Row 4873

Row ID: 4873 | Dataset Entry | Axioma AXP Content Repository

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Hi, I am in the process of buying my first 'real' ML PC and here is what I have so far:

Motherboard: B650 DDR5

RAM: 32GB DDR5

GPU: RTX 4060 Ti 16GB

CPU: AMD Ryzen 9-7900

PSU: Force 80+ Bronze 850W

My main concern is whether this build is future proof or not and since I don't really know how to read the all the specifications I had a few questions/statements.

Is there any obvious bottleneck on any of the above?

This motherboard can take up to 128GB of ram for future upgrade.

I can add more SSD memory since there are (?) two M.2 slots.

My main use case is machine learning work and mainly computer vision (YOLO etc) but I'd also like to run some LLMs locally if possible (llama).

There is only one PCI x16 slot so only one 4060 can be mounted. I guess the cost would dramatically go up for the motherboard if I wanted to add one more?

Oh and also, the 4060ti is a better option than the 4070 cause of the extra VRAM, correct?

Would an H610 with i7-14700f be a better option?

thanks

FieldValue
text Hi, I am in the process of buying my first 'real' ML PC and here is what I have so far: Motherboard: B650 DDR5 RAM: 32GB DDR5 GPU: RTX 4060 Ti 16GB CPU: AMD Ryzen 9-7900 PSU: Force 80+ Bronze 850W My main concern is whether this build is future proof or not and since I don't really know how to read the all the specifications I had a few questions/statements. Is there any obvious bottleneck on any of the above? This motherboard can take up to 128GB of ram for future upgrade. I can add mo…
label r/deeplearning
dataType post
communityName r/deeplearning
datetime 2024-04-23
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Raw Record

{
  "text": "Hi, I am in the process of buying my first 'real' ML PC and here is what I have so far:\n\nMotherboard: B650 DDR5\n\nRAM: 32GB DDR5\n\nGPU: RTX 4060 Ti 16GB\n\nCPU: AMD Ryzen 9-7900\n\nPSU: Force 80+ Bronze 850W\n\nMy main concern is whether this build is future proof or not and since I don't really know how to read the all the specifications I had a few questions/statements.\n\nIs there any obvious bottleneck on any of the above?\n\nThis motherboard can take up to 128GB of ram for future upgrade.\n\nI can add more SSD memory since there are (?) two M.2 slots.\n\nMy main use case is machine learning work and mainly computer vision (YOLO etc) but I'd also like to run some LLMs locally if possible (llama).\n\nThere is only one PCI x16 slot so only one 4060 can be mounted. I guess the cost would dramatically go up for the motherboard if I wanted to add one more?\n\nOh and also, the 4060ti is a better option than the 4070 cause of the extra VRAM, correct?\n\nWould an H610 with i7-14700f be a better option?\n\nthanks",
  "label": "r/deeplearning",
  "dataType": "post",
  "communityName": "r/deeplearning",
  "datetime": "2024-04-23",
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  "url_encoded": "Z0FBQUFBQm5Lak9GOV96cnZYQTNkejBFUWhXQ2hDME9aSDFJRUV6UkJXQ2NaT1NIZVllMFNxSkx6QXo5dk1hT3N5ZnRMNUVMLTJFdHR4NlliazdrOVRlYWlPUldhMWxfQUFYWWhjVFBPSXJINUs4clFCSUo0a0ZYN2VtRGhTYW5zdXF4bF9CUlE0NVMwemRQamEyMUhJRHZTbVJnRzctSy1EM0l4ODFvS0dLaUdHNWNZNDQ4dTh3PQ=="
}
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