In 2025, almost every week some new AI model resealing in Hugging Face. Most of which are fine-tuned versions of large language models such as ChatGPT, Llama, or other open-source variants.
However, when it's comes to handling sensitive data and generating highly specific outputs, nowadays most of the company, lab or researchers, specially in like sectors medical, healthcare, finance, trying to develop their own custom made AI Agent or model, tailored to their unique requirements and build their AI infrastructures.
Focusing on Privacy and Security is the main reason to adopt this practice, especially for companies in heavily regulated sectors like healthcare and finance. Also, building in house AI infrastructures helps in cost optimization. Initial setup might cost a lot but Private AI gives lower long-term operational costs, optimized infrastructure investment, and reduced dependency on external providers. It also offers higher accuracy, shameless integration, better data governance, which help to achieve more reliable, context-aware results that directly enhance business operations.
But when I search online there are relatively few videos and blogs. Most of them are, some tech reviewer review big giant corporation's pre-build AI laptop or desktop server what they offers to consumer. Very few actually build this type of PC from scratch. But the adopting the private AI Infrastructures culture increases day by day.
Fortunately, there are exceptions. In YouTube I found a channel named PC Builders Bangladesh, with video, where they build a PC specifically designed for private AI infrastructures targeting sectors like healthcare and finance They give a huge efforts to build this. Total cost of this build** $16,930–$17,400 USD**. Their content provides practical insights for organizations and individuals interested in building their own AI infrastructure with moderate budget.
Here you can watch the entire build-
So, what component they use to build this PC?
They use AMD Ryzen Threadripper 7980X as processor. This is the perfect things for the job they want to do. 'Cause Threadripper 7980X offers top-tier multi-threaded and PCIe lane capacity, which is absolute for AI servers, especially those combining many GPUs. It offers superior performance per dollar compared to many Intel Xeon and AMD EPYC CPUs when it comes to AI and model training workloads.
In any AI Infrastructures, the most important thing is GPU, specifically NVIDIA GPU. NVIDIA GPUs considered essential assets for AI and machine learning tasks. In this build they use, NVIDIA RTX A6000, which is suitable option in my opinion. It gives massive VRAM capacity, which very compatible to handle larger models (30B+ parameters with quantization), bigger datasets, or higher batch sizes, without memory limitations.With ECC memory and workstation drivers, it offers Professional-Grade Reliability. In video, they said, they want to use NVIDIA Blacwall GPU, but it still not available in consumer market. Maybe, primarily NVIDIA only offers the giant company, who pays well to them.
Then come to the Motherboard. In this section they selected Asrock TRX50 WS, a solid match for pairing with the Ryzen Threadripper and RTX A6000 GPU, as it offers up to 7 PCIe 4.0 x16 slots, critical for multi-GPU AI training setups.
Another cool part of this build is cooler. They try** Abee Stem 360**, an ideal choice for this type of build. Why ideal? As it features special metal water cooling head known for its durability and significantly improved heat dissipation efficiency, which help to maintain the high thermal output of powerful components like the Threadripper 7980X.
In the entire build, the cheapest components is PC-Case. But this is acceptable as long as it offers excellent airflow, which is critical to keeping all hardware cooled effectively and maintaining system stability during intensive AI workloads.
At a glance of all components they used:
_Processor: AMD Ryzen Threadripper 7980X
GPU: RTX A6000
Motherboard: Asrock TRX50 WS
Ram: Samsung 32GB ECC Server Ram (great choice for this build)
Memory: WD BlackSN7100 2TB
PC Case: Corsair 3500X
Power Supply: Thermalright TG1350 1350W 80 Plus Gold Power Supply
Cooler: Abee Stem 360
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As PC enthusiastic and working with AI,ML, I think they tried their best and they also done some great build. I'll commanded this channel if you want to appreciate some awesome build.
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