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Jensen just unveiled the new NVIDIA Jetson Orin Nano Super, optimized for on-device AI processing in robots, boasting 70 trillion operations (INT8) per second, 102GB/s memory bandwidth, 25 watts power consumption, and a price of $249.

The Humanoid Hub

112,667 subscribers

194,258 просмотров • 1 год назад •via X (Twitter)

Наука и технологии

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Комментарии: 10

Фото профиля Michael

Michael1 год назад

FUCK I JUST BOUGHT A ORIN NANO FOR $600 FUUUUUUUUUUCKKKKKKKK

Фото профиля The Humanoid Hub

The Humanoid Hub1 год назад

probably has 30 day return policy?

Фото профиля Professor Oak 🍎 🌳

Professor Oak 🍎 🌳1 год назад

He pulled it out of the oven because they were cooking 🍳

Фото профиля Dorime

Dorime1 год назад

what ai models can it run?

Фото профиля The Humanoid Hub

The Humanoid Hub1 год назад

8GB RAM

Фото профиля LivedExperienceAI

LivedExperienceAI1 год назад

NVIDIA's $249 Jetson Orin Nano Super Developer Kit - not just affordable AI hardware, but a fundamental shift in edge computing. - it enables AI deployment in places previously impossible (due to cost or power constraints) - democratized access to AI development - potential: emergence of a new ecosystem where sophisticated AI runs locally on compact devices. --> could transform everything from robotics to smart infrastructure + solve the growing problem of AI's power consumption (given energy consumption issues). Advanced AI capabilities in more hands at a fraction of traditional costs --> NVIDIA sells hardware + accelerating the transition to ubiquitous edge AI.

Фото профиля Vedant Nair

Vedant Nair1 год назад

Better cheaper and faster🦾🦾. Huangs law

Фото профиля Doddi El-Gabry

Doddi El-Gabry1 год назад

Brb investing in literally all the robotics /humanoid companies

Фото профиля Diego

Diego1 год назад

Best $/watt SOTA on-device inference👇 Jetson ONS: 70 TOPS, 25 Watts PP, 102 GB/s, $249  M4 mini ANE: 38 TOPS, 20 Watts PP, 120 GB/s, $599 Jetson ONS is a beast!

Фото профиля Peter Liddle

Peter Liddle1 год назад

I want this but one i can stick like 256GB of DDR5 memory on the board.

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🚨 NVIDIA Introduces Jetson Nano Super > compact AI computer capable of 70-T operations per second > designed for robotics, it supports advanced models, including LLMs, and costs $249

🚨 NVIDIA Introduces Jetson Nano Super > compact AI computer capable of 70-T operations per second > designed for robotics, it supports advanced models, including LLMs, and costs $249

Haider.

3,424,963 просмотров • 1 год назад

NVIDIA is getting crazier. They just dropped a tiny AI supercomputer, built for robotics and LLMs, capable of 70 trillion operations per second. For $249. Game over.

NVIDIA is getting crazier. They just dropped a tiny AI supercomputer, built for robotics and LLMs, capable of 70 trillion operations per second. For $249. Game over.

el.cine

3,946,418 просмотров • 1 год назад

WOW, big news from NVIDIA 🔥 They just launches Jetson Orin Nano Super Developer Kit at $249, delivering 67 TOPS (Trillion Operations per second) of AI performance - a 70% boost over previous version through enhanced GPU, memory, and CPU clocks. → The kit packs an Ampere architecture GPU with 1024 CUDA cores, 32 tensor cores, and a 6-core ARM CPU, targeted at edge AI development and robotics applications. → Developers can achieve the performance boost through a software upgrade, making advanced AI capabilities more accessible for hobbyists and makers. 🔧 Key Highlights → Hardware specifications showcase serious edge computing muscle Features an Ampere GPU with 1024 CUDA cores and 32 tensor cores. The 6-core ARM Cortex-A78AE CPU paired with 8GB LPDDR5 memory delivers 102GB/s bandwidth. → The $249 price point makes advanced AI development accessible. Existing Jetson Orin Nano users can unlock the performance boost through a software update. → Comprehensive connectivity options enable diverse applications Two MIPI CSI-2 camera connectors, multiple USB 3.2 ports, and PCIe expansion slots provide flexibility for various sensors and peripherals. → Robust software ecosystem support Comes with NVIDIA's AI stack including Isaac for robotics, Metropolis for vision AI, and Holoscan for sensor processing. Supports TAO Toolkit for model fine-tuning. NVIDIA AI Developer

WOW, big news from NVIDIA 🔥 They just launches Jetson Orin Nano Super Developer Kit at $249, delivering 67 TOPS (Trillion Operations per second) of AI performance - a 70% boost over previous version through enhanced GPU, memory, and CPU clocks. → The kit packs an Ampere architecture GPU with 1024 CUDA cores, 32 tensor cores, and a 6-core ARM CPU, targeted at edge AI development and robotics applications. → Developers can achieve the performance boost through a software upgrade, making advanced AI capabilities more accessible for hobbyists and makers. 🔧 Key Highlights → Hardware specifications showcase serious edge computing muscle Features an Ampere GPU with 1024 CUDA cores and 32 tensor cores. The 6-core ARM Cortex-A78AE CPU paired with 8GB LPDDR5 memory delivers 102GB/s bandwidth. → The $249 price point makes advanced AI development accessible. Existing Jetson Orin Nano users can unlock the performance boost through a software update. → Comprehensive connectivity options enable diverse applications Two MIPI CSI-2 camera connectors, multiple USB 3.2 ports, and PCIe expansion slots provide flexibility for various sensors and peripherals. → Robust software ecosystem support Comes with NVIDIA's AI stack including Isaac for robotics, Metropolis for vision AI, and Holoscan for sensor processing. Supports TAO Toolkit for model fine-tuning. NVIDIA AI Developer

Rohan Paul

24,713 просмотров • 1 год назад

JENSEN HUANG PULLED THE NEW $249 JETSON OUT OF AN OVEN ON CAMERA AND SAID HE "COOKED IT TOO LONG, IT SHRUNK". THEN HE READ THE SPECS. 70 trillion ai operations per second. 25 watts. $249. runs everything the hgx systems run, large language models included. the joke is the box came out of an oven. the real joke is the chip inside. last year an h100 cost $30,000 and lived in a datacenter. now a board the size of a wallet pulls 25 watts under load and runs llama 7b in your kitchen. the ceo of the most valuable company on earth just demoed the death of the ai subscription on a baking tray. every dollar paid to chatgpt plus from january forward is a vote against the kitchen.

JENSEN HUANG PULLED THE NEW $249 JETSON OUT OF AN OVEN ON CAMERA AND SAID HE "COOKED IT TOO LONG, IT SHRUNK". THEN HE READ THE SPECS. 70 trillion ai operations per second. 25 watts. $249. runs everything the hgx systems run, large language models included. the joke is the box came out of an oven. the real joke is the chip inside. last year an h100 cost $30,000 and lived in a datacenter. now a board the size of a wallet pulls 25 watts under load and runs llama 7b in your kitchen. the ceo of the most valuable company on earth just demoed the death of the ai subscription on a baking tray. every dollar paid to chatgpt plus from january forward is a vote against the kitchen.

belorix

254,191 просмотров • 2 месяцев назад

JENSEN HUANG TOLD STANFORD THAT CLOUD AI WILL NEED 1,000 TIMES MORE ENERGY. THE $249 BOX HE BUILT FOR YOUR DESK USES 25 WATTS AND REPLACES A $200/MONTH AI STACK someone posted a 26 year old imac in airplane mode running a modern ai model with no internet. 1.7 million views in 24 hours. the same thing runs on a $249 box from nvidia the jetson orin nano super pulls 7-25 watts and does 67 trillion ai operations per second. llama 3, mistral and deepseek run locally with no api fees and no data leaving your machine most developers pay $2,400 a year across chatgpt, openai api, claude pro and cursor. the jetson costs $314 in year one and $60 a year after. 2 year savings hit $4,431 install ollama with one command, change one line of code to point at localhost, and every tool built for openai works identically. zero rewrites, zero rate limits cloud subscriptions keep getting more expensive and rate limits keep getting tighter. the people who own the box in 2026 are going to look very far ahead in 2028 bookmark this and read the article below

JENSEN HUANG TOLD STANFORD THAT CLOUD AI WILL NEED 1,000 TIMES MORE ENERGY. THE $249 BOX HE BUILT FOR YOUR DESK USES 25 WATTS AND REPLACES A $200/MONTH AI STACK someone posted a 26 year old imac in airplane mode running a modern ai model with no internet. 1.7 million views in 24 hours. the same thing runs on a $249 box from nvidia the jetson orin nano super pulls 7-25 watts and does 67 trillion ai operations per second. llama 3, mistral and deepseek run locally with no api fees and no data leaving your machine most developers pay $2,400 a year across chatgpt, openai api, claude pro and cursor. the jetson costs $314 in year one and $60 a year after. 2 year savings hit $4,431 install ollama with one command, change one line of code to point at localhost, and every tool built for openai works identically. zero rewrites, zero rate limits cloud subscriptions keep getting more expensive and rate limits keep getting tighter. the people who own the box in 2026 are going to look very far ahead in 2028 bookmark this and read the article below

starmex

15,822 просмотров • 3 месяцев назад

芯片大战才刚开始？昨天预告博通(AVGO)股价涨不动了，但英伟达(NVDA)又取得重大进展。首席执行官黄仁勋，推出新的AI超级开发套件Jetson Orin Nano Super，它以249美元的价格提供67 TOPS的AI性能。相比之下，最初的Jetson Nano仅提供0.5 TOPS，售价99美元。这意味着性价比提高了53倍，性能提高了134倍。 The chip war has just begun. Nvidia $NVDA has made a significant leap forward. CEO Jensen Huang introduced the new AI super developer kit, the Jetson Orin Nano Super, which delivers 67 TOPS of AI performance for $249. In contrast, the original Jetson Nano offered only 0.5 TOPS at $99. This represents a 53x improvement in the price-to-compute ratio and 134x the performance.

芯片大战才刚开始？昨天预告博通(AVGO)股价涨不动了，但英伟达(NVDA)又取得重大进展。首席执行官黄仁勋，推出新的AI超级开发套件Jetson Orin Nano Super，它以249美元的价格提供67 TOPS的AI性能。相比之下，最初的Jetson Nano仅提供0.5 TOPS，售价99美元。这意味着性价比提高了53倍，性能提高了134倍。 The chip war has just begun. Nvidia $NVDA has made a significant leap forward. CEO Jensen Huang introduced the new AI super developer kit, the Jetson Orin Nano Super, which delivers 67 TOPS of AI performance for $249. In contrast, the original Jetson Nano offered only 0.5 TOPS at $99. This represents a 53x improvement in the price-to-compute ratio and 134x the performance.

亚洲金融 Asia Finance

78,649 просмотров • 1 год назад

NVIDIA SHIPS A 50 POUND AI BOARD FOR DATA CENTERS AND A $249 BOX FOR YOUR DESK. ONE COSTS $200/MONTH TO RENT, THE OTHER COSTS $5 IN ELECTRICITY TO OWN jensen huang held up a 50 pound a100 board on stage with 30,000 components and called it a technology marvel. that same technology now ships in a $249 box smaller than your wallet the jetson orin nano super pulls 7-25 watts and does 67 trillion ai operations per second. llama 3, mistral and deepseek run locally with no api fees and no data leaving your machine most developers pay $2,400 a year across chatgpt, openai api, claude pro and cursor. the jetson costs $314 in year one and $60 a year after. 2 year savings hit $4,431 install ollama with one command, change one line of code to point at localhost, and every tool built for openai works identically. zero rewrites, zero rate limits cloud subscriptions keep getting more expensive and rate limits keep getting tighter. the people who own the box in 2026 are going to look very far ahead in 2028 bookmark this and read the article below

NVIDIA SHIPS A 50 POUND AI BOARD FOR DATA CENTERS AND A $249 BOX FOR YOUR DESK. ONE COSTS $200/MONTH TO RENT, THE OTHER COSTS $5 IN ELECTRICITY TO OWN jensen huang held up a 50 pound a100 board on stage with 30,000 components and called it a technology marvel. that same technology now ships in a $249 box smaller than your wallet the jetson orin nano super pulls 7-25 watts and does 67 trillion ai operations per second. llama 3, mistral and deepseek run locally with no api fees and no data leaving your machine most developers pay $2,400 a year across chatgpt, openai api, claude pro and cursor. the jetson costs $314 in year one and $60 a year after. 2 year savings hit $4,431 install ollama with one command, change one line of code to point at localhost, and every tool built for openai works identically. zero rewrites, zero rate limits cloud subscriptions keep getting more expensive and rate limits keep getting tighter. the people who own the box in 2026 are going to look very far ahead in 2028 bookmark this and read the article below

starmex

24,107 просмотров • 3 месяцев назад

JENSEN HUANG PUT 1 PETAFLOP AND 128GB OF GPU MEMORY IN A $150,000 BOX. THE $249 JETSON RUNS THE SAME MODELS AND CUTS A $200/MONTH AI BILL TO $2 IN ELECTRICITY the $249 jetson orin nano super runs llama 3, mistral and deepseek locally at 67 trillion operations per second. zero api fees, zero data leaving your machine, $2 a month in electricity andrej karpathy says 99% of ai users are missing 7 basics that have nothing to do with the hardware. a proper config file, a /raw and /wiki folder, saved reference pages. the model stops guessing and starts helping most people pay $200 a month and still get bad output because the problem was never the model. it was the workflow around it. fix the system and a $249 box handles 80% of what you open chatgpt for the jetson breaks even in 6 weeks at $100/month api spend. after that every month is $98 back in your pocket. first year that's over $1,000 saved from a one-time $249 purchase the people building local ai infrastructure in 2026 with a proper workflow are going to look very far ahead in 2028 bookmark this and read the article below

JENSEN HUANG PUT 1 PETAFLOP AND 128GB OF GPU MEMORY IN A $150,000 BOX. THE $249 JETSON RUNS THE SAME MODELS AND CUTS A $200/MONTH AI BILL TO $2 IN ELECTRICITY the $249 jetson orin nano super runs llama 3, mistral and deepseek locally at 67 trillion operations per second. zero api fees, zero data leaving your machine, $2 a month in electricity andrej karpathy says 99% of ai users are missing 7 basics that have nothing to do with the hardware. a proper config file, a /raw and /wiki folder, saved reference pages. the model stops guessing and starts helping most people pay $200 a month and still get bad output because the problem was never the model. it was the workflow around it. fix the system and a $249 box handles 80% of what you open chatgpt for the jetson breaks even in 6 weeks at $100/month api spend. after that every month is $98 back in your pocket. first year that's over $1,000 saved from a one-time $249 purchase the people building local ai infrastructure in 2026 with a proper workflow are going to look very far ahead in 2028 bookmark this and read the article below

starmex

87,065 просмотров • 3 месяцев назад

Physical AI is the biggest opportunity most people are sleepwalking past. "Physical AI is a $50 trillion market." - Jensen at The All-In Podcast Robots. Autonomous vehicles. Embodied AI. The infrastructure to power all of it. Nvidia isn't just selling GPUs anymore. They're building the OS for the physical AI era.

Physical AI is the biggest opportunity most people are sleepwalking past. "Physical AI is a $50 trillion market." - Jensen at The All-In Podcast Robots. Autonomous vehicles. Embodied AI. The infrastructure to power all of it. Nvidia isn't just selling GPUs anymore. They're building the OS for the physical AI era.

Shruti

51,545 просмотров • 5 месяцев назад

JENSEN HUANG SOLD A $249 AI COMPUTER ON STAGE THAT KILLS YOUR $200/MONTH OPENAI BILL. THE VIDEO HAS 217,000 LIKES the box is called the jetson orin nano super. 70 trillion ai operations per second, 25 watts, smaller than a wallet. it runs llama 3, mistral, gemma and deepseek locally with no api fees and no data leaving your house a developer running automations and coding assistants pays $200 a month to openai. the same workload on this box costs $2 a month in electricity and breaks even on the hardware in 10 weeks you install ollama with one command. change one line in your code. point it at localhost instead of openai. everything else works identically 7 billion parameter models handle 80% of what people use chatgpt for. summarization, drafting, coding, document q&a, automation pipelines. the hard 20% you keep claude or gpt for. total monthly cost drops from $200 to $22 cloud subscriptions keep getting more expensive and rate limits keep getting tighter. the people who set this up in 2025 are going to look very smart in 2027 bookmark this and read the article below

JENSEN HUANG SOLD A $249 AI COMPUTER ON STAGE THAT KILLS YOUR $200/MONTH OPENAI BILL. THE VIDEO HAS 217,000 LIKES the box is called the jetson orin nano super. 70 trillion ai operations per second, 25 watts, smaller than a wallet. it runs llama 3, mistral, gemma and deepseek locally with no api fees and no data leaving your house a developer running automations and coding assistants pays $200 a month to openai. the same workload on this box costs $2 a month in electricity and breaks even on the hardware in 10 weeks you install ollama with one command. change one line in your code. point it at localhost instead of openai. everything else works identically 7 billion parameter models handle 80% of what people use chatgpt for. summarization, drafting, coding, document q&a, automation pipelines. the hard 20% you keep claude or gpt for. total monthly cost drops from $200 to $22 cloud subscriptions keep getting more expensive and rate limits keep getting tighter. the people who set this up in 2025 are going to look very smart in 2027 bookmark this and read the article below

starmex

1,998,810 просмотров • 3 месяцев назад

NVIDIA QUIETLY DROPPED A $249 BOX THAT REPLACES YOUR $200/MONTH OPENAI SUBSCRIPTION WITH $2 IN ELECTRICITY it's called the jetson orin nano super. smaller than a wallet, runs at 25 watts, does 70 trillion ai operations per second. runs llama 3, mistral, gemma and deepseek locally with no api fees and no data leaving your house a developer running automations and coding assistants pays $200 a month to openai. the same workload on this box costs $2 a month in electricity and breaks even in 10 weeks install ollama with one command. change one line in your code. point it at localhost instead of openai. everything else works identically 7 billion parameter models handle 80% of what people use chatgpt for. summarization, drafting, coding, document q&a, automation pipelines. total monthly cost drops from $200 to $22 cloud subscriptions keep getting more expensive and rate limits keep getting tighter. the people who set this up in 2025 are going to look very smart in 2027 bookmark this and read the article below

NVIDIA QUIETLY DROPPED A $249 BOX THAT REPLACES YOUR $200/MONTH OPENAI SUBSCRIPTION WITH $2 IN ELECTRICITY it's called the jetson orin nano super. smaller than a wallet, runs at 25 watts, does 70 trillion ai operations per second. runs llama 3, mistral, gemma and deepseek locally with no api fees and no data leaving your house a developer running automations and coding assistants pays $200 a month to openai. the same workload on this box costs $2 a month in electricity and breaks even in 10 weeks install ollama with one command. change one line in your code. point it at localhost instead of openai. everything else works identically 7 billion parameter models handle 80% of what people use chatgpt for. summarization, drafting, coding, document q&a, automation pipelines. total monthly cost drops from $200 to $22 cloud subscriptions keep getting more expensive and rate limits keep getting tighter. the people who set this up in 2025 are going to look very smart in 2027 bookmark this and read the article below

starmex

2,357,579 просмотров • 3 месяцев назад

Aetherflux is taking AI compute to orbit with NVIDIA to launch the new era of space innovation. This includes bringing the NVIDIA Space-1 Vera Rubin Module, IGX Thor, and Jetson Orin to space, powering geospatial intelligence and autonomous space operations for next-generation space missions. We are deploying advanced satellite constellations designed to act as high-performance hubs for AI compute in orbit.

Aetherflux is taking AI compute to orbit with NVIDIA to launch the new era of space innovation. This includes bringing the NVIDIA Space-1 Vera Rubin Module, IGX Thor, and Jetson Orin to space, powering geospatial intelligence and autonomous space operations for next-generation space missions. We are deploying advanced satellite constellations designed to act as high-performance hubs for AI compute in orbit.

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14,980 просмотров • 5 месяцев назад

Physical AI is here—the next wave of AI and the foundation of the next industrial revolution. NVIDIA founder and CEO Jensen Huang outlines the full stack making it possible: Cosmos and Omniverse to develop physical AI in virtual worlds, Isaac and Newton where robots learn skills in physics-simulated gyms, and Jetson robotics computers where their intelligence runs. Together with Japan’s robotics and manufacturing leaders, NVIDIA is creating a new era of industrial automation.

Physical AI is here—the next wave of AI and the foundation of the next industrial revolution. NVIDIA founder and CEO Jensen Huang outlines the full stack making it possible: Cosmos and Omniverse to develop physical AI in virtual worlds, Isaac and Newton where robots learn skills in physics-simulated gyms, and Jetson robotics computers where their intelligence runs. Together with Japan’s robotics and manufacturing leaders, NVIDIA is creating a new era of industrial automation.

NVIDIA

133,804 просмотров • 1 месяц назад

Nvidia CEO Jensen Huang predicts $1 trillion in annual spend on AI infrastructure by the end of the decade. This is the biggest boom in history. With the Trump administration enabling easier permitting and new power generation, it’s time to build!

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David Sacks

431,427 просмотров • 1 год назад

Elon on what happens when AI, humanoid robots and vehicle robots show up at scale: “the appetite for bandwidth will be much greater than it has been in the past” A human might put out a few hundred bits per second. Averaged over a day (86,400 seconds), it’s actually less than 1 bit per second Computers can do billions of bits per second, nonstop, 24 hours a day And this is where Starlink becomes incredibly important “Starlink is the only thing that can actually service that bandwidth”

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X Freeze

16,456 просмотров • 7 дней назад

The Beijing Humanoid Robot Innovation Center on Saturday unveiled the world’s first full-size humanoid robot, "Tiangong," which is entirely electrically powered, boasting a running speed of 6km per hour, and is poised for industrial applications. Standing at 1.63 meters tall and weighing 43 kilograms, "Tiangong" is equipped with state-of-the-art sensors, a high-precision Inertial Measurement Unit capable of 550 trillion operations per second, and 3D vision sensors.

The Beijing Humanoid Robot Innovation Center on Saturday unveiled the world’s first full-size humanoid robot, "Tiangong," which is entirely electrically powered, boasting a running speed of 6km per hour, and is poised for industrial applications. Standing at 1.63 meters tall and weighing 43 kilograms, "Tiangong" is equipped with state-of-the-art sensors, a high-precision Inertial Measurement Unit capable of 550 trillion operations per second, and 3D vision sensors.

Global Times

35,564 просмотров • 2 лет назад

Blue Origin's New Glenn rocket exploded on its launch pad during a routine test, and Nvidia CEO Jensen Huang unveiled an AI superchip for laptops and PCs in Taiwan. Here are the top tech and innovation stories from the week

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Reuters

19,214 просмотров • 3 месяцев назад

NVIDIA CEO JENSEN HUANG: THE AI APOCALYPSE NARRATIVE IS COMPLETE NONSENSE "it's computer and software. we make it better every year because we know exactly how it works" the real disruption is developers deploying local setups to out-produce entire teams: > hardware scale - from a $249 Jetson Orin Nano Super to a $2,999 DGX Spark with 128GB of unified memory > local inference - DGX Spark runs 70B-200B models on 1 PFLOP of throughput with zero cloud GPU rental costs > database privacy - redirecting Python API clients to Ollama takes one line of code to bypass subscription bills the people who configure local AI today are going to look very far ahead of the curve by 2027 read the setup guide below 👇

NVIDIA CEO JENSEN HUANG: THE AI APOCALYPSE NARRATIVE IS COMPLETE NONSENSE "it's computer and software. we make it better every year because we know exactly how it works" the real disruption is developers deploying local setups to out-produce entire teams: > hardware scale - from a $249 Jetson Orin Nano Super to a $2,999 DGX Spark with 128GB of unified memory > local inference - DGX Spark runs 70B-200B models on 1 PFLOP of throughput with zero cloud GPU rental costs > database privacy - redirecting Python API clients to Ollama takes one line of code to bypass subscription bills the people who configure local AI today are going to look very far ahead of the curve by 2027 read the setup guide below 👇

Mr. Buzzoni

15,201 просмотров • 2 месяцев назад