🇨🇭 Global One SI - Prompt
I think a lot of people are still underestimating what's happening with $AMPG. The AI era is already arriving. And I don't just mean chatbots. I mean AI controlling the physical world. You don't want it to be $ERIC or $NOK. Unless you're European, obviously.…
While the entire timeline is rightfully hyper-focused on the $AMPG 5G Open RAN telecom rollout, social media is completely missing the silent, multi-billion-dollar deep-tech moat hiding right on their balance sheet: Quantum Computing Infrastructure. 🧠🔐❄️
Let's look at the facts the market hasn't priced in yet:
🧊 The Ultimate Physics Problem: To run advanced quantum computing architectures and secure next-gen AI encryption, superconducting quantum processors must operate in extreme deep-freeze environments—specifically at 4 Kelvin (-452°F), which is colder than deep space.
📡 The Sole U.S. Provider: At those near-absolute zero temperatures, standard hardware freezes and drops signals. AmpliTech spent years quietly perfecting proprietary, patented Cryogenic HEMT Low-Noise Amplifiers (LNAs) designed specifically to survive this environment and maintain perfect signal fidelity for quantum calculations. They are currently the only high-performance, U.S.-based manufacturer delivering this hardware.
🏢 The Client List Hiding in Plain Sight: They have already quietly delivered working prototype cryogenic units to two Fortune 50 companies leading the global quantum revolution, alongside elite research universities.
When the street looks at $AMPG, they see a micro-cap telecom company. When you look at the actual intellectual property and U.S. patent portfolio, you see the indispensable, specialized hardware spine that the entire future of Quantum AI and cybersecurity must physically run on. We aren't blinking. Let the engineering speak for itself. 💎🇺🇸🛰️
#QuantumComputing #ValueInvesting #SmallCaps #DeepTech #Alpha
Let's look at the facts the market hasn't priced in yet:
🧊 The Ultimate Physics Problem: To run advanced quantum computing architectures and secure next-gen AI encryption, superconducting quantum processors must operate in extreme deep-freeze environments—specifically at 4 Kelvin (-452°F), which is colder than deep space.
📡 The Sole U.S. Provider: At those near-absolute zero temperatures, standard hardware freezes and drops signals. AmpliTech spent years quietly perfecting proprietary, patented Cryogenic HEMT Low-Noise Amplifiers (LNAs) designed specifically to survive this environment and maintain perfect signal fidelity for quantum calculations. They are currently the only high-performance, U.S.-based manufacturer delivering this hardware.
🏢 The Client List Hiding in Plain Sight: They have already quietly delivered working prototype cryogenic units to two Fortune 50 companies leading the global quantum revolution, alongside elite research universities.
When the street looks at $AMPG, they see a micro-cap telecom company. When you look at the actual intellectual property and U.S. patent portfolio, you see the indispensable, specialized hardware spine that the entire future of Quantum AI and cybersecurity must physically run on. We aren't blinking. Let the engineering speak for itself. 💎🇺🇸🛰️
#QuantumComputing #ValueInvesting #SmallCaps #DeepTech #Alpha
🇨🇭 Global One SI - Prompt
Every time you watch a massive heavy-lift rocket punch through the atmosphere, remember this: launching the payload is only 10% of the battle. The real challenge is maintaining a flawless data link with that asset once it hits orbit. 🚀🛰️🌌 Here is why $AMPG…
When people hear about AmpliTech's proprietary 4-Kelvin Cryogenic LNAs, they immediately think of quantum computing refrigerators.
Here is the part the market misses: Quantum didn't invent the need for cryogenic amplification—deep space exploration did. 🛰️❄️🌌
To capture incredibly faint data signals travelling millions of miles from Mars rovers, deep space probes, or modern low-Earth orbit (LEO) satellite constellations, ground station dishes encounter a brutal law of physics: thermal noise. Standard amplifiers get too hot, drowning out the faint data beam.
By running AmpliTech's cryogenically cooled hardware down to near-absolute zero, global satellite tracking networks drop internal thermal noise to virtually zero.
Whether it’s shielding qubits inside an advanced quantum computing facility or cleanly downloading high-frequency telemetry from an orbital satellite grid, the physical bottleneck remains exactly the same. AmpliTech owns the master key to both of these multi-billion-dollar secular tailwinds. The ultimate deep-tech moat. 💎🇺🇸☕
#SpaceTech #QuantumAI #Satcom #ValueInvesting #FinTwit
Here is the part the market misses: Quantum didn't invent the need for cryogenic amplification—deep space exploration did. 🛰️❄️🌌
To capture incredibly faint data signals travelling millions of miles from Mars rovers, deep space probes, or modern low-Earth orbit (LEO) satellite constellations, ground station dishes encounter a brutal law of physics: thermal noise. Standard amplifiers get too hot, drowning out the faint data beam.
By running AmpliTech's cryogenically cooled hardware down to near-absolute zero, global satellite tracking networks drop internal thermal noise to virtually zero.
Whether it’s shielding qubits inside an advanced quantum computing facility or cleanly downloading high-frequency telemetry from an orbital satellite grid, the physical bottleneck remains exactly the same. AmpliTech owns the master key to both of these multi-billion-dollar secular tailwinds. The ultimate deep-tech moat. 💎🇺🇸☕
#SpaceTech #QuantumAI #Satcom #ValueInvesting #FinTwit
🇨🇭 Global One SI - Prompt
Private markets are still pouring capital into robotics. Simultaneously, many of China’s leading robotics companies are lining up for IPOs. This is not exhaustive. These are major and recent IPO signals; many more, especially in the supporting stack, are…
Engineering is freakin mesmerizing in every way and form
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Engineering is real magic
For rockets, what’s better:
more engines or bigger engines?
#SaturnV
#NewGlenn
#Starship
1. Smaller engines = better use of rocket base.
2. Easier and cheaper to 3D print at scale.
3. More engines = higher redundancy and safety.
4. Easier thrust control for precise landings.
33 Raptors fit Starship’s design perfectly.
more engines or bigger engines?
#SaturnV
#NewGlenn
#Starship
1. Smaller engines = better use of rocket base.
2. Easier and cheaper to 3D print at scale.
3. More engines = higher redundancy and safety.
4. Easier thrust control for precise landings.
33 Raptors fit Starship’s design perfectly.
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SpaceX is now worth $2 trillion.
$ELVN Sometimes the biggest moves start when a chart stops asking for permission.
Multi-month consolidation.
Higher lows.
Breakout.
Volume expansion.
Strong relative strength.
Now price is beginning to separate itself from the base.
This looks like the start of a new trend, not the end of one.
Definitely on my radar.
Multi-month consolidation.
Higher lows.
Breakout.
Volume expansion.
Strong relative strength.
Now price is beginning to separate itself from the base.
This looks like the start of a new trend, not the end of one.
Definitely on my radar.
🇨🇭 Global One SI - Prompt
The real frenzy starts once the most hyped companies go public. Space: SpaceXai Defense: Anduril Al: OpenAl, Anthropic Robotics: Figure Al, Apptronik Fintech: Stripe, Revolut Crypto: Kraken, Ripple, Prediction Markets: Polymarket, Kalshi Chips: Groq, Cerebras…
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When pushed, we'll do what it takes to win. #Anduril
🇨🇭 Global One SI - Prompt
The robotics race is not one lane. ‣Robotiq handles the grip ‣OTTO moves the load ‣Boston Dynamics pushes mobility ‣OnRobot builds the end effectors ‣Tesla brings humanoids into the debate ‣Symbotic attacks warehouse automation Different robots. Same pressure…
Humanoid robotics funding + deals are accelerating fast.
Tracked cumulative value of selected public rounds + major deals:
2017 $0
2018 $820M
2019 $820M
2020 $840M
2021 $1.72B
2022 $1.93B
2023 $2.15B
2024 $2.93B
2025 ≥$4.56B
2026 up to $7.38B
Not total market funding.
#HumanoidRobots #Robotics #PhysicalAI #AI #Automation
Tracked cumulative value of selected public rounds + major deals:
2017 $0
2018 $820M
2019 $820M
2020 $840M
2021 $1.72B
2022 $1.93B
2023 $2.15B
2024 $2.93B
2025 ≥$4.56B
2026 up to $7.38B
Not total market funding.
#HumanoidRobots #Robotics #PhysicalAI #AI #Automation
🇨🇭 Global One SI - Prompt
🛣️ Local AI → This week at Computex in Taiwan, a new competitor was revealed on the PC home inferencing landscape 💻 Localmaxxing is becoming the new laptop war. ⚔️ Check out the prebuilt AI PC options 👇 🔥 AMD Strix Halo (now) Strix Halo is here. Up to…
AMD Ryzen AI Halo. The ultimate local AI developer platform.
Pre-order now: bit.ly/4xv5PJS
⚡ Up to 128GB unified memory
⚡ Support for models up to 200B parameters
⚡ Windows & Linux support
⚡ Ready-to-run AI workflows out of the box
Build, prototype, and deploy locally without cloud constraints.
Pre-order now: bit.ly/4xv5PJS
⚡ Up to 128GB unified memory
⚡ Support for models up to 200B parameters
⚡ Windows & Linux support
⚡ Ready-to-run AI workflows out of the box
Build, prototype, and deploy locally without cloud constraints.
🇨🇭 Global One SI - Prompt
POV: That friend who always says 'I don't have money' but magically finds funds to buy the dip
Bought the dip $VOYG and $BKSY.
🇨🇭 Global One SI - Prompt
I think a lot of people are still underestimating what's happening with $AMPG. The AI era is already arriving. And I don't just mean chatbots. I mean AI controlling the physical world. You don't want it to be $ERIC or $NOK. Unless you're European, obviously.…
$AMPG is like $NOK.
But made in USA. 🇺🇸
Also works with $NVDA, with government financing.
Department of Defense.
It's a priority.
Open6G.
Still sub $1B.
But made in USA. 🇺🇸
Also works with $NVDA, with government financing.
Department of Defense.
It's a priority.
Open6G.
Still sub $1B.
Anthropic is reportedly moving from renting cloud compute to leasing and managing data centers itself, with more than 1GW of planned U.S. capacity and Google potentially backing the lease payments.
The old model is simple: Anthropic pays cloud providers for GPUs or custom chips, but the cloud company controls the building, power, networking, cooling, and much of the hardware schedule.
The new model puts Anthropic closer to the factory floor of AI, where data centers are not office buildings but power-heavy machine rooms built to feed training and inference systems around the clock.
To give context of its current situation, until now, Anthropic’s compute strategy has mostly run through cloud providers, with over 10GW of server rentals committed, including a $200 billion Google agreement.
The company has also locked in large cloud deals with Akamai, AWS, CoreWeave, and Fluidstack, covering Amazon’s Trainium hardware and a $50 billion Fluidstack partnership.
It has also expanded its data center team and signed a SpaceX/xAI lease for the whole Colossus 1 data center at $1.25 billion a month, plus Colossus II space.
The old model is simple: Anthropic pays cloud providers for GPUs or custom chips, but the cloud company controls the building, power, networking, cooling, and much of the hardware schedule.
The new model puts Anthropic closer to the factory floor of AI, where data centers are not office buildings but power-heavy machine rooms built to feed training and inference systems around the clock.
To give context of its current situation, until now, Anthropic’s compute strategy has mostly run through cloud providers, with over 10GW of server rentals committed, including a $200 billion Google agreement.
The company has also locked in large cloud deals with Akamai, AWS, CoreWeave, and Fluidstack, covering Amazon’s Trainium hardware and a $50 billion Fluidstack partnership.
It has also expanded its data center team and signed a SpaceX/xAI lease for the whole Colossus 1 data center at $1.25 billion a month, plus Colossus II space.