#IoTMed | Explore Tumblr posts and blogs

froggyphycosis · 8 months ago

Text

SCREAMS AT YOU VERY LOUDLY AND VERY HAPPILY THIS WAS SO SO SO SOS SO WONDERFUL SUCH A NICE PEICE OF CAKE ALSO ALSO

THESE THREE PARAGRAPHS WERE AMAMZING AND ALSO THE ONES WITH THE THE DESCRIPTIONS OF THE FEMALE NINJAS TOO THAT WAS ABSOLUETLY FANTASTIC LITTERALY POETRY WITH THE FIRE CUFFS AND EVERYTHING.

ITS BEEN FOREVER SINCE I'VE INTERACTED WITH ANYTHING TO DO WITH NINJAGO (EVEN THOUGH I LITTERALLY HAVE THEM AS MY BEDSHEETS) SO THIS WAS SO JOYOUS TO READ.

IM SO PROUD OF YOU FOR SHARING WELL DONE!! ��🧡

Numbing The Pain (or: everyone gets knocked unconscious :D) [Ninjago]

Soooo.... I kinda wrote a oneshot based on a headcannon by @jinxed-ninjago. I haven't really ever shown my writing to others, so we'll see how it goes. >:)

Cw: injuries, numbness, electrical injury and violence, uhhhhh... Overall angst?

In Jay’s opinion, being injured was less than preferable, for a number of reasons. Being stuck on bedrest every second of every day. Not being able to join the others for dinner as he listened to the laughter and joking echoing down the hall while he stared at the tray of food resting in his lap.

It wasn’t the other ninja’s fault he was lonely, he just really wished he didn’t have to stay in bed all the time. On the bright side though, he got to play video games all day, and he got out of the usual work to maintain the monastery. After all, nothing like the power of positive thinking!

It was a stupid injury. Why were legs so breakable?

They’d been training, like usual. He didn’t remember much, but he recalled being hit by something, then waking up to his leg in a cast and Cole apologizing profusely.

Apparently, Cole had accidentally lost control of his powers, and hit Jay with a boulder, causing him to land on top of Kai, unconscious.

He didn’t blame Cole though. He knew as well as anyone what it was like to lose control. It made him think of when they used to fight over Nya, as Cole had apologized. It was strange how far they’d come from that.

A sudden crash startled him out of his thoughts. More followed after that, banging and thudding and shouting. He heard the others rushing to meet the cacophony, and resisted the urge to leap out of bed and join them. They could handle it without him, and he’d (grudgingly) promised to stay put.

The sounds of fighting resounded through the room, and he grit his teeth. They’d be fine. He wondered what the heck was attacking them this time. The serpentine again? Nindroids? Maybe Garmadon had somehow come back again and was attacking? Some other random villain they’d never even heard of before? The questions raced through his mind like a river as he listened to the combat growing closer.

Abruptly, his thoughts were once again interrupted as Cole was thrown through the air, crashing against the wall beside him and crumpling as his yell broke off upon impact.

“COLE!!” Jay screamed as he slumped to the floor. “Hey, I already passed out this week! Don’t tell me you’re stealing my thunder,” he tried to mask his wrangled nerves with humor, but Cole didn’t answer.

“Oookay, so this is bad,” he mumbled to himself shakily as he considered his options. He could sit here and listen as the rest of his family was potentially defeated and/or hurt. He could try to help Cole (who hadn’t stirred yet but that was fine it’d be fine) somehow, without injuring himself more. Or, he could ignore his stupid broken leg and the pain that would undoubtedly follow, and go help them fight.

As he debated, Zane decided to join the party and hurtled into the room, landing on top of Cole. As his motion stilled, Jay gasped and held back a second scream as he took in the damage.

Half of Zane’s face looked as if it had been chewed on by a large, feral dog, ripped apart and unveiling the robotic parts underneath. One of his arms was missing, and there were open gouges displaying sparking circuits and wires, making sharp buzzing sounds. His eyes flickered as he spoke.

“S-system-m mal- mal-function- circuits-s ove-er loadd-ded-” his voice glitched before his eyes went dark and his body still.

Jay stared, open-mouthed, before he made a decision. Jolting upright, he leapt to his feet. Or at least tried to. As soon as any tension was put onto his foot, instant agony engulfed him, and he collapsed back onto the bed. Clenching his jaw tightly, he breathed through the pain as it slowly subsided the tiniest bit.

“C’mon Jay… You can do this!” he said, voice wavering, before trying again.

The pain was worse this time. His teeth grated against each other as his breathing became labored, but he managed to keep his footing this time. White hot knives felt like they were slicing up his leg, eventually getting so bad that it went numb.

“Well. That’s not good,” he said to the empty air as his voice quivered more. It still hurt, but now more like pins and needles gently poking him. Within a few more seconds, a lot of the feeling in his leg subsided, but he couldn’t stand any longer. Sagging against the bed, he slid to the floor. Now that he was off his foot, it started throbbing, making spots cloud his vision for a moment.

As he looked across the room at Zane and Cole (both still unresponsive, but at least Cole’s chest was rising and falling), an idea struck him.

“Huh… circuits… nerve circuits,” he said out loud as the idea developed. Sure, it was a very very stupid idea and could very well lead to bad results. But desperate times called for desperate measures, and by the First Master he wasn’t going to stand by! The shouting had intensified in volume, and he could make out the panicked voices of the other ninja. Besides, he and the others joked that his second elemental power was stupid ideas. That was his thing!

Mind still fuzzy from the aching torture he’d experienced moments before, he remembered Zane once infodumping about how nerves operated on electrical signals from the brain, and that when overloaded, could be numbed to pain (wow, he’d actually remembered that! See, he did pay attention, Kai).

Well. He was the master of lightning and therefore electricity after all.

“Oh boy. I’m definitely getting yelled at later for this,” he said under his breath as he closed his eyes and focused.

How was he going to do this? Could he even do this? Was it possible to shock himself? He’d never tried before, but had been shocked by other lightning on occasion.

He thought about it as he concentrated on his power. Using his element was like sneezing; almost instinctual, quick, and slightly jarring, pushing it outside of himself. So… he’d have to reverse that. Ignoring the feeling in his gut that this was going to be very terrible, he shoved the growing anxiety down.

Taking a slow, deep breath, he imagined he was inhaling electricity as well as oxygen, and it being distributed through his nerves.

A slight tingling sensation started circulating throughout his body, and he tried it again.

A blue glow emanated from him for a second behind his eyelids, sparking.

Then everything stopped.

The throbbing hadn’t just faded away. It was completely gone. Abruptly and instantly. And it wasn’t just the throbbing either; all feeling was absent. As he opened his eyes, he discovered that he couldn’t feel his clothes rubbing against his skin, the cold floor he was sitting on, the air stirring around him; it was all gone.

“Was this how Cole felt when he was a ghost?” Jay wondered, marveling at the numbness (and slightly panicking. He desperately hoped this could be reversed later).

Getting to his feet, this time without the agony part of it, he glanced back at his unconscious brothers one last time, then sprinted out the door and down the hallway, ignoring the way his foot crunched with every footfall. Doors blurred past him as he followed the sound of voices, now reduced to an alarmingly quiet level. There was no commotion anymore, sound just as absent as sensation. He drew nearer, then skidded around a corner and out into the training yard to observe the devastation that had transpired.

Wooden practice dummies had been splintered and broken apart, scattered everywhere. Sparring targets and weapons had been mutilated, somehow embedded into the walls and ground like shrapnel. Burn and scorch marks littered the scene, a part of the monastery wall crumbling. The sky was a deep gray, casting long shadows.

About thirty enemies were scattered around, standing at attention with their backs to Jay and seemingly waiting for something. Or someone. They wore dark, blood red kasas that cast their faces into shadow, obscuring them. White robes accented with blacks and oranges flowed around them, with brass cuffs wrapped around their wrists. Glowing gold fire designs engraved into the cuffs were arranged artistically to resemble flames wrapping around each other. Sleek black, braided hair fell down to their waists, with vivid, fiery ribbons interwoven into them. He guessed they were all female warriors. They stared straight ahead, toward the gate and eerily motionless. The voices he had followed were whispers, drifting and tangling with each other in the air and incomprehensible. It made the hair stand up on the back of his neck, but he shook it off.

Frantically, he cast his gaze around the yard, until he finally spotted the others. They were all dumped over in the corner, bodies splayed across the ground and faces contorted with pain, yet their eyes were closed and they all lay inert. After studying them for a moment, he noted with relief that they were all breathing.

Rage boiled inside of him, and his face hardened.

No one. Did. That. To the people he loved.

He turned back to the warriors spaced around the yard that still had not moved, hardly noticing the electricity starting to spark around his hands.

His emotions felt amplified. Stronger. His fury grew, consuming every other thought in his mind.

He started vibrating as the neon static spread from his hands to circulate and jerk around his body, intertwining ropes of blinding blues and whites.

Lightning flashed around his feet as he took slow, deliberate steps.

Finally, the enemies turned, and instantly and simultaneously crouched into fighting stances, raising various weapons.

Too bad for them, that did nothing but amplify the surge he finally let loose.

Sharp, blue-white cords arced toward each opponent, turning the air white and scorching. No sound escaped them as one by one, the strands of lightning hit them, causing their bodies to convulse. Out of the corner of his eye, he saw movement from the direction of the others, but paid no heed.

He ignored the way his body was steaming, and searched deeper as the unfortunate warriors still spasmed, unable to move and leave the current that he was feeding. There was no way he could stop now. He’d opened a door, and a thousand-pound waterfall had come gushing out.

He searched deeper still, disregarding the horrifying scene as he tapped into the energy stored within himself that he had put there in the first place.

Instinctively, hardly acknowledging what he was doing, he wrapped it into a twisted, contorted ball, then pushed everything out.

When it finally ran out, satiated, the air returned to normal.

Thuds echoed around the now-silent training yard, as each female warrior crumpled and hit the ground, steam spiraling from their clothes and skin.

Everything was bleached white, except for a small circle around the other ninja, where they lay untouched.

Nya was propped up on her arms, head lifted to gaze at Jay. He couldn’t tell what emotion it portrayed. There was admiration, and affection. But fear and horror was also painted across her face, and it pained him to know that he was the reason for it. She started to stand up, but Jay couldn’t think anymore.

Feeling had come back.

Everywhere was in excruciating anguish. His hands and arms were burned, with protruding raised zigzags of scorched skin beginning to turn red. He stumbled, wincing as he was suddenly very aware of his leg again.

“Nya. I-I’m sorryh…” he trailed off as his knees gave out.

“JAY!” she yelled as she dashed over to him, catching him before his head could hit the ground.

The last thing he remembered was being encircled by her arms as muffled shouts rose up around him. Trusting Nya to take care of him, his eyes shut, and he drifted off into oblivion, chasing away the agony.

Don’t worry, he’ll be fine. Just unconscious :)

#Hmmmmm what do I tag this?#I have tk keep it obviously #Moots fanfiction?#Idk i like you more than my other singular moot #Hmmmm #Okay three new tags.#iotm fanfic #Fanfic #Moot fanfic #yeah #😌👌

25 notes · View notes

aprito · 1 year ago

Note

Omg so Invocation of the Muse was literally one of the very first SOS fic I ever read alongside Tagging Hearts by HIHI-AI on FF.net. Talk about nostalgia. Threw me down the slide headfirst.

I could write a 30 page academic disseration about how good IOTM was and why it's easily in my top 10 but listen...it got down to the bottom of what mutually toxic sos would look like so effortlessly that I cannot stop praising it to this day. The absolute trainwreck that was their college relationship (which was the PERFECT age group and setting for this) that you could see happening with every chapter because they absolutely refused to properly get to know each other (due to their own selfishness and delusions and immaturity) and the attraction alone not being able to save it was SO GOOD...and then the ending with Sakura being able to get over it pretty quickly while it RUINED Sasori is JUST what the audience (me) was waiting for. Now I am convinced that sos need to break up at least once or twice in their lives before they get back together for good (or not), I crave the drama. I can't believe that's literally one of the FIRST fics you've ever come across omfg I'm so happy for you. If you liked IOTM you might like Ninety-Nine Problems Plus One.

Tagging Hearts was actually one of my first fics!! It was so cute and I really enjoyed their take on the whole two classes clashing tropes, as well as their unique spin on Sasori being a graffiti artist and just dragging Sakura into his life passion. It's definitely my fav fic from them and it would be amazing to see what else they come up with. That's like high school NOSTALIGIA nostalgia for me.

#ask noni #i see you saw my fic rec #im so old

6 notes · View notes

drmikewatts · 3 months ago

Text

IEEE Transactions on Artificial Intelligence, Volume 5, Issue 9, September 2024

1) Editorial: From Explainable Artificial Intelligence (xAI) to Understandable Artificial Intelligence (uAI)

Author(s): Hussein Abbass, Keeley Crockett, Jonathan Garibaldi, Alexander Gegov, Uzay Kaymak, Joao Miguel C. Sousa

Pages: 4310 - 4314

2) Incomplete Graph Learning via Partial Graph Convolutional Network

Author(s): Ziyan Zhang, Bo Jiang, Jin Tang, Jinhui Tang, Bin Luo

Pages: 4315 - 4321

3) Adversarial Machine Learning for Social Good: Reframing the Adversary as an Ally

Author(s): Shawqi Al-Maliki, Adnan Qayyum, Hassan Ali, Mohamed Abdallah, Junaid Qadir, Dinh Thai Hoang, Dusit Niyato, Ala Al-Fuqaha

Pages: 4322 - 4343

4) A Distributed Conditional Wasserstein Deep Convolutional Relativistic Loss Generative Adversarial Network With Improved Convergence

Author(s): Arunava Roy, Dipankar Dasgupta

Pages: 4344 - 4353

5) A Similarity-Based Positional Attention-Aided Deep Learning Model for Copy–Move Forgery Detection

Author(s): Ayush Roy, Sk Mohiuddin, Ram Sarkar

Pages: 4354 - 4363

6) Enhancing Reinforcement Learning via Transformer-Based State Predictive Representations

Author(s): Minsong Liu, Yuanheng Zhu, Yaran Chen, Dongbin Zhao

Pages: 4364 - 4375

7) Bilateral-Head Region-Based Convolutional Neural Networks: A Unified Approach for Incremental Few-Shot Object Detection

Author(s): Yiting Li, Haiyue Zhu, Sichao Tian, Jun Ma, Cheng Xiang, Prahlad Vadakkepat

Pages: 4376 - 4390

8) Regional Ensemble for Improving Unsupervised Outlier Detectors

Author(s): Jiawei Yang, Sylwan Rahardja, Susanto Rahardja

Pages: 4391 - 4402

9) Progressively Select and Reject Pseudolabeled Samples for Open-Set Domain Adaptation

Author(s): Qian Wang, Fanlin Meng, Toby P. Breckon

Pages: 4403 - 4414

10) A Lightweight Multidendritic Pyramidal Neuron Model With Neural Plasticity on Image Recognition

Author(s): Yu Zhang, Pengxing Cai, Yanan Sun, Zhiming Zhang, Zhenyu Lei, Shangce Gao

Pages: 4415 - 4427

11) A Multimodal Multiobjective Evolutionary Algorithm for Filter Feature Selection in Multilabel Classification

Author(s): Emrah Hancer, Bing Xue, Mengjie Zhang

Pages: 4428 - 4442

12) A Nonparametric Split and Kernel-Merge Clustering Algorithm

Author(s): Khurram Khan, Atiq ur Rehman, Adnan Khan, Syed Rameez Naqvi, Samir Brahim Belhaouari, Amine Bermak

Pages: 4443 - 4457

13) Universal Transfer Framework for Urban Spatiotemporal Knowledge Based on Radial Basis Function

Author(s): Sheng-Min Chiu, Yow-Shin Liou, Yi-Chung Chen, Chiang Lee, Rong-Kang Shang, Tzu-Yin Chang, Roger Zimmermann

Pages: 4458 - 4469

14) Building a Robust and Efficient Defensive System Using Hybrid Adversarial Attack

Author(s): Rachel Selva Dhanaraj, M. Sridevi

Pages: 4470 - 4478

15) Retain and Adapt: Online Sequential EEG Classification With Subject Shift

Author(s): Tiehang Duan, Zhenyi Wang, Li Shen, Gianfranco Doretto, Donald A. Adjeroh, Fang Li, Cui Tao

Pages: 4479 - 4492

16) Prefetching-based Multiproposal Markov Chain Monte Carlo Algorithm

Author(s): Guifeng Ye, Shaowen Lu

Pages: 4493 - 4505

17) Shuffled Grouping Cross-Channel Attention-Based Bilateral-Filter-Interpolation Deformable ConvNet With Applications to Benthonic Organism Detection

Author(s): Tingkai Chen, Ning Wang

Pages: 4506 - 4518

18) An Intelligent Fingerprinting Technique for Low-Power Embedded IoT Devices

Author(s): Varun Kohli, Muhammad Naveed Aman, Biplab Sikdar

Pages: 4519 - 4534

19) A Novel Applicable Shadow Resistant Neural Network Model for High-Efficiency Grid-Level Pavement Crack Detection

Author(s): Handuo Yang, Ju Huyan, Tao Ma, Yitao Song, Chengjia Han

Pages: 4535 - 4549

20) Prioritized Local Matching Network for Cross-Category Few-Shot Anomaly Detection

Author(s): Huilin Deng, Hongchen Luo, Wei Zhai, Yanming Guo, Yang Cao, Yu Kang

Pages: 4550 - 4561

21) IOTM: Iterative Optimization Trigger Method—A Runtime Data-Free Backdoor Attacks on Deep Neural Networks

Author(s): Iram Arshad, Saeed Hamood Alsamhi, Yuansong Qiao, Brian Lee, Yuhang Ye

Pages: 4562 - 4573

22) An Unbiased Fuzzy Weighted Relative Error Support Vector Machine for Reverse Prediction of Concrete Components

Author(s): Zongwen Fan, Jin Gou, Shaoyuan Weng

Pages: 4574 - 4584

23) Stabilizing Diffusion Model for Robotic Control With Dynamic Programming and Transition Feasibility

Author(s): Haoran Li, Yaocheng Zhang, Haowei Wen, Yuanheng Zhu, Dongbin Zhao

Pages: 4585 - 4594

24) A Unified Conditional Diffusion Framework for Dual Protein Targets-Based Bioactive Molecule Generation

Author(s): Lei Huang, Zheng Yuan, Huihui Yan, Rong Sheng, Linjing Liu, Fuzhou Wang, Weidun Xie, Nanjun Chen, Fei Huang, Songfang Huang, Ka-Chun Wong, Yaoyun Zhang

Pages: 4595 - 4606

25) Learning Counterfactual Explanation of Graph Neural Networks via Generative Flow Network

Author(s): Kangjia He, Li Liu, Youmin Zhang, Ye Wang, Qun Liu, Guoyin Wang

Pages: 4607 - 4619

26) Linear Regression-Based Autonomous Intelligent Optimization for Constrained Multiobjective Problems

Author(s): Yan Wang, Xiaoyan Sun, Yong Zhang, Dunwei Gong, Hejuan Hu, Mingcheng Zuo

Pages: 4620 - 4634

27) Strategic Gradient Transmission With Targeted Privacy-Awareness in Model Training: A Stackelberg Game Analysis

Author(s): Hezhe Sun, Yufei Wang, Huiwen Yang, Kaixuan Huo, Yuzhe Li

Pages: 4635 - 4648

28) An Explainable Intellectual Property Protection Method for Deep Neural Networks Based on Intrinsic Features

Author(s): Mingfu Xue, Xin Wang, Yinghao Wu, Shifeng Ni, Leo Yu Zhang, Yushu Zhang, Weiqiang Liu

Pages: 4649 - 4659

29) Unsupervised Representation Learning for 3-D Magnetic Resonance Imaging Superresolution With Degradation Adaptation

Author(s): Jianan Liu, Hao Li, Tao Huang, Euijoon Ahn, Kang Han, Adeel Razi, Wei Xiang, Jinman Kim, David Dagan Feng

Pages: 4660 - 4674

30) A Causality-Informed Graph Intervention Model for Pancreatic Cancer Early Diagnosis

Author(s): Xinyue Li, Rui Guo, Hongzhang Zhu, Tao Chen, Xiaohua Qian

Pages: 4675 - 4685

31) Remaining Useful Life Prediction via Frequency Emphasizing Mix-Up and Masked Reconstruction

Author(s): Haoren Guo, Haiyue Zhu, Jiahui Wang, Vadakkepat Prahlad, Weng Khuen Ho, Clarence W. de Silva, Tong Heng Lee

Pages: 4686 - 4695

32) UPR-BP: Unsupervised Photoplethysmography Representation Learning for Noninvasive Blood Pressure Estimation

Author(s): Chenbin Ma, Peng Zhang, Fan Song, Zeyu Liu, Youdan Feng, Yufang He, Guanglei Zhang

Pages: 4696 - 4707

33) SBP-GCA: Social Behavior Prediction via Graph Contrastive Learning With Attention

Author(s): Yufei Liu, Jia Wu, Jie Cao

Pages: 4708 - 4722

34) Quadratic Neuron-Empowered Heterogeneous Autoencoder for Unsupervised Anomaly Detection

Author(s): Jing-Xiao Liao, Bo-Jian Hou, Hang-Cheng Dong, Hao Zhang, Xiaoge Zhang, Jinwei Sun, Shiping Zhang, Feng-Lei Fan

Pages: 4723 - 4737

35) Automatic Plane Pose Estimation for Cardiac Left Ventricle Coverage Estimation via Deep Adversarial Regression Network

Author(s): Le Zhang, Kevin Bronik, Stefan K. Piechnik, Joao A. C. Lima, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi

Pages: 4738 - 4752

36) Variable Curvature Gabor Convolution and Multibranch Structures for Finger Vein Recognition

Author(s): Jun Li, Huabin Wang, Shicheng Wei, Jian Zhou, Yuankang Shen, Liang Tao

Pages: 4753 - 4764

37) ClassLIE: Structure- and Illumination-Adaptive Classification for Low-Light Image Enhancement

Author(s): Zixiang Wei, Yiting Wang, Lichao Sun, Athanasios V. Vasilakos, Lin Wang

Pages: 4765 - 4775

38) Improving Code Summarization With Tree Transformer Enhanced by Position-Related Syntax Complement

Author(s): Jie Song, Zexin Zhang, Zirui Tang, Shi Feng, Yu Gu

Pages: 4776 - 4786

39) Automated Detection of Harmful Insects in Agriculture: A Smart Framework Leveraging IoT, Machine Learning, and Blockchain

Author(s): Wahidur Rahman, Muhammad Minoar Hossain, Md. Mahedi Hasan, Md. Sadiq Iqbal, Mohammad Motiur Rahman, Khondokar Fida Hasan, Mohammad Ali Moni

Pages: 4787 - 4798

40) MTPret: Improving X-Ray Image Analytics With Multitask Pretraining

Author(s): Weibin Liao, Qingzhong Wang, Xuhong Li, Yi Liu, Zeyu Chen, Siyu Huang, Dejing Dou, Yanwu Xu, Haoyi Xiong

Pages: 4799 - 4812

41) Reinforced Reweighting for Self-Supervised Partial Domain Adaptation

Author(s): Keyu Wu, Shengkai Chen, Min Wu, Shili Xiang, Ruibing Jin, Yuecong Xu, Xiaoli Li, Zhenghua Chen

Pages: 4813 - 4822

42) Cross-Modality Calibration in Multi-Input Network for Axillary Lymph Node Metastasis Evaluation

Author(s): Michela Gravina, Domiziana Santucci, Ermanno Cordelli, Paolo Soda, Carlo Sansone

Pages: 4823 - 4836

43) A Novel Grades Prediction Method for Undergraduate Students by Learning Explicit Conditional Distribution

Author(s): Na Zhang, Ming Liu, Lin Wang, Shuangrong Liu, Runyuan Sun, Bo Yang, Shenghui Zhu, Chengdong Li, Cheng Yang, Yuhu Cheng

Pages: 4837 - 4848

0 notes

govindhtech · 7 months ago

Text

GB200 NVL72: Tool for Next-Gen AI and Scientific Discovery

NVIDIA GB200 NVL72

In a rack-scale configuration, GB200 NVL72 links 36 Grace CPUs with 72 Blackwell GPUs. With a 72-GPU NVLink domain that functions as a single huge GPU and provides 30X quicker real-time trillion-parameter LLM inference, the GB200 NVL72 is a liquid-cooled, rack-scale solution.

A crucial part of the NVIDIA GB200 NVL72 is the GB200 Grace Blackwell Superchip, which uses the NVIDIA NVLink-C2C interconnect to link two powerful NVIDIA Blackwell Tensor Core GPUs and an NVIDIA Grace CPU.

Instantaneous LLM Deduction

Together with fifth-generation NVIDIA NVLink, the GB200 NVL72 offers state-of-the-art features including a second-generation Transformer Engine that powers FP4 AI and provides 30X faster real-time LLM inference performance for trillion-parameter language models. A new generation of Tensor Cores, which bring new microscaling formats and offer high accuracy and higher throughput, makes this progress possible. Furthermore, the GB200 NVL72 overcomes communication obstacles by combining liquid cooling and NVLink to build a single, enormous 72-GPU rack.

Large-Scale Instruction

A faster second-generation Transformer Engine with FP8 precision is included in the GB200 NVL72, allowing for an amazing 4X faster training time for big language models at scale. The fifth-generation NVLink, which offers NVIDIA Magnum IOTM software, InfiniBand networking, and 1.8 terabytes per second (TB/s) of GPU-to-GPU connectivity, complements this innovation.

Infrastructure with Low Energy Use

Data centres with liquid-cooled GB200 NVL72 racks use less energy and have a smaller carbon footprint. Large NVLink domain architectures benefit from liquid cooling’s ability to boost computation density, minimise floor space consumption, and enable high-bandwidth, low-latency GPU connection. When compared to NVIDIA H100 air-cooled infrastructure, the GB200 uses less water and offers 25X higher performance at the same power.

Data Entry

For businesses, databases are essential for managing, processing, and evaluating massive amounts of data. GB200 leverages the NVIDIA Blackwell architecture’s high-bandwidth memory performance, NVLink-C2C, and dedicated decompression engines to expedite critical database queries by 18X as compared to CPU and provide a 5X better total cost of ownership.

Although there are many advantages, there can be significant computational and resource costs associated with training and deploying big models. Widespread implementation will depend on computationally, financially, and energy-efficient systems that are designed to provide real-time inference. One such system that is capable of the job is the new NVIDIA GB200 NVL72.

Let’s look at the Mixture of Experts (MoE) models as an example. By utilising pipeline and model parallelism, these models facilitate the training of thousands of GPUs while distributing the computational load across numerous specialists. increasing the effectiveness of the system.

But GPU clusters may be able to make the technical issue manageable thanks to a new level of parallel processing, high-speed memory, and high-performance connections. This is accomplished by the NVIDIA GB200 NVL72 rack-scale architecture, which NVIDIA describes in more detail in the post that follows.

GB200 NVIDIA NVL36 and NVL72

In NVLink domains, the GB200 supports 36 and 72 GPUs. Based on the NVLink Switch System and the MGX reference design, each rack houses 18 computing nodes. With 18 solitary GB200 compute nodes and 36 GPUs in a single rack, it is available in the GB200 NVL36 configuration. With 72 GPUs in one rack and 18 dual GB200 compute nodes, or 72 GPUs in two racks with 18 single GB200 compute nodes, is how the GB200 NVL72 is arranged.

For ease of use, the GB200 NVL72 tightly packs and links the GPUs using a copper cable cartridge. Additionally, it features a liquid cooling system design, which results in 25 times less energy and cost usage.

NVIDIA GB200 NVL72 Features

Architecture by Blackwell

With unmatched speed, efficiency, and scalability, the NVIDIA Blackwell architecture ushers in a new era of computing with revolutionary advances in accelerated computing.

NVIDIA Grace Processor

An innovative processor for AI, cloud, and HPC applications running in contemporary data centres is the NVIDIA Grace CPU. It offers exceptional speed and memory bandwidth at a 2X energy efficiency compared to the top server processors available today.

Fifth-Stage NVIDIA NVLink Technology

For exascale computing and trillion-parameter AI models to reach their full potential, quick, smooth communication between each GPU in a server cluster is necessary. A scale-up link, the fifth iteration of NVLink unlocks faster performance for trillion- and multi-trillion-parameter AI models.

Graphics Processing Unit

As the foundation for distributed AI model training and generative AI performance, the data center’s network is essential to the development and performance of AI. For the best possible application performance, NVIDIA Quantum-X800 InfiniBand, NVIDIA Spectrum-X800 Ethernet, and NVIDIA BlueField-3 DPUs provide effective scalability over hundreds or thousands of Blackwell GPUs.

Nvidia GB200 NVL72 price

The NVIDIA DGX GB200 NVL72 is priced accordingly, being a high-end device aimed at academic institutions and major enterprises. One estimate places the price of a fully loaded system with 72 GB200 Superchips at approximately $3 million USD.

Here’s the reason it costs so much:

Abundant processing power: Equipped with 72 GPUs, it achieves remarkable performance in the 1.44 exaFLOPs of FP4 exaflop range.

Advanced hardware: It includes a liquid cooling system, a unique NVLink switch system for high-speed networking, and 13.5 TB of HBM3e memory.

It is challenging to find a publicly published price for the DGX GB200 NVL72 due to its specialised market. The $3 million estimate, nevertheless, is a reasonable approximation.