gulifare2A NVIDIA atualizou os valores da RTX Pro 6000 Ada Generation. O novo ajuste reflete mudanças no mercado de hardware de alta performance:
• Reajuste global de preços
• Foco em workflows profissionais
• Impacto direto no setor de IA e renderização
Hacker NewsUse your Nvidia GPU's VRAM as swap space on Linux
https://github.com/c0dejedi/nbd-vram
#HackerNews #NvidiaGPU #VRAM #LinuxSwap #GPUComputing #TechTips #OpenSource
GitHub - c0deJedi/nbd-vram: Use your NVIDIA GPU's VRAM as swap space on Linux. Built for laptops with soldered memory and no upgrade path. If you have an RTX card sitting there with 8GB of VRAM and you're getting swapped to SSD, this puts that VRAM to work
Use your NVIDIA GPU's VRAM as swap space on Linux. Built for laptops with soldered memory and no upgrade path. If you have an RTX card sitting there with 8GB of VRAM and you're getting swap...
Alex S.Dell just reported $16.1B in AI server revenue up 757% year-over-year — with $24.4B in new orders and a $60B full-year forecast. The bigger story: enterprise AI has crossed from pilot projects into production infrastructure. The new constraints aren't models or software. They're power, cooling, memory, and rack density.
https://jefftech.substack.com/p/dells-ai-server-revenue-surged-757what
#ArtificialIntelligence #EnterpriseAI #DataCenter #AIInfrastructure #ServerHardware #ITAD #CloudComputing #LiquidCooling #GPUComputing #AIBusiness #tech
https://jefftech.substack.com/p/dells-ai-server-revenue-surged-757what
#ArtificialIntelligence #EnterpriseAI #DataCenter #AIInfrastructure #ServerHardware #ITAD #CloudComputing #LiquidCooling #GPUComputing #AIBusiness #tech
CTCserversRunning heavy AI workloads? 🧠 Standard CPUs won't cut it. Discover why Dedicated GPU Servers are essential for deep learning, offering unmatched power, top-tier security, and 100% exclusive resources over shared hosting. 🚀💻
Read More... https://www.ctcservers.com/blogs/ai-gpu-dedicated-servers/
#AI #MachineLearning #DedicatedServers #GPUComputing #ctcservers
Chinstrap CommunityLilac - MLOps platform for distributed GPU workloads (@LilacML)
Cossmology Profile: https://dub.sh/iwaArlx
Key People: Ryan Ewing, Lucas Ewing
eServersSetting up an AI/ML environment from scratch?
We just published a comprehensive 7-step guide on configuring an Ubuntu bare-metal NVIDIA GPU server.
We cover the exact bash commands for:
Installing proprietary NVIDIA drivers
Setting up Miniconda
Installing PyTorch & TensorFlow with full CUDA support
Read the full technical tutorial here:
https://www.eservers.uk/tutorials/howto/set-up-ai-ml-environment-gpu-server/
#MachineLearning #AI #PyTorch #TensorFlow #Ubuntu #Linux #DataScience #DevOps #GPUComputing #OpenSource
PsychoticSheepSmall making-of of my “True Beauty Is So Painful” piece (listening to “True Beauty Is So Painful” by Oomph! in the background), because “AI art = just pressing a button” is still a thing.
Here I’m showing briefly (15 MB max file upload) my SDXL workflow in ComfyUI, from node structure to model choice to parameters.
LoRAs in this setup are only linked to the positive prompt, because I wanted to fine-tune their weights there specifically, without affecting the negative prompt.
During rendering, I ran in parallel:
- GPU load with radeontop, you can clearly see how on RDNA2 everything (matrix multiplications, convs, etc.) runs over the shaders
- Temperatures & power states briefly shown with corectrl
Peak at 187 W, hotspot briefly at 97 °C
RDNA2 doing RDNA2 things…
Video workflow:
- recorded with OBS
- edited in Kdenlive
- transcoded with VAAPI (H.264)
No cloud, just decisions, iteration and real hardware.
Everything runs on Linux + ComfyUI (FOSS), so anyone can set this up.
No GPU? No problem, you can also run it using PyTorch’s CPU backend, just much slower.
#AIArt #ComfyUI #SDXL #stablediffusion #LoRA #FOSS #Linux #AMD #RDNA2 #GPUComputing #OpenSource #AIWorkflow #OBS #Kdenlive #VAAPI #DigitalArt #MakingOf #AIProcess #NoCloud
Here I’m showing briefly (15 MB max file upload) my SDXL workflow in ComfyUI, from node structure to model choice to parameters.
LoRAs in this setup are only linked to the positive prompt, because I wanted to fine-tune their weights there specifically, without affecting the negative prompt.
During rendering, I ran in parallel:
- GPU load with radeontop, you can clearly see how on RDNA2 everything (matrix multiplications, convs, etc.) runs over the shaders
- Temperatures & power states briefly shown with corectrl
Peak at 187 W, hotspot briefly at 97 °C
RDNA2 doing RDNA2 things…
Video workflow:
- recorded with OBS
- edited in Kdenlive
- transcoded with VAAPI (H.264)
No cloud, just decisions, iteration and real hardware.
Everything runs on Linux + ComfyUI (FOSS), so anyone can set this up.
No GPU? No problem, you can also run it using PyTorch’s CPU backend, just much slower.
#AIArt #ComfyUI #SDXL #stablediffusion #LoRA #FOSS #Linux #AMD #RDNA2 #GPUComputing #OpenSource #AIWorkflow #OBS #Kdenlive #VAAPI #DigitalArt #MakingOf #AIProcess #NoCloud
AI Daily Post🔬 Breaking research shows how AI labs are revolutionizing computational efficiency! Token warehousing strategy could dramatically reduce GPU processing waste in large language models. Researchers uncover innovative techniques that might reshape machine learning infrastructure. Fascinating insights into cutting-edge AI optimization! #AI #MachineLearning #GPUComputing #LargeLanguageModels
🔗 https://aidailypost.com/news/ai-researchers-reveal-token-warehousing-strategy-cut-gpu
Reddit Tech VN BotNgười dùng đang tìm cách triển khai suy luận cục bộ cho mô hình lớn Qwen2.5-72B trên 2 GPU L40 (48GB VRAM mỗi chiếc) nhưng gặp trở ngại. Khi dùng Huggingface, quá trình bị treo, còn vLLM thì báo lỗi khởi tạo WorkerProc. Anh ấy đang tìm kiếm các gợi ý để giải quyết vấn đề phân chia mô hình và tăng tốc suy luận trên hệ thống đa GPU.
#LLM #AITech #vLLM #Huggingface #LocalInference #GPUComputing #Qwen2_5_72B
https://www.reddit.com/r/LocalLLaMA/comments/1q7gr9w/local_inference_with_big_model_shared_
German Virtual ObservatoryNew in the #VirtualObservatory: “Order Computational and Storage Resources at FAI” by Fesenkov Astrophysical Institute
https://dachs.fai.kz/soft_order_sims/q/compres/info
#AstronomicalInstrumentation #ComputationalAstronomy #GpuComputing #AutomatedTelescopes
https://dachs.fai.kz/soft_order_sims/q/compres/info
#AstronomicalInstrumentation #ComputationalAstronomy #GpuComputing #AutomatedTelescopes