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Destra Edge — $DSYNC From Idea to Reality Yesterday, we introduced Destra Edge. Today, we show you what it means. For too long, AI has lived in data centers. Expensive. Centralized. Controlled by a few. Meanwhile, billions of smartphones sit idle. Powerful GPUs. Doing nothing. That doesn’t make sense....

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Destra Network

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20,524 görüntüleme • 9 ay önce •via X (Twitter)

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CryptoSkull 💀 ze last bull standing profil fotoğrafı
CryptoSkull 💀 ze last bull standing9 ay önce

Massive update congrats to the team and everyone involved 🔥

the Tenor Drummer profil fotoğrafı
the Tenor Drummer9 ay önce

The edge network from $THETA is already live

Benno profil fotoğrafı
Benno9 ay önce

Scam

Smokey profil fotoğrafı
Smokey9 ay önce

LFGGGGG

altanalyzer.anon profil fotoğrafı
altanalyzer.anon9 ay önce

Another pivot? 🥱

CK profil fotoğrafı
CK9 ay önce

🎊

MJ profil fotoğrafı
MJ9 ay önce

Nuts! $Dsync

FlagrantCrypto ⓥ profil fotoğrafı
FlagrantCrypto ⓥ9 ay önce

First of all too ambitious for a team that has not disclosed itself

CryptoMoon Astrologist 🚀📈🔫 profil fotoğrafı
CryptoMoon Astrologist 🚀📈🔫9 ay önce

Big big team here ❤️🫶 we love you $dsync

RP profil fotoğrafı
RP9 ay önce

Amazing idea and concept. Hopefully it materialises

okwor James profil fotoğrafı
okwor James9 ay önce

You guys have done well 🚀

felixthecat profil fotoğrafı
felixthecat9 ay önce

Good work #DSYNC

Thorin profil fotoğrafı
Thorin9 ay önce

👀🔥

Kathrine 🌼🌼 profil fotoğrafı
Kathrine 🌼🌼9 ay önce

$Dsync going places ❤️

FlagrantCrypto ⓥ profil fotoğrafı
FlagrantCrypto ⓥ9 ay önce

A few take aways from this video lol

Marco profil fotoğrafı
Marco9 ay önce

Check DM @DestraNetwork

Bicnasty profil fotoğrafı
Bicnasty9 ay önce

When will this be available @DestraNetwork ? Not seeing it in the app-store yet.

FlagrantCrypto ⓥ profil fotoğrafı
FlagrantCrypto ⓥ9 ay önce

You can solve all this with actually being transparent and showing your face if you are so good and going to be so strong and widely used on top of actually distributing rewards and not from your own pockets to make it look real

StevieStingray profil fotoğrafı
StevieStingray9 ay önce

Sign me up 💯🧠

Trader Tarzan profil fotoğrafı
Trader Tarzan9 ay önce

🔥

FlagrantCrypto ⓥ profil fotoğrafı
FlagrantCrypto ⓥ9 ay önce

Secondly, there are publicly traded companies worth billions trying to build the infrastructure for this niche and they are in the multiple billions…who the frick are destra that they will break them all and have so many phones world wide use this

Icoo0n profil fotoğrafı
Icoo0n9 ay önce

The impact of Destra Edge once live 😱 Well done team and looking forward $DSYNC 💎

Alex profil fotoğrafı
Alex9 ay önce

Destra 💪

pitbull profil fotoğrafı
pitbull9 ay önce

Wow!! $DSYNC

joydizoye profil fotoğrafı
joydizoye9 ay önce

$DSYNC 🔥

Paidxpo profil fotoğrafı
Paidxpo9 ay önce

@Mar324x

Clara profil fotoğrafı
Clara9 ay önce

hi

CryptocrazeX profil fotoğrafı
CryptocrazeX9 ay önce

Sick 🔥

$LIT profil fotoğrafı
$LIT9 ay önce

GAME CHANGER

FlagrantCrypto ⓥ profil fotoğrafı
FlagrantCrypto ⓥ9 ay önce

Thirdly, their videos are such poor quality, atleast spend some of our stolen money on making some actual sexy video with a better voice over that doesn’t get stuck on the ra in destra

Wingzero profil fotoğrafı
Wingzero9 ay önce

LFG TEAM !

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🇺🇸 ELON KILLED THE SMARTPHONE: "WE'RE NOT GOING TO HAVE A PHONE IN THE TRADITIONAL SENSE" No, Tesla isn't building a phone. They're leapfrogging the entire concept. The device in your pocket won't be a phone anymore. It'll be a super-thin AI edge node, basically a screen with radios that pings Grok/xAI servers for EVERYTHING in real time. No apps. No operating system. No local processing. Just instant photorealistic video generation, simulations, predictive actions (it orders your coffee before you know you want it), all streamed from the cloud like your brain is directly plugged into the AI. Exact quote that broke the internet: “We’re not going to have a phone in the traditional sense. What we’ll call a phone will really be an edge node for AI inference with some radios to connect.” This is already how Grok works in Tesla cars: voice in, server crunches, perfect response out. Now imagine that in your pocket, on steroids. The ultimate edge node is your brain talking directly to the AI, no screen needed. The smartphone dies in the next 5 years. The AI companion era begins. And xAI is building the brain of the entire thing. The future isn't a better iPhone. It's the death of the phone as we know it. Elon showed the blueprint. Source: Elon Musk, Joe Rogan, Sawyer Merritt

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70,000 Phones, One AI Agent — The World's Largest Edge AI Fleet Runs on Hermes We turned 70,000 phones into a shared AI compute network. Any device owner contributes idle compute. Any developer taps distributed inference at a fraction of cloud cost. Not a concept. Not a whitepaper. 70K devices online today. The problem: orchestrating a shared network of heterogeneous edge devices — different chipsets, different memory, different thermal profiles, different owners — is a coordination nightmare no human team can handle manually. So we gave the network a brain: Nous Research Hermes Agent. Hermes connects to 16 MCP servers and runs 24/7: 🔬 Research Loop — Tracks every breakthrough in on-device inference: quantization (GPTQ/AWQ/GGUF), speculative decoding on mobile SoCs, federated learning protocols. Auto-imports papers into NotebookLM. 36 research topics, zero manual curation. 🌐 Network Intelligence — Monitors device availability, compute capacity, and workload distribution across the shared fleet. Surfaces bottlenecks before they cascade. 🧬 Tech Tree Optimizer — Maps the full optimization frontier: from KV-cache compression to on-device LoRA to peer-to-peer model sharding. Hermes autonomously identifies which research paths unlock the most network-wide throughput gains. The result: a self-improving shared compute network. Research compounds daily. The fleet gets smarter without human intervention. Cloud AI scales with money. We scale with people. #HermesHackathon Teknium 🪽 Delphi Digital Tommy

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0:47

Destra Network| $DSYNC Introducing Destra Zone: 𝐘𝐨𝐮𝐫 𝐏𝐨𝐜𝐤𝐞𝐭-𝐒𝐢𝐳𝐞𝐝 𝐊𝐞𝐲 𝐭𝐨 𝐃𝐢𝐠𝐢𝐭𝐚𝐥 𝐏𝐫𝐢𝐯𝐚𝐜𝐲. Destra Zone device is designed to safeguard your personal data and ensure a secure internet experience no matter where you are, by establishing a protected Wi-Fi hotspot that connects to existing networks, Destra Zone acts as a mediator, managing all your DNS requests and shielding your online activities from potential attackers. Unlike traditional solutions, Destra Zone offers more than just a VPN. It features an AI-driven firewall to detect and block malicious DNS requests and leverages the Destra Network's decentralized DNS network for enhanced security. With the power of the Destra network, this device provides a comprehensive defense against cyber threats, keeping your internet traffic confidential and secure. Additionally, Destra Zone allows you to monitor the servers and domains with which your devices are communicating, giving you control over your digital interactions. Over the past few weeks, we have been prototyping designs for the Destra Zone and are in the final iterations of hardware design. We chose multiple microcontroller units and started testing to finalize the best option that balances power efficiency, processing capability, and cost-effectiveness. These tests ensure that the device can handle high volumes of DNS requests and complex AI-driven threat detection algorithms seamlessly. As much as on functionality, we are also focusing on the durability and reliability of the device, making sure it outlasts all your electronic devices. We've started the patent filing process and are currently in patent search stage with the USPTO and are expecting to ship the first batch of Destra Zone beta devices to the beta testers from the community in three months.

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When we first met Tom, his obsession with energy markets came through immediately. Seemed random, but it's "actually" central to what he's building at Actual Computer. The thesis is that local inference is inevitable. Open source models are getting good enough, people don't want to feed their thoughts to AI labs, and demand for compute will continue to be insatiable. But the main forcing function is that chips aren't the bottleneck anymore - power is. Compute is derivative of energy, and the massive data center buildout has created an energy shortage where GPUs sit idle waiting for power to come online. Yet one place that already has power, and always will, is everywhere else. Homes. Businesses. Universities. Collectively, they have more compute than all the data centers combined. Tom Lynch goal is to build a distributed network of people plugging in their local compute (devices like Mac minis to consumer Nvidia cards) to serve inference demand. The substrate he's chosen is Bittensor, on Subnet 95. Actual Computer has an exceptional team behind it, and this is one of the projects that's gotten me most excited in a long time. Enjoy this conversation with the two of us!
37:17

When we first met Tom, his obsession with energy markets came through immediately. Seemed random, but it's "actually" central to what he's building at Actual Computer. The thesis is that local inference is inevitable. Open source models are getting good enough, people don't want to feed their thoughts to AI labs, and demand for compute will continue to be insatiable. But the main forcing function is that chips aren't the bottleneck anymore - power is. Compute is derivative of energy, and the massive data center buildout has created an energy shortage where GPUs sit idle waiting for power to come online. Yet one place that already has power, and always will, is everywhere else. Homes. Businesses. Universities. Collectively, they have more compute than all the data centers combined. Tom Lynch goal is to build a distributed network of people plugging in their local compute (devices like Mac minis to consumer Nvidia cards) to serve inference demand. The substrate he's chosen is Bittensor, on Subnet 95. Actual Computer has an exceptional team behind it, and this is one of the projects that's gotten me most excited in a long time. Enjoy this conversation with the two of us!

Sami Kassab

35,706 görüntüleme • 8 ay önce

𝐃𝐞𝐬𝐭𝐫𝐚 𝐍𝐞𝐭𝐰𝐨𝐫𝐤 | $DSYNC 𝐎𝐧𝐞-𝐂𝐥𝐢𝐜𝐤 𝐍𝐨𝐝𝐞 𝐁𝐞𝐭𝐚 𝐢𝐬 𝐋𝐈𝐕𝐄 We’re excited to announce the launch of the 𝐃𝐞𝐬𝐭𝐫𝐚 𝐎𝐧𝐞-𝐂𝐥𝐢𝐜𝐤 𝐍𝐨𝐝𝐞 Beta, starting with Storage Nodes for Mac and Windows users! This is more than just a feature—it’s the next leap in decentralized computing, designed to make 𝐫𝐮𝐧𝐧𝐢𝐧𝐠 𝐧𝐨𝐝𝐞𝐬 𝐚𝐬 𝐬𝐢𝐦𝐩𝐥𝐞 𝐚𝐬 𝐜𝐥𝐢𝐜𝐤𝐢𝐧𝐠 𝐚 𝐛𝐮𝐭𝐭𝐨𝐧. Here’s what this means for YOU: 🖱️ 𝐎𝐧𝐞-𝐂𝐥𝐢𝐜𝐤 𝐒𝐢𝐦𝐩𝐥𝐢𝐜𝐢𝐭𝐲 Gone are the days of complicated node configurations. Whether you’re a seasoned tech expert or a complete beginner, deploying a node has never been simpler. With just one click, you can join the Destra ecosystem and start contributing to the decentralized network in minutes—no technical skills needed! 💪 𝐅𝐮𝐞𝐥𝐢𝐧𝐠 𝐚 𝐆𝐥𝐨𝐛𝐚𝐥 𝐃𝐞𝐜𝐞𝐧𝐭𝐫𝐚𝐥𝐢𝐳𝐞𝐝 𝐍𝐞𝐭𝐰𝐨𝐫𝐤 Your node powers the Destra Network, supporting AI training, blockchain innovation, and LLM development. Together, we’re building a decentralized future that’s secure, scalable, and accessible. -⚡ 𝐖𝐡𝐚𝐭’𝐬 𝐍𝐞𝐱𝐭? 𝐆𝐏𝐔 𝐍𝐨𝐝𝐞𝐬 We’re not stopping here. With the upcoming update, you’ll also be able to deploy GPU nodes seamlessly, taking decentralized computing to a whole new level. -🎥 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 𝐌𝐢𝐧𝐮𝐭𝐞𝐬 To get you started, we’ve created a step-by-step How-To video and attached it to this tweet, watch it now and see just how simple it is 🌍 $𝟓𝟎𝟎,𝟎𝟎𝟎 𝐈𝐧𝐜𝐞𝐧𝐭𝐢𝐯𝐞 𝐏𝐫𝐨𝐠𝐫𝐚𝐦 We’re rolling out an exclusive $500,000 incentive program to accelerate adoption. Details about how you can participate and earn rewards will be revealed later this week—stay tuned! From AI training to seamless dApp creation with Destra Genesis, we’re building the tools to redefine what’s possible in crypto. Download the beta now and be part of the Destra Network. 📥 Download here:
2:51

𝐃𝐞𝐬𝐭𝐫𝐚 𝐍𝐞𝐭𝐰𝐨𝐫𝐤 | $DSYNC 𝐎𝐧𝐞-𝐂𝐥𝐢𝐜𝐤 𝐍𝐨𝐝𝐞 𝐁𝐞𝐭𝐚 𝐢𝐬 𝐋𝐈𝐕𝐄 We’re excited to announce the launch of the 𝐃𝐞𝐬𝐭𝐫𝐚 𝐎𝐧𝐞-𝐂𝐥𝐢𝐜𝐤 𝐍𝐨𝐝𝐞 Beta, starting with Storage Nodes for Mac and Windows users! This is more than just a feature—it’s the next leap in decentralized computing, designed to make 𝐫𝐮𝐧𝐧𝐢𝐧𝐠 𝐧𝐨𝐝𝐞𝐬 𝐚𝐬 𝐬𝐢𝐦𝐩𝐥𝐞 𝐚𝐬 𝐜𝐥𝐢𝐜𝐤𝐢𝐧𝐠 𝐚 𝐛𝐮𝐭𝐭𝐨𝐧. Here’s what this means for YOU: 🖱️ 𝐎𝐧𝐞-𝐂𝐥𝐢𝐜𝐤 𝐒𝐢𝐦𝐩𝐥𝐢𝐜𝐢𝐭𝐲 Gone are the days of complicated node configurations. Whether you’re a seasoned tech expert or a complete beginner, deploying a node has never been simpler. With just one click, you can join the Destra ecosystem and start contributing to the decentralized network in minutes—no technical skills needed! 💪 𝐅𝐮𝐞𝐥𝐢𝐧𝐠 𝐚 𝐆𝐥𝐨𝐛𝐚𝐥 𝐃𝐞𝐜𝐞𝐧𝐭𝐫𝐚𝐥𝐢𝐳𝐞𝐝 𝐍𝐞𝐭𝐰𝐨𝐫𝐤 Your node powers the Destra Network, supporting AI training, blockchain innovation, and LLM development. Together, we’re building a decentralized future that’s secure, scalable, and accessible. -⚡ 𝐖𝐡𝐚𝐭’𝐬 𝐍𝐞𝐱𝐭? 𝐆𝐏𝐔 𝐍𝐨𝐝𝐞𝐬 We’re not stopping here. With the upcoming update, you’ll also be able to deploy GPU nodes seamlessly, taking decentralized computing to a whole new level. -🎥 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 𝐌𝐢𝐧𝐮𝐭𝐞𝐬 To get you started, we’ve created a step-by-step How-To video and attached it to this tweet, watch it now and see just how simple it is 🌍 $𝟓𝟎𝟎,𝟎𝟎𝟎 𝐈𝐧𝐜𝐞𝐧𝐭𝐢𝐯𝐞 𝐏𝐫𝐨𝐠𝐫𝐚𝐦 We’re rolling out an exclusive $500,000 incentive program to accelerate adoption. Details about how you can participate and earn rewards will be revealed later this week—stay tuned! From AI training to seamless dApp creation with Destra Genesis, we’re building the tools to redefine what’s possible in crypto. Download the beta now and be part of the Destra Network. 📥 Download here:

Destra Network

41,855 görüntüleme • 1 yıl önce

If intelligence is the log of compute… it starts with a lot of compute! And that’s why we’re scaling our GPU fleet faster than anyone else. Just last year, we added over 2 gigawatts of new capacity – roughly the output of 2 nuclear power plants. And today we’re going further, announcing the world's most powerful AI datacenter, located in southeastern Wisconsin. Fairwater is a seamless cluster of hundreds of thousands of NVIDIA GB200s, connected by enough fiber to circle the Earth 4.5 times. It will deliver 10x the performance of the world’s fastest supercomputer today, enabling AI training and inference workloads at a level never before seen. For AI training workloads, you need compute at exponential scale. That’s why we designed the datacenter, GPU fleet, and network together as one integrated system. This ensures a single job can run from day 1 at exponential scale across thousands of GPUs. Fairwater uses a liquid-cooled closed-loop system for cooling GPUs that requires zero water for operations after construction. And we’re matching all of the energy that is consumed with renewable sources. And of course, it is just one of several similar sites we’re lighting up across our 70+ regions. We have multiple identical Fairwater datacenters under construction in other locations across the US, in addition to our AI infrastructure already deployed in over 100 datacenters around the world, powering model training, test-time compute, RL tuning, and real-time inference at global scale. Too often during times like this, people go with the current and only later wonder, how did we get here? With Fairwater, we're charting a new path: doing the hard engineering work, bringing compute, network, and storage into one highly scaled cluster, and designing closed-loop energy systems to meet real-world computing needs. And partnering with local communities to ensure it's thoughtfully done in a way that is sustainable, creates new jobs, and expands opportunity. We are thrilled to see this take hold in Wisconsin, and we are just getting started.
0:21

If intelligence is the log of compute… it starts with a lot of compute! And that’s why we’re scaling our GPU fleet faster than anyone else. Just last year, we added over 2 gigawatts of new capacity – roughly the output of 2 nuclear power plants. And today we’re going further, announcing the world's most powerful AI datacenter, located in southeastern Wisconsin. Fairwater is a seamless cluster of hundreds of thousands of NVIDIA GB200s, connected by enough fiber to circle the Earth 4.5 times. It will deliver 10x the performance of the world’s fastest supercomputer today, enabling AI training and inference workloads at a level never before seen. For AI training workloads, you need compute at exponential scale. That’s why we designed the datacenter, GPU fleet, and network together as one integrated system. This ensures a single job can run from day 1 at exponential scale across thousands of GPUs. Fairwater uses a liquid-cooled closed-loop system for cooling GPUs that requires zero water for operations after construction. And we’re matching all of the energy that is consumed with renewable sources. And of course, it is just one of several similar sites we’re lighting up across our 70+ regions. We have multiple identical Fairwater datacenters under construction in other locations across the US, in addition to our AI infrastructure already deployed in over 100 datacenters around the world, powering model training, test-time compute, RL tuning, and real-time inference at global scale. Too often during times like this, people go with the current and only later wonder, how did we get here? With Fairwater, we're charting a new path: doing the hard engineering work, bringing compute, network, and storage into one highly scaled cluster, and designing closed-loop energy systems to meet real-world computing needs. And partnering with local communities to ensure it's thoughtfully done in a way that is sustainable, creates new jobs, and expands opportunity. We are thrilled to see this take hold in Wisconsin, and we are just getting started.

Satya Nadella

2,027,412 görüntüleme • 1 yıl önce

This is why Nebius will be a trillion dollar hyperscaler (Save this). Nebius is not building another GPU rental shop but rather building a vertically integrated hyperscaler that owns everything from the physical data center, to the server rack hardware it designs in house, to the software stack, to the inference delivery layer. Nearly every other neocloud is essentially a reseller of someone else's infrastructure but Nebius owns the full stack end to end and that distinction is the entire thesis. Here is why vertical integration is the winning architecture for the inference era. AWS and Azure were architected for general purpose computing and every AI workload they run sits on top of infrastructure that was never designed for it, patched, adapted and optimized after the fact. Nebius was built from day one specifically for AI which means every layer of the stack is purpose built and co optimized. The rack design, the networking topology, the cooling systems and the software that orchestrates it all are engineered together as a single system rather than assembled from parts that were never meant to work together. That architectural difference compounds with every passing quarter as AI workloads grow more complex and the performance gap between purpose built and general purpose infrastructure widens. The software layer is where the real competitive moat lives. Most infrastructure companies think of software as a wrapper around hardware while Nebius thinks of software as the product with hardware as the substrate it controls. The company is building an AI native cloud platform where the software layer handles model serving, inference optimization, fine tuning pipelines and developer tooling as first-class primitives. This matters because inference efficiency is almost entirely a software problem. Two companies running identical GPUs can deliver dramatically different performance and cost per token depending on how intelligently the software schedules, batches and routes inference requests across the cluster. Nebius is also building for a fundamental shift in how AI infrastructure gets consumed. Today, enterprise developers navigate massive cloud service catalogs spinning up clusters, managing configurations and building deep expertise in AWS or GCP-specific tooling. The next generation of builders will simply provision agents to interface with infrastructure directly. Nebius is architecting its software layer for that future , one where the interface between the developer and the compute abstraction layer looks nothing like what AWS built in 2006. The entire available capacity has been sold out every quarter. And that is the best possible validation that what Nebius is building is exactly what the market needs and that the market is willing to commit at a scale that makes the current valuation look like the beginning of a much longer story. Long Nebius and make sure to follow me Melvin for more overlooked AI stocks.
4:44

This is why Nebius will be a trillion dollar hyperscaler (Save this). Nebius is not building another GPU rental shop but rather building a vertically integrated hyperscaler that owns everything from the physical data center, to the server rack hardware it designs in house, to the software stack, to the inference delivery layer. Nearly every other neocloud is essentially a reseller of someone else's infrastructure but Nebius owns the full stack end to end and that distinction is the entire thesis. Here is why vertical integration is the winning architecture for the inference era. AWS and Azure were architected for general purpose computing and every AI workload they run sits on top of infrastructure that was never designed for it, patched, adapted and optimized after the fact. Nebius was built from day one specifically for AI which means every layer of the stack is purpose built and co optimized. The rack design, the networking topology, the cooling systems and the software that orchestrates it all are engineered together as a single system rather than assembled from parts that were never meant to work together. That architectural difference compounds with every passing quarter as AI workloads grow more complex and the performance gap between purpose built and general purpose infrastructure widens. The software layer is where the real competitive moat lives. Most infrastructure companies think of software as a wrapper around hardware while Nebius thinks of software as the product with hardware as the substrate it controls. The company is building an AI native cloud platform where the software layer handles model serving, inference optimization, fine tuning pipelines and developer tooling as first-class primitives. This matters because inference efficiency is almost entirely a software problem. Two companies running identical GPUs can deliver dramatically different performance and cost per token depending on how intelligently the software schedules, batches and routes inference requests across the cluster. Nebius is also building for a fundamental shift in how AI infrastructure gets consumed. Today, enterprise developers navigate massive cloud service catalogs spinning up clusters, managing configurations and building deep expertise in AWS or GCP-specific tooling. The next generation of builders will simply provision agents to interface with infrastructure directly. Nebius is architecting its software layer for that future , one where the interface between the developer and the compute abstraction layer looks nothing like what AWS built in 2006. The entire available capacity has been sold out every quarter. And that is the best possible validation that what Nebius is building is exactly what the market needs and that the market is willing to commit at a scale that makes the current valuation look like the beginning of a much longer story. Long Nebius and make sure to follow me Melvin for more overlooked AI stocks.

Melvin

34,306 görüntüleme • 3 ay önce

Finally. After 18 months of patience, FSD is officially approved and live in the Netherlands. I’ve been driving with it for 2 days now. And the experience is on another level. It feels like the future unfolding in real time. The precision. The intelligence. The confidence of the system. This is not incremental progress. This is a clear step forward in how mobility works. Huge thanks to Elon Musk and the entire AI team at Tesla. From a professional perspective, this shows what is possible when software, data, and real-world deployment come together at scale. The question is no longer if this will take over. The question is how fast it will expand. This is a turning point. Elon Musk
1:57

Finally. After 18 months of patience, FSD is officially approved and live in the Netherlands. I’ve been driving with it for 2 days now. And the experience is on another level. It feels like the future unfolding in real time. The precision. The intelligence. The confidence of the system. This is not incremental progress. This is a clear step forward in how mobility works. Huge thanks to Elon Musk and the entire AI team at Tesla. From a professional perspective, this shows what is possible when software, data, and real-world deployment come together at scale. The question is no longer if this will take over. The question is how fast it will expand. This is a turning point. Elon Musk

NL F$D Inside

25,132,506 görüntüleme • 6 ay önce

🔼 Autonomys—Under the Hood | The Architecture of the Foundation Layer for AI3.0 Blockchains are abundant, but true decentralization? That’s rare. Understanding what sets a network apart is essential—whether you’re building, contributing, or seeking AI-ready infrastructure. In this video, we break down the Autonomys Network, powered by the Subspace Protocol, and explore the core components that make it the foundation layer for AI3.0.
3:55

🔼 Autonomys—Under the Hood | The Architecture of the Foundation Layer for AI3.0 Blockchains are abundant, but true decentralization? That’s rare. Understanding what sets a network apart is essential—whether you’re building, contributing, or seeking AI-ready infrastructure. In this video, we break down the Autonomys Network, powered by the Subspace Protocol, and explore the core components that make it the foundation layer for AI3.0.

Autonomys | AI3.0

237,505 görüntüleme • 1 yıl önce

🚨 I DON'T KNOW WHAT PEOPLE ARE WAITING FOR! This guy just deployed a full GPU compute farm in a data center Not renting cloud instances, not paying per-token, just racks of consumer GPUs on warehouse shelving doing AI inference 24/7 The setup is wild: open-frame rigs with rows of white fans, PCIe riser cables, server-grade PSUs, and a PDU for power distribution. All mounted on red industrial shelving with raised-floor cooling underneath. It looks like a crypto mining op, because it probably was one Here's what's actually happening: > Ex-mining rigs are being redeployed for AI inference at scale > Each rig runs 6-8 GPUs on PCIe risers connected to a single motherboard > Fans pull cold air from the raised floor through the open frames > A PDU on each rack handles power distribution across all rigs > The whole thing runs in a colocation facility with cheap power rates The economics make sense: cloud GPU pricing runs $2-4/hr per card. Own the hardware, colocate it for $0.08-0.12/kWh, and you're printing compute at a fraction of the cost The crypto-to-AI pipeline is real. Same hardware, same facilities, same power contracts, completely different revenue model Bookmark this!
0:53

🚨 I DON'T KNOW WHAT PEOPLE ARE WAITING FOR! This guy just deployed a full GPU compute farm in a data center Not renting cloud instances, not paying per-token, just racks of consumer GPUs on warehouse shelving doing AI inference 24/7 The setup is wild: open-frame rigs with rows of white fans, PCIe riser cables, server-grade PSUs, and a PDU for power distribution. All mounted on red industrial shelving with raised-floor cooling underneath. It looks like a crypto mining op, because it probably was one Here's what's actually happening: > Ex-mining rigs are being redeployed for AI inference at scale > Each rig runs 6-8 GPUs on PCIe risers connected to a single motherboard > Fans pull cold air from the raised floor through the open frames > A PDU on each rack handles power distribution across all rigs > The whole thing runs in a colocation facility with cheap power rates The economics make sense: cloud GPU pricing runs $2-4/hr per card. Own the hardware, colocate it for $0.08-0.12/kWh, and you're printing compute at a fraction of the cost The crypto-to-AI pipeline is real. Same hardware, same facilities, same power contracts, completely different revenue model Bookmark this!

cristal

16,305 görüntüleme • 3 ay önce