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HA8 x GPU Ai Server 🤖
Nvidia A100 💥
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#Ibm Serverless Computing Gpu Workloads
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FLMythbusters x NVIDIA: GPU Power Unleashed ⚡🎬
Adam Savage and Jamie Hyneman, the legendary Mythbusters, took the stage at an NVIDIA conference to showcase the raw power of GPU computing. 🚀
Through hands-on experiments, they demonstrated how GPUs process massive amounts of data at lightning speed—transforming industries from gaming to AI.
If you’ve ever wondered how GPU computing works, this was the ultimate crash course! 🎥
Who else remembers this epic moment? 🔥👇
For more insights on wealth, business, and success, follow @calminmotivation and take your journey to the next level ✴️!#nvidia #jensenhuang #cpu #gpu #innovation #thinkbig #enterpreneurship #viral #explorepage
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HAThis customer wanted a maxed-out AI-ready PC, and we delivered with dual GPUs for maximum performance. 💪
A lot of you asked, “What’s the point of two GPUs?” Well, here’s why it makes a huge difference:
AI & Machine Learning: Two GPUs drastically reduce training time and improve parallel processing, perfect for deep learning and LLMs.
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It’s a serious tool for serious computing, in other words, it’s a flex:)
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ROStorage IBM FlashSystem 5000, linha FlashSystem 5015
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IBThe IBM z17 has arrived. 🚀
Process 50% more AI operations per day with the new IBM Telum II processor. Discover how the z17 brings AI to the core of your business at the link in bio.
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VIReady to power the future of AI? ⚡
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@vipera.llc
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DEAt NVision ’08, MythBusters’ Jamie and Adam showcased GPU performance by recreating the Mona Lisa using thousands of paintballs.
Built on GPU-style parallel processing, completed the same portrait in 80 miliseconds.
The demo perfectly illustrated how GPUs revolutionize visual computing, transforming massive workloads into real-time creative power.
Follow for daily breakthroughs at the intersection of AI and technology.
➕ ⚙️ @deepen.ai
Credit: MythBusters / NVision ’08
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@deepen.ai
269.0K
ITComment “GPU” for the open source link
Software engineer just built a working GPU from scratch in 2 weeks with zero GPU design experience
A software engineer just built a working GPU from scratch in two weeks with zero prior GPU design experience Not a simulation Not a concept
Meet Adam Majmudar He coded the entire thing in Verilog using a one hundred thirty nanometer process Thats ancient technology From two thousand and one
But heres the problem nobody talks about GPU design is completely locked down by NVIDIA and AMD Almost zero public documentation exists So he had to figure it out himself Reverse-engineering frameworks Teaching himself from scratch with no resources
Adam figured out something no solo engineer has ever done at this scale He built a minimal GPU focused on parallel computing Matrix math that powers machine learning Custom memory management A dispatcher organizing threads into blocks A scheduler that required multiple rewrites before it actually worked
Heres where it gets insane He passed verification through OpenLane EDA software Then submitted it to Tiny Tapeout for actual physical manufacturing This isnt competing with modern GPUs Its proof that one person can understand silicon architecture from the ground up
But the craziest part The entire project is open source
**Hashtags:**
#GPU #AdamMajmudar #OpenSourceGPU #Verilog #ChipDesig
@itsnicconley
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ANYes, you can run your quantum algorithm in an IBM quantum computer from your personal computer.
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How can you run a quantum algorithm? Well, learn it first from IBM’s Qiskit learning materials and once you know how to implement it using Qiskit (a quantum software development kit), you can deploy quantum algorithms yourselves using Qiskit code.
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AINVIDIA RTX PRO Servers are enterprise data center systems powered by RTX PRO 6000 Blackwell Server Edition GPUs, designed to accelerate AI, graphics, and scientific computing workloads.
Built on Blackwell architecture, they feature up to eight GPUs per server, each with 96GB of ultra-fast GDDR7 memory, fifth-generation Tensor Cores delivering 3x faster AI performance, and fourth-generation RT Cores for ray tracing.
Available in 2U, 4U, and 6U configurations from Dell, HPE, Lenovo, Supermicro, and Cisco, these passively-cooled servers support applications spanning agentic AI, LLM inference, digital twins, 3D rendering, and industrial simulation. They integrate NVIDIA AI Enterprise software, support multi-instance GPU for isolated workloads, and offer up to 600W configurable power consumption per GPU with PCIe Gen 5 connectivity.
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Source: NVIDIA on Youtube
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@ai.blends
604.8K
10You can now run a 70 billion parameter AI model with a graphics card that has just 4 gigs of RAM.
This is AirLLM, a tool that lets you run huge AI models on small systems by loading only tiny parts of the model into memory at a time.
@100xengineers
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CLInside an AI GPU Server 🧠🖥️
Ever wondered what powers modern AI and cloud services?
Behind every chatbot, game server and streaming platform — racks of machines full of RAM and NVIDIA GPUs working 24/7.
From installing memory to sliding those massive accelerators into place — this is what real “cloud power” looks like.
Save this if you dream about building your own lab one day 😉
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Внутри сервера для ИИ 🧠🖥️
Задумывался, что стоит за ИИ-чатами, играми и стримингом?
За кадром — стойки серверов, забитые оперативкой и видеокартами NVIDIA, которые пашут 24/7.
От установки памяти до монтажа мощных GPU — так выглядит настоящая «облачная мощность».
Сохраняй, если мечтаешь собрать свой серверный лаб дома 😉
#server #servers #gpu #nvidia #datacenter #cloud #cloudcomputing #sysadmin #devops #networking #homelab #itlife #techreels #ai #machinelearning #infrastructure #itpro #itmemes
@cloudcity.center
✨ #Ibm Serverless Computing Gpu Workloads Keşif Rehberi
Instagram'da #Ibm Serverless Computing Gpu Workloads etiketi altında thousands of paylaşım bulunuyor ve platformun en canlı görsel ekosistemlerinden birini oluşturuyor. Bu devasa koleksiyon, şu an gerçekleşen trend anları, yaratıcı ifadeleri ve küresel sohbetleri temsil ediyor.
En yeni #Ibm Serverless Computing Gpu Workloads videolarını keşfetmeye hazır mısınız? Bu etiket altında paylaşılan en etkileyici içerikleri, giriş yapmanıza gerek kalmadan görüntüleyin. Şu an @flywealthco, @hall_of_tech and @anishgiri_ tarafından paylaşılan Reels videoları toplulukta büyük ilgi görüyor.
#Ibm Serverless Computing Gpu Workloads dünyasında neler viral? En çok izlenen Reels videoları ve viral içerikler yukarıda yer alıyor. Yaratıcı hikaye anlatımını, popüler anları ve dünya çapında milyonlarca görüntüleme alan içerikleri keşfetmek için galeriyi inceleyin.
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