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NVIDIA is creating two completely different futures In one they put AI infrastructure on your property In the other they put it on your own desk ///// OPTION 1 A box worth more than most houses gets installed outside You provide the location, power and connectivity In return, you... get perks like cheaper electricity, backup power and upgraded internet while AI workloads run around the clock You're not buying the hardware You're hosting it ///// OPTION 2 You spend a few thousand dollars on a DGX Spark Small enough to sit beside your monitor Powerful enough to run serious AI models locally No cloud bill No rented GPUs No sending sensitive data somewhere else The interesting part isn't the hardware It's the shift that's happening For years, AI belonged to giant tech companies and massive data centers Now NVIDIA is pushing a world where regular people can either host the infrastructure or own a piece of it themselvesshow more

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10,019 просмотров • 4 месяцев назад •via X (Twitter)

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NVIDIA will cut your power bill if you let them bolt a $1,000,000 data center to your house. Or spend $2,999 and make $22,000. Option 1, they bolt 16 Blackwell chips to the outside of your house. You get free internet, battery backup, cheaper electricity. They get a million-dollar asset running 24/7 on your property, serving requests for Amazon, Microsoft, Google. Option 2, you buy a DGX Spark for $2,999. Size of a paperback. Sits on your desk. 128GB memory. Runs a 70B model locally. $10/month in electricity. No data leaves the room. Paid for itself in 6 weeks for someone spending $1,900/month on cloud GPU rentals. $22,000 back in year one. One option, you're the infrastructure. Other option, you own it. Same NVIDIA chips. Very different contracts.

NVIDIA will cut your power bill if you let them bolt a $1,000,000 data center to your house. Or spend $2,999 and make $22,000. Option 1, they bolt 16 Blackwell chips to the outside of your house. You get free internet, battery backup, cheaper electricity. They get a million-dollar asset running 24/7 on your property, serving requests for Amazon, Microsoft, Google. Option 2, you buy a DGX Spark for $2,999. Size of a paperback. Sits on your desk. 128GB memory. Runs a 70B model locally. $10/month in electricity. No data leaves the room. Paid for itself in 6 weeks for someone spending $1,900/month on cloud GPU rentals. $22,000 back in year one. One option, you're the infrastructure. Other option, you own it. Same NVIDIA chips. Very different contracts.

Superior

388,000 просмотров • 4 месяцев назад

NVIDIA WILL PAY YOU $150/MONTH TO BOLT 16 BLACKWELL GPUS TO YOUR HOUSE - OR YOU BUY THE BOX AND MAKE $22,000 A YEAR same NVIDIA chips. the contract is where it gets interesting. they attach a $1,000,000 data center to your house and pay you for it - you get free internet, battery backup and cheaper electricity while they run an asset serving Amazon, Microsoft and Google 24/7 on your property or you spend $2,999 on a DGX Spark the size of a paperback - 128GB memory, runs a 70B model locally, $10/month in electricity if you were paying $1,900/month on cloud GPU rentals it pays for itself in 6 weeks and puts $22,000 back in year one one contract you are the infrastructure. the other one you own it.

NVIDIA WILL PAY YOU $150/MONTH TO BOLT 16 BLACKWELL GPUS TO YOUR HOUSE - OR YOU BUY THE BOX AND MAKE $22,000 A YEAR same NVIDIA chips. the contract is where it gets interesting. they attach a $1,000,000 data center to your house and pay you for it - you get free internet, battery backup and cheaper electricity while they run an asset serving Amazon, Microsoft and Google 24/7 on your property or you spend $2,999 on a DGX Spark the size of a paperback - 128GB memory, runs a 70B model locally, $10/month in electricity if you were paying $1,900/month on cloud GPU rentals it pays for itself in 6 weeks and puts $22,000 back in year one one contract you are the infrastructure. the other one you own it.

Sprytix

26,247 просмотров • 4 месяцев назад

NVIDIA JUST SHOWED HOW A $4,699 BOX CAN KILL A $200 MONTHLY AI BILL AND RUN 200B MODELS FROM YOUR DESK. 00:02 NVIDIA delivers the DGX Spark to developers, researchers, and AI teams, turning what used to require rented datacenter GPUs into a box small enough to hold in one hand. inside is 128GB of unified memory, 4TB of storage, and up to 1 PFLOP of AI compute, enough to run 70B models comfortably and push into the 200B class locally. that means no per-token API bill, no files leaving your machine, and no waiting for someone else’s server every time an agent reads documents, writes code, or runs an automation. two DGX Sparks can even be linked together for models around 400B parameters, while a single unit costs roughly $4,000 to $4,700 instead of renting multi-GPU cloud infrastructure every month. the full local AI ladder starts at $0 with the computer you already own, but NVIDIA just showed what the final rung looks like: a personal AI supercomputer sitting directly on your desk.

NVIDIA JUST SHOWED HOW A $4,699 BOX CAN KILL A $200 MONTHLY AI BILL AND RUN 200B MODELS FROM YOUR DESK. 00:02 NVIDIA delivers the DGX Spark to developers, researchers, and AI teams, turning what used to require rented datacenter GPUs into a box small enough to hold in one hand. inside is 128GB of unified memory, 4TB of storage, and up to 1 PFLOP of AI compute, enough to run 70B models comfortably and push into the 200B class locally. that means no per-token API bill, no files leaving your machine, and no waiting for someone else’s server every time an agent reads documents, writes code, or runs an automation. two DGX Sparks can even be linked together for models around 400B parameters, while a single unit costs roughly $4,000 to $4,700 instead of renting multi-GPU cloud infrastructure every month. the full local AI ladder starts at $0 with the computer you already own, but NVIDIA just showed what the final rung looks like: a personal AI supercomputer sitting directly on your desk.

Gipp 🦅

11,334 просмотров • 2 месяцев назад

A company wants to pay you to put a $300,000 PC on your front lawn. His gut says that thing's getting stolen GTA style. He bought a $2,999 version instead. Fits on a desk. Runs the same AI workloads. Costs $10/month in electricity. 16 NVIDIA GPUs on your lawn, their compute, your property, their revenue. DGX Spark on your desk, your compute, your property, your revenue. He was spending $1,900/month renting cloud GPUs for client AI work. Fine-tuning models, running 70B assistants, processing document batches. The box does all of it locally. $10/month. Nothing billable. Nothing leaving the building. Break-even in 6 weeks. $22,000 saved in year one. The lawn option comes with free internet and a cheaper power bill. His option came with $22,000.

A company wants to pay you to put a $300,000 PC on your front lawn. His gut says that thing's getting stolen GTA style. He bought a $2,999 version instead. Fits on a desk. Runs the same AI workloads. Costs $10/month in electricity. 16 NVIDIA GPUs on your lawn, their compute, your property, their revenue. DGX Spark on your desk, your compute, your property, your revenue. He was spending $1,900/month renting cloud GPUs for client AI work. Fine-tuning models, running 70B assistants, processing document batches. The box does all of it locally. $10/month. Nothing billable. Nothing leaving the building. Break-even in 6 weeks. $22,000 saved in year one. The lawn option comes with free internet and a cheaper power bill. His option came with $22,000.

Superior

34,445 просмотров • 4 месяцев назад

Nvidia will now pay you to put a mini AI data center on your house It looks like a normal AC unit in the yard. But inside sits 16 Nvidia Blackwell GPUs and Dell servers. A startup called Span builds them, backed by Nvidia. They bolt onto your home and you get paid for the power and Wi-Fi. Some estimates put that around $1,000 a month in your pocket. That is rent money just for hosting a box outside. Span says it deploys way faster and cheaper than a real data center. The AI boom is literally moving into the suburbs. Save this, the grid is getting rebuilt in real time.

Nvidia will now pay you to put a mini AI data center on your house It looks like a normal AC unit in the yard. But inside sits 16 Nvidia Blackwell GPUs and Dell servers. A startup called Span builds them, backed by Nvidia. They bolt onto your home and you get paid for the power and Wi-Fi. Some estimates put that around $1,000 a month in your pocket. That is rent money just for hosting a box outside. Span says it deploys way faster and cheaper than a real data center. The AI boom is literally moving into the suburbs. Save this, the grid is getting rebuilt in real time.

winkle.

8,397,220 просмотров • 4 месяцев назад

Your home is about to become an AI data center and pay off your mortgage This is not a theory. It is already happening. Nvidia partnered with homebuilders to install AI hardware directly into new homes. A white box on the wall. Internet. Power outlet. It processes AI workloads for companies around the world. You do nothing. It just runs 24/7. Homeowners get paid a fixed amount every single month. Estimates put it at $2,000 to $3,000 straight into your account. That is $36,000 a year just for a box on your wall. These guys broke down exactly why this is massive, who is behind it and how regular homeowners get in. Suburbs are quietly becoming the new AI infrastructure. And the people who got in early are already getting paid. Watch the full video. All the alpha and everything you need to know is in there.

Your home is about to become an AI data center and pay off your mortgage This is not a theory. It is already happening. Nvidia partnered with homebuilders to install AI hardware directly into new homes. A white box on the wall. Internet. Power outlet. It processes AI workloads for companies around the world. You do nothing. It just runs 24/7. Homeowners get paid a fixed amount every single month. Estimates put it at $2,000 to $3,000 straight into your account. That is $36,000 a year just for a box on your wall. These guys broke down exactly why this is massive, who is behind it and how regular homeowners get in. Suburbs are quietly becoming the new AI infrastructure. And the people who got in early are already getting paid. Watch the full video. All the alpha and everything you need to know is in there.

winkle.

315,269 просмотров • 4 месяцев назад

This guy plugged a DGX Spark (the $3K Nvidia box) and a Mac Mini M4 together to run AI and what happened next surprised everyone > the Nvidia box handles the hard part - processing your prompt in milliseconds > Mac Mini M4 handles the fast part - generating the response at memory bandwidth speeds nothing else can match > together they hit 84 tokens per second on Llama - 6x faster than the Spark alone > running compute agents locally on this setup means your data never leaves your hardware > two boxes. two different architectures. one AI system that Deepseek runs at data center scale he ran it on his desk save this. the way we build local AI is about to change

This guy plugged a DGX Spark (the $3K Nvidia box) and a Mac Mini M4 together to run AI and what happened next surprised everyone > the Nvidia box handles the hard part - processing your prompt in milliseconds > Mac Mini M4 handles the fast part - generating the response at memory bandwidth speeds nothing else can match > together they hit 84 tokens per second on Llama - 6x faster than the Spark alone > running compute agents locally on this setup means your data never leaves your hardware > two boxes. two different architectures. one AI system that Deepseek runs at data center scale he ran it on his desk save this. the way we build local AI is about to change

Mr. Buzzoni

154,038 просмотров • 4 месяцев назад

NVIDIA will refund your cloud bill if you let them put a $250,000 supercomputer on your desk for $2,999 The $2,999 DGX Spark puts a 128GB AI supercomputer on your desk the same 70B models you rented in the cloud, but nothing goes over the network and no ToS governs the machine you own $22,000 in annual savings is the big number everyone posts The quiet number is even bigger it’s the contracts you’ve stopped losing due to data residency Owning your own compute is no longer just budget optimization it’s a way to sell to customers who can’t send their data to the cloud

NVIDIA will refund your cloud bill if you let them put a $250,000 supercomputer on your desk for $2,999 The $2,999 DGX Spark puts a 128GB AI supercomputer on your desk the same 70B models you rented in the cloud, but nothing goes over the network and no ToS governs the machine you own $22,000 in annual savings is the big number everyone posts The quiet number is even bigger it’s the contracts you’ve stopped losing due to data residency Owning your own compute is no longer just budget optimization it’s a way to sell to customers who can’t send their data to the cloud

Asteri

143,538 просмотров • 3 месяцев назад

A few years ago, running AI infrastructure required a warehouse. Today, one guy does it from his backyard. He installed an Nvidia AI supercomputer next to his home and connected it to power and fiber internet. From the outside, it looks like ordinary utility equipment. Inside, GPUs process AI workloads around the clock. Instead of building AI products himself, he leases computing capacity to companies that need extra horsepower. Every month, they pay for access. According to him, the system generates roughly $10,000 in recurring monthly revenue. No employees. No inventory. No customers knocking on the door. Just computing power. What used to be available only to major tech companies is slowly becoming accessible to individuals. And some homeowners are already turning that shift into a business. Save this post. The infrastructure behind AI is changing faster than most people realize.

A few years ago, running AI infrastructure required a warehouse. Today, one guy does it from his backyard. He installed an Nvidia AI supercomputer next to his home and connected it to power and fiber internet. From the outside, it looks like ordinary utility equipment. Inside, GPUs process AI workloads around the clock. Instead of building AI products himself, he leases computing capacity to companies that need extra horsepower. Every month, they pay for access. According to him, the system generates roughly $10,000 in recurring monthly revenue. No employees. No inventory. No customers knocking on the door. Just computing power. What used to be available only to major tech companies is slowly becoming accessible to individuals. And some homeowners are already turning that shift into a business. Save this post. The infrastructure behind AI is changing faster than most people realize.

Shelpid.WI3M

154,518 просмотров • 4 месяцев назад

Nvidia will pay you to put a $250,000 data center outside your house you don't touch it, you don't manage it, you just collect around $1,000 a month for the electricity and Wi-Fi it uses it looks like an AC unit, it's actually 16 Blackwell GPUs running AI workloads around the clock it's built by Span, a startup Nvidia invested in to make distributed compute a reality the reason Nvidia put money into this is simple they need compute everywhere and building data centers takes years and their solution is to skip the construction entirely, use residential grid capacity and deploy through your neighborhood instead this is much cheaper, faster, and can scale to millions of homes but there is still a question nobody has answered yet, what happens if someone steals it also, technically they could give each homeowner access to a slice of the compute even 2% of 16 Blackwell GPUs is more processing power than most people will ever use bookmark this, it's worth coming back to when you have time

Nvidia will pay you to put a $250,000 data center outside your house you don't touch it, you don't manage it, you just collect around $1,000 a month for the electricity and Wi-Fi it uses it looks like an AC unit, it's actually 16 Blackwell GPUs running AI workloads around the clock it's built by Span, a startup Nvidia invested in to make distributed compute a reality the reason Nvidia put money into this is simple they need compute everywhere and building data centers takes years and their solution is to skip the construction entirely, use residential grid capacity and deploy through your neighborhood instead this is much cheaper, faster, and can scale to millions of homes but there is still a question nobody has answered yet, what happens if someone steals it also, technically they could give each homeowner access to a slice of the compute even 2% of 16 Blackwell GPUs is more processing power than most people will ever use bookmark this, it's worth coming back to when you have time

Anatoli Kopadze

403,793 просмотров • 4 месяцев назад

NVIDIA will refund your cloud GPU bill if you let them bolt a $250,000 AI supercomputer to your desk for $2,999. NVIDIA's $2,999 DGX Spark puts a 128GB AI supercomputer on your desk runs the same 70B models you've been renting in the cloud, but nothing crosses your network and no ToS governs a machine you own. the $22K/year savings everyone's posting is the loud number. the quiet one is bigger: the contracts you stopped losing on data residency. own-compute isn't a budget optimization anymore. it's a sales motion. ↓ builder benchmark from the week the box shipped. real numbers, not marketing.

NVIDIA will refund your cloud GPU bill if you let them bolt a $250,000 AI supercomputer to your desk for $2,999. NVIDIA's $2,999 DGX Spark puts a 128GB AI supercomputer on your desk runs the same 70B models you've been renting in the cloud, but nothing crosses your network and no ToS governs a machine you own. the $22K/year savings everyone's posting is the loud number. the quiet one is bigger: the contracts you stopped losing on data residency. own-compute isn't a budget optimization anymore. it's a sales motion. ↓ builder benchmark from the week the box shipped. real numbers, not marketing.

dunik

821,240 просмотров • 4 месяцев назад

The entire AI boom has hit a physical wall that no chip can break: America does NOT have enough electricity to run what these companies are building. You don't form an emergency coalition around a problem you've solved. You form one around a problem that's beating you. This morning Nvidia, Google, and a startup called Emerald AI launched something called the AI Energy Management Alliance. 18 members, including the AI lab Anthropic, the utility National Grid, and the power producers AES and NRG. The stated mission: Data centers will become "good citizens" of the grid, gently easing their power use in the rare hours the system is stressed, protecting your electricity bill and keeping the lights on for everyone else. But read what Nvidia said underneath the press release: Power has become "the defining constraint" on the expansion of AI infrastructure in the United States. The most valuable company in history, the one selling every chip the boom runs on, just told you the ceiling on its own business is the number of watts the country can physically deliver. So what is this alliance actually for? It's a lobbying group. And its real ask is this: Right now a new data center can wait a decade or more to connect to the grid, because utilities have to build for the worst hour of the year. The alliance wants governors and regulators to let any data center that promises to throttle its power during peak hours skip that line and plug in faster and bigger. And the grid is already buckling, and you're already paying for it. On PJM, the largest grid in America, serving 67 million people across 13 states, the wholesale cost of power jumped 76% in a single year. The independent market monitor pinned it directly on data centers and said the damage "is not reversible." Capacity prices in that market went from about $29 per megawatt-day to $329, roughly 11 times higher, and data centers drove most of it. This summer PJM had to beg households to cut their usage during a heat wave to avoid rolling blackouts. That's the backdrop the word "affordability" is doing so much work against. Now look at what the alliance actually brings to fix it: Google runs a demand-response program of roughly 1 gigawatt. Emerald and Nvidia have run 6 demonstrations. The first genuinely flexible AI data center they can point to is a single 100 megawatt site in Virginia that isn't even switched on yet. That's the pilot they're holding up against a buildout measured in tens of gigawatts, ordered years in advance, and already raising your rates today. So strip the civics off it and here's what actually happened: The best-funded companies on Earth just formed a coalition whose entire premise is that they need permission to sometimes use LESS electricity. They are announcing that the grid ran out of room before the models ran out of ambition, and they would like to jump the queue while you cover the upgrades. This has nothing to do with strength. Every earlier limit on AI was just a number on a slide, whether it was compute or funding or chip supply, and every one of them got solved with more money. This one can't be solved that way. You cannot venture-fund a power plant into existence in a quarter, and you cannot print a transmission line. Electricity is the first ceiling the AI industry can't buy its way through, and today it admitted that while dressing it up as a favor to your utility bill.

The entire AI boom has hit a physical wall that no chip can break: America does NOT have enough electricity to run what these companies are building. You don't form an emergency coalition around a problem you've solved. You form one around a problem that's beating you. This morning Nvidia, Google, and a startup called Emerald AI launched something called the AI Energy Management Alliance. 18 members, including the AI lab Anthropic, the utility National Grid, and the power producers AES and NRG. The stated mission: Data centers will become "good citizens" of the grid, gently easing their power use in the rare hours the system is stressed, protecting your electricity bill and keeping the lights on for everyone else. But read what Nvidia said underneath the press release: Power has become "the defining constraint" on the expansion of AI infrastructure in the United States. The most valuable company in history, the one selling every chip the boom runs on, just told you the ceiling on its own business is the number of watts the country can physically deliver. So what is this alliance actually for? It's a lobbying group. And its real ask is this: Right now a new data center can wait a decade or more to connect to the grid, because utilities have to build for the worst hour of the year. The alliance wants governors and regulators to let any data center that promises to throttle its power during peak hours skip that line and plug in faster and bigger. And the grid is already buckling, and you're already paying for it. On PJM, the largest grid in America, serving 67 million people across 13 states, the wholesale cost of power jumped 76% in a single year. The independent market monitor pinned it directly on data centers and said the damage "is not reversible." Capacity prices in that market went from about $29 per megawatt-day to $329, roughly 11 times higher, and data centers drove most of it. This summer PJM had to beg households to cut their usage during a heat wave to avoid rolling blackouts. That's the backdrop the word "affordability" is doing so much work against. Now look at what the alliance actually brings to fix it: Google runs a demand-response program of roughly 1 gigawatt. Emerald and Nvidia have run 6 demonstrations. The first genuinely flexible AI data center they can point to is a single 100 megawatt site in Virginia that isn't even switched on yet. That's the pilot they're holding up against a buildout measured in tens of gigawatts, ordered years in advance, and already raising your rates today. So strip the civics off it and here's what actually happened: The best-funded companies on Earth just formed a coalition whose entire premise is that they need permission to sometimes use LESS electricity. They are announcing that the grid ran out of room before the models ran out of ambition, and they would like to jump the queue while you cover the upgrades. This has nothing to do with strength. Every earlier limit on AI was just a number on a slide, whether it was compute or funding or chip supply, and every one of them got solved with more money. This one can't be solved that way. You cannot venture-fund a power plant into existence in a quarter, and you cannot print a transmission line. Electricity is the first ceiling the AI industry can't buy its way through, and today it admitted that while dressing it up as a favor to your utility bill.

Ricardo

26,257 просмотров • 13 дней назад

AMD JUST KILLED THE $200 - A - MONTH AI SUBSCRIPTION - A 65-WATT BOX WITH 128GB OF UNIFIED MEMORY THAT RUNS 70B MODELS LOCALLY. that clip is amd's ryzen ai max+ 395 mini box, held up on stage. the whole pitch is one spec: 128gb of high-speed unified memory. why it matters: cpu, gpu and npu share the same 128gb pool, so a model that used to need a rack of vram just fits. what it actually runs: llama 70b in full precision on the built-in gpu open models up to ~100b parameters, locally, no cloud all of it in a mini pc pulling around 65 watts that's the part that ends the subscription: your prompts, your data, your model, on a box on your desk, not metered by the token. honest line: this runs open models, not gpt-5 or claude opus. for chat, coding help and agents on your own data it's more than enough. for the absolute frontier, the cloud still wins. and it isn't free: the box runs ~$1,500 and up. but that's a few months of a $200 sub, then it's yours forever. no monthly ai bill, no tokens metered, no prompt leaving the room. the uncomfortable part isn't that amd made a fast box. it's that "you need the cloud for ai" was a pricing choice, and unified memory just made it optional. follow RetroChainer for the hardware that turns rent into ownership, and bookmark this before your next ai renewal.

AMD JUST KILLED THE $200 - A - MONTH AI SUBSCRIPTION - A 65-WATT BOX WITH 128GB OF UNIFIED MEMORY THAT RUNS 70B MODELS LOCALLY. that clip is amd's ryzen ai max+ 395 mini box, held up on stage. the whole pitch is one spec: 128gb of high-speed unified memory. why it matters: cpu, gpu and npu share the same 128gb pool, so a model that used to need a rack of vram just fits. what it actually runs: llama 70b in full precision on the built-in gpu open models up to ~100b parameters, locally, no cloud all of it in a mini pc pulling around 65 watts that's the part that ends the subscription: your prompts, your data, your model, on a box on your desk, not metered by the token. honest line: this runs open models, not gpt-5 or claude opus. for chat, coding help and agents on your own data it's more than enough. for the absolute frontier, the cloud still wins. and it isn't free: the box runs ~$1,500 and up. but that's a few months of a $200 sub, then it's yours forever. no monthly ai bill, no tokens metered, no prompt leaving the room. the uncomfortable part isn't that amd made a fast box. it's that "you need the cloud for ai" was a pricing choice, and unified memory just made it optional. follow RetroChainer for the hardware that turns rent into ownership, and bookmark this before your next ai renewal.

RetroChainer

16,995 просмотров • 1 месяц назад

$New startup company will put ‘Mini Data Centers’ on the side of residential homes all over America Companies Nvidia and PulteGroup are patterning with SPAN, “A major U.S home builder is now making small fractional data centers, or they call them nodes that can be put on the side of residential homes.” “These could negate the need to build as many hyperscalers and AI cloud providers Just tap into the node network like a regular data center now SPAN, collaborated with NVIDIA using its technology in the system span claims it can install 8,000 of these units about six times faster and at five times lower cost than the construction of a typical centralized 100 megawatt data center of the same size.” In return for letting this company put a mini data center on the side of your home, you’ll get a $150 credit on your electricity bill In some locations you could get free electricity and internet$

New startup company will put ‘Mini Data Centers’ on the side of residential homes all over America Companies Nvidia and PulteGroup are patterning with SPAN, “A major U.S home builder is now making small fractional data centers, or they call them nodes that can be put on the side of residential homes.” “These could negate the need to build as many hyperscalers and AI cloud providers Just tap into the node network like a regular data center now SPAN, collaborated with NVIDIA using its technology in the system span claims it can install 8,000 of these units about six times faster and at five times lower cost than the construction of a typical centralized 100 megawatt data center of the same size.” In return for letting this company put a mini data center on the side of your home, you’ll get a $150 credit on your electricity bill In some locations you could get free electricity and internet

Wall Street Apes

258,762 просмотров • 4 месяцев назад

NVIDIA's new $1,999 box isn't interesting because of the hardware It's interesting because of what it does to trust Most people look at a machine like DGX Spark and immediately focus on the specs > More memory > More compute > Bigger models > Wrong angle The real value shows up during the sales call When you're pitching private AI, local inference or on-prem deployments, the hardest part is usually convincing buyers that your setup is legitimate That's why third-party validation matters The moment serious infrastructure reviewers start testing the hardware, the conversation changes Now you're no longer asking a client to trust your opinion You're pointing to a platform that has already been examined, benchmarked and discussed by people their IT team already follows And that's the part most builders are overlooking Everyone is talking about what the box can run Very few are talking about what the box can help sell

NVIDIA's new $1,999 box isn't interesting because of the hardware It's interesting because of what it does to trust Most people look at a machine like DGX Spark and immediately focus on the specs > More memory > More compute > Bigger models > Wrong angle The real value shows up during the sales call When you're pitching private AI, local inference or on-prem deployments, the hardest part is usually convincing buyers that your setup is legitimate That's why third-party validation matters The moment serious infrastructure reviewers start testing the hardware, the conversation changes Now you're no longer asking a client to trust your opinion You're pointing to a platform that has already been examined, benchmarked and discussed by people their IT team already follows And that's the part most builders are overlooking Everyone is talking about what the box can run Very few are talking about what the box can help sell

Insomnia

35,353 просмотров • 4 месяцев назад

A guy put an XFRA box outside his house and now gets paid $2,500 a month for doing nothing The box is about the size of an AC unit and mounts right on the wall. Inside it connects your home to a distributed AI compute network. Companies pay to run their AI workloads through it around the clock. He just plugged it in and that was it. Now $2,500 lands in his account every single month. That is $30,000 a year from a box he never touches. It is not Nvidia. It is not a government program. It is XFRA and regular homes are quietly becoming AI infrastructure. Every house a node. Every node earning. The people who move first lock in the best rates. Save this before your neighborhood figures it out before you.

A guy put an XFRA box outside his house and now gets paid $2,500 a month for doing nothing The box is about the size of an AC unit and mounts right on the wall. Inside it connects your home to a distributed AI compute network. Companies pay to run their AI workloads through it around the clock. He just plugged it in and that was it. Now $2,500 lands in his account every single month. That is $30,000 a year from a box he never touches. It is not Nvidia. It is not a government program. It is XFRA and regular homes are quietly becoming AI infrastructure. Every house a node. Every node earning. The people who move first lock in the best rates. Save this before your neighborhood figures it out before you.

winkle.

16,795 просмотров • 3 месяцев назад

This guy put an AI data center into a box that fits on a desk It doesn't look like a serious machine It looks like a mini PC you could hide behind a monitor But with enough unified memory it can run local models, answer over your own files, power agents and keep private work off someone else's servers That sounds like a hobby setup until you look at what people are actually renting every month Claude subscription ChatGPT subscription API credits cloud GPU time usage limits private files uploaded into third-party tools For years the deal was simple: if you wanted intelligence, you rented it Now a Mac Mini M4 Pro or a 128GB AMD mini PC can handle a big part of everyday AI work locally Ollama runs the models Open WebUI gives you the chat interface Tailscale lets you reach it from your phone or laptop without exposing it to the open internet The cloud still wins for the hardest tasks But most daily AI work is not frontier research It is reading documents, summarizing files, drafting, coding helpers, search, notes and private workflows Most people will keep paying rent because it is convenient Others are realizing the assistant they rent every month can become hardware they own save this

This guy put an AI data center into a box that fits on a desk It doesn't look like a serious machine It looks like a mini PC you could hide behind a monitor But with enough unified memory it can run local models, answer over your own files, power agents and keep private work off someone else's servers That sounds like a hobby setup until you look at what people are actually renting every month Claude subscription ChatGPT subscription API credits cloud GPU time usage limits private files uploaded into third-party tools For years the deal was simple: if you wanted intelligence, you rented it Now a Mac Mini M4 Pro or a 128GB AMD mini PC can handle a big part of everyday AI work locally Ollama runs the models Open WebUI gives you the chat interface Tailscale lets you reach it from your phone or laptop without exposing it to the open internet The cloud still wins for the hardest tasks But most daily AI work is not frontier research It is reading documents, summarizing files, drafting, coding helpers, search, notes and private workflows Most people will keep paying rent because it is convenient Others are realizing the assistant they rent every month can become hardware they own save this

Asteri

12,199 просмотров • 3 месяцев назад

Introducing Solode Neo — a personal AI node designed to run and host autonomous AI agents at home or in the office, always on, and entirely under your control. Your AI runs while you sleep. Wake up to compiled research. Automated emails. Organized files. All from a simple message on Telegram or your preferred messaging app. Just plug it in, connect to Wi-Fi, and start working. No coding. No cloud. No limits. Solode Neo comes pre-configured with OpenClaw🦞 and a curated selection of LLMs. It’s built for continuous 24/7 agentic workloads, with all inference, voice processing, and data handling running locally by default. No data leaves your device unless you choose to enable it. The PC put computing on every desk. Now, Solode Neo is here to put autonomous AI in every home, office, and living space. Hardware infrastructure is just the beginning: the full stack is coming. Official pricing at US$399. Early bird pricing at US$369 for waitlist members. Be the first to bring personal AI home: #SolodeNeo #AgenticAI #DigitalInfrastructure #SOLAI $SLAI

Introducing Solode Neo — a personal AI node designed to run and host autonomous AI agents at home or in the office, always on, and entirely under your control. Your AI runs while you sleep. Wake up to compiled research. Automated emails. Organized files. All from a simple message on Telegram or your preferred messaging app. Just plug it in, connect to Wi-Fi, and start working. No coding. No cloud. No limits. Solode Neo comes pre-configured with OpenClaw🦞 and a curated selection of LLMs. It’s built for continuous 24/7 agentic workloads, with all inference, voice processing, and data handling running locally by default. No data leaves your device unless you choose to enable it. The PC put computing on every desk. Now, Solode Neo is here to put autonomous AI in every home, office, and living space. Hardware infrastructure is just the beginning: the full stack is coming. Official pricing at US$399. Early bird pricing at US$369 for waitlist members. Be the first to bring personal AI home: #SolodeNeo #AgenticAI #DigitalInfrastructure #SOLAI $SLAI

SOLAI Limited

22,799 просмотров • 5 месяцев назад

NVIDIA JUST MADE A WORLD-CLASS AI CODER COMPLETELY FREE WHERE YOU SPEAK TO YOUR SCREEN AND THE APP BUILDS ITSELF it runs locally on your own computer using Claude and Ollama with no subscriptions, no cloud, and no technical setup headache.

NVIDIA JUST MADE A WORLD-CLASS AI CODER COMPLETELY FREE WHERE YOU SPEAK TO YOUR SCREEN AND THE APP BUILDS ITSELF it runs locally on your own computer using Claude and Ollama with no subscriptions, no cloud, and no technical setup headache.

0xMarioNawfal

57,531 просмотров • 3 месяцев назад

This white box on your house wall makes $3,000 a month from Nvidia A white panel the size of a small box bolts right onto your wall. Inside it runs Nvidia AI workloads 24/7. Nvidia teamed up with Pultegroup and SPAN to install these in brand new homes. The box processes AI tasks for companies remotely. Nvidia pays you a flat $3,000 a month just for having it on your wall. You do nothing. It just runs. That is $36,000 a year from a box you never touch. Thousands of new homes are being built with this already baked in. Your house becomes part of the AI infrastructure without you lifting a finger. The suburbs are turning into the new data centers. And the people living there are getting paid for it. Save this before your neighbor signs up before you do.

winkle.

44,764 просмотров • 4 месяцев назад