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Grilled Cheese is a product of Village Compute

Version devBuilt at: 2026-10-17 14:54:11 EDT

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@5h15h.bsky.socialSep 13, 2026, 10:30 PM

Run #CUDA-targeted Windows applications on #AMD #GPUs through ZLUDA + ROCm/HIP github.com/Speedstu/CUD...

#GPU #AI

@hgpu.bsky.socialSep 13, 2026, 9:27 PM

Taming Bitwise Behavior in GPU Kernels with Tensor Core: Black-Box Reconstruction, Compiler Enforcement, and Static Verification

#CUDA #PTX #Triton

hgpu.org?p=31199

@hgpu.bsky.socialSep 13, 2026, 9:26 PM

Every Kernel Is a Join: Automatic Multi-GPU Parallelism for AI Computations in Einsummable

#CUDA #Triton #LLM #AI #Package

hgpu.org?p=31197

@hgpu.bsky.socialSep 13, 2026, 9:25 PM

Hardware-Aware FP4 FlashAttention-4

#CUDA #PTX #FP4 #Package

hgpu.org?p=31196

@pcmasterinsider.bsky.socialSep 13, 2026, 8:16 PM

NVIDIA has officially expanded CUDA Toolkit 13.4 to Windows on Arm, unlocking native GPU acceleration for developers.

https://pcmasterinsider.com/nvidia-cuda-toolkit-windows-on-arm/

#NVIDIA #CUDA #WindowsOnArm #TechNews

@javimosch.bsky.socialSep 13, 2026, 5:44 PM

🔌 cuda: cuda — NVIDIA CUDA system 🔗 https://github.com/javimosch/supercli #cuda #supercli

@pitcrewgg.bsky.socialSep 13, 2026, 5:18 PM

🔄 OCCT - Update Notes for Version 17.1.2

store.steampowered.com/news/app/351...

#OCCT #OpenCL #Linux #LinuxGaming #PCGaming #AMD #Intel #Mesa #Radeon #Vulkan #CUDA #GeForce #NVIDIA #RTXOn #Vulkan

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@pitcrewgg.bsky.socialSep 10, 2026, 12:47 PM

🔄 NVIDIA - Driver 615.71.09 Enhances Vulkan and Proton Support with Reflex

www.gamingonlinux.com/2026/09/nvid...

#Linux #LinuxGaming #PCGaming #CUDA #GeForce #NVIDIA #RTXOn #Vulkan

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@pitcrewgg.bsky.socialSep 10, 2026, 12:42 PM

🔄 OCCT - Update Notes for Version 17.1.1.

store.steampowered.com/news/app/351...

#OCCT #OpenCL #Linux #LinuxGaming #PCGaming #AMD #Intel #Mesa #Radeon #Vulkan #CUDA #GeForce #NVIDIA #RTXOn #Vulkan

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@hardwarebriefcom.bsky.socialSep 10, 2026, 12:27 PM

NVIDIA Releases CUDA 13.4 with Windows-on-Arm Support

#CUDA #Nvidia #WindowsonARM #VeraRubin #PTX

@pitcrewgg.bsky.socialSep 10, 2026, 8:30 AM

🔄 OCCT - Update Notes for Version 17.1.0

store.steampowered.com/news/app/351...

#OCCT #OpenCL #Linux #LinuxGaming #PCGaming #AMD #Intel #Mesa #Radeon #Vulkan #CUDA #GeForce #NVIDIA #RTXOn #Vulkan

Photo, no description
@cheerchain.bsky.socialSep 10, 2026, 6:36 AM

Bandicam 2027 1-PC 授權 (商務版,永久授權,下載版)

#Bandicam 是最佳的 #遊戲、 #影片、#電腦螢幕 #錄製工具! 高畫質影片,容量很小的檔案,電腦執行速度不會變慢的高性能工具! #DirectX #OpenGL #Nvidia #CUDA #Intel #AMD #IPTV #網路攝影機 #Facebook

www.cheerchain.com.tw/zh/product_2...

@ai-bloom.warp-studio.comSep 9, 2026, 9:39 PM

CUDA Toolkit 13.4技術解説:Windows on Arm対応とGPU共有リソース管理の進化

CUDA 13.4が登場。Windows on Arm対応と共有GPUの制御強化を詳説。

#CUDA #GPUComputing #WindowsonArm #HPC #SystemProgramming

@hardwarebriefcom.bsky.socialSep 9, 2026, 12:47 PM

Manli Debuts UF RTX 5060 Series for 30th Anniversary

#Nvidia #Blackwellmicroarchitecture #CUDA #DisplayPort

@hardwarebriefcom.bsky.socialSep 8, 2026, 6:25 PM

Nvidia RTX 5070 May Get Larger GB203 GPU Variant

#Nvidia #GeForce #GPU #CUDA #GDDR7SDRAM

@ai-bloom.warp-studio.comSep 8, 2026, 3:35 PM

CUDA Rust:NVIDIAがGPUカーネル開発に2つの新アプローチを導入

NVIDIAがRustでGPUカーネルを直接記述するための2つのトラックを発表。

#CUDA #Rust #GPUプログラミング #並列コンピューティング #NVIDIA

@whisprnews.bsky.socialSep 8, 2026, 9:29 AM

🚨 #GPUThor atraviesa el ECC de las GPUs #Nvidia Ampere: investigadores de la Universidad de Toronto multiplican por 23.500 las inversiones de bits y convierten código #CUDA sin privilegios en acceso root. No hay parche.

gputhor-atraviesa-el-ecc-de-nvidia-y-convierte-un-programa-c-880685d5-5dae-43c7-bca4-13feb525c970-1788849129251.jpg
@advancedcomputing.bsky.socialSep 7, 2026, 7:16 AM

Today's the last chance to register for our online
“N‑Ways to GPU Programming Bootcamp” (14–15 Sept 2026).

Intro to #CUDA, #OpenACC / #OpenMP, GPU‑accelerated C++/Fortran and Python, plus #Nsight Systems and a #CFD code challenge on an A100 #GPU.

events.asc.ac.at/event/352/

#HPC #supercomputing

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@p3ngu1nzz.bsky.socialSep 3, 2026, 2:11 AM

Many years of #ai #research has gone into developing this model, our initial results show this novel architecture to be >10x more efficient than transformers. 10x efficiency means less energy for greater results. all trained locally without python or #CUDA. #amd compatible. excited to run on MI300X