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- 2 Sep 2013
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- 2,300
So I am looking to grab an NVidia GPU (RTX 3060 with 12GB VRAM) so I have access to CUDA so I can test out some other Deep Learning software (Main rig is AMD entirely). I was originally intending to grab this GPU with the replacement secondary system (HTPC/Gaming/parts backup for main/Now Storage) PC. But that may need to take a little longer given the AMD CPU/Motherboard issue at the moment (cost too).
The secondary rig is a:
CPU: i5 3570 (non K) running at 4Ghz boost
RAM: 32GB DDR3 1600Mhz memory
Motherboard: Gigabyte Z77 D3H 1.1
Storage: SATA2 500GB SSD (Boot), SATA3 RAID0 SSDs (2x 250GB for fast storage)
GPU: RX580 8GB (In Gen 3 X16 Slot, direct access to CPU)
Network: Gigabit onboard + 10Gb PCIe card (In Gen 2 x 4 Slot)
TV: LG CX
My questions are:
If I should swap the GPU and 10g card around (the 10g card maxes out at 6Gbps in the x4 slot, but goes full speed in x16 slot)?
If I grab the RTX 3060 12GB would it be too limited by the Gen 2 x 4 slot for gaming or CUDA Deep Learning duties?
Thanks all.
The secondary rig is a:
CPU: i5 3570 (non K) running at 4Ghz boost
RAM: 32GB DDR3 1600Mhz memory
Motherboard: Gigabyte Z77 D3H 1.1
Storage: SATA2 500GB SSD (Boot), SATA3 RAID0 SSDs (2x 250GB for fast storage)
GPU: RX580 8GB (In Gen 3 X16 Slot, direct access to CPU)
Network: Gigabit onboard + 10Gb PCIe card (In Gen 2 x 4 Slot)
TV: LG CX
My questions are:
If I should swap the GPU and 10g card around (the 10g card maxes out at 6Gbps in the x4 slot, but goes full speed in x16 slot)?
If I grab the RTX 3060 12GB would it be too limited by the Gen 2 x 4 slot for gaming or CUDA Deep Learning duties?
Thanks all.