$HYLN - Why invest
1. Massive Market Pivot (AI Data Centers)
Hyliion successfully shifted from a struggling EV-truck maker to a clean-tech energy provider. It now perfectly targets the global power shortage faced by AI data centers, which desperately need independent, on-site electricity.
2. Revolutionary KARNO Technology
The KARNO generator is a massive upgrade over traditional diesel generators:
Fuel-Agnostic: Seamlessly switches between hydrogen, natural gas, biogas, and diesel with zero hardware changes.
Ultra-Low Maintenance: Built via 3D printing with only one moving part per shaft. It requires no oil, no spark plugs, and no regular service.
Efficient Architecture: Delivers direct 800V DC power, eliminating energy losses during conversion for data centers.
3. Top-Tier Validation & Military backing
This is no longer a concept stage. The technology is heavily backed and validated by:
U.S. Navy contracts for stealth, low-signature maritime drones.
ABM Industries for nationwide commercial distribution.
4. Explosive Growth Momentum
Driven by surging demand and a massive earnings beat in early 2026, the stock has shown incredible market momentum, more than tripling in price within just a few months.
1. Massive Market Pivot (AI Data Centers)
Hyliion successfully shifted from a struggling EV-truck maker to a clean-tech energy provider. It now perfectly targets the global power shortage faced by AI data centers, which desperately need independent, on-site electricity.
2. Revolutionary KARNO Technology
The KARNO generator is a massive upgrade over traditional diesel generators:
Fuel-Agnostic: Seamlessly switches between hydrogen, natural gas, biogas, and diesel with zero hardware changes.
Ultra-Low Maintenance: Built via 3D printing with only one moving part per shaft. It requires no oil, no spark plugs, and no regular service.
Efficient Architecture: Delivers direct 800V DC power, eliminating energy losses during conversion for data centers.
3. Top-Tier Validation & Military backing
This is no longer a concept stage. The technology is heavily backed and validated by:
U.S. Navy contracts for stealth, low-signature maritime drones.
ABM Industries for nationwide commercial distribution.
4. Explosive Growth Momentum
Driven by surging demand and a massive earnings beat in early 2026, the stock has shown incredible market momentum, more than tripling in price within just a few months.
🇨🇭 Global One SI - Prompt
$LASE - Did you listen?
$LASE continues to strengthen its position in both the industrial and defense sectors through a combination of high-profile customer relationships and recent government recognition.
The company has highlighted work with globally recognized organizations and industry leaders, including Coca-Cola, General Electric (GE), Harley-Davidson, NASA, Eaton, Boeing, Lockheed Martin, and Honeywell.
These relationships span aerospace, defense, manufacturing, infrastructure, and industrial markets, providing strong validation for Laser Photonics' technology and demonstrating its ability to serve demanding customers across multiple industries.
A major recent development came on June 2, 2026, when Laser Photonics announced that its Laser Shield Anti-Drone (LSAD) system had been selected by the U.S. Department of War under the Mission Engineering and Integration Activity (MEIA) Vulcan Call for Solutions program. The LSAD system was recognized as one of the top submissions in the Counter C5ISR-T category following a rigorous evaluation by government mission engineering and technical teams. As a result, the company was invited to participate in an exclusive technical exchange with government engineers, further validating the effectiveness and potential of its counter-drone technology.
This achievement represents an important milestone for Laser Photonics as it expands beyond its established industrial laser solutions into the rapidly growing defense and national security market. The recognition from a U.S. government program highlights the increasing relevance of directed-energy and counter-drone technologies, areas that are expected to see significant investment in the coming years. While this selection is not yet a major procurement contract, it can serve as a gateway to future testing programs, pilot deployments, and potential government purchasing opportunities.
For investors, the combination of blue-chip customers, expanding defense capabilities, and growing government interest in the company's Laser Shield Anti-Drone platform positions Laser Photonics as an emerging player in both advanced manufacturing and next-generation defense technologies. The company's ability to secure recognition from government agencies while maintaining relationships with some of the world's most respected industrial and aerospace organizations could significantly enhance its visibility and long-term growth prospects.
The company has highlighted work with globally recognized organizations and industry leaders, including Coca-Cola, General Electric (GE), Harley-Davidson, NASA, Eaton, Boeing, Lockheed Martin, and Honeywell.
These relationships span aerospace, defense, manufacturing, infrastructure, and industrial markets, providing strong validation for Laser Photonics' technology and demonstrating its ability to serve demanding customers across multiple industries.
A major recent development came on June 2, 2026, when Laser Photonics announced that its Laser Shield Anti-Drone (LSAD) system had been selected by the U.S. Department of War under the Mission Engineering and Integration Activity (MEIA) Vulcan Call for Solutions program. The LSAD system was recognized as one of the top submissions in the Counter C5ISR-T category following a rigorous evaluation by government mission engineering and technical teams. As a result, the company was invited to participate in an exclusive technical exchange with government engineers, further validating the effectiveness and potential of its counter-drone technology.
This achievement represents an important milestone for Laser Photonics as it expands beyond its established industrial laser solutions into the rapidly growing defense and national security market. The recognition from a U.S. government program highlights the increasing relevance of directed-energy and counter-drone technologies, areas that are expected to see significant investment in the coming years. While this selection is not yet a major procurement contract, it can serve as a gateway to future testing programs, pilot deployments, and potential government purchasing opportunities.
For investors, the combination of blue-chip customers, expanding defense capabilities, and growing government interest in the company's Laser Shield Anti-Drone platform positions Laser Photonics as an emerging player in both advanced manufacturing and next-generation defense technologies. The company's ability to secure recognition from government agencies while maintaining relationships with some of the world's most respected industrial and aerospace organizations could significantly enhance its visibility and long-term growth prospects.
👀1
🇨🇭 Global One SI - Prompt
$BB Everyone loved BlackBerry at $10. Suddenly they’re worried at $9. Nothing has changed in my thesis. QNX is quietly becoming part of the infrastructure layer powering AI in the physical world. Cars. Robotics. Industrial automation. Healthcare. Aerospace.…
The Quiet Expansion of QNX: How BlackBerry Is Building the Operating System for the Physical AI Economy
Most investors still think of QNX ( $BB ) as an automotive story.
That perception is understandable. For years, QNX's real-time operating system (RTOS) has been one of the hidden foundations of modern vehicles, powering infotainment systems, digital cockpits, advanced driver assistance systems (ADAS), and other safety-critical functions. Today, QNX software is deployed in hundreds of millions of vehicles worldwide and is used by many of the world's largest automakers.
Yet a closer examination of QNX's recent job postings reveals something much bigger taking shape.
Taken together, the hiring activity suggests that QNX is quietly repositioning itself from an automotive software company into a foundational platform for what it increasingly describes as "physical AI"—the emerging world of intelligent machines operating in the real world.
This is not a flashy consumer-facing strategy. There are no viral chatbots or consumer gadgets involved. Instead, QNX appears to be methodically expanding into industries where software failures can have real-world consequences: robotics, industrial automation, medical devices, aerospace, rail, commercial transportation, and defense.
The result is a picture of a company attempting to build a decades-long moat around some of the most demanding computing environments on Earth.
Beyond Automotive: The Great Diversification
One of the most striking themes in the job postings is how often non-automotive markets appear.
Recent openings include:
- Senior Technical Product Manager (Industrial Automation & Robotics)
- Field Application Engineers supporting industrial automation, robotics, and medical devices
- Senior Product & Industry Marketing Manager (Robotics & Embedded Systems)
- Cybersecurity leadership roles spanning multiple regulated industries
These positions indicate that QNX is actively pursuing markets beyond its traditional automotive stronghold.
This is significant because many of these industries face a similar challenge: integrating increasingly sophisticated AI and automation systems into environments where reliability and safety are paramount.
Factories deploying autonomous robots.
Hospitals using intelligent medical equipment.
Rail networks relying on real-time signaling systems.
Defense and aerospace platforms requiring deterministic performance.
These are not markets where software crashes can simply be tolerated.
They are precisely the types of environments where QNX's deterministic microkernel architecture and safety certifications provide a meaningful advantage.
The Rise of Physical AI
Perhaps the most revealing language appears in QNX's own descriptions of its mission.
Rather than describing itself solely as an automotive software company, QNX increasingly refers to providing the trusted foundation for "software-defined systems" and "physical AI systems."
That phrase deserves attention.
The AI industry has spent the last several years focused primarily on digital intelligence: chatbots, search engines, content generation, and virtual assistants.
The next phase may involve AI moving into the physical world.
Robots.
Industrial machines.
Autonomous systems.
Medical devices.
Transportation infrastructure.
In these environments, intelligence alone is insufficient.
A robot must move safely.
A train must stop predictably.
A medical device must operate reliably.
An autonomous machine must respond within precise timing constraints.
The challenge shifts from generating text to controlling matter.
That transition greatly increases the importance of deterministic operating systems.
QNX appears to be positioning itself as one of the software foundations upon which physical AI systems will be built.
Building the Layer Beneath NVIDIA
One of the most overlooked clues appears in a Senior Technical Product Manager posting.
Most investors still think of QNX ( $BB ) as an automotive story.
That perception is understandable. For years, QNX's real-time operating system (RTOS) has been one of the hidden foundations of modern vehicles, powering infotainment systems, digital cockpits, advanced driver assistance systems (ADAS), and other safety-critical functions. Today, QNX software is deployed in hundreds of millions of vehicles worldwide and is used by many of the world's largest automakers.
Yet a closer examination of QNX's recent job postings reveals something much bigger taking shape.
Taken together, the hiring activity suggests that QNX is quietly repositioning itself from an automotive software company into a foundational platform for what it increasingly describes as "physical AI"—the emerging world of intelligent machines operating in the real world.
This is not a flashy consumer-facing strategy. There are no viral chatbots or consumer gadgets involved. Instead, QNX appears to be methodically expanding into industries where software failures can have real-world consequences: robotics, industrial automation, medical devices, aerospace, rail, commercial transportation, and defense.
The result is a picture of a company attempting to build a decades-long moat around some of the most demanding computing environments on Earth.
Beyond Automotive: The Great Diversification
One of the most striking themes in the job postings is how often non-automotive markets appear.
Recent openings include:
- Senior Technical Product Manager (Industrial Automation & Robotics)
- Field Application Engineers supporting industrial automation, robotics, and medical devices
- Senior Product & Industry Marketing Manager (Robotics & Embedded Systems)
- Cybersecurity leadership roles spanning multiple regulated industries
These positions indicate that QNX is actively pursuing markets beyond its traditional automotive stronghold.
This is significant because many of these industries face a similar challenge: integrating increasingly sophisticated AI and automation systems into environments where reliability and safety are paramount.
Factories deploying autonomous robots.
Hospitals using intelligent medical equipment.
Rail networks relying on real-time signaling systems.
Defense and aerospace platforms requiring deterministic performance.
These are not markets where software crashes can simply be tolerated.
They are precisely the types of environments where QNX's deterministic microkernel architecture and safety certifications provide a meaningful advantage.
The Rise of Physical AI
Perhaps the most revealing language appears in QNX's own descriptions of its mission.
Rather than describing itself solely as an automotive software company, QNX increasingly refers to providing the trusted foundation for "software-defined systems" and "physical AI systems."
That phrase deserves attention.
The AI industry has spent the last several years focused primarily on digital intelligence: chatbots, search engines, content generation, and virtual assistants.
The next phase may involve AI moving into the physical world.
Robots.
Industrial machines.
Autonomous systems.
Medical devices.
Transportation infrastructure.
In these environments, intelligence alone is insufficient.
A robot must move safely.
A train must stop predictably.
A medical device must operate reliably.
An autonomous machine must respond within precise timing constraints.
The challenge shifts from generating text to controlling matter.
That transition greatly increases the importance of deterministic operating systems.
QNX appears to be positioning itself as one of the software foundations upon which physical AI systems will be built.
Building the Layer Beneath NVIDIA
One of the most overlooked clues appears in a Senior Technical Product Manager posting.
👀1
‼️The AI data center buildout is generating more headlines than capacity:
More than 60% of US data center capacity planned for completion in 2027 IS NOT YET under construction, and another 7% is already delayed, according to a JPMorgan analysis.
Of the ~35 gigawatts of data center capacity with unknown completion dates, only a fraction is actually under construction, with the vast majority remaining at the announcement stage.
This comes as supply chain backlogs, permitting fights, power grid connection delays, and shortages of gas turbines and electrical transformers are all contributing to a widening gap between announced ambitions and actual progress.
Microsoft, Alphabet, Meta, and Amazon collectively spent $410 billion on capital expenditure last year and are expected to spend more than $670 billion in 2026, yet the physical infrastructure to support this spending is falling significantly behind schedule.
Alphabet highlighted the scale of this challenge by raising $80 billion in new equity this week, its largest ever capital raise, prompting its stock to fall as investors questioned the true extent of AI capital spending needs.
Investors are beginning to question whether the AI capital spending cycle can deliver returns fast enough to justify the cost.
More than 60% of US data center capacity planned for completion in 2027 IS NOT YET under construction, and another 7% is already delayed, according to a JPMorgan analysis.
Of the ~35 gigawatts of data center capacity with unknown completion dates, only a fraction is actually under construction, with the vast majority remaining at the announcement stage.
This comes as supply chain backlogs, permitting fights, power grid connection delays, and shortages of gas turbines and electrical transformers are all contributing to a widening gap between announced ambitions and actual progress.
Microsoft, Alphabet, Meta, and Amazon collectively spent $410 billion on capital expenditure last year and are expected to spend more than $670 billion in 2026, yet the physical infrastructure to support this spending is falling significantly behind schedule.
Alphabet highlighted the scale of this challenge by raising $80 billion in new equity this week, its largest ever capital raise, prompting its stock to fall as investors questioned the true extent of AI capital spending needs.
Investors are beginning to question whether the AI capital spending cycle can deliver returns fast enough to justify the cost.
🚨The US Dollar remains the world's dominant currency:
Banks outside the US are holding a record ~$14.5 trillion in US Dollar deposits and loans, according to BIS data.
This figure has risen by over +$4 trillion since 2010.
By comparison, banks outside the Eurozone hold just ~$3.5 trillion in Euro-denominated assets, less than 25% of the Dollar equivalent, while the British Pound and Japanese Yen remain negligible at well under $1 trillion each.
This means the global financial system runs on US Dollars far beyond America's own borders, with banks worldwide borrowing, lending, and conducting business in Dollars that never pass through the United States.
The diversification from the Dollar is real, but a complete collapse is far away.
Banks outside the US are holding a record ~$14.5 trillion in US Dollar deposits and loans, according to BIS data.
This figure has risen by over +$4 trillion since 2010.
By comparison, banks outside the Eurozone hold just ~$3.5 trillion in Euro-denominated assets, less than 25% of the Dollar equivalent, while the British Pound and Japanese Yen remain negligible at well under $1 trillion each.
This means the global financial system runs on US Dollars far beyond America's own borders, with banks worldwide borrowing, lending, and conducting business in Dollars that never pass through the United States.
The diversification from the Dollar is real, but a complete collapse is far away.
This media is not supported in your browser
VIEW IN TELEGRAM
Bill Gates just said "AI is the biggest technical thing ever in my lifetime and its influence is hard to overstate"
And this is a man who built Microsoft, watched the internet change everything and has seen every major tech wave of the last 50 years
But then he said something most people completely missed
Yes there will be an AI bubble, yes many companies will burn billions on the wrong data centers and the wrong chips
But the difference between this and the dot-com crash is that when the dust settles something genuinely profound will remain
And the part nobody wanted to hear - he said flat out that the job market will be hit and anyone saying otherwise is simply not telling the truth.
And this is a man who built Microsoft, watched the internet change everything and has seen every major tech wave of the last 50 years
But then he said something most people completely missed
Yes there will be an AI bubble, yes many companies will burn billions on the wrong data centers and the wrong chips
But the difference between this and the dot-com crash is that when the dust settles something genuinely profound will remain
And the part nobody wanted to hear - he said flat out that the job market will be hit and anyone saying otherwise is simply not telling the truth.
👌1🐳1
🇨🇭 Global One SI - Prompt
Photo
$SPCX - For those wondering what SpaceX will trade for week and what valuation will be.
SpaceX is currently valued at $2.25T and trading at $173 which is a 28% premium based on the $135 IPO price set on hyperliquid.
SpaceX is currently valued at $2.25T and trading at $173 which is a 28% premium based on the $135 IPO price set on hyperliquid.
👀1
🇨🇭 Global One SI - Prompt
Bill Gates just said "AI is the biggest technical thing ever in my lifetime and its influence is hard to overstate" And this is a man who built Microsoft, watched the internet change everything and has seen every major tech wave of the last 50 years But…
This is insane.
Anthropic engineers are shipping 8X MORE code than pre-AI.
This is exactly why Claude is improving rapidly with constant updates.
Anyone who says AI can't make you more productive is just flat out wrong...
Anthropic engineers are shipping 8X MORE code than pre-AI.
This is exactly why Claude is improving rapidly with constant updates.
Anyone who says AI can't make you more productive is just flat out wrong...
SK hynix and NVIDIA just formed a multi-year memory partnership to build the chips behind the next wave of AI factories.
So SK hynix is being pulled deeper into AI servers, personal AI, and physical AI.
SK hynix will codevelop memory for NVIDIA Vera Rubin AI supercomputers, Vera CPUs, RTX Spark-powered PCs and Jetson Thor platforms, and will use NVIDIA CUDA-X, PhysicsNeMo, Omniverse, OpenUSD and cuOpt to accelerate chip design, semiconductor simulations and autonomous fab digital twins.
Memory can no longer be designed after the GPU is finished, because advanced DRAM and high-bandwidth memory need years of co-design, fabrication planning, and capital spending.
The partnership also moves AI into chipmaking itself, using CUDA-X, PhysicsNeMo, and simulation tools to speed semiconductor physics, lithography, and internal engineering code.
SK hynix also plans fab digital twins, which are software copies of factories where robots, tools, wafers, and logistics can be tested before changes hit the real production line.
It reinforces SK Hynix's position as a key supplier in the AI hardware supply chai
So SK hynix is being pulled deeper into AI servers, personal AI, and physical AI.
SK hynix will codevelop memory for NVIDIA Vera Rubin AI supercomputers, Vera CPUs, RTX Spark-powered PCs and Jetson Thor platforms, and will use NVIDIA CUDA-X, PhysicsNeMo, Omniverse, OpenUSD and cuOpt to accelerate chip design, semiconductor simulations and autonomous fab digital twins.
Memory can no longer be designed after the GPU is finished, because advanced DRAM and high-bandwidth memory need years of co-design, fabrication planning, and capital spending.
The partnership also moves AI into chipmaking itself, using CUDA-X, PhysicsNeMo, and simulation tools to speed semiconductor physics, lithography, and internal engineering code.
SK hynix also plans fab digital twins, which are software copies of factories where robots, tools, wafers, and logistics can be tested before changes hit the real production line.
It reinforces SK Hynix's position as a key supplier in the AI hardware supply chai
🇨🇭 Global One SI - Prompt
AmpliTech Group $AMPG and its connection with space: AmpliTech Group $AMPG provides numerous hardware products for LEO (Low Earth Orbit) satellites: - Low-Noise Amplifiers (LNAs): This is the flagship product of $AMPG as they have the best of the industry.…
Orbital AI Compute: Shifting the Energy and Latency Game for Frontier Models
Orbital compute for frontier AI decouples scaling from terrestrial grid constraints and evaporative cooling by exploiting continuous orbital solar power and vacuum radiative heat rejection.
In sun-synchronous low Earth orbit, nodes receive uninterrupted 1366 W/m² solar irradiance, delivering roughly eight times the effective energy density of ground arrays when averaged over day-night and weather cycles.
Waste heat radiates into 2.7 K space through deployable high-emissivity panels with no water or mechanical chiller overhead.
Laser inter-satellite links create a mesh fabric where coordination latency between nodes is governed by light-speed propagation rather than terrestrial fiber routes.
The critical variable overlooked in most analyses is radiator mass. At practical electronics temperatures, thermal rejection density is limited to hundreds of watts per square meter, requiring thousands of square meters of surface area for megawatt-scale clusters.
This thermal hardware can dominate launch mass, shifting the cost equation from electricity contracts to kilograms lifted and radiator specific power.
Gigawatt-class AI training therefore proceeds without new regional power plants, transmission corridors, or freshwater withdrawals.
Inference traffic routes across the orbital layer with round-trip times determined by LEO altitude and laser mesh geometry, competitive for many global workloads.
The integrated architecture moves the binding limit on artificial intelligence progress from the build rate of Earth energy infrastructure to the launch cadence and thermal rejection efficiency achievable in orbit.
Multi-planetary civilization compute capacity becomes a function of orbital deployment velocity rather than terrestrial utility expansion.
Orbital compute for frontier AI decouples scaling from terrestrial grid constraints and evaporative cooling by exploiting continuous orbital solar power and vacuum radiative heat rejection.
In sun-synchronous low Earth orbit, nodes receive uninterrupted 1366 W/m² solar irradiance, delivering roughly eight times the effective energy density of ground arrays when averaged over day-night and weather cycles.
Waste heat radiates into 2.7 K space through deployable high-emissivity panels with no water or mechanical chiller overhead.
Laser inter-satellite links create a mesh fabric where coordination latency between nodes is governed by light-speed propagation rather than terrestrial fiber routes.
The critical variable overlooked in most analyses is radiator mass. At practical electronics temperatures, thermal rejection density is limited to hundreds of watts per square meter, requiring thousands of square meters of surface area for megawatt-scale clusters.
This thermal hardware can dominate launch mass, shifting the cost equation from electricity contracts to kilograms lifted and radiator specific power.
Gigawatt-class AI training therefore proceeds without new regional power plants, transmission corridors, or freshwater withdrawals.
Inference traffic routes across the orbital layer with round-trip times determined by LEO altitude and laser mesh geometry, competitive for many global workloads.
The integrated architecture moves the binding limit on artificial intelligence progress from the build rate of Earth energy infrastructure to the launch cadence and thermal rejection efficiency achievable in orbit.
Multi-planetary civilization compute capacity becomes a function of orbital deployment velocity rather than terrestrial utility expansion.
🇨🇭 Global One SI - Prompt
LG Transforms Car Windshields Into Futuristic Transparent OLED Displays
This media is not supported in your browser
VIEW IN TELEGRAM
🚨 🇰🇷 Jensen Huang hints at deeper NVIDIA-LG collaboration in robotics and AI data centers
NVIDIA CEO Jensen Huang visited LG Twin Towers on June 8 and emphasized the company’s growing partnership with LG after meeting with LG Chairman Koo Kwang-mo and other executives.
Huang said LG is a world-class company across many important future technologies and noted that NVIDIA and LG are working together on many areas.
He highlighted robotics as one of the most important fields, describing it as the fusion of electronics, mechanical systems, and artificial intelligence. He said NVIDIA is working with LG on motor technology and mechanical systems, which could support future humanoid robotics.
Huang also pointed to next-generation data centers, saying future facilities will scale to gigawatt levels and require advanced cooling, power, and infrastructure technologies.
He added that there will be “many more announcements” in the near future, suggesting NVIDIA and LG’s cooperation in AI, robotics, and data centers could become more concrete soon.
NVIDIA CEO Jensen Huang visited LG Twin Towers on June 8 and emphasized the company’s growing partnership with LG after meeting with LG Chairman Koo Kwang-mo and other executives.
Huang said LG is a world-class company across many important future technologies and noted that NVIDIA and LG are working together on many areas.
He highlighted robotics as one of the most important fields, describing it as the fusion of electronics, mechanical systems, and artificial intelligence. He said NVIDIA is working with LG on motor technology and mechanical systems, which could support future humanoid robotics.
Huang also pointed to next-generation data centers, saying future facilities will scale to gigawatt levels and require advanced cooling, power, and infrastructure technologies.
He added that there will be “many more announcements” in the near future, suggesting NVIDIA and LG’s cooperation in AI, robotics, and data centers could become more concrete soon.
👀1
🇨🇭 Global One SI - Prompt
🚨 🇰🇷 Jensen Huang hints at deeper NVIDIA-LG collaboration in robotics and AI data centers NVIDIA CEO Jensen Huang visited LG Twin Towers on June 8 and emphasized the company’s growing partnership with LG after meeting with LG Chairman Koo Kwang-mo and other…
🚨 🇰🇷 Jensen Huang Just Put Korea at the Center of Nvidia’s AI Empire
1️⃣ SK Hynix
Strengthening next-generation HBM and AI memory collaboration.
2️⃣ SK Telecom
Building Nvidia-powered AI cloud and data center infrastructure in Korea, with the first data center targeted for 2027.
3️⃣ Naver
Potential cooperation in AI data centers, sovereign AI, and cloud platforms.
4️⃣ Doosan
Cooperation in AI data centers, energy solutions, and robotics.
5️⃣ LG
Discussions around Physical AI, robotics, autonomous driving, and vehicle electronics.
6️⃣ Samsung Electronics
Potential expansion of HBM and AI semiconductor supply-chain cooperation.
7️⃣ Hyundai Motor Group
Collaboration opportunities in humanoid robots, smart factories, and Physical AI.
In short, Nvidia appears to be positioning Korea not just as an HBM supplier, but as a key AI partner across data centers, robotics, autonomous driving, and industrial AI.
1️⃣ SK Hynix
Strengthening next-generation HBM and AI memory collaboration.
2️⃣ SK Telecom
Building Nvidia-powered AI cloud and data center infrastructure in Korea, with the first data center targeted for 2027.
3️⃣ Naver
Potential cooperation in AI data centers, sovereign AI, and cloud platforms.
4️⃣ Doosan
Cooperation in AI data centers, energy solutions, and robotics.
5️⃣ LG
Discussions around Physical AI, robotics, autonomous driving, and vehicle electronics.
6️⃣ Samsung Electronics
Potential expansion of HBM and AI semiconductor supply-chain cooperation.
7️⃣ Hyundai Motor Group
Collaboration opportunities in humanoid robots, smart factories, and Physical AI.
In short, Nvidia appears to be positioning Korea not just as an HBM supplier, but as a key AI partner across data centers, robotics, autonomous driving, and industrial AI.
🇰🇷 Korean stock market is CRASHING 📉
KOSPI is down 8.5% today! A Circuit breaker has been triggered and trading was halted, for the first time since the COVID crash in March 2020.
It's down 16% in the past 4 trading days.
Foreign investors have dumped billions of dollars’ worth of South Korean stocks this year, even as the Kospi has emerged as one of the world’s standout performers thus far, with record year-to-date gains.
On Monday, overseas investors had unloaded a net 1.24 trillion won (about $801 million) worth of Kospi-listed shares as of 11am Singapore time (11p.m. ET Sunday), according to Korea Exchange data.
KOSPI is down 8.5% today! A Circuit breaker has been triggered and trading was halted, for the first time since the COVID crash in March 2020.
It's down 16% in the past 4 trading days.
Foreign investors have dumped billions of dollars’ worth of South Korean stocks this year, even as the Kospi has emerged as one of the world’s standout performers thus far, with record year-to-date gains.
On Monday, overseas investors had unloaded a net 1.24 trillion won (about $801 million) worth of Kospi-listed shares as of 11am Singapore time (11p.m. ET Sunday), according to Korea Exchange data.
🔥1