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ok both torch and cuda
>>> import torch
>>> print(torch.__version__)
2.10.0+cu130

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headsets (3)
#Logitech-G-PRO-X-headset

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virus protection
#Norton-360-for-Gamers

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SDD hard disk
#Samsung-870.EVO-SSD-4TB-2.5"-SATA3-SSD-hard-disk

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CPU
#AMD-Ryzen-9-9900X

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LAN
#Asus-XG-C100C-V2-10Gb

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SDD mobo
#Kingston-NV3-PCIe-4.0-NVMe-1TB-M.2-SSD

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RAM
#Kingston-FURY-Beast-DDR5-5600-MHz-CL40-16Gb (2x)

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SATA 3 HDD
#Seagate-IRONWOLF-PRO-4TB-SATAIII

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CPU cooler
#Noctua-NH-D15-G2-CPU-cooler

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ssd mobo
#Samsung-990-PRO-2TB-M.2-NVMe-SSD

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mouse
#Logitech-G502-X-Plus-Lightspeed

0 0 0 0

keyboard
#SteelSeries-Apex-Pro-Gen-3

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PSU
#Corsair-RM1000x-ATX-3.1

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Game Display DP
#Blackstorm-34-UWQHD

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display HDMI
#Samsung-ViewFinity-S6-S34C650U-34-UWQHD

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GPU
#GeForce-RTX-5060

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case
#bequiet-pro-901

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motherboard
#rog-strix-x870-f-gaming-wifi

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installed
#Cuda-compilation-tools
release 13.2, V13.2.51
and
#Build-cuda_13.2.r13.2/compiler.37434383_0

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python -m pip install nvidia-cuda-cuda-tileiras

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python -m pip install cuda-tile=1.0.0rc6

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installed
Cuda compilation tools,
release 13.2, V13.2.51 and
Build cuda_13.2.r13.2/compiler.37434383_0
+ ok

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python -m pip install nvidia-cuda-cuda-tileiras
+ ok

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#bequiet-pro-901
connected smartphone to #front-io-panel

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Preview
cuda-tile CUDA Tile Compiler


python -m pip install cuda-tile=1.0.0rc6

ref:
pypi.org/project/cuda...

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python -m pip install cuda-tile=1.0.0rc6

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Δ
Monitor Routing
¿
Connect DisplayPort and HDMI cables
directly to
ROG STRIX X870-F Gaming WiFi
motherboard's rear I/O ports
to leverage
Ryzen iGPU
connected so

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¿
#Headless-Operation

Since RTX 5060 is "headless,"
you should use
#AMD-Ryzen-9-9900X-iGPU
(Radeon chip)
to drive dual-monitor setup
(Blackstorm 34" and
Samsung ViewFinity S6)
done so

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¿
#Power
#Portable-screens often power themselves
via a second USB-C port.
You can use
#USB-Type-C-port with
#30W-PD-Fast-charge
on
#rog-strix-x870-f-gaming-wifi
motherboard's rear I/O
to provide power with a single cable
is free (marked with lightning)

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