# Data Center Related Articles

HTX News Center provides the latest articles and in-depth analysis on "Data Center", covering market trends, project updates, tech developments, and regulatory policies in the crypto industry.

$10 Billion, Qualcomm to Acquire Chip Legend Jim Keller's Company

Global mobile chip giant Qualcomm is in advanced talks to acquire AI chip startup Tenstorrent in a deal valued between $8-10 billion, according to media reports. This potential acquisition would be one of the largest in the AI chip sector in recent years. Tenstorrent, led by legendary chip architect Jim Keller, has gained prominence for its RISC-V architecture and AI accelerator designs. The move highlights Qualcomm's strategic push to diversify beyond its core smartphone chip business. As the smartphone market matures, Qualcomm is aggressively targeting growth in automotive, data center, and cloud AI. Acquiring Tenstorrent would allow Qualcomm to rapidly enter the high-end AI computing market, bypassing lengthy in-house development cycles. Tenstorrent's cost-effective system architecture, which avoids expensive HBM memory and relies on standard Ethernet for clustering, offers a potential alternative to Nvidia's costly solutions. Furthermore, Tenstorrent's high-performance RISC-V CPU technology and its focus on the automotive and edge computing segments align with Qualcomm's strategic goals, including its "Snapdragon Digital Chassis" platform. Despite the strategic rationale, the high valuation has sparked some investor caution. The successful integration of Tenstorrent's open-source culture and independent team into Qualcomm's organization, along with the commercialization of its technology, remains a key challenge.

marsbit06/18 11:16

$10 Billion, Qualcomm to Acquire Chip Legend Jim Keller's Company

marsbit06/18 11:16

Research Report Analysis: MRVL's Optical AI Booming, Why High Valuation Keeps Morgan Stanley's Star Analyst Sidelined?

Report Recap: MRVL Optical AI Boom - Why High Valuation Led Morgan Stanley's Star Analyst to Stay Neutral? Morgan Stanley analyst Joseph Moore maintained an "Equal-weight" (Neutral) rating on Marvell Technology (MRVL) on May 28, raising the price target from $172 to $195, below the trading price. This stance comes despite Marvell reporting a record quarter and significantly raising its full-year outlook (FY27 revenue ~$11.5B, up ~40%). Moore's neutral view is based on valuation. The $195 target implies ~40x CY2027 P/E. He contrasts MRVL with NVDA: both trade near ~$200, but Nvidia's forward EPS is more than double Marvell's. For MRVL's valuation to hold, it needs consistent earnings upgrades, proof of networking market share gains, or certainty on large-scale custom AI chip shipments—none of which are confirmed yet. Growth is driven by two pillars: **1) Optical Interconnect** (the faster runner): Moore raised FY27 growth expectations to >70%, with the optical module product line nearing a $1B annualized run rate. **2) Custom AI Chips** (the climber): Confidence in FY28 is growing, but a major new customer project only ramps in FY28, with no current revenue visibility. Key risks are the underperforming Storage, Enterprise, and legacy Networking segments. Moore acknowledges the real AI opportunity but believes the current price already reflects it. For the stock to work from here, investors need to see the optical business hit its targets, custom chips ramp as planned, and a recovery in the weaker business units.

marsbit06/17 11:39

Research Report Analysis: MRVL's Optical AI Booming, Why High Valuation Keeps Morgan Stanley's Star Analyst Sidelined?

marsbit06/17 11:39

Bernstein Report: Agentic AI Will Transform CPU from Supporting Role to Leading Role, Bullish on Hygon Information

Bernstein research report: Agentic AI will turn CPUs from supporting players to leading roles, bullish on Hygon Information. Analysts led by David Dai argue that AI is transitioning from the chatbot era to the agentic AI era. Unlike simple query-response models, agentic AI involves complex workflows including retrieval, planning, tool calling, and multi-step reasoning. This shift dramatically increases the demand for CPU compute to orchestrate these tasks, manage memory, and prevent expensive GPU idling. The report forecasts that the GPU-to-CPU ratio in inference clusters will reverse from 8:1 in 2025 to 1:1 by 2029. In agentic AI workloads, CPUs could account for 50% of the compute, on par with GPUs. Consequently, the server CPU Total Addressable Market (TAM) is projected to surge from $37 billion in 2025 to $223 billion by 2030, representing a 6x expansion. Arm is identified as a key beneficiary due to its superior performance-per-watt and a strategic shift from IP licensing to designing its own chips, targeting $15 billion in chip revenue by 2030. Bernstein raises Arm's price target to $500. For x86 vendors, the report is Overweight on AMD (target $600) and Hygon Information (target CNY 450), citing leadership and strong growth in the Chinese market respectively. Intel's target is raised to $100, reflecting upgraded earnings assumptions. The analysis acknowledges significant supply-side risks, questioning whether foundry and memory capacity can support such rapid CPU growth. The optimistic demand forecast also heavily relies on Nvidia's guidance for over $1 trillion in annual AI infrastructure spend by 2027.

marsbit06/17 09:46

Bernstein Report: Agentic AI Will Transform CPU from Supporting Role to Leading Role, Bullish on Hygon Information

marsbit06/17 09:46

The 800V Voltage Standard Championed by Nvidia: Which Infrastructure Providers Stand to Benefit?

NVIDIA is actively promoting the 800VDC architecture as a key direction for its next-generation AI factories and high-power racks, particularly for the upcoming Rubin and Kyber platforms. The primary driver is the rapidly increasing power density of AI racks, with designs like GB200/GB300 NVL72 reaching 120-140kW and future systems potentially hitting 180-220kW. At such high power levels, traditional low-voltage power delivery becomes inefficient due to massive current, leading to significant copper use, cable bulk, heat, and power loss. The 800VDC standard aims to increase efficiency by transmitting power at higher voltage and lower current to the rack before stepping it down locally for GPUs. NVIDIA claims this can improve efficiency by up to 5%, reduce total cost of ownership (TCO) by up to 30%, and cut copper usage by approximately 45%. This shift redefines infrastructure roles, pushing power engineering to the forefront alongside GPU performance. Key beneficiaries and ecosystem partners highlighted include: 1. **Power Infrastructure Providers:** Companies like Vertiv, Schneider Electric, Delta Electronics (台达电), and Korean firms LS Electric and HD Hyundai Electric are involved in designing next-gen AI factory power distribution, rack power supplies, and backup systems. 2. **Power Semiconductors:** Suppliers of SiC/GaN devices, such as Infineon and STMicroelectronics, are better suited for high-voltage, high-efficiency conversion in this new architecture. 3. **Connectivity & Structure:** The focus shifts to high-reliability components like busbars, high-voltage connectors, and advanced PCBs that meet stricter insulation and safety requirements. 4. **Liquid Cooling & Rack ODM:** As power and heat density rise, liquid cooling becomes critical. Full-rack system integrators (e.g., Dell, Wiwynn, Wistron) must now demonstrate robust pre-delivery testing capabilities, including burn-in testing under full load, requiring significant power and cooling infrastructure in their factories. The transition is not immediate for all data centers but is targeted at high-density AI factories. NVIDIA’s 800VDC ecosystem is in a preparatory phase, with full-scale production expected to align with the 2027 launch of Kyber rack-scale systems. The investment thesis revolves around which companies can demonstrate proven product integration, customer validation, and reliable delivery of complete, high-power AI rack systems, making power, cooling, and testing capabilities new critical variables in the AI infrastructure value chain alongside GPUs.

marsbit06/15 09:41

The 800V Voltage Standard Championed by Nvidia: Which Infrastructure Providers Stand to Benefit?

marsbit06/15 09:41

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