Marvell's focus on creating tailored solutions for large customers, aiming to expand market opportunities and develop new capabilities that provide value across diverse applications.
PAM Technology: Powering Data Centers Today and Tomorrow
- Marvell's Achyut Shah highlights PAM technology's dominance in data centers for power efficiency and low latency.
- He predicts 400 Gig per lane becomes the high-volume data center technology within a couple of years.
Full summary
Achyut Shah, SVP and GM of Connectivity, discusses the current dominance of PAM technology in data centers, highlighting its advantages in power efficiency, low latency, and high TCO. Shah predicts that 400 Gig per lane will become the high-volume technology in data centers within a couple of years, with ongoing R&D efforts to extend PAM's capabilities even further.
Custom Silicon is the Driver of Optimized AI Infrastructure
- Marvell's Raghib Hussain sees optimized AI infrastructure built on custom silicon for data centers.
- Partnerships with Amazon and Meta show customization delivering power and cost savings at scale.
Full summary
Raghib Hussain, President of Products and Technologies, highlights the growing trend of developing optimized AI infrastructure using custom silicon for data centers. Hussain discusses Marvell's partnerships with major tech giants like Amazon and Meta, emphasizing the value of customization in achieving power and cost savings at scale.
Optimizing the Stack for AI Models and Infrastructure
- Marvell's Noam Mizrahi contrasts high-performance AI training with cost-effective inference, requiring customization.
- Hyperscalers must optimize everything from accelerator chips to power systems for effective scaling.
Full summary
Noam Mizrahi, EVP and Corporate CTO, highlights the contrasting demands in AI between high-performance training and cost-effective inference, emphasizing the necessity for customization to meet diverse requirements. He anticipates that hyperscalers will need to optimize all aspects of their platforms, from accelerator chips to power systems, to achieve effective scaling in the future.
Scaling Networks Beyond the Rack: Choosing the Right Interconnect Technology
- Marvell's Nick Kucharewski examines expanding networks from rack to row level.
- Key deployment factors include capacity, fault tolerance, and field replaceability.
Full summary
Nick Kucharewski, SVP and GM of Network Switching, explores the challenges of expanding networks from rack to row level and the critical role of interconnect technology selection. He outlines key factors for network deployment, including capacity, fault tolerance, and field replaceability.
Marvell's Breakthrough High Bandwidth Memory Architecture
- Marvell's Will Chu announces partnerships with major HBM providers for custom high bandwidth memory.
- Custom HBM cuts power consumption, boosts memory capacity, and improves TCO for AI data centers.
Full summary
Will Chu, SVP and GM of Custom Compute and Storage BU, announces a partnership with major HBM (high bandwidth memory) providers to deliver custom HBM solutions for next-generation AI data centers. This enables significant reductions in power consumption, increased functionality, and improved memory capacity, resulting in better performance and enhanced TCO for Marvell's customers.
Implementing AI Directly on the RAN
- Marvell embedded an AI accelerator (NPU) into its Octeon line, used in about 50% of base stations outside China.
- The NPU is exposed via the Apache TVM project, letting developers innovate on the RAN with open-source tools.
Full summary
Joel Brand, Senior Director of Product Marketing at Marvell, discusses the integration of AI into their Octeon product line, used by major companies like Nokia and Samsung, and utilized in about 50% of base stations outside China. Marvell has embedded an AI accelerator, or NPU, into the Octeon line, which is exposed to the broader development community via the Apache TVM project, allowing the use of standard open-source tools to innovate directly on the radio Access Network, potentially driving incremental revenue in the Telco environment.
Custom Silicon for Hyperscale Data Centers
- Marvell's Nigel Alvares details custom silicon co-developed with hyperscalers for optimized performance, power, and cost.
- He announces Meta's FB NIC, open-sourced to OCP and built on Marvell's 5-nanometer platform.
Full summary
Nigel Alvares, VP of Global Marketing at Marvell, discusses the company's collaboration with hyperscalers to create custom silicon for optimized performance, power, and cost. He announces Meta's release of the FB NIC, a network interface controller, which Marvell has open-sourced to the OCP community, demonstrating the use of Marvell's 5-nanometer platform for tailored silicon solutions.
3nm Drives PCIe Gen 7
- Marvell's Annie Liao discusses PCIe retimers addressing the challenge of rising interconnect speeds.
- Its Gen 6 and Gen 7 solutions extend trace lengths to support upcoming PCI advancements.
Full summary
Annie Liao, Product Management Director at Marvell, discusses PCI's evolution as a standard protocol for computer system connectivity and the challenges of increasing speeds. Marvell is addressing these challenges with PCI retimers, showcasing Gen 6 and Gen 7 solutions that extend trace lengths and support upcoming advancements in PCI technology.
Transmit-Retimed Optical DSPs Yield Huge Power Savings
- Marvell's Spica Gen2-T is a transmit-only DSP enabling a new Transmit Retimed Optical (TRO) module.
- The TRO module cuts power consumption by 40% while preserving flexibility and scalability for AI clusters.
Full summary
Marvell VP of Product Marketing, Xi Wang, highlighted the rising demand for optical connectivity in AI cluster. Marvell has introduced a new product, Spica Gen2-T, a transmit-only DSP that enables a new type of optical module, the Transmit Retimed Optical (TRO) module, which can reduce power consumption by 40% while ensuring flexibility and scalability.
New 800ZR and 800ZR+ Pluggables Extend Reach
- Marvell's Orion DSP uses probabilistic constellation shaping (PCS) for hyperscalers needing greater distance.
- PCS extends 800G reach beyond 1,000 km, versus 500 km for 800G ZR+.
Full summary
Stephen Adolph, AVP of CDSP Product Line Management at Marvell, introduces Orion DSP that uses probabilistic constellation shaping (PCS), crucial for hyperscale network operators needing increased network distance. PCS extends 800G reach to over 1,000 km, an improvement over 800G ZR+ at 500 km.
A New Class of Silicon Photonics for AI Data Centers
- Marvell unveiled a 3D SiPho engine delivering 6.4 Tbps with 200G I/O for AI applications.
- The 3D SiPho Engine offers 2x bandwidth density and 30% lower power per bit versus 100 Gbps interfaces.
Full summary
Loi Nguyen, EVP and GM of Optical at Marvell, unveiled their 3D SiPho engine, a silicon photonics engine that delivers 6.4 Tbps, enhancing speeds for AI applications. Featuring 200G I/O, the 3D SiPho Engine delivers 2x the bandwidth and input/output (I/O) bandwidth density, and 30% lower power per bit versus devices with 100 Gbps electrical and optical interfaces.
Demonstrating Marvell's Latest Portfolio Solutions for AI
- Marvell showcased a 51 Tbps switch, 800G AEC cables, and 800G optics for low-latency AI switching.
- The demo included a liquid-cooled 51 Tbps platform and another using 64 800G OSFP modules.
Full summary
George Hervey, Principal Architect at Marvell, showcased their AI infrastructure solutions: a 51 Tbps switch, 800G AEC cables, and 800G optics for low-latency switching. The demonstration also highlighted a 51 Tbps platform with a liquid cooling option and another 51 Tbps platform using 64 800G OSFP modules.
Massive Upgrades Coming with 200G per Lane Channels
- Marvell unveiled Nova 2, an optical DSP addressing the shift to 200G per lane.
- Nova 2 enables 1.6 Tbps optical transceiver modules for next-generation AI connectivity and compute.
Full summary
Marvell's Vice President of Product Marketing, Xi Wang, unveiled a new product, Nova 2 designed to address the shift to 200G. Nova 2, an optical DSP, facilitates the construction of 1.6 Tbps optical transceiver modules, enhancing connectivity and computing power for next-generation AI.
Demonstrating Marvell's Latest Portfolio Solutions for AI
- Marvell showcased a 51 Tbps switch, 800G AEC cables, and 800G optics for low-latency AI switching.
- The demo included a liquid-cooled 51 Tbps platform and another using 64 800G OSFP modules.
Full summary
George Hervey, Principal Architect at Marvell, showcased their AI infrastructure solutions: a 51 Tbps switch, 800G AEC cables, and 800G optics for low-latency switching. The demonstration also highlighted a 51 Tbps platform with a liquid cooling option and another 51 Tbps platform using 64 800G OSFP modules.
AI Clusters and Custom Silicon in 2024
- Marvell's Noam Mizrahi forecasts larger AI clusters needing higher bandwidth and ultra-complex custom silicon ASICs.
- He predicts a shift from AI training to inference, requiring more optimized infrastructure with unique network features.
Full summary
Noam Mizrahi, EVP and Corporate CTO at Marvell, forecasts the growth of larger and more demanding AI clusters will require higher bandwidth connectivity and the development of ultra-complex custom silicon ASICs, optimized for specific use cases. Mizrahi also predicts a shift from training AI models to inference, necessitating a more optimized infrastructure with unique network features.
Scaling AI Clusters: Optical Connectivity's Key Role in Data Transport
- Marvell's Radha Nagarajan stresses optical connectivity for managing data transport as AI clusters grow.
- Marvell's 1.6 DSP for the 1.60 generation is ready to meet demand in AI-centric data centers.
Full summary
Radha Nagarajan, SVP and CTO of Optical and Cloud at Marvell, emphasized the importance of optical connectivity in managing data transport as AI clusters increase in size. With the introduction of a 1.6 DSP for the 1.60 generation, Marvell is ready to meet the growing demand for optical connectivity solutions in AI-centric data centers.
Mobile Industry Evolving with AI
- Marvell's Joel Brand notes rising participation from India and Asia and growing AI and machine learning interest at MWC.
- A larger hyperscaler presence and cloud-integration discussions are drawing new cloud players to the event.
Full summary
Joel Brand, Senior Director of Product Marketing at Marvell, observed an increased participation from India and Asia, a growing interest in AI and machine learning, and a larger presence of hyperscalers at the Mobile World Congress. He also noted prevalent discussions around cloud integration, attracting many new cloud players to the event, and expressed anticipation for the continued evolution of the industry.
800ZR/ZR+ OSFP for Regional Data Center Interconnects
- Marvell's 800 Gbps ZR/ZR+ coherent pluggable module converts a switch or router into a transport platform.
- Leveraging Marvell's DSP, TIAs, drivers, and silicon photonics, it enables 25.6 terabits single-fiber capacity between data centers.
Full summary
Radha Nagarajan, SVP and CTO of Optical and Cloud at Marvell, highlighted the company's new 800 Gbps ZR/ZR+ coherent pluggable module designed to enhance data center connectivity by converting a switch or router into a transport platform. The module, which leverages Marvell's capabilities at 800 gig, including the DSP, high-speed TIAs, drivers, and silicon photonics, enables a single fiber capacity of 25.6 terabits between data centers, facilitating larger data aggregation.
What's next for cloud infrastructure in 2023?
- Marvell's Nigel Alvares sees hyperscalers leading as forces of innovation for cloud infrastructure.
- He points to new technologies on tap for cloud infrastructure in 2023.
Full summary
Hyperscalers are leading forces for innovation. What new technologies are on tap for cloud infrastructure in 2023? Marvell's Nigel Alvares makes his predictions for what's next on cloud infrastructure in 2023.
Accelerating Virtual 5G Distributed Unit Processing
- Marvell's Joel Brand details silicon optimized for the RU, DU, and now the virtualized DU.
- The virtualized DU offloads functions to host servers aided by dedicated-silicon accelerator cards.
Full summary
In the drive toward O-RAN and v-RAN, silicon vendors are racing toward smaller geometries, and Marvell is on the leading edge with portfolio optimized for the RU, DU and now the virtualized DU, says Joel Brand, Senior Director, Product Marketing, Marvell. The idea with the virtualized DU is to process some of the functionality in a host server leveraging cloud technologies and a new generation of accelerator cards powered by dedicated silicon. Download AvidThink's MWC 2022 Report Collection to explore exclusive insights and research findings on hot topics covered at MWC 2022.
MWC Americas: Silicon powers the network
- Marvell's Joel Brand shares a perspective on the silicon that powers the mobile networks we all rely upon.
Full summary
Market drivers for Active Electrical Cables
- Marvell's AECs, powered by Alaska PAM4 DSPs, overcome the distance limits of passive direct attach cables.
- They enable 400G, 800G, and 1.6T server-to-switch and switch-to-switch interconnects using 100G serial I/Os.
Full summary
Venu Balasubramonian, VP of product marketing, High Speed Connectivity and PHY Business Unit, Marvell, explains how AECs (such as those powered by Marvell Alaska’s PAM4 DSPs) overcome distance constraints of passive direct attach cables and enable next-generation 400G, 800G and 1.6T server-to-switch and switch-to-switch interconnects that require 100G serial I/Os.
5G Adoption, Cloud and RAN Ecosystems, Private 5G
- Marvell's Joel Brand highlights 5G adoption, cloud and RAN ecosystems, and private 5G for 2022.
Full summary
Joel Brand, Senior Director, Product Marketing at Marvell, shares predictions for 2022. Download AvidThink's 2021 Select Report Collection to explore strategies and opportunities in the Telco, Private Mobile Networks, Service Assurance, SD-WAN and Open RAN space.
Automotive Ethernet, Car-to-Cloud, Custom Silicon
- Marvell's Will Chu points to automotive Ethernet, car-to-cloud, and custom silicon in 2022.
Full summary
Will Chu, SVP & General Manager, Automotive at Marvell, shares predictions for 2022. Download AvidThink's 2021 Select Report Collection to explore strategies and opportunities in the Telco, Private Mobile Networks, Service Assurance, SD-WAN and Open RAN space.
Cloud Optimized Infrastructure
- Marvell's Nigel Alvares predicts cloud-optimized infrastructure as a 2022 priority.
Full summary
Nigel Alvares, Vice President of Solutions Marketing at Marvell, shares predictions for 2022. Download AvidThink's 2021 Select Report Collection to explore strategies and opportunities in the Telco, Private Mobile Networks, Service Assurance, SD-WAN and Open RAN space.
Coherent Pluggables, Cloud RAN, Cloud Silicon
- Marvell's Radha Nagarajan flags coherent pluggables, cloud RAN, and cloud silicon for 2022.
Full summary
Radha Nagarajan, SVP & CTO, Optical & Copper Connectivity at Marvell, shares predictions for 2022. Download AvidThink's 2021 Select Report Collection to explore strategies and opportunities in the Telco, Private Mobile Networks, Service Assurance, SD-WAN and Open RAN space.
Radio Access Networks will Never be the Same
- Marvell says Open RAN draws more hyperscaler interest as networks virtualize at the far and near edge.
- Marvell discusses the opportunities and emerging market trends Open RAN offers.
Full summary
As networks become more virtualized, both at the far edge and near edge, Open RAN is drawing more interest and participation from hyperscalers. In this video, Raj Singh, EVP Processor Business Group at Marvell, discusses the opportunities Open RAN offers networks and the emerging trends in the market. Download AvidThink's 2021 Open RAN Report to explore key infrastructure considerations for Open RAN and O-RAN adoption.