π¨π Global One SI - Prompt
Alphabet to raise $80B from share sales to fund AI spending splurge, Berkshire to invest $10B Very bullish news, as it shows again the limiting factor is no longer demand, models, or products, but compute supply. For years, the cleanest story was excessβ¦
In roughly 28 years, Google/Alphabet has tapped primary equity capital only seven times; the 2026 announced $80B raise is more than 10x all prior identified primary raises combined.
SK hynix just said AI memory demand is now so large that it will double wafer capacity within 5 years, yet still expects supply to stay tight until 2030.
A wafer is the round silicon starting plate that becomes thousands of memory chips, so doubling wafer capacity basically means SK hynix is trying to expand the physical base of its chip output, not just run current lines harder.
AI supply is increasingly constrained by the physical rhythm of memory manufacturing, where wafers, packaging, yields, and supply agreements move far slower than GPU roadmaps.
The pressure comes from HBM (High-bandwidth memor), the stacked memory used beside Nvidia GPUs.
HBM is hard to scale because it needs advanced DRAM, stacking, packaging, testing, and close work with GPU designers, which is why SK hynix is working with Nvidia and TSMC on HBM4 base dies.
---
The global memory market.
The global memory market has 2 main layers: DRAM, which includes the memory used next to CPUs and AI GPUs, and NAND flash, which is the storage inside SSDs, phones, and data centers.
In DRAM, the market is extremely concentrated, with Samsung at 38.5%, SK hynix at 28.8%, and Micron at 22.4% in 1Q26, meaning the top 3 control about 90% of global DRAM revenue.
In HBM, which is a premium submarket inside DRAM, the AI-specific memory used beside Nvidia GPUs, SK hynix is the market leader, with 58% share in 1Q26, while Samsung and Micron each had 21%.
HBM, or High Bandwidth Memory, is a special form of DRAM built for extreme data movement.
The difference is physical design.
Normal DRAM chips usually sit on memory modules or near the processor, and data moves through relatively narrower connections.
HBM stacks multiple DRAM dies vertically and places them very close to the GPU through advanced packaging, which creates a much wider data path.
That wider path gives AI chips much higher memory bandwidth, meaning the GPU can receive data faster instead of sitting idle.
A wafer is the round silicon starting plate that becomes thousands of memory chips, so doubling wafer capacity basically means SK hynix is trying to expand the physical base of its chip output, not just run current lines harder.
AI supply is increasingly constrained by the physical rhythm of memory manufacturing, where wafers, packaging, yields, and supply agreements move far slower than GPU roadmaps.
The pressure comes from HBM (High-bandwidth memor), the stacked memory used beside Nvidia GPUs.
HBM is hard to scale because it needs advanced DRAM, stacking, packaging, testing, and close work with GPU designers, which is why SK hynix is working with Nvidia and TSMC on HBM4 base dies.
---
The global memory market.
The global memory market has 2 main layers: DRAM, which includes the memory used next to CPUs and AI GPUs, and NAND flash, which is the storage inside SSDs, phones, and data centers.
In DRAM, the market is extremely concentrated, with Samsung at 38.5%, SK hynix at 28.8%, and Micron at 22.4% in 1Q26, meaning the top 3 control about 90% of global DRAM revenue.
In HBM, which is a premium submarket inside DRAM, the AI-specific memory used beside Nvidia GPUs, SK hynix is the market leader, with 58% share in 1Q26, while Samsung and Micron each had 21%.
HBM, or High Bandwidth Memory, is a special form of DRAM built for extreme data movement.
The difference is physical design.
Normal DRAM chips usually sit on memory modules or near the processor, and data moves through relatively narrower connections.
HBM stacks multiple DRAM dies vertically and places them very close to the GPU through advanced packaging, which creates a much wider data path.
That wider path gives AI chips much higher memory bandwidth, meaning the GPU can receive data faster instead of sitting idle.
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Jensen Huang gathered SK Hynix, Samsung, LG and Naver in Taipei.
Korea's importance is growing to Nvidiaβs stack. which supply memory, devices, factories, software, and large-scale demand for robotics.
Korean tech shares rallied on optimism over dinner
Korea's importance is growing to Nvidiaβs stack. which supply memory, devices, factories, software, and large-scale demand for robotics.
Korean tech shares rallied on optimism over dinner
π1
Tuesday, Jun 2 2026, 14:00 UTC time
π Latest Important Headlines β Markets & Macro
β US: White House updates tariffs β proclamation eases some steel, aluminium and copper duties, introduces targeted cuts (10% duty for heavy U.S.-using foreign firms; ag equipment tariffs down to 15%) and extends measures through Dec 31, 2027.
π US: Consumers' savings buffer largely gone β rising concern for consumption outlook; Treasury yields and dollar sensitive to inflation/labour cues.
π US: PJM proposes higher participant capitalization β minimum raised to $2M; relevance for US power market participants and credit risk.
β China: Factory activity shows weakness β automakers diverge as exports offset soft domestic demand; ChiNext extends gains intermittently.
π ChinaβGermany: China holds >11,000 German-developed patents β tech competition theme persists.
π Japan: Monetary base down 12.2% YoY in May; BOJ outlook eyed β markets price possible BOJ policy tweaking; talk of sales-tax cut for April 2027 adds fiscal stimulus speculation.
π Japan: Nikkei softens on fragile Mideast peace progress.
β South Korea: Inflation at 2-year high; won weakens toward 17-year low β higher inflation lifts rate-hike expectations; Barclays revises tighter path.
π Canada: May data points to ongoing manufacturing expansion β global asset managers accumulating Canadian government debt; key week for Canadian indicators.
π Australia: Minimum wage +4.75% (2.8M workers); Q1 current account deficit widened to A$27.12B β domestic demand mixed: corporate profits down, building permits and private house approvals fall; RBA rate outlook nudged by wage/inflation dynamics.
β Europe / Eurozone: Inflation surprises higher (flash & core); ECB rate-hike odds increase β euro firm; markets flag energy-driven inflation and sticky services. France budget deficit narrows; Swiss trade surplus widens.
π UK: Mortgage approvals and consumer credit mixed β housing market remains a key macro focus for BoE.
π Italy/France/Germany: Key Eurozone data & inflation previews β bund yields dip on oil; equities watch ECB guidance.
π Indonesia: Inflation accelerated in May (~3.08%); exports up but trade surplus narrowed β rupiah eased after data; imports surged.
π Brazil: US proposes 25% tariff vs Brazil over trade practices β potential bilateral trade friction; risk for EM sentiment.
β Middle East spillovers (USβIran/Hezbollah): Partial ceasefire / peace-talk progress β oil swings ease; dollar and treasury yields react to risk sentiment; gold steadies/rises as hedge.
π Commodities & FX: Gold steady to higher; silver pressured by inflation worries; copper/aluminium up on tariff clarity. Dollar trading in narrow band; Treasury yields volatile but eased on ceasefire news.
π Market Takeaway: Geopolitics (Mideast ceasefire progress) + US tariff reshuffle and sticky global inflation are driving crossβasset moves. Central-bank divergence (ECB/BOJ/BoJ hints, RBA wage-driven maths, Korea inflation) keeps FX and rates markets reactive β focus next 72 hours on US data, Eurozone inflation prints, Japan BOJ signals, and tariff implementation details.
π Latest Important Headlines β Markets & Macro
β US: White House updates tariffs β proclamation eases some steel, aluminium and copper duties, introduces targeted cuts (10% duty for heavy U.S.-using foreign firms; ag equipment tariffs down to 15%) and extends measures through Dec 31, 2027.
Market impact: metals and related stocks volatile; copper/aluminium rally on tariff clarity. π US: Consumers' savings buffer largely gone β rising concern for consumption outlook; Treasury yields and dollar sensitive to inflation/labour cues.
π US: PJM proposes higher participant capitalization β minimum raised to $2M; relevance for US power market participants and credit risk.
β China: Factory activity shows weakness β automakers diverge as exports offset soft domestic demand; ChiNext extends gains intermittently.
FX/Equity sensitivity to growth surprises remains high. π ChinaβGermany: China holds >11,000 German-developed patents β tech competition theme persists.
π Japan: Monetary base down 12.2% YoY in May; BOJ outlook eyed β markets price possible BOJ policy tweaking; talk of sales-tax cut for April 2027 adds fiscal stimulus speculation.
π Japan: Nikkei softens on fragile Mideast peace progress.
β South Korea: Inflation at 2-year high; won weakens toward 17-year low β higher inflation lifts rate-hike expectations; Barclays revises tighter path.
π Canada: May data points to ongoing manufacturing expansion β global asset managers accumulating Canadian government debt; key week for Canadian indicators.
π Australia: Minimum wage +4.75% (2.8M workers); Q1 current account deficit widened to A$27.12B β domestic demand mixed: corporate profits down, building permits and private house approvals fall; RBA rate outlook nudged by wage/inflation dynamics.
β Europe / Eurozone: Inflation surprises higher (flash & core); ECB rate-hike odds increase β euro firm; markets flag energy-driven inflation and sticky services. France budget deficit narrows; Swiss trade surplus widens.
π UK: Mortgage approvals and consumer credit mixed β housing market remains a key macro focus for BoE.
π Italy/France/Germany: Key Eurozone data & inflation previews β bund yields dip on oil; equities watch ECB guidance.
π Indonesia: Inflation accelerated in May (~3.08%); exports up but trade surplus narrowed β rupiah eased after data; imports surged.
π Brazil: US proposes 25% tariff vs Brazil over trade practices β potential bilateral trade friction; risk for EM sentiment.
β Middle East spillovers (USβIran/Hezbollah): Partial ceasefire / peace-talk progress β oil swings ease; dollar and treasury yields react to risk sentiment; gold steadies/rises as hedge.
π Commodities & FX: Gold steady to higher; silver pressured by inflation worries; copper/aluminium up on tariff clarity. Dollar trading in narrow band; Treasury yields volatile but eased on ceasefire news.
π Market Takeaway: Geopolitics (Mideast ceasefire progress) + US tariff reshuffle and sticky global inflation are driving crossβasset moves. Central-bank divergence (ECB/BOJ/BoJ hints, RBA wage-driven maths, Korea inflation) keeps FX and rates markets reactive β focus next 72 hours on US data, Eurozone inflation prints, Japan BOJ signals, and tariff implementation details.
π¨π Global One SI - Prompt
$SPAI/USD H2 #Indicator #Signal #Trading #GlobalOneAI
$SPAI
The market loves AI.
The market loves defense.
The market loves drones.
SPAI now sits directly at the intersection of all three.
Fresh U.S. Army order.
Partnership ecosystem involving $RCAT drone technology.
And the chart just broke through major resistance near $6.30.
When narrative and technicals align, things can get interesting very quickly.
Definitely one I'm watching closely.
The market loves AI.
The market loves defense.
The market loves drones.
SPAI now sits directly at the intersection of all three.
Fresh U.S. Army order.
Partnership ecosystem involving $RCAT drone technology.
And the chart just broke through major resistance near $6.30.
When narrative and technicals align, things can get interesting very quickly.
Definitely one I'm watching closely.
π¨π Global One SI - Prompt
$LASE/USD H2 #Indicator #Signal #Trading #GlobalOneAI
$LASE One defense name quietly getting stronger.
The company just announced its Laser Shield Anti-Drone (LSAD) system was selected as a top submission by government reviewers under the MEIA Vulcan Call for Solutions.
Now invited to an exclusive technical exchange with government engineers for further evaluation.
Meanwhile the chart is pressing against a multi-month descending trendline with volume expanding.
Defense.
Counter-drone.
Government validation.
The breakout may just be getting started.
#Defense #Drones #AI #Stocks
The company just announced its Laser Shield Anti-Drone (LSAD) system was selected as a top submission by government reviewers under the MEIA Vulcan Call for Solutions.
Now invited to an exclusive technical exchange with government engineers for further evaluation.
Meanwhile the chart is pressing against a multi-month descending trendline with volume expanding.
Defense.
Counter-drone.
Government validation.
The breakout may just be getting started.
#Defense #Drones #AI #Stocks
π¨π Global One SI - Prompt
$GRRR π This consolidation is getting VERY tightβ¦ and that usually precedes expansion. After the massive run earlier this year, price spent months cooling off while quietly building a base. Now momentum is starting to return. The Technicals: β
Descendingβ¦
$GRRR As expected. A couple weeks ago the chart was quietly building.
Higher lows.
Volume compression.
Momentum improving.
Most traders ignored it.
Today?
- $2 BILLION AI infrastructure deal announced
- Massive expansion of the India strategy
- Partnership execution with Supermicro
- Fresh breakout to new highs
This is exactly why I kept highlighting the AI Infrastructure theme. The winners of this cycle aren't only building AI. They're building the infrastructure that AI needs to exist.
Data centers.
Power.
Cooling.
Deployment.
Sovereign AI networks.
$GRRR is rapidly evolving from an underfollowed AI infrastructure name into a company executing on projects measured in billions.
The chart saw it first.
The news is catching up now.
Sometimes the biggest moves begin long before the crowd realizes what's happening.
Patience REWARDS... As Always
#AI #DataCenters #Infrastructure #GRRR #Stocks #Trading #Supermicro
Higher lows.
Volume compression.
Momentum improving.
Most traders ignored it.
Today?
- $2 BILLION AI infrastructure deal announced
- Massive expansion of the India strategy
- Partnership execution with Supermicro
- Fresh breakout to new highs
This is exactly why I kept highlighting the AI Infrastructure theme. The winners of this cycle aren't only building AI. They're building the infrastructure that AI needs to exist.
Data centers.
Power.
Cooling.
Deployment.
Sovereign AI networks.
$GRRR is rapidly evolving from an underfollowed AI infrastructure name into a company executing on projects measured in billions.
The chart saw it first.
The news is catching up now.
Sometimes the biggest moves begin long before the crowd realizes what's happening.
Patience REWARDS... As Always
#AI #DataCenters #Infrastructure #GRRR #Stocks #Trading #Supermicro
π¨π Global One SI - Prompt
Weather markets on Polymarket are full of easy money - if you know whose trades to follow Most people are just guessing on temperature outcomes while a small group of traders is consistently extracting edge using actual modeling and data Here's exactlyβ¦
6 traders made $470,000+ in profit trading weather markets on Polymarket - a niche most people completely ignore
These aren't lucky bets. Each of them built a repeatable edge around temperature data that the market consistently misprices
Here's the full ranking:
1. Russell110320
+$44K profit | 64.3% win rate | 150 trades
Trades global climate records, not city temps. Monthly anomaly ranges, "hottest on record" outcomes
Best trade: $32,475 β $42,759 on February global temp record
2. HondaCivic
+$55K profit | 84.2% win rate | 3,828 trades
The lowest-entry specialist on this list
Best trade: $37 β $15,182 on a Hong Kong temperature market
3. HenryTheAtmoPhD
+$56K profit | 36.5% win rate | 3,472 trades
Retired professor of atmospheric science. Pure domain expertise applied to city temperature markets in Seoul, NYC, London
Best trade: $13 β $1,586
4. BeefSlayer
+$62K profit | 68.2% win rate | 1,585 trades
US cities only - Seattle, Atlanta, Chicago, NYC. One of the cleanest risk/reward profiles in weather trading
Best trade: $6 β $2,990 on an Atlanta temperature market
5. VibeTrader
+$133K profit | 37.7% win rate | 5,114 trades
Dominates NYC and Miami daily temps while also running positions on Elon Musk tweet count markets
Biggest win: $21,300
6. Π‘oldMath
+$125K profit | 81.7% win rate | 6,575 trades
Not a manual trader. Runs an automated bot that scans real-time weather data 24/7 and fires when it finds even a tiny mispricing
Biggest win: $25 β $12,452 on Tokyo temp
All of these wallets are fully public. If you want to study how they actually enter positions - what price levels, which cities, which timing - their entire trade history is available on Parity
The patterns become obvious fast
These aren't lucky bets. Each of them built a repeatable edge around temperature data that the market consistently misprices
Here's the full ranking:
1. Russell110320
+$44K profit | 64.3% win rate | 150 trades
Trades global climate records, not city temps. Monthly anomaly ranges, "hottest on record" outcomes
Best trade: $32,475 β $42,759 on February global temp record
2. HondaCivic
+$55K profit | 84.2% win rate | 3,828 trades
The lowest-entry specialist on this list
Best trade: $37 β $15,182 on a Hong Kong temperature market
3. HenryTheAtmoPhD
+$56K profit | 36.5% win rate | 3,472 trades
Retired professor of atmospheric science. Pure domain expertise applied to city temperature markets in Seoul, NYC, London
Best trade: $13 β $1,586
4. BeefSlayer
+$62K profit | 68.2% win rate | 1,585 trades
US cities only - Seattle, Atlanta, Chicago, NYC. One of the cleanest risk/reward profiles in weather trading
Best trade: $6 β $2,990 on an Atlanta temperature market
5. VibeTrader
+$133K profit | 37.7% win rate | 5,114 trades
Dominates NYC and Miami daily temps while also running positions on Elon Musk tweet count markets
Biggest win: $21,300
6. Π‘oldMath
+$125K profit | 81.7% win rate | 6,575 trades
Not a manual trader. Runs an automated bot that scans real-time weather data 24/7 and fires when it finds even a tiny mispricing
Biggest win: $25 β $12,452 on Tokyo temp
All of these wallets are fully public. If you want to study how they actually enter positions - what price levels, which cities, which timing - their entire trade history is available on Parity
The patterns become obvious fast
β1
German robotics and autonomy companies are aiming for serious capital this year.
In March, Bloomberg said NEURA Robotics was in talks to raise ~β¬1B / $1.2B at a ~β¬4B valuation for its humanoid push.
Now it is reported SoftBank is in early talks to back Agile Robotsβ ~$800M round.
In May, Helsing was said to be nearing a ~$1.2B raise at an ~$18B valuation, while drone startup Stark was seeking β¬300M+ at a ~β¬2.5B valuation.
In March, Bloomberg said NEURA Robotics was in talks to raise ~β¬1B / $1.2B at a ~β¬4B valuation for its humanoid push.
Now it is reported SoftBank is in early talks to back Agile Robotsβ ~$800M round.
In May, Helsing was said to be nearing a ~$1.2B raise at an ~$18B valuation, while drone startup Stark was seeking β¬300M+ at a ~β¬2.5B valuation.
The bottleneck for mass-producing humanoids is not just AI.
It's the actuator and the supply base that sits underneath it.
Study these companies for each of the components.
- Japan dominates precision mechanical (reducers, bearings).
- Germany and Switzerland own high-end motion.
- China owns volume motors, reducers, and the upstream magnet supply.
Who am I missing?
It's the actuator and the supply base that sits underneath it.
Study these companies for each of the components.
- Japan dominates precision mechanical (reducers, bearings).
- Germany and Switzerland own high-end motion.
- China owns volume motors, reducers, and the upstream magnet supply.
Who am I missing?
The robotics race won't be won by legs.
Dancing, Kung Fu fighting robots capture mass attention. Hands unlock economic value.
Most deployed robots today use grippers, which work in structured industrial environments. The real world isn't structured.
Dexterous hands matter because manipulation in the wild requires:
- handling deformable objects
- adjusting grip force dynamically
- sensing slip before failure
- distinguishing texture, hardness, and temperature
- using tools designed for human hands
- operating safely beside people surviving millions of cycles at manufacturable cost
This is why dexterous hands are becoming one of the most important battlegrounds in physical AI.
Several enabling technologies are finally converging at once.
- Fingertip-scale multimodal tactile sensors
- Smaller high-torque actuators and frameless motors
- Micro harmonic reducers and precision transmission systems
- Flexible PCBs and dense embedded electronics
- Real-time force control and edge inference
- Lightweight composite materials
- Better imitation-learning and manipulation datasets
The hand is the missing interface layer between AI and the physical world.
Dancing, Kung Fu fighting robots capture mass attention. Hands unlock economic value.
Most deployed robots today use grippers, which work in structured industrial environments. The real world isn't structured.
Dexterous hands matter because manipulation in the wild requires:
- handling deformable objects
- adjusting grip force dynamically
- sensing slip before failure
- distinguishing texture, hardness, and temperature
- using tools designed for human hands
- operating safely beside people surviving millions of cycles at manufacturable cost
This is why dexterous hands are becoming one of the most important battlegrounds in physical AI.
Several enabling technologies are finally converging at once.
- Fingertip-scale multimodal tactile sensors
- Smaller high-torque actuators and frameless motors
- Micro harmonic reducers and precision transmission systems
- Flexible PCBs and dense embedded electronics
- Real-time force control and edge inference
- Lightweight composite materials
- Better imitation-learning and manipulation datasets
The hand is the missing interface layer between AI and the physical world.
A humanoid robot foot is basically a balance computer under pressure.
Inside one foot you can find the ankle interface compact actuator module sensing layer structural frame compliance layer and sole contact system working together in milliseconds.
>The actuator creates torque.
>The encoder tracks angle and velocity.
>The torque sensor estimates load.
>The frame carries impact from heel to toe.
>The elastomer layer absorbs shock.
>The sole pads read contact with the ground.
Walking looks simple from the outside.
Inside the foot every step is a fight between force friction timing and control.
Inside one foot you can find the ankle interface compact actuator module sensing layer structural frame compliance layer and sole contact system working together in milliseconds.
>The actuator creates torque.
>The encoder tracks angle and velocity.
>The torque sensor estimates load.
>The frame carries impact from heel to toe.
>The elastomer layer absorbs shock.
>The sole pads read contact with the ground.
Walking looks simple from the outside.
Inside the foot every step is a fight between force friction timing and control.
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Wuji Hand 2 a fully upgraded dexterous robotic hand designed for precision manipulation in embodied AI systems.
The company is positioning the hand for tasks where force alone is insufficient controlled grip object handling tactile adjustment and fine motor coordination.
In humanoid robotics the hand may become one of the hardest hardware layers to solve. Locomotion gets attention but real work happens when a robot has to touch hold adjus and recover without breaking the object.
Wuji Hand 2 is another sign that dexterous manipulation is becoming a serious race inside Physical AI.
The company is positioning the hand for tasks where force alone is insufficient controlled grip object handling tactile adjustment and fine motor coordination.
In humanoid robotics the hand may become one of the hardest hardware layers to solve. Locomotion gets attention but real work happens when a robot has to touch hold adjus and recover without breaking the object.
Wuji Hand 2 is another sign that dexterous manipulation is becoming a serious race inside Physical AI.
π1
π¨π Global One SI - Prompt
$HIMS/USD H2 #Indicator #Signal #Trading #GlobalOneAI Globalone.ch #Prompt #AI
$HIMX This chart is telling a very interesting story.
Not because it's up 20% today.
Because it just completed a massive multi-month base breakout.
For almost a year:
β price went nowhere
β volume dried up
β expectations disappeared
Then suddenly:
β Volume exploded
β Buyers reclaimed the 200MA
β Momentum accelerated
β Resistance near $22 gets cleared
Now the market is starting to ask:
Why HIMX?
The answer may be tied to several themes heating up simultaneously:
β’ AI devices
β’ Edge AI
β’ Display drivers
β’ AR/VR applications
β’ Semiconductor demand
Technically this is no longer a bottoming chart.
It's becoming a momentum chart.
The longer $22-$23 converts into support...
the more traders will begin looking toward the next major zone above.
Sometimes the strongest trends start from the longest periods of neglect.
$HIMX is suddenly getting very difficult to ignore.
Not because it's up 20% today.
Because it just completed a massive multi-month base breakout.
For almost a year:
β price went nowhere
β volume dried up
β expectations disappeared
Then suddenly:
β Volume exploded
β Buyers reclaimed the 200MA
β Momentum accelerated
β Resistance near $22 gets cleared
Now the market is starting to ask:
Why HIMX?
The answer may be tied to several themes heating up simultaneously:
β’ AI devices
β’ Edge AI
β’ Display drivers
β’ AR/VR applications
β’ Semiconductor demand
Technically this is no longer a bottoming chart.
It's becoming a momentum chart.
The longer $22-$23 converts into support...
the more traders will begin looking toward the next major zone above.
Sometimes the strongest trends start from the longest periods of neglect.
$HIMX is suddenly getting very difficult to ignore.
π¨π Global One SI - Prompt
$NBIS/USD H2 #Indicator #Signal #Trading #GlobalOneAI Globalone.ch #Prompt #AI
Nebius Group $NBIS finalizes plans to invest over β¬8 billion ($8.7 billion) to build a massive 240MW AI computing factory in France.
The infrastructure project transforms a former Bridgestone manufacturing plant into a liquid cooled hub.
The infrastructure project transforms a former Bridgestone manufacturing plant into a liquid cooled hub.
π¨π Global One SI - Prompt
$LITE/USD H2 #Indicator #Signal #Trading #GlobalOneAI
Lumentum $LITE accelerates a major expansion of U.S. manufacturing lines for advanced indium phosphide optical chips.
The infrastructure scaling follows a strategic $2 billion investment and major purchase commitments from Nvidia.
The infrastructure scaling follows a strategic $2 billion investment and major purchase commitments from Nvidia.