Running 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

SHIFTING CURRENTS IN COMPUTATIONAL LATTICES

New NVIDIA CUDA Toolkit 12.2 features improve Python GPU programming. Learn how this helps developers run complex calculations faster on NVIDIA GPUs.

#NVIDIACUDA, #GPUcomputing, #PythonDev, #TechUpdate, #ParallelProcessing

https://newsletter.tf/nvidia-cuda-toolkit-12-2-python-gpu-computing/

NVIDIA's CUDA Toolkit 12.2 is out, offering new tools that make running complex calculations on GPUs much easier for Python developers.

#NVIDIACUDA, #GPUcomputing, #PythonDev, #TechUpdate, #ParallelProcessing
https://newsletter.tf/nvidia-cuda-toolkit-12-2-python-gpu-computing/

NVIDIA CUDA Toolkit 12.2 Updates Boost Python GPU Computing

New NVIDIA CUDA Toolkit 12.2 features improve Python GPU programming. Learn how this helps developers run complex calculations faster on NVIDIA GPUs.

NewsletterTF

ENGYS Bets Big on GPU Computing for Simulation Edge

ENGYS is hiring C++ developers with GPU experience to speed up simulation software. Formula 1 teams could see 3x better performance.

#GPUcomputing, #SimulationSoftware, #Formula1, #ENGYS, #DeveloperJobs

https://newsletter.tf/engys-hires-gpu-developers-for-simulation/

ENGYS hires C++ developers for faster simulation software using GPUs

ENGYS is hiring C++ developers with GPU experience to speed up simulation software. Formula 1 teams could see 3x better performance.

NewsletterTF

ENGYS is looking for C++ developers with GPU experience to make simulation software faster. This could lead to 3x better performance for Formula 1 teams compared to older systems.

#GPUcomputing, #SimulationSoftware, #Formula1, #ENGYS, #DeveloperJobs
https://newsletter.tf/engys-hires-gpu-developers-for-simulation/

ENGYS hires C++ developers for faster simulation software using GPUs

ENGYS is hiring C++ developers with GPU experience to speed up simulation software. Formula 1 teams could see 3x better performance.

NewsletterTF

Lilac - MLOps platform for distributed GPU workloads (@LilacML)

Cossmology Profile: https://dub.sh/iwaArlx

Key People: Ryan Ewing, Lucas Ewing

#GPUComputing #OpenSource #OSS #COSS

Setting 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

Unlock the full power of virtualization with GPU passthrough in Microsoft Hyper-V.
Give VMs direct GPU power for AI, VDI, and graphics-intensive workloads.

Learn how it works.
https://zurl.co/K3uXp

#HyperV #GPUComputing #Virtualization #VDI #AIInfrastructure #Microsoft #ITInfrastructure

Small 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

🔬 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

đź”— https://aidailypost.com/news/ai-researchers-reveal-token-warehousing-strategy-cut-gpu