Marvell-Google AI Chip Talks Advance for 2 Processors, Shares Rise 4.2%

Vivian Underwood, Policy Editor

Marvell-Google AI chip talks advance for two custom data center processors, Reuters reported on January 20, 2026. Marvell shares rose 4.2% in after-hours trading. Surging AI workloads elevate grid-scale battery storage demands.

Google targets these chips for AI training and inference. Marvell supplies high-performance networking semiconductors. Data centers consume continuous megawatts for large language models.

Grid constraints challenge operators as AI scales. Utility-scale batteries handle peaks and integrate renewables. Policies favor long-duration energy storage (LDES) exceeding 4-hour discharge.

Data Center Power Demands Escalate in Marvell-Google AI Chip Talks

These chips improve efficiency but densify racks further. Google deploys tensor processing units (TPUs) fleet-wide.

Uptime Institute's 2024 Global Data Center Survey reports racks exceeding 100 kW density. Lithium-ion batteries offer 250 Wh/kg energy density and 5,000 cycles at 80% depth of discharge (DoD).

International Energy Agency (IEA) forecasts data centers doubling electricity use to 1,000 TWh by 2026. Marvell accelerates Google's custom silicon push.

Tesla installs 1.5 GWh Megapacks at hyperscaler sites. Each unit delivers 3.9 MWh, grid services, and black-start. FERC Order 1920 mandates transmission planning for these loads.

Second-Life EV Batteries Meet AI Infrastructure Needs

Second-life EV batteries enable stationary storage. Ford and GM supply packs to data centers. Retired modules achieve 90% round-trip efficiency (RTE) at 160 Wh/kg.

They retain 3,000 cycles at 80% DoD post-vehicle. Levelized cost of storage (LCOS) drops to USD 120/MWh, per BloombergNEF. This cuts new-build costs 40%.

Inflation Reduction Act (IRA) grants 30% investment tax credit (ITC) for >3-hour storage. US-made cells qualify for USD 35/kWh production tax credits (PTC).

Vehicle-to-grid (V2G) pilots grow. California PG&E tests 50 MW EV fleets for data centers. FERC docket PL21-3-000 sets interstate V2G rules.

Policies Drive Battery Storage Adoption for AI Data Centers

FERC Order 841 allows storage in wholesale markets since 2020. Batteries earn USD 100/kW-year capacity payments as dispatchable assets. PG&E operates 200 MW/800 MWh near Silicon Valley, per CAISO.

New York CLCPA aims for 6 GW storage by 2030. ERCOT adds 5 GW batteries for AI peaks at 95% availability.

EU Battery Regulation requires 16% recycled content by 2030. EMEA tests sodium-ion at 160 Wh/kg, 10,000 cycles. CATL pilots 100 MWh iron-air LDES at 20 hours.

FERC Order 841 enables revenue stacking from arbitrage, regulation, and firming.

Supply Chain Realities Shape Storage for AI Power Surge

Lithium carbonate prices fell 80% to USD 12,000/tonne in 2025, per Benchmark Mineral Intelligence. NMC cathode costs reach USD 20/kWh. Packs hit USD 100/kWh at scale.

Hyperscalers secure 1 GW solar/wind from NextEra. Google pairs 500 MWh storage with gas peakers.

US DOE allocates USD 1.5 billion for HVDC lines serving data centers.

Marvell chips enable edge AI. Central hubs need gigawatt power. Batteries arbitrage rates, cutting bills 25%.

Key stakeholders:

• Google requires 99.999% uptime.
• Utilities defer loads.
• Manufacturers tap IRA credits.
• Advocates favor LDES over peakers.

Battery Innovations Ensure AI Infrastructure Reliability

AI chips cut compute costs 30%. Power reliability limits rollout. Batteries respond in 100 ms, outpacing hydro.

IRA stacking lasts to 2032. FERC Order 1920 demands load forecasts.

V2G scales to 10 GW in PJM, MISO, CAISO by 2028.

Reuters confirms Marvell-Google AI chip talks. IRA and FERC reforms tackle AI power bottlenecks.