• Startup Uses NVIDIA RTX-Powered Generative AI to Make Coolers, Cooler

    Mark Theriault founded the startup FITY envisioning a line of clever cooling products: cold drink holders that come with freezable pucks to keep beverages cold for longer without the mess of ice. The entrepreneur started with 3D prints of products in his basement, building one unit at a time, before eventually scaling to mass production.
    Founding a consumer product company from scratch was a tall order for a single person. Going from preliminary sketches to production-ready designs was a major challenge. To bring his creative vision to life, Theriault relied on AI and his NVIDIA GeForce RTX-equipped system. For him, AI isn’t just a tool — it’s an entire pipeline to help him accomplish his goals. about his workflow below.
    Plus, GeForce RTX 5050 laptops start arriving today at retailers worldwide, from GeForce RTX 5050 Laptop GPUs feature 2,560 NVIDIA Blackwell CUDA cores, fifth-generation AI Tensor Cores, fourth-generation RT Cores, a ninth-generation NVENC encoder and a sixth-generation NVDEC decoder.
    In addition, NVIDIA’s Plug and Play: Project G-Assist Plug-In Hackathon — running virtually through Wednesday, July 16 — invites developers to explore AI and build custom G-Assist plug-ins for a chance to win prizes. the date for the G-Assist Plug-In webinar on Wednesday, July 9, from 10-11 a.m. PT, to learn more about Project G-Assist capabilities and fundamentals, and to participate in a live Q&A session.
    From Concept to Completion
    To create his standout products, Theriault tinkers with potential FITY Flex cooler designs with traditional methods, from sketch to computer-aided design to rapid prototyping, until he finds the right vision. A unique aspect of the FITY Flex design is that it can be customized with fun, popular shoe charms.
    For packaging design inspiration, Theriault uses his preferred text-to-image generative AI model for prototyping, Stable Diffusion XL — which runs 60% faster with the NVIDIA TensorRT software development kit — using the modular, node-based interface ComfyUI.
    ComfyUI gives users granular control over every step of the generation process — prompting, sampling, model loading, image conditioning and post-processing. It’s ideal for advanced users like Theriault who want to customize how images are generated.
    Theriault’s uses of AI result in a complete computer graphics-based ad campaign. Image courtesy of FITY.
    NVIDIA and GeForce RTX GPUs based on the NVIDIA Blackwell architecture include fifth-generation Tensor Cores designed to accelerate AI and deep learning workloads. These GPUs work with CUDA optimizations in PyTorch to seamlessly accelerate ComfyUI, reducing generation time on FLUX.1-dev, an image generation model from Black Forest Labs, from two minutes per image on the Mac M3 Ultra to about four seconds on the GeForce RTX 5090 desktop GPU.
    ComfyUI can also add ControlNets — AI models that help control image generation — that Theriault uses for tasks like guiding human poses, setting compositions via depth mapping and converting scribbles to images.
    Theriault even creates his own fine-tuned models to keep his style consistent. He used low-rank adaptationmodels — small, efficient adapters into specific layers of the network — enabling hyper-customized generation with minimal compute cost.
    LoRA models allow Theriault to ideate on visuals quickly. Image courtesy of FITY.
    “Over the last few months, I’ve been shifting from AI-assisted computer graphics renders to fully AI-generated product imagery using a custom Flux LoRA I trained in house. My RTX 4080 SUPER GPU has been essential for getting the performance I need to train and iterate quickly.” – Mark Theriault, founder of FITY 

    Theriault also taps into generative AI to create marketing assets like FITY Flex product packaging. He uses FLUX.1, which excels at generating legible text within images, addressing a common challenge in text-to-image models.
    Though FLUX.1 models can typically consume over 23GB of VRAM, NVIDIA has collaborated with Black Forest Labs to help reduce the size of these models using quantization — a technique that reduces model size while maintaining quality. The models were then accelerated with TensorRT, which provides an up to 2x speedup over PyTorch.
    To simplify using these models in ComfyUI, NVIDIA created the FLUX.1 NIM microservice, a containerized version of FLUX.1 that can be loaded in ComfyUI and enables FP4 quantization and TensorRT support. Combined, the models come down to just over 11GB of VRAM, and performance improves by 2.5x.
    Theriault uses the Blender Cycles app to render out final files. For 3D workflows, NVIDIA offers the AI Blueprint for 3D-guided generative AI to ease the positioning and composition of 3D images, so anyone interested in this method can quickly get started.
    Photorealistic renders. Image courtesy of FITY.
    Finally, Theriault uses large language models to generate marketing copy — tailored for search engine optimization, tone and storytelling — as well as to complete his patent and provisional applications, work that usually costs thousands of dollars in legal fees and considerable time.
    Generative AI helps Theriault create promotional materials like the above. Image courtesy of FITY.
    “As a one-man band with a ton of content to generate, having on-the-fly generation capabilities for my product designs really helps speed things up.” – Mark Theriault, founder of FITY

    Every texture, every word, every photo, every accessory was a micro-decision, Theriault said. AI helped him survive the “death by a thousand cuts” that can stall solo startup founders, he added.
    Each week, the RTX AI Garage blog series features community-driven AI innovations and content for those looking to learn more about NVIDIA NIM microservices and AI Blueprints, as well as building AI agents, creative workflows, digital humans, productivity apps and more on AI PCs and workstations. 
    Plug in to NVIDIA AI PC on Facebook, Instagram, TikTok and X — and stay informed by subscribing to the RTX AI PC newsletter.
    Follow NVIDIA Workstation on LinkedIn and X. 
    See notice regarding software product information.
    #startup #uses #nvidia #rtxpowered #generative
    Startup Uses NVIDIA RTX-Powered Generative AI to Make Coolers, Cooler
    Mark Theriault founded the startup FITY envisioning a line of clever cooling products: cold drink holders that come with freezable pucks to keep beverages cold for longer without the mess of ice. The entrepreneur started with 3D prints of products in his basement, building one unit at a time, before eventually scaling to mass production. Founding a consumer product company from scratch was a tall order for a single person. Going from preliminary sketches to production-ready designs was a major challenge. To bring his creative vision to life, Theriault relied on AI and his NVIDIA GeForce RTX-equipped system. For him, AI isn’t just a tool — it’s an entire pipeline to help him accomplish his goals. about his workflow below. Plus, GeForce RTX 5050 laptops start arriving today at retailers worldwide, from GeForce RTX 5050 Laptop GPUs feature 2,560 NVIDIA Blackwell CUDA cores, fifth-generation AI Tensor Cores, fourth-generation RT Cores, a ninth-generation NVENC encoder and a sixth-generation NVDEC decoder. In addition, NVIDIA’s Plug and Play: Project G-Assist Plug-In Hackathon — running virtually through Wednesday, July 16 — invites developers to explore AI and build custom G-Assist plug-ins for a chance to win prizes. the date for the G-Assist Plug-In webinar on Wednesday, July 9, from 10-11 a.m. PT, to learn more about Project G-Assist capabilities and fundamentals, and to participate in a live Q&A session. From Concept to Completion To create his standout products, Theriault tinkers with potential FITY Flex cooler designs with traditional methods, from sketch to computer-aided design to rapid prototyping, until he finds the right vision. A unique aspect of the FITY Flex design is that it can be customized with fun, popular shoe charms. For packaging design inspiration, Theriault uses his preferred text-to-image generative AI model for prototyping, Stable Diffusion XL — which runs 60% faster with the NVIDIA TensorRT software development kit — using the modular, node-based interface ComfyUI. ComfyUI gives users granular control over every step of the generation process — prompting, sampling, model loading, image conditioning and post-processing. It’s ideal for advanced users like Theriault who want to customize how images are generated. Theriault’s uses of AI result in a complete computer graphics-based ad campaign. Image courtesy of FITY. NVIDIA and GeForce RTX GPUs based on the NVIDIA Blackwell architecture include fifth-generation Tensor Cores designed to accelerate AI and deep learning workloads. These GPUs work with CUDA optimizations in PyTorch to seamlessly accelerate ComfyUI, reducing generation time on FLUX.1-dev, an image generation model from Black Forest Labs, from two minutes per image on the Mac M3 Ultra to about four seconds on the GeForce RTX 5090 desktop GPU. ComfyUI can also add ControlNets — AI models that help control image generation — that Theriault uses for tasks like guiding human poses, setting compositions via depth mapping and converting scribbles to images. Theriault even creates his own fine-tuned models to keep his style consistent. He used low-rank adaptationmodels — small, efficient adapters into specific layers of the network — enabling hyper-customized generation with minimal compute cost. LoRA models allow Theriault to ideate on visuals quickly. Image courtesy of FITY. “Over the last few months, I’ve been shifting from AI-assisted computer graphics renders to fully AI-generated product imagery using a custom Flux LoRA I trained in house. My RTX 4080 SUPER GPU has been essential for getting the performance I need to train and iterate quickly.” – Mark Theriault, founder of FITY  Theriault also taps into generative AI to create marketing assets like FITY Flex product packaging. He uses FLUX.1, which excels at generating legible text within images, addressing a common challenge in text-to-image models. Though FLUX.1 models can typically consume over 23GB of VRAM, NVIDIA has collaborated with Black Forest Labs to help reduce the size of these models using quantization — a technique that reduces model size while maintaining quality. The models were then accelerated with TensorRT, which provides an up to 2x speedup over PyTorch. To simplify using these models in ComfyUI, NVIDIA created the FLUX.1 NIM microservice, a containerized version of FLUX.1 that can be loaded in ComfyUI and enables FP4 quantization and TensorRT support. Combined, the models come down to just over 11GB of VRAM, and performance improves by 2.5x. Theriault uses the Blender Cycles app to render out final files. For 3D workflows, NVIDIA offers the AI Blueprint for 3D-guided generative AI to ease the positioning and composition of 3D images, so anyone interested in this method can quickly get started. Photorealistic renders. Image courtesy of FITY. Finally, Theriault uses large language models to generate marketing copy — tailored for search engine optimization, tone and storytelling — as well as to complete his patent and provisional applications, work that usually costs thousands of dollars in legal fees and considerable time. Generative AI helps Theriault create promotional materials like the above. Image courtesy of FITY. “As a one-man band with a ton of content to generate, having on-the-fly generation capabilities for my product designs really helps speed things up.” – Mark Theriault, founder of FITY Every texture, every word, every photo, every accessory was a micro-decision, Theriault said. AI helped him survive the “death by a thousand cuts” that can stall solo startup founders, he added. Each week, the RTX AI Garage blog series features community-driven AI innovations and content for those looking to learn more about NVIDIA NIM microservices and AI Blueprints, as well as building AI agents, creative workflows, digital humans, productivity apps and more on AI PCs and workstations.  Plug in to NVIDIA AI PC on Facebook, Instagram, TikTok and X — and stay informed by subscribing to the RTX AI PC newsletter. Follow NVIDIA Workstation on LinkedIn and X.  See notice regarding software product information. #startup #uses #nvidia #rtxpowered #generative
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    Startup Uses NVIDIA RTX-Powered Generative AI to Make Coolers, Cooler
    Mark Theriault founded the startup FITY envisioning a line of clever cooling products: cold drink holders that come with freezable pucks to keep beverages cold for longer without the mess of ice. The entrepreneur started with 3D prints of products in his basement, building one unit at a time, before eventually scaling to mass production. Founding a consumer product company from scratch was a tall order for a single person. Going from preliminary sketches to production-ready designs was a major challenge. To bring his creative vision to life, Theriault relied on AI and his NVIDIA GeForce RTX-equipped system. For him, AI isn’t just a tool — it’s an entire pipeline to help him accomplish his goals. Read more about his workflow below. Plus, GeForce RTX 5050 laptops start arriving today at retailers worldwide, from $999. GeForce RTX 5050 Laptop GPUs feature 2,560 NVIDIA Blackwell CUDA cores, fifth-generation AI Tensor Cores, fourth-generation RT Cores, a ninth-generation NVENC encoder and a sixth-generation NVDEC decoder. In addition, NVIDIA’s Plug and Play: Project G-Assist Plug-In Hackathon — running virtually through Wednesday, July 16 — invites developers to explore AI and build custom G-Assist plug-ins for a chance to win prizes. Save the date for the G-Assist Plug-In webinar on Wednesday, July 9, from 10-11 a.m. PT, to learn more about Project G-Assist capabilities and fundamentals, and to participate in a live Q&A session. From Concept to Completion To create his standout products, Theriault tinkers with potential FITY Flex cooler designs with traditional methods, from sketch to computer-aided design to rapid prototyping, until he finds the right vision. A unique aspect of the FITY Flex design is that it can be customized with fun, popular shoe charms. For packaging design inspiration, Theriault uses his preferred text-to-image generative AI model for prototyping, Stable Diffusion XL — which runs 60% faster with the NVIDIA TensorRT software development kit — using the modular, node-based interface ComfyUI. ComfyUI gives users granular control over every step of the generation process — prompting, sampling, model loading, image conditioning and post-processing. It’s ideal for advanced users like Theriault who want to customize how images are generated. Theriault’s uses of AI result in a complete computer graphics-based ad campaign. Image courtesy of FITY. NVIDIA and GeForce RTX GPUs based on the NVIDIA Blackwell architecture include fifth-generation Tensor Cores designed to accelerate AI and deep learning workloads. These GPUs work with CUDA optimizations in PyTorch to seamlessly accelerate ComfyUI, reducing generation time on FLUX.1-dev, an image generation model from Black Forest Labs, from two minutes per image on the Mac M3 Ultra to about four seconds on the GeForce RTX 5090 desktop GPU. ComfyUI can also add ControlNets — AI models that help control image generation — that Theriault uses for tasks like guiding human poses, setting compositions via depth mapping and converting scribbles to images. Theriault even creates his own fine-tuned models to keep his style consistent. He used low-rank adaptation (LoRA) models — small, efficient adapters into specific layers of the network — enabling hyper-customized generation with minimal compute cost. LoRA models allow Theriault to ideate on visuals quickly. Image courtesy of FITY. “Over the last few months, I’ve been shifting from AI-assisted computer graphics renders to fully AI-generated product imagery using a custom Flux LoRA I trained in house. My RTX 4080 SUPER GPU has been essential for getting the performance I need to train and iterate quickly.” – Mark Theriault, founder of FITY  Theriault also taps into generative AI to create marketing assets like FITY Flex product packaging. He uses FLUX.1, which excels at generating legible text within images, addressing a common challenge in text-to-image models. Though FLUX.1 models can typically consume over 23GB of VRAM, NVIDIA has collaborated with Black Forest Labs to help reduce the size of these models using quantization — a technique that reduces model size while maintaining quality. The models were then accelerated with TensorRT, which provides an up to 2x speedup over PyTorch. To simplify using these models in ComfyUI, NVIDIA created the FLUX.1 NIM microservice, a containerized version of FLUX.1 that can be loaded in ComfyUI and enables FP4 quantization and TensorRT support. Combined, the models come down to just over 11GB of VRAM, and performance improves by 2.5x. Theriault uses the Blender Cycles app to render out final files. For 3D workflows, NVIDIA offers the AI Blueprint for 3D-guided generative AI to ease the positioning and composition of 3D images, so anyone interested in this method can quickly get started. Photorealistic renders. Image courtesy of FITY. Finally, Theriault uses large language models to generate marketing copy — tailored for search engine optimization, tone and storytelling — as well as to complete his patent and provisional applications, work that usually costs thousands of dollars in legal fees and considerable time. Generative AI helps Theriault create promotional materials like the above. Image courtesy of FITY. “As a one-man band with a ton of content to generate, having on-the-fly generation capabilities for my product designs really helps speed things up.” – Mark Theriault, founder of FITY Every texture, every word, every photo, every accessory was a micro-decision, Theriault said. AI helped him survive the “death by a thousand cuts” that can stall solo startup founders, he added. Each week, the RTX AI Garage blog series features community-driven AI innovations and content for those looking to learn more about NVIDIA NIM microservices and AI Blueprints, as well as building AI agents, creative workflows, digital humans, productivity apps and more on AI PCs and workstations.  Plug in to NVIDIA AI PC on Facebook, Instagram, TikTok and X — and stay informed by subscribing to the RTX AI PC newsletter. Follow NVIDIA Workstation on LinkedIn and X.  See notice regarding software product information.
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  • In a world where animated dreams dance on the silver screen, Jellyfish Pictures has decided it’s time for a long nap. Yes, you read that right! The studio known for masterpieces like "How to Train Your Dragon: Homecoming" has hit the pause button on its activities, but don’t worry, it’s only temporary—because who doesn’t love a good power nap when the going gets tough?

    Now, one might wonder: what does it mean to “suspend” your work? Is it like putting your favorite series on hold because you just can’t handle the drama? Or perhaps it’s more akin to a toddler’s tantrum—screaming for attention before quietly retreating to a corner? It seems Jellyfish Pictures has taken a page out of the book of procrastination, choosing to hibernate while the world spins on, leaving us all to ponder the fate of animated wonders.

    Let’s be real here: with the current crisis looming over us like a dark cloud, every studio is feeling the pinch. But to "temporarily" suspend activities? That’s a bold move, friend. It’s almost as if they’re saying, “Hey, we’re too cool for this economy!” And who wouldn’t want to take a break? After all, we all deserve a vacation—even if it’s from our own creativity.

    Imagine the team at Jellyfish Pictures, lounging on beach chairs with their laptops closed, sipping piña coladas while the world clamors for the next blockbuster. “We’ll be back!” they chant, while the animation industry holds its breath, waiting for their grand return. Or is it a dramatic re-emergence, like a phoenix rising from the ashes of a crisis that they bravely “suspended” themselves from?

    And let’s not overlook the irony here. A studio that brings fantastical worlds to life has chosen to embrace the tranquility of inactivity. Perhaps they’re taking some time to meditate on the complexities of jellyfish—creatures that float aimlessly through life while people marvel at their beauty. A fitting metaphor, wouldn’t you say?

    So here’s to Jellyfish Pictures! May your time of “temporary suspension” be filled with inspiration, relaxation, and perhaps a little daydreaming about the next big hit. Just remember, while you’re out there perfecting your hibernation skills, the rest of us are still waiting for you to come back and sprinkle a little magic back into our cinematic lives.

    #JellyfishPictures #Animation #FilmIndustry #CrisisManagement #TemporarySuspension
    In a world where animated dreams dance on the silver screen, Jellyfish Pictures has decided it’s time for a long nap. Yes, you read that right! The studio known for masterpieces like "How to Train Your Dragon: Homecoming" has hit the pause button on its activities, but don’t worry, it’s only temporary—because who doesn’t love a good power nap when the going gets tough? Now, one might wonder: what does it mean to “suspend” your work? Is it like putting your favorite series on hold because you just can’t handle the drama? Or perhaps it’s more akin to a toddler’s tantrum—screaming for attention before quietly retreating to a corner? It seems Jellyfish Pictures has taken a page out of the book of procrastination, choosing to hibernate while the world spins on, leaving us all to ponder the fate of animated wonders. Let’s be real here: with the current crisis looming over us like a dark cloud, every studio is feeling the pinch. But to "temporarily" suspend activities? That’s a bold move, friend. It’s almost as if they’re saying, “Hey, we’re too cool for this economy!” And who wouldn’t want to take a break? After all, we all deserve a vacation—even if it’s from our own creativity. Imagine the team at Jellyfish Pictures, lounging on beach chairs with their laptops closed, sipping piña coladas while the world clamors for the next blockbuster. “We’ll be back!” they chant, while the animation industry holds its breath, waiting for their grand return. Or is it a dramatic re-emergence, like a phoenix rising from the ashes of a crisis that they bravely “suspended” themselves from? And let’s not overlook the irony here. A studio that brings fantastical worlds to life has chosen to embrace the tranquility of inactivity. Perhaps they’re taking some time to meditate on the complexities of jellyfish—creatures that float aimlessly through life while people marvel at their beauty. A fitting metaphor, wouldn’t you say? So here’s to Jellyfish Pictures! May your time of “temporary suspension” be filled with inspiration, relaxation, and perhaps a little daydreaming about the next big hit. Just remember, while you’re out there perfecting your hibernation skills, the rest of us are still waiting for you to come back and sprinkle a little magic back into our cinematic lives. #JellyfishPictures #Animation #FilmIndustry #CrisisManagement #TemporarySuspension
    Victime de la crise, Jellyfish Pictures aurait suspendu « temporairement » ses activités
    Un nouveau studio fait face à la crise. Jellyfish Pictures, studio d’animation et effets visuels basé au Royaume-Uni, aurait « suspendu » ses activités, nous apprend Animation Xpress.Il ne s’agirait cependant pas d’une fermeture déf
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  • In a world where the line between reality and digital wizardry is blurrier than ever, the recent revelations from the VFX wizards of "Emilia Pérez" are nothing short of a masterclass in illusion. Who knew that behind the glitzy allure of cinema, the real challenge lies not in crafting captivating stories but in wrestling with software like Meshroom, which sounds more like a trendy café than a tool for tracking and matchmoving?

    Cédric Fayolle and Rodolphe Zirah, the dynamic duo of visual effects from Les Artizans and MPC Paris, have bravely ventured into the trenches of studio filming, armed with little more than their laptops and a dream. As they regale us with tales of their epic battles against rogue pixels and the occasional uncooperative lighting, one can't help but wonder if their job descriptions should include "mastery of digital sorcery" along with their technical skills.

    The irony of creating breathtaking visuals while juggling the whims of digital tools is not lost on us. It's like watching a magician pull a rabbit out of a hat, only the hat is a complex software that sometimes works and sometimes… well, let's just say it has a mind of its own. Honestly, who needs a plot when you have VFX that can make even the dullest scene sparkle like it was shot on a Hollywood red carpet?

    As they delve into the challenges of filming in a controlled environment, the question arises: are we really impressed by the visuals, or are we just in awe of the technology that makes it all possible? Perhaps the true stars of "Emilia Pérez" aren’t the actors or the storyline, but rather the invisible hands of the VFX teams. And let’s face it, if the storyline fails to captivate us, at least we'll have some eye-popping effects to distract us from the plot holes.

    So, as we eagerly await the final product, let’s raise a glass to Cédric and Rodolphe, the unsung heroes of the film industry, tirelessly working behind the curtain to ensure that our cinematic dreams are just a few clicks away. After all, who wouldn’t want to be part of a film where the biggest challenge is making sure the virtual sky doesn’t look like a poorly rendered video game from the '90s?

    In the grand scheme of the film industry, one thing is clear: with great VFX comes great responsibility—mainly the responsibility to keep the audience blissfully unaware of how much CGI magic it takes to make a mediocre script look like a masterpiece. Cheers to that!

    #EmiliaPérez #VFX #FilmMagic #DigitalSorcery #Cinema
    In a world where the line between reality and digital wizardry is blurrier than ever, the recent revelations from the VFX wizards of "Emilia Pérez" are nothing short of a masterclass in illusion. Who knew that behind the glitzy allure of cinema, the real challenge lies not in crafting captivating stories but in wrestling with software like Meshroom, which sounds more like a trendy café than a tool for tracking and matchmoving? Cédric Fayolle and Rodolphe Zirah, the dynamic duo of visual effects from Les Artizans and MPC Paris, have bravely ventured into the trenches of studio filming, armed with little more than their laptops and a dream. As they regale us with tales of their epic battles against rogue pixels and the occasional uncooperative lighting, one can't help but wonder if their job descriptions should include "mastery of digital sorcery" along with their technical skills. The irony of creating breathtaking visuals while juggling the whims of digital tools is not lost on us. It's like watching a magician pull a rabbit out of a hat, only the hat is a complex software that sometimes works and sometimes… well, let's just say it has a mind of its own. Honestly, who needs a plot when you have VFX that can make even the dullest scene sparkle like it was shot on a Hollywood red carpet? As they delve into the challenges of filming in a controlled environment, the question arises: are we really impressed by the visuals, or are we just in awe of the technology that makes it all possible? Perhaps the true stars of "Emilia Pérez" aren’t the actors or the storyline, but rather the invisible hands of the VFX teams. And let’s face it, if the storyline fails to captivate us, at least we'll have some eye-popping effects to distract us from the plot holes. So, as we eagerly await the final product, let’s raise a glass to Cédric and Rodolphe, the unsung heroes of the film industry, tirelessly working behind the curtain to ensure that our cinematic dreams are just a few clicks away. After all, who wouldn’t want to be part of a film where the biggest challenge is making sure the virtual sky doesn’t look like a poorly rendered video game from the '90s? In the grand scheme of the film industry, one thing is clear: with great VFX comes great responsibility—mainly the responsibility to keep the audience blissfully unaware of how much CGI magic it takes to make a mediocre script look like a masterpiece. Cheers to that! #EmiliaPérez #VFX #FilmMagic #DigitalSorcery #Cinema
    Emilia Pérez : Les Artizans et MPC nous dévoilent les secrets des VFX !
    Nous vous proposons un retour en vidéo sur les effets visuels du film Emilia Pérez de Jacques Audiard, avec Cédric Fayolle (Superviseur VFX Général, Les Artizans) et Rodolphe Zirah (Superviseur VFX, MPC Paris). Le duo revient sur les défis d’un
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  • Laptops are everywhere, and for CAD work, you really just need something that runs the software without crashing. So, there are these three laptops that are supposedly perfect for CAD. They’re on sale, which is nice, I guess. But honestly, who has the energy to care that much about discounts?

    The first one is just a standard model, nothing fancy. It has a decent processor and enough RAM to handle basic CAD tasks. It’s probably fine for most people, though I can’t say it’s exciting. The screen is okay, I mean, it shows things. So, if you need to do some drafting, it might get the job done. But really, it’s just another laptop.

    Then there’s the second option, which is slightly better, I think. It has a bit more power, which might make it more suitable for heavier CAD applications. But honestly, if you’re just sketching out ideas, do you really need that? The battery life isn’t terrible, but you’ll probably still find yourself looking for an outlet halfway through the day.

    Lastly, there’s the third laptop, and it’s kind of a mixed bag. It’s got some features that are nice, like a touchscreen or whatever. But again, who actually uses that? The performance is solid if you’re into that sort of thing. But if you’re just doing the basics, you might not even notice the difference.

    So, yeah, these three laptops are marked as perfect for CAD. They’re discounted, which might be a reason to look at them. But honestly, if you’re not super into CAD or just need something to get by, any random laptop will probably do. Just pick one, and let’s move on with life.

    #CAD #Laptops #DiscountedPrices #TechBoredom #ProductRecommendations
    Laptops are everywhere, and for CAD work, you really just need something that runs the software without crashing. So, there are these three laptops that are supposedly perfect for CAD. They’re on sale, which is nice, I guess. But honestly, who has the energy to care that much about discounts? The first one is just a standard model, nothing fancy. It has a decent processor and enough RAM to handle basic CAD tasks. It’s probably fine for most people, though I can’t say it’s exciting. The screen is okay, I mean, it shows things. So, if you need to do some drafting, it might get the job done. But really, it’s just another laptop. Then there’s the second option, which is slightly better, I think. It has a bit more power, which might make it more suitable for heavier CAD applications. But honestly, if you’re just sketching out ideas, do you really need that? The battery life isn’t terrible, but you’ll probably still find yourself looking for an outlet halfway through the day. Lastly, there’s the third laptop, and it’s kind of a mixed bag. It’s got some features that are nice, like a touchscreen or whatever. But again, who actually uses that? The performance is solid if you’re into that sort of thing. But if you’re just doing the basics, you might not even notice the difference. So, yeah, these three laptops are marked as perfect for CAD. They’re discounted, which might be a reason to look at them. But honestly, if you’re not super into CAD or just need something to get by, any random laptop will probably do. Just pick one, and let’s move on with life. #CAD #Laptops #DiscountedPrices #TechBoredom #ProductRecommendations
    3 laptops perfect for CAD – and they're all discounted
    Recommendations straight from the experts.
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