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🔬 Fold proteomes privately, no queues, no bottlenecks Bring protein structure prediction to your desktop. Powered by the GB10 Grace Blackwell Superchip, our new NVIDIA DGX Spark will deliver: ⚡ 1 petaFLOP of AI performance 🧠 128 GB coherent unified system memory It’s more than a workstation - it’s... show more

NVIDIA Healthcare

17,695 subscribers

13,614 просмотров • 1 год назад •via X (Twitter)

Здоровье и велнес Наука и технологии Образование

Anya Rossi• Live Now

Private livecam show

Комментарии: 6

Фото профиля NVIDIA Healthcare

NVIDIA Healthcare1 год назад

Get notified ➡️

Фото профиля Kolli Sarath

Kolli Sarath1 год назад

@AllThingsApx @grok what’s the price of this ?

Фото профиля Cashflow Flywheel

Cashflow Flywheel1 год назад

@Aubrai_

Фото профиля sciqst

sciqst1 год назад

Impressive advances in bringing protein structure prediction to local devices, but how does this compare with cloud-based solutions in terms of accessibility and cost? And can smaller research labs gain cost-effective access to this technology? #AI #Medicine For those exploring deeper into biomedical research and its tools, check out single go-to platform for generating comprehensive biomedical reviews and finding answers to all your questions.

Фото профиля Ian Anderson

Ian Anderson1 год назад

kudos to whoever does your ad targeting.

Фото профиля VibeCodeTeddy

VibeCodeTeddy1 год назад

Impressive specs. Is this going to be affordable for indie researchers?

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From rockets to AI. Nine years after the original NVIDIA DGX-1 handoff, Jensen Huang delivered a brand-new DGX Spark to Elon Musk at Starbase. 🚀✨ The DGX Spark is a petaflop powerhouse built for creators, researchers, and developers — a desktop-sized supercomputer with five times the performance of the first DGX-1. Filmed at SpaceX’s rocket factory in Texas, this moment captures a conversation between the two visionariesI. ➡️ 📹 #SparkSomethingBig

NVIDIA

3,160,581 просмотров • 11 месяцев назад

.NVIDIA AI kindly sent me a DGX Spark! As soon as I got back from SF, I unboxed it and wanted to share a first look with you. It measures just 15 × 15 × 5.05 cm and weighs 1.2 kg. Inside: • NVIDIA GB10 Grace Blackwell Superchip • 128 GB of unified memory shared by the CPU and GPU • Up to 1 petaflop of theoretical AI compute at FP4 precision with sparsity According to NVIDIA, this little machine can run models with up to 200 billion parameters locally with suitable quantization, and fine-tune models with up to 70 billion parameters using memory-efficient methods such as QLoRA. You can use it to fine-tune models on your own data, customize image generation, and build AI assistants that run locally. I’m looking forward to trying some of those workflows myself. Thanks again to the NVIDIA team for sending this over (NVIDIA RTX Spark)! Once I’m back home, I’ll record some hands-on demos of interesting use cases and share what I learn with you.

.NVIDIA AI kindly sent me a DGX Spark! As soon as I got back from SF, I unboxed it and wanted to share a first look with you. It measures just 15 × 15 × 5.05 cm and weighs 1.2 kg. Inside: • NVIDIA GB10 Grace Blackwell Superchip • 128 GB of unified memory shared by the CPU and GPU • Up to 1 petaflop of theoretical AI compute at FP4 precision with sparsity According to NVIDIA, this little machine can run models with up to 200 billion parameters locally with suitable quantization, and fine-tune models with up to 70 billion parameters using memory-efficient methods such as QLoRA. You can use it to fine-tune models on your own data, customize image generation, and build AI assistants that run locally. I’m looking forward to trying some of those workflows myself. Thanks again to the NVIDIA team for sending this over (NVIDIA RTX Spark)! Once I’m back home, I’ll record some hands-on demos of interesting use cases and share what I learn with you.

Chubby♨️

130,358 просмотров • 12 дней назад

Big day for Windows with Microsoft and NVIDIA announcing the next generation of Windows PCs powered by NVIDIA RTX Spark. These devices bring together performance, efficiency, graphics, and on-device AI in thin-and-light designs that make powerful experiences feel faster. RTX Spark delivers 1 petaflop of AI performance, industry-leading performance-per-watt, full stack NVIDIA AI and RTX graphics technology, and up to 128GB of unified memory. And the new Surface Laptop Ultra shows what happens when that power is thoughtfully applied. Creators and developers can move faster, push further, and build richer experiences locally on Windows, without compromise.

Big day for Windows with Microsoft and NVIDIA announcing the next generation of Windows PCs powered by NVIDIA RTX Spark. These devices bring together performance, efficiency, graphics, and on-device AI in thin-and-light designs that make powerful experiences feel faster. RTX Spark delivers 1 petaflop of AI performance, industry-leading performance-per-watt, full stack NVIDIA AI and RTX graphics technology, and up to 128GB of unified memory. And the new Surface Laptop Ultra shows what happens when that power is thoughtfully applied. Creators and developers can move faster, push further, and build richer experiences locally on Windows, without compromise.

Yusuf Mehdi

14,563 просмотров • 4 месяцев назад

You can just put a full AI supercomputer in ur pocket and it will print you money.. Nvidia dropped the DGX Spark Your personal desk-sized beast that turns any idea into cash while normies beg for API credits. This tiny Blackwell-powered monster delivers: - 1 petaFLOP of AI performance, - 128GB unified memory. - And runs 200B parameter models locally. No cloud bills. No throttling. Full control. Endless ideas, endless money. I know a guy with this thing who builds 10 faceless YT channels empires while you're still prompting ChatGPT like a peasant. Most will watch the short and stay broke. The dangerous ones are ordering theirs right now and stacking quiet wealth. Hit that follow button right now. I drop daily alpha on AI automation, faceless cash machines and the real money printer setups normies will never see. You in or ngmi?

You can just put a full AI supercomputer in ur pocket and it will print you money.. Nvidia dropped the DGX Spark Your personal desk-sized beast that turns any idea into cash while normies beg for API credits. This tiny Blackwell-powered monster delivers: - 1 petaFLOP of AI performance, - 128GB unified memory. - And runs 200B parameter models locally. No cloud bills. No throttling. Full control. Endless ideas, endless money. I know a guy with this thing who builds 10 faceless YT channels empires while you're still prompting ChatGPT like a peasant. Most will watch the short and stay broke. The dangerous ones are ordering theirs right now and stacking quiet wealth. Hit that follow button right now. I drop daily alpha on AI automation, faceless cash machines and the real money printer setups normies will never see. You in or ngmi?

Frogify

155,216 просмотров • 4 месяцев назад

First hands-on with Microsoft’s new Surface Laptop Ultra. Microsoft is clearly positioning this as a new class of creator and AI laptop, powered by new NVIDIA silicon with an RTX GPU built for local AI, creative workflows, and gaming. A few standout specs: -New NVIDIA chip with RTX GPU -Up to 1 petaflop of AI compute -Up to 128GB unified memory -15-inch mini-LED PixelSense Ultra touchscreen -3:2 aspect ratio -262 PPI -Up to 2,000 nits peak HDR brightness -Less than 18mm thick

First hands-on with Microsoft’s new Surface Laptop Ultra. Microsoft is clearly positioning this as a new class of creator and AI laptop, powered by new NVIDIA silicon with an RTX GPU built for local AI, creative workflows, and gaming. A few standout specs: -New NVIDIA chip with RTX GPU -Up to 1 petaflop of AI compute -Up to 128GB unified memory -15-inch mini-LED PixelSense Ultra touchscreen -3:2 aspect ratio -262 PPI -Up to 2,000 nits peak HDR brightness -Less than 18mm thick

Chubby♨️

65,993 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

This is where it all started. 🚀 Ten years ago at #NVIDIAGTC, the journey of #NVIDIADGX began with our CEO Jensen Huang's announcement of DGX-1, the world’s first AI supercomputer. What started as a single system has since evolved into the universal blueprint for modern AI factories. Relive this momentous beginning and explore where the next decade of AI discovery will take us. Add DGX sessions to your GTC schedule now: #DecadeOfDGX

This is where it all started. 🚀 Ten years ago at #NVIDIAGTC, the journey of #NVIDIADGX began with our CEO Jensen Huang's announcement of DGX-1, the world’s first AI supercomputer. What started as a single system has since evolved into the universal blueprint for modern AI factories. Relive this momentous beginning and explore where the next decade of AI discovery will take us. Add DGX sessions to your GTC schedule now: #DecadeOfDGX

NVIDIA

34,003 просмотров • 7 месяцев назад

Unsloth AI and NVIDIA are Revolutionizing Local LLM Fine-Tuning: From RTX Desktops to DGX Spark Fine-tune popular AI models faster with Unsloth on NVIDIA RTX AI PCs such as GeForce RTX desktops and laptops to RTX PRO workstations and the new DGX Spark to build personalized assistants for coding, creative work, and complex agentic workflows. The landscape of modern AI is shifting. We are moving away from a total reliance on massive, generalized cloud models and entering the era of local, agentic AI. Whether it is tuning a chatbot to handle hyper-specific product support or building a personal assistant that manages intricate schedules, the potential for generative AI on local hardware is boundless. However, developers face a persistent bottleneck: How do you get a Small Language Model (SLM) to punch above its weight class and respond with high accuracy for specialized tasks? The answer is Fine-Tuning, and the tool of choice is Unsloth. Unsloth provides an easy and high-speed method to customize models. Optimized for efficient, low-memory training on NVIDIA GPUs, Unsloth scales effortlessly from GeForce RTX desktops and laptop all the way to the DGX Spark, the world’s smallest AI supercomputer...... Full analysis: NVIDIA NVIDIA AI NVIDIA AIDev NVIDIAnewsroom Unsloth AI Unsloth

Unsloth AI and NVIDIA are Revolutionizing Local LLM Fine-Tuning: From RTX Desktops to DGX Spark Fine-tune popular AI models faster with Unsloth on NVIDIA RTX AI PCs such as GeForce RTX desktops and laptops to RTX PRO workstations and the new DGX Spark to build personalized assistants for coding, creative work, and complex agentic workflows. The landscape of modern AI is shifting. We are moving away from a total reliance on massive, generalized cloud models and entering the era of local, agentic AI. Whether it is tuning a chatbot to handle hyper-specific product support or building a personal assistant that manages intricate schedules, the potential for generative AI on local hardware is boundless. However, developers face a persistent bottleneck: How do you get a Small Language Model (SLM) to punch above its weight class and respond with high accuracy for specialized tasks? The answer is Fine-Tuning, and the tool of choice is Unsloth. Unsloth provides an easy and high-speed method to customize models. Optimized for efficient, low-memory training on NVIDIA GPUs, Unsloth scales effortlessly from GeForce RTX desktops and laptop all the way to the DGX Spark, the world’s smallest AI supercomputer...... Full analysis: NVIDIA NVIDIA AI NVIDIA AIDev NVIDIAnewsroom Unsloth AI Unsloth

Marktechpost AI Dev News ⚡

31,551 просмотров • 9 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 • 4 месяцев назад

Nvidia announces the new RTX Spark, a new platform powered by the NX1 CPU, and shows off Spark laptops running 007 First Light and Forza 6. The CPU has 20 ARM based cores and a Blackwell RTX GPU with 6144 CUDA Cores. This is the same core count as a 5070, but with 128GB of unified LPDDR5X RAM memory sitting in the same package as the CPU and GPU. The entire Nvidia software stack is available, particularly CUDA, vital for AI. Nvidia's new laptops will likely be ideal for running local LLMs be cause the unified memory means you can load models up to 120-180B parameters (quantized). These laptops are expected to ship later this year and could become strong competitors to high-end MacBooks and even Mac Studios for local AI workloads, thanks to CUDA support and unified memory. Price is unannounced.

Nvidia announces the new RTX Spark, a new platform powered by the NX1 CPU, and shows off Spark laptops running 007 First Light and Forza 6. The CPU has 20 ARM based cores and a Blackwell RTX GPU with 6144 CUDA Cores. This is the same core count as a 5070, but with 128GB of unified LPDDR5X RAM memory sitting in the same package as the CPU and GPU. The entire Nvidia software stack is available, particularly CUDA, vital for AI. Nvidia's new laptops will likely be ideal for running local LLMs be cause the unified memory means you can load models up to 120-180B parameters (quantized). These laptops are expected to ship later this year and could become strong competitors to high-end MacBooks and even Mac Studios for local AI workloads, thanks to CUDA support and unified memory. Price is unannounced.

Grummz

30,573 просмотров • 4 месяцев назад

NVIDIA JUST FEATURED HERMES AGENT AT COMPUTEX 2026. Hermes is integrating with NVIDIA OpenShell and Microsoft security primitives for secure on-device agents on Windows. Dillon Rolnick, CEO of Nous Research: "RTX Spark and NVIDIA OpenShell give Hermes users a powerful and secure environment for agents to run and work alongside you. You realize you're buying a full-fledged assistant, not a typical laptop." RTX Spark specs: → 1 petaflop AI performance → 20-core Grace CPU (built with MediaTek) → Blackwell GPU, 6,144 CUDA cores → 5th gen Tensor Cores with FP4 precision → up to 128GB LPDDR5X unified memory, 300 GB/s → NVLink C2C chip-to-chip interconnect → runs 120B parameter LLMs locally → up to 1M token context window on device → 2x inference speed via multi-token prediction RTX Spark devices ship Fall 2026 from ASUS, Dell, HP, Lenovo, Microsoft Surface, MSI. full NVIDIA press release in the comments. full Hermes setup guide in the article 👇

NVIDIA JUST FEATURED HERMES AGENT AT COMPUTEX 2026. Hermes is integrating with NVIDIA OpenShell and Microsoft security primitives for secure on-device agents on Windows. Dillon Rolnick, CEO of Nous Research: "RTX Spark and NVIDIA OpenShell give Hermes users a powerful and secure environment for agents to run and work alongside you. You realize you're buying a full-fledged assistant, not a typical laptop." RTX Spark specs: → 1 petaflop AI performance → 20-core Grace CPU (built with MediaTek) → Blackwell GPU, 6,144 CUDA cores → 5th gen Tensor Cores with FP4 precision → up to 128GB LPDDR5X unified memory, 300 GB/s → NVLink C2C chip-to-chip interconnect → runs 120B parameter LLMs locally → up to 1M token context window on device → 2x inference speed via multi-token prediction RTX Spark devices ship Fall 2026 from ASUS, Dell, HP, Lenovo, Microsoft Surface, MSI. full NVIDIA press release in the comments. full Hermes setup guide in the article 👇

YanXbt

45,924 просмотров • 4 месяцев назад

One of the world’s most powerful mobile workstations is here. I’ve been traveling with it, and I absolutely love it. Today, HP and AMD are putting the power of Personal AI into the professional workstation, wherever ideas take you. Powered by Gorgon Halo, the new HP ZBook Ultra G3a 16” delivers extraordinary AI performance in a beautifully designed, stunningly thin and light mobile workstation. With up to 192GB of unified memory, it can run models up to 300 billion parameters locally. For years, extraordinary AI power has lived in the data center. Now, that power is becoming personal. Explore bigger ideas. Solve harder problems. Bring your most ambitious ideas to life.

One of the world’s most powerful mobile workstations is here. I’ve been traveling with it, and I absolutely love it. Today, HP and AMD are putting the power of Personal AI into the professional workstation, wherever ideas take you. Powered by Gorgon Halo, the new HP ZBook Ultra G3a 16” delivers extraordinary AI performance in a beautifully designed, stunningly thin and light mobile workstation. With up to 192GB of unified memory, it can run models up to 300 billion parameters locally. For years, extraordinary AI power has lived in the data center. Now, that power is becoming personal. Explore bigger ideas. Solve harder problems. Bring your most ambitious ideas to life.

Jack Huynh

70,364 просмотров • 19 дней назад

💥AI is no longer confined to the cloud. At Computex, Jack Huynh showcased the AMD Ryzen AI Halo and Ryzen AI Max PRO 400 Series processors. The next wave of innovation will be built, trained, and run locally. As AI evolves from chatbots to intelligent agents, developers and enterprises need the performance, memory capacity, and flexibility to bring these experiences to life directly on the device. ⚡ Ryzen AI Halo enables local AI development with support for models up to 200B parameters, up to 128GB of unified memory, ROCm optimization, and Windows + Linux support. ⚡ Ryzen AI Max PRO 400 Series combines AI, graphics, and compute in a single architecture, delivering workstation-class performance for next-gen Agent Computers and AI PCs. Some of the most impactful AI experiences will happen right at your desk, where latency, privacy, and control matter most. We're just getting started.

💥AI is no longer confined to the cloud. At Computex, Jack Huynh showcased the AMD Ryzen AI Halo and Ryzen AI Max PRO 400 Series processors. The next wave of innovation will be built, trained, and run locally. As AI evolves from chatbots to intelligent agents, developers and enterprises need the performance, memory capacity, and flexibility to bring these experiences to life directly on the device. ⚡ Ryzen AI Halo enables local AI development with support for models up to 200B parameters, up to 128GB of unified memory, ROCm optimization, and Windows + Linux support. ⚡ Ryzen AI Max PRO 400 Series combines AI, graphics, and compute in a single architecture, delivering workstation-class performance for next-gen Agent Computers and AI PCs. Some of the most impactful AI experiences will happen right at your desk, where latency, privacy, and control matter most. We're just getting started.

AMD

24,416 просмотров • 4 месяцев назад

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AORUS

13,878 просмотров • 1 год назад

BREAKING $AMD is ready to ship Ryzen AI Halo 🆕 in June 2026!!!! 🚀🚀🚀 AKA Personal/Local AI system. Ryzen AI Max+ 395 (Strix Halo APU) with 128 GB of unified LPDDR5X memory, 40 RDNA 3.5 GPU compute units, and a full ROCm software stack preloaded for both Windows and Linux. AMD Halo is $2,000-$3,000 vs $NVDA Spark $4,699 The main purpose of the AMD Ryzen AI Halo is to serve as a compact, developer focused workstation for running intensive AI workloads locally, specifically building, testing, prototyping, fine-tuning, and deploying generative AI models (like LLMs) and Agentic AI applications without relying on the cloud. Run models with up to 200 billion parameters on your desk using 128 GB of unified memory (shared across CPU, GPU, and NPU). This eliminates cloud costs, latency, data privacy concerns, and internet dependency. ~This is for AI developers, researchers, engineers, and creators. ~Teams or individuals wanting faster iteration, data privacy, and cost savings compared to cloud APIs. ~Users experimenting with open-source models, fine-tuning, inference, and production-like local deployment Source: AMD CES 2026

BREAKING $AMD is ready to ship Ryzen AI Halo 🆕 in June 2026!!!! 🚀🚀🚀 AKA Personal/Local AI system. Ryzen AI Max+ 395 (Strix Halo APU) with 128 GB of unified LPDDR5X memory, 40 RDNA 3.5 GPU compute units, and a full ROCm software stack preloaded for both Windows and Linux. AMD Halo is $2,000-$3,000 vs $NVDA Spark $4,699 The main purpose of the AMD Ryzen AI Halo is to serve as a compact, developer focused workstation for running intensive AI workloads locally, specifically building, testing, prototyping, fine-tuning, and deploying generative AI models (like LLMs) and Agentic AI applications without relying on the cloud. Run models with up to 200 billion parameters on your desk using 128 GB of unified memory (shared across CPU, GPU, and NPU). This eliminates cloud costs, latency, data privacy concerns, and internet dependency. ~This is for AI developers, researchers, engineers, and creators. ~Teams or individuals wanting faster iteration, data privacy, and cost savings compared to cloud APIs. ~Users experimenting with open-source models, fine-tuning, inference, and production-like local deployment Source: AMD CES 2026

Mike

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GT Protocol AI Digest No.82: AI Starts Running the System Here are five stories worth your attention 👇 💻 NVIDIA Pushes AI to Your Device NVIDIA showcased RTX PCs and DGX systems that can run AI models and agents locally. The shift is important. AI is no longer tied to the cloud, it is moving directly onto user devices. 🧠 Gemini Becomes Personal Google is rolling out personalized Gemini across the US. The assistant adapts to your context and activity, turning AI from a generic tool into a persistent, tailored system. 🎨 Adobe Lets You Train Your Own AI Adobe now allows users to train Firefly models on their own artwork. This gives creators more control over style, but also raises new questions around ownership and dataset boundaries. ⚡️ Smaller GPT-5.4 Models Go Wide OpenAI introduced GPT-5.4 mini and nano, optimized for efficiency and broader deployment. Strong models are no longer limited to heavy infrastructure. 💳 Visa Prepares for AI Payments Visa is building systems for transactions initiated by AI agents. This moves AI beyond interfaces and into real economic activity. Read the full digest on our Medium 👉

GT Protocol AI Digest No.82: AI Starts Running the System Here are five stories worth your attention 👇 💻 NVIDIA Pushes AI to Your Device NVIDIA showcased RTX PCs and DGX systems that can run AI models and agents locally. The shift is important. AI is no longer tied to the cloud, it is moving directly onto user devices. 🧠 Gemini Becomes Personal Google is rolling out personalized Gemini across the US. The assistant adapts to your context and activity, turning AI from a generic tool into a persistent, tailored system. 🎨 Adobe Lets You Train Your Own AI Adobe now allows users to train Firefly models on their own artwork. This gives creators more control over style, but also raises new questions around ownership and dataset boundaries. ⚡️ Smaller GPT-5.4 Models Go Wide OpenAI introduced GPT-5.4 mini and nano, optimized for efficiency and broader deployment. Strong models are no longer limited to heavy infrastructure. 💳 Visa Prepares for AI Payments Visa is building systems for transactions initiated by AI agents. This moves AI beyond interfaces and into real economic activity. Read the full digest on our Medium 👉

GT Protocol

40,085 просмотров • 6 месяцев назад

We’re proud to present our latest creation, a bold reflection of our #mission and #vision. At the heart of everything we do lies a commitment to clean energy, intelligent infrastructure, and a future shaped by #nature. But this isn’t just about #energy. It’s about laying the foundation for a new digital era. One where #blockchain, #AI, and green infrastructure work in harmony. This is more than technology. It’s purpose. It’s progress. It’s tomorrow.

We’re proud to present our latest creation, a bold reflection of our #mission and #vision. At the heart of everything we do lies a commitment to clean energy, intelligent infrastructure, and a future shaped by #nature. But this isn’t just about #energy. It’s about laying the foundation for a new digital era. One where #blockchain, #AI, and green infrastructure work in harmony. This is more than technology. It’s purpose. It’s progress. It’s tomorrow.

Hearst

19,193 просмотров • 1 год назад

Your powerful workstation doesn’t have to stay with you. With AweSun Remote Desktop, you can access and control your main PC from anywhere — check your work, manage apps, access files, and keep your workflow moving remotely. For AI creators, AweSun MCP adds an extra layer of AI-powered capability. 📷 Get 1 month of AweSun MCP access free: 📷 Download AweSun Remote Desktop: AweSun also offers a free version with no commercial-use restrictions. If you need more advanced features, use code 【LISA20】 to get an extra 20% off across all AweSun plans. #AweSun #RemoteDesktop #AI #AIWorkflow

Your powerful workstation doesn’t have to stay with you. With AweSun Remote Desktop, you can access and control your main PC from anywhere — check your work, manage apps, access files, and keep your workflow moving remotely. For AI creators, AweSun MCP adds an extra layer of AI-powered capability. 📷 Get 1 month of AweSun MCP access free: 📷 Download AweSun Remote Desktop: AweSun also offers a free version with no commercial-use restrictions. If you need more advanced features, use code 【LISA20】 to get an extra 20% off across all AweSun plans. #AweSun #RemoteDesktop #AI #AIWorkflow

Lisa Rodin

26,192 просмотров • 23 дней назад