Recent #Data center news in the semiconductor industry

11 months ago
1. Marvell Technology's data center growth surged in Q3'25, with a 98% increase driven by AI demand; 2. A major restructuring in Q3'25 refocused Marvell on data center products to enhance operational leverage and profitability; 3. Marvell's strategic partnership with AWS and advancements in custom AI silicon and optical products are expected to drive significant growth in eFY26.
AIData centerGrowth
11 months ago
➀ Fujitsu unveils its Monaka processor, a 144-core Armv9-based chip designed for future data centers; ➁ The chip is built on TSMC's N2 process and features a CoWoS system-in-package with SRAM tiles and hybrid copper bonding; ➂ Fujitsu aims for superior energy efficiency by 2026-2027, using air cooling.
2nm3D-stacking5nmAMD EPYCArmCPUChipletsData centerEnergy efficiencyFujitsuIntel XeonMonaka
11 months ago
➀ Kioxia and Pure Storage are collaborating to provide storage solutions for hyperscalers; ➁ The companies aim to offer a storage platform designed to meet the needs of hyperscale environments, with benefits such as increased performance, improved cost efficiency, and lower power consumption; ➂ Both companies emphasize the importance of all-flash technology and its role in addressing the complexities of modern hyperscale data centers.
Data centerKioxiastorage
11 months ago
➀ Marvell has announced a significant multi-year and multi-product win at AWS; ➁ The win includes custom AI products, optical digital signal processors (DSPs), active electrical cable (AEC) DSPs, PCIe retimers, data center interconnect (DCI) optical modules, and Ethernet switching silicon solutions; ➂ The deal is a competitive win against Broadcom and Astera Labs in various parts of the business.
AWSData centerMarvellNetworkingOptical Modulessemiconductor
11 months ago
➀ Intel CEO Pat Gelsinger visits Elon Musk’s Memphis data center and praises the deployment of Xeon processors; ➁ xAI team is commended for building the AI head node in a short amount of time; ➂ Intel’s financial struggles and its attempt to regain market share with Xeon chips are discussed.
AIData centerIntelNVIDIAXeonai acceleratorcpugamingtechnology
11 months ago
1. Advanced Micro Devices (AMD) is undervalued at $138 with significant profit growth potential, especially in the booming data center segment; 2. AMD's data center sales surged 122% YoY in Q3, driven by the MI300 accelerator, positioning it as a strong competitor to Nvidia Corporation; 3. Despite short-term technical challenges, AMD's fundamentals are robust, with expected profit growth of 54% in 2024, making it a compelling investment.
Data centerInvestment Analysis
11 months ago
1. Nvidia's Blackwell processors, initially delayed, are now in full production; 2. Nvidia's Q3 Data Center revenue hit record highs due to insatiable demand for AI accelerators; 3. Blackwell outperforms AMD's MI325X, with Nvidia's AI accelerators leading in efficiency and performance; 4. Nvidia's data center disruption is expected to drive over 100% revenue growth in fiscal 2025 and beyond.
Data centerNVIDIA
12 months ago
1. I rate Arista Networks a Buy due to its strong cash flow, premium valuation, and potential for value creation through M&A or increased buybacks. 2. Despite lower growth guidance, ANET's management has a history of underpromising and overdelivering. 3. The Company's premium multiple makes acquisitions highly accretive, potentially adding significant value via the valuation gap vs. the target.
Cash FlowData center
12 months ago
➀ Microsoft is experimenting with cross-laminated timber (CLT) for new data centers in Northern Virginia to reduce its carbon footprint. ➁ The company estimates that using wood in its data centers will cut its carbon footprint by 35% compared to steel construction. ➂ Greenhouse emissions are reduced by 65% when CLT replaces precast concrete.
AIConstructionData centerMicrosoftenergysustainability
about 1 year ago
1. NextEra Energy can achieve significant growth through co-development projects for baseload capacity to power the hyperscalers' AI factories; 2. Management will likely need to invest more attention into nuclear and SMR development to cater to this growing demand; 3. Data center capacity is forecast to grow at a 23% CAGR through 2030 with some data centers being as large as 1GW in capacity.
Data center
about 1 year ago

➀ Nvidia's Ian Buck discusses the shift from focusing on single chips to integrated systems;

➁ The transformation of data centers into AI factories due to the rise of AI;

➂ The increasing power and cooling requirements of GPUs and Nvidia's involvement in the Coolerchips project.

AIData centerGPU
about 1 year ago

➀ Solidigm, previously known as Intel, is a leading brand in the NAND solid-state drive industry, acquired by Intel and SK Hynix in 2020.

➁ The product naming rules of Solidigm are explained, using the example of a data center-oriented SSD.

➂ Advanced features of Solidigm's enterprise SSDs are highlighted.

➃ The product roadmap for PCIe NVMe includes U.2 form factor, increasing capacities, and the introduction of PCIe 5.0 products.

➄ The roadmap for SATA SSDs focuses on system drives with lower capacities and the continuation of SATA and M.2 form factors.

Data centerSSD
about 1 year ago

➀ The logic relationship between network cards, smart network cards, and DPUs;

➁ The reasons for the emergence of smart network cards and DPUs;

➂ The advantages of DPU over smart network cards;

➃ Product information of NVIDIA's BlueField-3 DPU;

➄ On-chip system layout of BlueField-3 DPU;

➅ Typical application scenarios of BlueField-3 DPU;

➆ Example of BlueField-3 DPU in VMware private cloud;

➇ NVIDIA's DPU roadmap.

DPUData centerNVIDIANetworking
about 1 year ago
➀ Dell has launched the new PowerEdge XE9712 with NVIDIA GB200 NVL72 AI servers, offering 30x faster real-time LLM performance over the H100 AI GPU; ➁ The system features 72 x B200 AI GPUs connected with NVLink technology, providing lightning-fast connectivity; ➂ Dell highlights the liquid-cooled system for maximizing datacenter power utilization and rapid deployment of AI clusters.
AIData centerDellGPULLMNVIDIAPerformanceTraininginference