PHI'm planning to build or buy a server for AI and Machine Learning workloads, including LLM training and fine-tuning, local AI development, ML research, containerized applications, and hosting multiple AI services. I'm looking for a scalable setup that can support both current projects and future growth.
I'm trying to determine the most cost-effective hardware configuration and would like recommendations on:
• CPU (core count vs clock speed)
• GPU (NVIDIA models, VRAM requirements, single vs multiple GPUs)
• RAM capacity
• Storage setup (NVMe, SSD, RAID recommendations)
• Motherboard and PCIe lane considerations
• Power supply sizing
• Cooling requirements
• Whether to build a workstation or a rack-mounted server
Thank you in advance
I'm trying to determine the most cost-effective hardware configuration and would like recommendations on:
• CPU (core count vs clock speed)
• GPU (NVIDIA models, VRAM requirements, single vs multiple GPUs)
• RAM capacity
• Storage setup (NVMe, SSD, RAID recommendations)
• Motherboard and PCIe lane considerations
• Power supply sizing
• Cooling requirements
• Whether to build a workstation or a rack-mounted server
Thank you in advance