#LWS
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polterwasteist · 10 months ago
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Just let them sit like this already
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ianthoni · 4 months ago
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I recently rewatched some old smoshcast episodes when Ian used to host them. I’ve noticed more and more how he doubts his own comedy and thinks that everyone is more talended than him and that he was just lucky to be at the right place right time to succeed. Honestly it’s crushing seeing him gaining back self confidence with Anthony’s return just to be shit on by fans. I’m not surprised they canceled lws the views on the last episode are so so low. And I wasn’t surprised when they canceled sketches. I agree on some part that smosh as a company communicates with fans horribly about their projects but on the other hand I think it would be unbearably hard making a video or even a post saying yeah well we failed we don’t get enough views/support to continue this when literally everything else according to them in the company has been thriving better than ever.
:( Ian was insecure a lot. I think he still is. I remember Shayne and Amanda were talking about in Smosh mouth how Ian doesn't give himself enough credit and how he is insecure about his comedy and his talent. But i always remember Anthony saying Ian was the fun part of Smosh, the idea giving one, that's why when he left he couldn't do sketches anymore without him. And how Shayne and Amanda compliment him a lot on his talent. I wish people reminded him how talented he is. I have a feeling he always felt like he was a side kick and he got all of this bc of Anthony like he said on Anthony's funeral. But he is talented, he's the creativity of Smosh, he's the heart of Smosh. He deserves more praise, not getting called bummer or judged for things happening.
I'm sad they ended and I'm sure it all had a reason for it, views, too much money lost etc etc. So on one hand I'm sad they're not bad at communicating but on the other hand i get it, i agree with what you said it is hard to talk about this stuff. Honestly idk at this point. I'm hopeless about their future in the channels and hopeless about my status as a fan :(
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smosh-fessions · 5 months ago
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If lunchtime time is over (let’s be real… it is). I want them to address it instead of avoiding it and hoping we forget, like it appears they are doing (which is a little insulting, I won’t lie). Smosh fans often times don’t “need” or are entitled to an explanation for things. Lots of things are personal and people don’t want their personal information all over the internet, I get that. I’m mad at the fact this was the last place we ever saw Ian and Anthony interact and we were told they would be back in 2025, and yet… radio silence. I think when a show that people enjoyed is cancelled they should at least mention it. The main content changed so much last year and lunchtime became the only place to see Ian and Anthony together. I feel fans of them and the show have earned a post saying it’s officially done rather than waiting and hoping it comes back.
I’m extremely disappointed in Smoshs communication skills.
Their communication is definitely very, very lackluster and from what I've heard, it kind of always has been.
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grrlmusic · 9 months ago
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LWS - Palloon
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govindhtech · 9 months ago
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How To Use Llama 3.1 405B FP16 LLM On Google Kubernetes
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How to set up and use large open models for multi-host generation AI over GKE
Access to open models is more important than ever for developers as generative AI grows rapidly due to developments in LLMs (Large Language Models). Open models are pre-trained foundational LLMs that are accessible to the general population. Data scientists, machine learning engineers, and application developers already have easy access to open models through platforms like Hugging Face, Kaggle, and Google Cloud’s Vertex AI.
How to use Llama 3.1 405B
Google is announcing today the ability to install and run open models like Llama 3.1 405B FP16 LLM over GKE (Google Kubernetes Engine), as some of these models demand robust infrastructure and deployment capabilities. With 405 billion parameters, Llama 3.1, published by Meta, shows notable gains in general knowledge, reasoning skills, and coding ability. To store and compute 405 billion parameters at FP (floating point) 16 precision, the model needs more than 750GB of GPU RAM for inference. The difficulty of deploying and serving such big models is lessened by the GKE method discussed in this article.
Customer Experience
You may locate the Llama 3.1 LLM as a Google Cloud customer by selecting the Llama 3.1 model tile in Vertex AI Model Garden.
Once the deploy button has been clicked, you can choose the Llama 3.1 405B FP16 model and select GKE.Image credit to Google Cloud
The automatically generated Kubernetes yaml and comprehensive deployment and serving instructions for Llama 3.1 405B FP16 are available on this page.
Deployment and servicing multiple hosts
Llama 3.1 405B FP16 LLM has significant deployment and service problems and demands over 750 GB of GPU memory. The total memory needs are influenced by a number of parameters, including the memory used by model weights, longer sequence length support, and KV (Key-Value) cache storage. Eight H100 Nvidia GPUs with 80 GB of HBM (High-Bandwidth Memory) apiece make up the A3 virtual machines, which are currently the most potent GPU option available on the Google Cloud platform. The only practical way to provide LLMs such as the FP16 Llama 3.1 405B model is to install and serve them across several hosts. To deploy over GKE, Google employs LeaderWorkerSet with Ray and vLLM.
LeaderWorkerSet
A deployment API called LeaderWorkerSet (LWS) was created especially to meet the workload demands of multi-host inference. It makes it easier to shard and run the model across numerous devices on numerous nodes. Built as a Kubernetes deployment API, LWS is compatible with both GPUs and TPUs and is independent of accelerators and the cloud. As shown here, LWS uses the upstream StatefulSet API as its core building piece.
A collection of pods is controlled as a single unit under the LWS architecture. Every pod in this group is given a distinct index between 0 and n-1, with the pod with number 0 being identified as the group leader. Every pod that is part of the group is created simultaneously and has the same lifecycle. At the group level, LWS makes rollout and rolling upgrades easier. For rolling updates, scaling, and mapping to a certain topology for placement, each group is treated as a single unit.
Each group’s upgrade procedure is carried out as a single, cohesive entity, guaranteeing that every pod in the group receives an update at the same time. While topology-aware placement is optional, it is acceptable for all pods in the same group to co-locate in the same topology. With optional all-or-nothing restart support, the group is also handled as a single entity when addressing failures. When enabled, if one pod in the group fails or if one container within any of the pods is restarted, all of the pods in the group will be recreated.
In the LWS framework, a group including a single leader and a group of workers is referred to as a replica. Two templates are supported by LWS: one for the workers and one for the leader. By offering a scale endpoint for HPA, LWS makes it possible to dynamically scale the number of replicas.
Deploying multiple hosts using vLLM and LWS
vLLM is a well-known open source model server that uses pipeline and tensor parallelism to provide multi-node multi-GPU inference. Using Megatron-LM’s tensor parallel technique, vLLM facilitates distributed tensor parallelism. With Ray for multi-node inferencing, vLLM controls the distributed runtime for pipeline parallelism.
By dividing the model horizontally across several GPUs, tensor parallelism makes the tensor parallel size equal to the number of GPUs at each node. It is crucial to remember that this method requires quick network connectivity between the GPUs.
However, pipeline parallelism does not require continuous connection between GPUs and divides the model vertically per layer. This usually equates to the quantity of nodes used for multi-host serving.
In order to support the complete Llama 3.1 405B FP16 paradigm, several parallelism techniques must be combined. To meet the model’s 750 GB memory requirement, two A3 nodes with eight H100 GPUs each will have a combined memory capacity of 1280 GB. Along with supporting lengthy context lengths, this setup will supply the buffer memory required for the key-value (KV) cache. The pipeline parallel size is set to two for this LWS deployment, while the tensor parallel size is set to eight.
In brief
We discussed in this blog how LWS provides you with the necessary features for multi-host serving. This method maximizes price-to-performance ratios and can also be used with smaller models, such as the Llama 3.1 405B FP8, on more affordable devices. Check out its Github to learn more and make direct contributions to LWS, which is open-sourced and has a vibrant community.
You can visit Vertex AI Model Garden to deploy and serve open models via managed Vertex AI backends or GKE DIY (Do It Yourself) clusters, as the Google Cloud Platform assists clients in embracing a gen AI workload. Multi-host deployment and serving is one example of how it aims to provide a flawless customer experience.
Read more on Govindhtech.com
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creamiful · 1 year ago
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Hat irgendjemand Erfahrung mit Wirbelgleiten und einer Wirbelsäulenversteifung?
Oder kennt Foren in denen sich dazu ausgetauscht wurde?
Wenn ja, bitte schickt mir alle Infos zu, ich bin aktuell etwas verzweifelt auf der Suche nach Erfahrungen und Berichten 🫶🏻
Gerne auch Insta Seiten oder ähnliches die sich damit beschäftigen
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argentsurleweb · 5 months ago
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Configurer en 1mn une Adresse-Mail Professionnel et Calendrier sur iPhone - Solution Rapide LWS en 2025 : Ce que Personne ne Vous Dit ! : Secrets et Stratégies pour un Référencement au Top - Améliorez Votre Visibilité en un Clin d’Œil !
En savoir plus sur Configurer en 1mn une Adresse-Mail Professionnel et Calendrier sur iPhone – Solution Rapide LWS en 2025 : Ce que Personne ne Vous Dit ! : Secrets et Stratégies pour un Référencement au Top – Améliorez Votre Visibilité en un Clin d’Œil ! Si vous voulez améliorer votre positionnement sur les moteurs de recherche, Configurer en 1mn une Adresse-Mail Professionnel et Calendrier sur…
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mgmedina · 8 months ago
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Discover how AI is revolutionizing industries! From personalized shopping in retail to smarter inventory management, AI is shaping the future of technology. Explore how it powers innovations in healthcare, finance, energy, and beyond. The possibilities are endless! 🚀✨
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hughlh · 10 months ago
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Security
In my early years of ministry on the streets, I had no money. To say I had no money does not adequately convey just how little money I had. I mean, I had negative money. I would pick up writing jobs of the meanest sort – $5 a page blah blah blah website copy for content farms promoting saunas, cell phones, and nude beaches. I would work at a hot dog stand a friend owned on the sidewalk in front…
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kayluh1915 · 10 months ago
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Bro's literally playing with his hair like a giggly school girl in that first shot. It's clear that he genuinely adores him and would listen to him ramble about anything for hours.
Anthony “Head empty only Ian” Padilla
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smosh-fessions · 4 months ago
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Do you think lunchtime with smosh is coming back? The last podcast was like 3+ months ago and not a word. Like I get a season break but they could at least announce something?
I find it weird that Anthony is barely in Smosh content and even his own at the moment. I get that he stuggles with mental health stuff (so do i) but the silence is not good imo. The vaugeposting he does on Instagram is also a big turnoff as well like what are you hiding lol.
At this point, I don't, and I think everyone in charge of making that known who is choosing to ignore it is being an asshole for it.
Anthony is not the good communicator people have said he is.
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i-miss-summertime · 10 months ago
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we got lunchtime today yessssss
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grrlmusic · 10 months ago
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LWS - Gown Blanks / Orange Deuce
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critiqueplus · 1 year ago
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Top 10 des meilleures offres d'hébergement mutualisé en France
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L'hébergement mutualisé est une solution privilégiée pour les petits et moyens sites en France, combinant économie et simplicité par rapport aux serveurs dédiés. Cet article propose un tour d'horizon des meilleurs fournisseurs d'hébergement mutualisé en France, en examinant leurs principaux avantages et leurs tarifs compétitifs.
1. Hostinger
Avantages : Hostinger est célèbre pour sa rapidité et sa sécurité renforcée. La plateforme offre une migration de site web gratuite, un nom de domaine sans frais pour la première année, et un support client disponible 24/7. De plus, Hostinger garantit une fiabilité exceptionnelle avec un uptime de 99,9%. Tarifs : les offres de Hostinger sont variées, s'étendant du plan de base abordable aux options plus évoluées comme le cloud startup. Les tarifs débutent à un prix très compétitif, adapté aux petits budgets tout en offrant d'excellentes performances.
2. Infomaniak
Avantages : basé en Suisse, Infomaniak se distingue par ses performances élevées et son engagement éthique et écologique. Il propose 250 Go d'espace SSD, des bases de données et un trafic illimités, avec un ensemble de services tout inclus. Tarifs : le coût commence à partir de 5,75 € par mois, un investissement raisonnable pour les entreprises soucieuses de leur impact environnemental et à la recherche de services robustes.
3. PlanetHoster
Avantages : ce fournisseur offre un hébergement web illimité avec des ressources garanties pour chaque site, ce qui est particulièrement avantageux pour les sites à trafic moyen. Les clients bénéficient de fonctionnalités comme LSCache pour une meilleure gestion du cache, plusieurs versions de PHP et une protection proactive contre les attaques DDoS. Tarifs : avec des prix débutant à 5,00 € TTC par mois, PlanetHoster représente une option abordable pour ceux qui cherchent un service fiable avec de bonnes performances.
4. LWS (Ligne Web Services)
Avantages : LWS est reconnu pour la qualité de son service client et ses performances. Il offre l'installation en un clic de divers CMS, une garantie de temps de fonctionnement de 99,99%, et des sauvegardes quotidiennes pour sécuriser les données des utilisateurs. Tarifs : LWS propose plusieurs forfaits, adaptés à des profils d’utilisateurs variés, avec une garantie de remboursement de 30 jours pour minimiser les risques pour les nouveaux clients.
5. O2switch
Avantages : unique en son genre, O2switch propose un seul forfait tout compris et illimité, ce qui élimine toute préoccupation concernant les limitations de ressources. Ce forfait est particulièrement adapté pour les débutants ou les sites en croissance nécessitant une flexibilité maximale. Tarifs : le modèle de tarification est simple et tout-en-un, offrant une grande prévisibilité des coûts.
6. GoDaddy
Avantages : GoDaddy est un nom bien établi dans le domaine de l'hébergement, offrant une grande variété de plans pour répondre à tous les besoins. Les utilisateurs bénéficient de certificats SSL gratuits, d'un panneau de contrôle intuitif, et de sauvegardes quotidiennes pour une gestion simplifiée. Tarifs : les plans sont diversifiés, permettant à chaque utilisateur de trouver l'option qui correspond parfaitement à son budget et à ses exigences techniques.
7. OVHcloud
Avantages : OVHcloud, leader européen, propose une large gamme de services, y compris des options flexibles pour le stockage et la sauvegarde de données, ainsi qu'une gestion avancée du trafic réseau. Tarifs : avec des offres adaptées tant aux particuliers qu'aux grandes entreprises, OVHcloud présente une palette de prix selon les services et les ressources nécessaires.
8. Gandi
Avantages : Gandi est connu pour son approche transparente et évolutive de l'hébergement web, supportant une variété de technologies comme PHP, Python, et Node.js. Tarifs : Les options de tarification sont flexibles, permettant aux utilisateurs d'augmenter la puissance allouée selon les besoins de leur site.
9. IONOS
Avantages : IONOS excelle dans la sécurité, offrant des packs d’hébergement sécurisés qui incluent la sauvegarde et la restauration de données, ainsi qu’un conseiller personnel disponible 24/7. Tarifs : Les tarifs sont conçus pour s'adapter aux différents niveaux de besoin en performances, avec une possibilité de personnalisation élevée.
10. SiteGround
Avantages : Reconnu pour ses tarifs compétitifs, SiteGround propose des plans flexibles incluant SSL gratuits, sauvegardes quotidiennes, et CDN gratuit, ce qui est idéal pour optimiser les performances globales du site. Tarifs : Les offres promotionnelles peuvent réduire considérablement le coût initial, avec des réductions atteignant jusqu'à 69% sur les plans standard.
Conclusion
En conclusion, choisir un fournisseur d'hébergement mutualisé adapté peut grandement influencer la performance et la sécurité de votre site web. Les options présentées dans cet article, de Hostinger à SiteGround, offrent une diversité de services qui répondent à différents besoins, que ce soit en termes de budget, de support technique ou de fonctionnalités spécifiques. Que vous soyez une petite entreprise, un entrepreneur individuel ou un créateur de contenu, il existe une solution d'hébergement mutualisé en France qui peut correspondre précisément à vos exigences. En vous basant sur les détails de cet aperçu, vous pouvez faire un choix éclairé qui assurera à votre site une fondation solide et durable. Prenez le temps de considérer vos besoins spécifiques et comparez les différentes offres pour trouver le partenaire idéal dans votre aventure numérique. Laissez-nous également un commentaire ci-dessous pour partager vos pensées et vos expériences ! Read the full article
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luvwich · 3 months ago
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gradient text maker
i made a tool for creating gradient text! it's similar to this great site, but with a few additional features:
extract a color palette from an image
paste a string of hex codes to load the colors
AO3 export mode (it's a bit of a pain in the ass but it works)
on neocities →
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argentsurleweb · 5 months ago
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Stockez vos fichiers en ligne en toute sécurité avec le Cloud Pro LWS - Le Guide Ultime en 2025 - L’Approche Révolutionnaire pour un Site Performant : Techniques Modernes pour un Site Ultra Rapide
En savoir plus sur Stockez vos fichiers en ligne en toute sécurité avec le Cloud Pro LWS – Le Guide Ultime en 2025 – L’Approche Révolutionnaire pour un Site Performant : Techniques Modernes pour un Site Ultra Rapide ✅ Stockez vos fichiers en ligne en toute sécurité avec le Cloud Pro LWS – Le Guide Ultime en 2025 – L’Approche Révolutionnaire pour un Site Performant : Techniques Modernes pour un…
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