🇨🇭 Global One SI - Prompt
$JFB Nice start today. Volume is starting to build while price remains trapped inside a tight compression pattern. What stands out: → higher lows forming → volatility contracting → sellers unable to push it lower → accumulation continuing under the surface…
$JFB
Today's pullback means very little to me.
What matters is what the chart continues to show:
→ U-bottom formation
→ higher lows
→ buyers defending the $5 area
→ volume quietly returning
→ compression nearing resolution
The market is focused on today's candle.
I'm focused on what could happen next.
Because behind this chart sits one of the more interesting pending transactions in small caps.
In February, $JFB announced a definitive agreement to combine with XTEND, an AI-powered defense technology company, in an all-stock transaction with an implied value of approximately $1.5 billion.
Following completion:
- XTEND AI Robotics
- Defense technology
- AI operating system (XOS)
- U.S. manufacturing expansion
Expected Nasdaq ticker:
$XTND
Strategic investors include:
→ Eric Trump
→ Unusual Machines ($UMAC)
→ American Ventures
→ Protego Ventures
→ Aliya Capital
→ Agostinelli Group
Meanwhile the chart continues building what looks like a large base.
Compression + catalyst.
Those combinations tend to get interesting very quickly.
Today's pullback means very little to me.
What matters is what the chart continues to show:
→ U-bottom formation
→ higher lows
→ buyers defending the $5 area
→ volume quietly returning
→ compression nearing resolution
The market is focused on today's candle.
I'm focused on what could happen next.
Because behind this chart sits one of the more interesting pending transactions in small caps.
In February, $JFB announced a definitive agreement to combine with XTEND, an AI-powered defense technology company, in an all-stock transaction with an implied value of approximately $1.5 billion.
Following completion:
- XTEND AI Robotics
- Defense technology
- AI operating system (XOS)
- U.S. manufacturing expansion
Expected Nasdaq ticker:
$XTND
Strategic investors include:
→ Eric Trump
→ Unusual Machines ($UMAC)
→ American Ventures
→ Protego Ventures
→ Aliya Capital
→ Agostinelli Group
Meanwhile the chart continues building what looks like a large base.
Compression + catalyst.
Those combinations tend to get interesting very quickly.
🇨🇭 Global One SI - Prompt
Humanoid robots may reach manufacturing before they reach your living room. The first money will come from sectors with repetitive physical work: - Automotive assembly - Electronics inspection - Pharma cleanrooms - Food packaging - Heavy industry support…
Your children are leaving on a 10-year journey.
For the next decade you live alone.
You still have to earn money cook clean stay healthy manage the house and take care of yourself.
No human help allowed.
No relatives.
No friends.
No hired workers.
You can choose only one humanoid robot:
‣ Tesla Optimus for general purpose home and factory tasks
‣ Figure AI for workplace automation and physical assistance
‣ Boston Dynamics Atlas for mobility balance and demanding movement
‣ Unitree G1 for affordable humanoid robotics and experimentation
‣ 1X NEO for home support and daily care
‣ Agility Robotics Digit for warehouse work and physical tasks
‣ Apptronik Apollo for industrial labor and productivity
‣ UBTECH Walker S1 for service tasks and personal assistance
Which humanoid robot are you trusting with your life for the next 10 years?
For the next decade you live alone.
You still have to earn money cook clean stay healthy manage the house and take care of yourself.
No human help allowed.
No relatives.
No friends.
No hired workers.
You can choose only one humanoid robot:
‣ Tesla Optimus for general purpose home and factory tasks
‣ Figure AI for workplace automation and physical assistance
‣ Boston Dynamics Atlas for mobility balance and demanding movement
‣ Unitree G1 for affordable humanoid robotics and experimentation
‣ 1X NEO for home support and daily care
‣ Agility Robotics Digit for warehouse work and physical tasks
‣ Apptronik Apollo for industrial labor and productivity
‣ UBTECH Walker S1 for service tasks and personal assistance
Which humanoid robot are you trusting with your life for the next 10 years?
🇨🇭 Global One SI - Prompt
Reminder that AmpliTech Group $AMPG is the only US-based producer of cryptogenic LNAs that can withstand temperatures of around 4 Kelvin (approx. -273 degrees Celsius). This is crucial for quantum computers, because qubits must be kept around this temperature…
AmpliTech Group $AMPG - customers and partnerships
These partnerships and customers are officially confirmed by $AMPG itself.
They have a partnership with $IBM which is spending billions on quantum R&D. $AMPG is the only US manufacturer that produces Cryptogenic LNA hardware which can withstand temperatures of ~4 Kelvin (lower than -270 degrees Celcius).
They have collaborations with Lockheed Martin $LMT and Northrop Grumman $NOC. Defense is quite hard to get into as a supplier since it involves years of passing qualification stages. $AMPG has passed that and has military-grade LNAs as a US-based producer.
They have a partnership with NASA and Viasat $VSAT, as their LNA hardware is also useful for SATCOM/satellite communications equipment.
For a company that trades at merely $135 million market cap, this is quite the impressive list of partnerships and customers.
These partnerships and customers are officially confirmed by $AMPG itself.
They have a partnership with $IBM which is spending billions on quantum R&D. $AMPG is the only US manufacturer that produces Cryptogenic LNA hardware which can withstand temperatures of ~4 Kelvin (lower than -270 degrees Celcius).
They have collaborations with Lockheed Martin $LMT and Northrop Grumman $NOC. Defense is quite hard to get into as a supplier since it involves years of passing qualification stages. $AMPG has passed that and has military-grade LNAs as a US-based producer.
They have a partnership with NASA and Viasat $VSAT, as their LNA hardware is also useful for SATCOM/satellite communications equipment.
For a company that trades at merely $135 million market cap, this is quite the impressive list of partnerships and customers.
✍1
Today the EU made American AI illegal in 27 countries.
The reason is ONE sentence Microsoft's own lawyer said under oath:
This morning in Brussels, EU Tech Chief Henna Virkkunen unveiled the Cloud and AI Development Act. It's the most aggressive anti-American tech move from Europe since GDPR.
The law forces EU public sector procurement in banking, healthcare, defense, and energy to apply mandatory non-price factors favoring software and hardware built inside the EU. Microsoft Azure can be cheaper, AWS can be faster, Google Cloud can have the better model, and EU governments MUST legally prefer European alternatives.
AWS, Microsoft, and Google currently control roughly 70% of the European cloud market. Brussels is now openly targeting greater independence from US providers in cloud, AI, and semiconductors.
The largest regulatory market-share transfer in tech history is being written into law right now.
But the real story is how this happened...
On June 10, 2025, a man almost no one outside Brussels had heard of walked into the French Senate. His name is Anton Carniaux, Director of Public and Legal Affairs at Microsoft France.
Senator Dany Wattebled asked him under oath whether he could guarantee that data belonging to French citizens, stored on Microsoft European servers, would never be transmitted to US authorities without explicit consent from the French government.
Carniaux answered honestly. He admitted he could not guarantee it, because Microsoft must comply with the US CLOUD Act regardless of where European data physically sits. One sentence of sworn testimony from Microsoft's own counsel killed every sovereign cloud defense Big Tech had spent five years building.
It became the legal foundation for the law unveiled today.
Then Trump accelerated the divorce.
January 2025 brought executive orders expanding US surveillance authorities. Vance went to Munich and attacked European democracies on stage.
The tariffs followed and so did the Pentagon's $200 million AI contract war that ended with OpenAI replacing Anthropic after Hegseth labeled it a supply chain risk. So did OpenAI's Stargate and yesterday's Trump AI Executive Order, whose Section 3 lets the White House pick which AI companies get 30-day early access to frontier models. American AI was officially declared a US government strategic asset.
Europe heard every word of it.
On May 12, Mistral CEO Arthur Mensch told the French National Assembly that Europe had 24 months to build sovereign AI infrastructure or become a permanent US VASSAL state.
And the response came fast:
April 24: Cohere acquired Germany's Aleph Alpha for $20 billion with both Germany's and Canada's digital ministers in the room at the Berlin announcement. May 30: SoftBank committed up to $87 BILLION for French nuclear-powered data centers, the largest AI infrastructure project in European history.
Yesterday: EU Parliament announced it's dropping Google for French search engine Qwant tomorrow. France ordered every government workstation off Windows and onto Linux.
Today the Cloud and AI Development Act made all of it law.
- Mistral is building a 1.4 gigawatt AI campus near Paris by 2028 with Nvidia, MGX, and Bpifrance
- SAP's EU AI Cloud, launched last November, runs on Cohere, Mistral, and SAP's own sovereign infrastructure
- McKinsey forecasts $600 billion in sovereign AI needs by 2030
None of that money is going to Silicon Valley.
The America First AI policy built a wall around the world's most regulated economy, and American companies are on the wrong side of it.
Microsoft's lawyer told the truth in a Senate hearing nobody watched. Trump turned that admission into a national security narrative while the EU turned that narrative into procurement law.
And one entire continent walked away from the American tech stack...
The reason is ONE sentence Microsoft's own lawyer said under oath:
This morning in Brussels, EU Tech Chief Henna Virkkunen unveiled the Cloud and AI Development Act. It's the most aggressive anti-American tech move from Europe since GDPR.
The law forces EU public sector procurement in banking, healthcare, defense, and energy to apply mandatory non-price factors favoring software and hardware built inside the EU. Microsoft Azure can be cheaper, AWS can be faster, Google Cloud can have the better model, and EU governments MUST legally prefer European alternatives.
AWS, Microsoft, and Google currently control roughly 70% of the European cloud market. Brussels is now openly targeting greater independence from US providers in cloud, AI, and semiconductors.
The largest regulatory market-share transfer in tech history is being written into law right now.
But the real story is how this happened...
On June 10, 2025, a man almost no one outside Brussels had heard of walked into the French Senate. His name is Anton Carniaux, Director of Public and Legal Affairs at Microsoft France.
Senator Dany Wattebled asked him under oath whether he could guarantee that data belonging to French citizens, stored on Microsoft European servers, would never be transmitted to US authorities without explicit consent from the French government.
Carniaux answered honestly. He admitted he could not guarantee it, because Microsoft must comply with the US CLOUD Act regardless of where European data physically sits. One sentence of sworn testimony from Microsoft's own counsel killed every sovereign cloud defense Big Tech had spent five years building.
It became the legal foundation for the law unveiled today.
Then Trump accelerated the divorce.
January 2025 brought executive orders expanding US surveillance authorities. Vance went to Munich and attacked European democracies on stage.
The tariffs followed and so did the Pentagon's $200 million AI contract war that ended with OpenAI replacing Anthropic after Hegseth labeled it a supply chain risk. So did OpenAI's Stargate and yesterday's Trump AI Executive Order, whose Section 3 lets the White House pick which AI companies get 30-day early access to frontier models. American AI was officially declared a US government strategic asset.
Europe heard every word of it.
On May 12, Mistral CEO Arthur Mensch told the French National Assembly that Europe had 24 months to build sovereign AI infrastructure or become a permanent US VASSAL state.
And the response came fast:
April 24: Cohere acquired Germany's Aleph Alpha for $20 billion with both Germany's and Canada's digital ministers in the room at the Berlin announcement. May 30: SoftBank committed up to $87 BILLION for French nuclear-powered data centers, the largest AI infrastructure project in European history.
Yesterday: EU Parliament announced it's dropping Google for French search engine Qwant tomorrow. France ordered every government workstation off Windows and onto Linux.
Today the Cloud and AI Development Act made all of it law.
- Mistral is building a 1.4 gigawatt AI campus near Paris by 2028 with Nvidia, MGX, and Bpifrance
- SAP's EU AI Cloud, launched last November, runs on Cohere, Mistral, and SAP's own sovereign infrastructure
- McKinsey forecasts $600 billion in sovereign AI needs by 2030
None of that money is going to Silicon Valley.
The America First AI policy built a wall around the world's most regulated economy, and American companies are on the wrong side of it.
Microsoft's lawyer told the truth in a Senate hearing nobody watched. Trump turned that admission into a national security narrative while the EU turned that narrative into procurement law.
And one entire continent walked away from the American tech stack...
✍2👏1
🇨🇭 Global One SI - Prompt
$AMPG/USD H2 #Indicator #Signal #Trading #GlobalOneAI
🇺🇸 The made-in-USA "picks & shovels" micro-cap ($115M market cap) riding three revolutions at once: $AMPG.
Amplitech sells the "ears" of three secular waves at the same time, space, quantum computing, and AI-RAN $NOK $NVDA.
The market still prices it like a niche component maker.
1/ Start with the engine, because it's already turning:
FY2025 closed at ~$25M in revenue (+163% YoY) and guidance is $50M+ for 2026.
But the number that actually matters is the margin: gross margin roared to 48% in Q1 2026 (vs 33% a year earlier).
This isn't a promise, it's execution.
2/ And it's not slideware.
The LOIs are already turning into invoices:
🟢 Shipments under the $100M LOI started in December 2025
🟢 The $40M LOI with a North American operator is already contributing revenue
🟢 Contracted backlog >$20M
Total LOI pipeline: $118M.
3/ 🛰️ THE SPACE ANGLE
20 years building the LNAs (the "ears") that grab a faint satellite signal 300 miles up without adding noise.
X / Ku / Ka bands, SATCOM, defense.
All designed and manufactured in the USA → a "safe" domestic supplier exactly when space and U.S. defense demand a homegrown supply chain.
4/ ⚛️ THE QUANTUM ANGLE (the hidden ace)
Their cryogenic pHEMT LNAs run at 4 Kelvin with noise figures below 0.1 dB.
The key to the business model: each qubit typically needs its own LNA.
If quantum computing scales toward 1,000+ qubits, demand for their amplifiers scales right alongside it.
AMPG is one of the only U.S. manufacturers of cryogenic LNAs at this level, already shipping to Fortune 50 companies, universities, and research institutions.
5/ 🤖 THE AI-RAN ANGLE (the hot one)
NVIDIA and Nokia are driving AI-RAN as the next big network investment cycle.
Where does AMPG fit?
At the hardware layer: its 64T64R Massive MIMO O-RAN radio was the core hardware in the first open-source AI-RAN prototype at Northeastern University (May 2026).
It's the only American company to have commercialized an O-RAN CAT B 64T64R radio unit.
6/ And the best part: it's already cleared to sell.
FCC (US) + ISED (Canada) approved its complete 5G solution. The expensive R&D / cash-burn phase is over; now it's commercial deployment into carriers, enterprises, hospitals, and schools.
7/ 🏦 THE BALANCE SHEET
For a micro-cap, it's solid: debt-free with ~$18.4M in cash. Maxim Group keeps a "Buy" with a $7 price target.
At a ~$110–130M market cap, the market still models it as a niche component maker, not as what it's starting to become.
8/ THE THESIS IN ONE LINE
They don't need to win the satellite race, the quantum race, or the AI-RAN race.
They just need to sell the hardware to whoever does.
Three secular waves, one "picks & shovels" supplier, made in USA. 🇺🇸
Amplitech sells the "ears" of three secular waves at the same time, space, quantum computing, and AI-RAN $NOK $NVDA.
The market still prices it like a niche component maker.
1/ Start with the engine, because it's already turning:
FY2025 closed at ~$25M in revenue (+163% YoY) and guidance is $50M+ for 2026.
But the number that actually matters is the margin: gross margin roared to 48% in Q1 2026 (vs 33% a year earlier).
This isn't a promise, it's execution.
2/ And it's not slideware.
The LOIs are already turning into invoices:
🟢 Shipments under the $100M LOI started in December 2025
🟢 The $40M LOI with a North American operator is already contributing revenue
🟢 Contracted backlog >$20M
Total LOI pipeline: $118M.
3/ 🛰️ THE SPACE ANGLE
20 years building the LNAs (the "ears") that grab a faint satellite signal 300 miles up without adding noise.
X / Ku / Ka bands, SATCOM, defense.
All designed and manufactured in the USA → a "safe" domestic supplier exactly when space and U.S. defense demand a homegrown supply chain.
4/ ⚛️ THE QUANTUM ANGLE (the hidden ace)
Their cryogenic pHEMT LNAs run at 4 Kelvin with noise figures below 0.1 dB.
The key to the business model: each qubit typically needs its own LNA.
If quantum computing scales toward 1,000+ qubits, demand for their amplifiers scales right alongside it.
AMPG is one of the only U.S. manufacturers of cryogenic LNAs at this level, already shipping to Fortune 50 companies, universities, and research institutions.
5/ 🤖 THE AI-RAN ANGLE (the hot one)
NVIDIA and Nokia are driving AI-RAN as the next big network investment cycle.
Where does AMPG fit?
At the hardware layer: its 64T64R Massive MIMO O-RAN radio was the core hardware in the first open-source AI-RAN prototype at Northeastern University (May 2026).
It's the only American company to have commercialized an O-RAN CAT B 64T64R radio unit.
6/ And the best part: it's already cleared to sell.
FCC (US) + ISED (Canada) approved its complete 5G solution. The expensive R&D / cash-burn phase is over; now it's commercial deployment into carriers, enterprises, hospitals, and schools.
7/ 🏦 THE BALANCE SHEET
For a micro-cap, it's solid: debt-free with ~$18.4M in cash. Maxim Group keeps a "Buy" with a $7 price target.
At a ~$110–130M market cap, the market still models it as a niche component maker, not as what it's starting to become.
8/ THE THESIS IN ONE LINE
They don't need to win the satellite race, the quantum race, or the AI-RAN race.
They just need to sell the hardware to whoever does.
Three secular waves, one "picks & shovels" supplier, made in USA. 🇺🇸
🇨🇭 Global One SI - Prompt
How to build insanely powerful agent finance skills with Hermes. Hermes is the best AI agent ever built. And one of its best use cases is for deep financial research. If you inject this prompt into your agent, it builds custom agentic finance skills. You'll…
Dynamic workflows are a cheat code inside Claude Code.
Use them, and your productivity will explode.
Inject this prompt into Claude Code to get started with the new dynamic workflows feature
Use them, and your productivity will explode.
Inject this prompt into Claude Code to get started with the new dynamic workflows feature
✍1
🇨🇭 Global One SI - Prompt
Dynamic workflows are a cheat code inside Claude Code. Use them, and your productivity will explode. Inject this prompt into Claude Code to get started with the new dynamic workflows feature
Hermes agent is the most powerful AI agent ever.
One of its strongest use cases is deep financial research.
Deploy agents to analyze sectors, set price alerts, monitor your portfolio, and more.
Paste this prompt into Hermes to turn it into your personal financial assistant
One of its strongest use cases is deep financial research.
Deploy agents to analyze sectors, set price alerts, monitor your portfolio, and more.
Paste this prompt into Hermes to turn it into your personal financial assistant
✍1
🇨🇭 Global One SI - Prompt
Hermes agent is the most powerful AI agent ever. One of its strongest use cases is deep financial research. Deploy agents to analyze sectors, set price alerts, monitor your portfolio, and more. Paste this prompt into Hermes to turn it into your personal…
Ultimate guide to new Claude dynamic workflows (cheatsheet)
✍1
🇨🇭 Global One SI - Prompt
$QMCO One of the more interesting under-the-radar AI infrastructure charts right now. While everyone is chasing the names that already exploded... $QMCO has quietly spent months repairing its structure. Now: - Higher lows continue forming - Price reclaimed…
$QMCO
One of the most overlooked AI infrastructure stories on the market.
Everyone talks about:
$NVDA
$SMCI
$HPE
$DELL
But AI doesn’t run on compute alone.
It needs:
→ storage
→ data management
→ information infrastructure
That’s where $QMCO operates.
Technically:
- Reclaimed 200MA
- Broke a 1-year downtrend
- Volume exploding
- OBV rising
- TTM Squeeze positive
- Momentum accelerating
The biggest moves often start when a stock transitions from:
“forgotten”
to
“discovered.”
$QMCO is beginning to look like one of those charts.
One of the most overlooked AI infrastructure stories on the market.
Everyone talks about:
$NVDA
$SMCI
$HPE
$DELL
But AI doesn’t run on compute alone.
It needs:
→ storage
→ data management
→ information infrastructure
That’s where $QMCO operates.
Technically:
- Reclaimed 200MA
- Broke a 1-year downtrend
- Volume exploding
- OBV rising
- TTM Squeeze positive
- Momentum accelerating
The biggest moves often start when a stock transitions from:
“forgotten”
to
“discovered.”
$QMCO is beginning to look like one of those charts.
💯1
Local AI hardware = capacity × bandwidth × software stack
- Capacity tells you what fits
- Bandwidth tells you how hard the box can breathe
- The software stack tells you how much of the spec sheet you can actually cash out.
Hardware by Memory Bandwidth
- Mac Studio M3 Ultra: up to 512GB @ 819 GB/s
- RTX PRO 6000 Blackwell: 96GB @ 1792 GB/s
- RTX 5090: 32GB @ 1792 GB/s
- RTX 4090: 24GB @ 1008 GB/s
- RX 7900 XTX: 24GB @ 960 GB/s
- Radeon PRO W7900: 48GB @ 864 GB/s
- AMD Radeon AI PRO R9700: 32GB @ 640 GB/s
- Intel Arc Pro B65: 32GB @ ~608 GB/s
- Tenstorrent Wormhole n300: 24GB @ 576 GB/s
- Tenstorrent Blackhole p150: 32GB @ 512 GB/s + 800G
- MacBook Pro M5 Max: 460-614 GB/s
- MacBook Pro M5 Pro: 307 GB/s
- DGX Spark: 128GB @ 273 GB/s (coherent + CUDA)
- Mac mini M4 Pro: 273 GB/s
- Ryzen AI Max / Strix Halo: ~256 GB/s (~96GB usable GPU)
- MacBook Air M5: 153 GB/s
- Snapdragon X2 Elite: 152-228 GB/s
- Intel Lunar Lake: 136 GB/s
- Snapdragon X Elite: 135 GB/s
- Mac mini M4: 120 GB/s
- Arc Pro B60: 24GB @ ~456 GB/s
Verdict
- GPUs are still the bandwidth kings
- Apple wins: stupid amounts of memory, don’t want to shard across GPUs
- Apple loses: when raw tokens/sec & concurrency matter more
- DGX Spark: coherent memory + NVIDIA stack
- Strix Halo / Ryzen AI Max: first real x86 unified-memory contender
- Tenstorrent: fully OSS stack, excited to see this mature
Fitting ≠ serving
Even if it fits, you still pay for
- bandwidth during decode
- KV cache growth
- dequantization
- batching + concurrency
- scheduler quality
- framework overhead
The only mental model that matters:
1. What must fit?
2. What bandwidth tier do I need?
3. What software stack can actually deliver it?
In short:
- NVIDIA → fastest raw speed
- Apple Studio M3 Ultra → biggest one-box memory
- Strix Halo → first real x86 unified
- DGX Spark → coherent NVIDIA dev appliance
- AMD / Intel Arc → rising alternatives
- Tenstorrent → fully opensource stack
Do ask: “which bottleneck am I buying?”
Not: “which hardware is best?”
- Capacity tells you what fits
- Bandwidth tells you how hard the box can breathe
- The software stack tells you how much of the spec sheet you can actually cash out.
Hardware by Memory Bandwidth
- Mac Studio M3 Ultra: up to 512GB @ 819 GB/s
- RTX PRO 6000 Blackwell: 96GB @ 1792 GB/s
- RTX 5090: 32GB @ 1792 GB/s
- RTX 4090: 24GB @ 1008 GB/s
- RX 7900 XTX: 24GB @ 960 GB/s
- Radeon PRO W7900: 48GB @ 864 GB/s
- AMD Radeon AI PRO R9700: 32GB @ 640 GB/s
- Intel Arc Pro B65: 32GB @ ~608 GB/s
- Tenstorrent Wormhole n300: 24GB @ 576 GB/s
- Tenstorrent Blackhole p150: 32GB @ 512 GB/s + 800G
- MacBook Pro M5 Max: 460-614 GB/s
- MacBook Pro M5 Pro: 307 GB/s
- DGX Spark: 128GB @ 273 GB/s (coherent + CUDA)
- Mac mini M4 Pro: 273 GB/s
- Ryzen AI Max / Strix Halo: ~256 GB/s (~96GB usable GPU)
- MacBook Air M5: 153 GB/s
- Snapdragon X2 Elite: 152-228 GB/s
- Intel Lunar Lake: 136 GB/s
- Snapdragon X Elite: 135 GB/s
- Mac mini M4: 120 GB/s
- Arc Pro B60: 24GB @ ~456 GB/s
Verdict
- GPUs are still the bandwidth kings
- Apple wins: stupid amounts of memory, don’t want to shard across GPUs
- Apple loses: when raw tokens/sec & concurrency matter more
- DGX Spark: coherent memory + NVIDIA stack
- Strix Halo / Ryzen AI Max: first real x86 unified-memory contender
- Tenstorrent: fully OSS stack, excited to see this mature
Fitting ≠ serving
Even if it fits, you still pay for
- bandwidth during decode
- KV cache growth
- dequantization
- batching + concurrency
- scheduler quality
- framework overhead
The only mental model that matters:
1. What must fit?
2. What bandwidth tier do I need?
3. What software stack can actually deliver it?
In short:
- NVIDIA → fastest raw speed
- Apple Studio M3 Ultra → biggest one-box memory
- Strix Halo → first real x86 unified
- DGX Spark → coherent NVIDIA dev appliance
- AMD / Intel Arc → rising alternatives
- Tenstorrent → fully opensource stack
Do ask: “which bottleneck am I buying?”
Not: “which hardware is best?”
✍1
$SUGP Watching this one closely into the open.
🔹 Float under 500K shares
🔹 Borrow fee 132.76%
🔹 7000 shares available to short at huge fees
🔹 Volume expansion pre-market
Recent developments:
✅ Revenue grew 5.6% YoY in FY2025
✅ Secured multiple government & infrastructure projects in Hong Kong
✅ Continued adoption of AI-assisted security screening technology across transportation and cargo screening applications
With a razor-thin float, improving business execution and exposure to AI-enabled security technology, $SUGP is a name on my radar today.
🔹 Float under 500K shares
🔹 Borrow fee 132.76%
🔹 7000 shares available to short at huge fees
🔹 Volume expansion pre-market
Recent developments:
✅ Revenue grew 5.6% YoY in FY2025
✅ Secured multiple government & infrastructure projects in Hong Kong
✅ Continued adoption of AI-assisted security screening technology across transportation and cargo screening applications
With a razor-thin float, improving business execution and exposure to AI-enabled security technology, $SUGP is a name on my radar today.