Uploaded June 2026 | Updated September 2026, 2 weeks ago
⚡ Infinite Cables infinitecables.com
💾 24" exhaust fan I bought geni.us/4NFLP (PAID LINK)
⚡ Terra Compute: terracompute.ai/#redpandamining
💻 Sign up for VastAi here: cloud.vast.ai/?ref_id=502537
💻 RTX 5090's geni.us/nOmSUfh (PAID LINK)
💾 Tangem Cold Storage Crypto Wallet geni.us/rpmtangem use code RPM for 10% off!
In today's POV build video, I continue expanding my AI GPU rental farm by installing my second AI GPU server into the rack. Before the server could go online, I had to relocate all of my PDUs, install a brand-new 5,000 CFM exhaust fan, reorganize the power distribution, and rethink whether smart PDUs are actually worth using.
I also explain why I decided against enterprise managed PDUs, how I'm monitoring power consumption at the circuit level instead, and the differences between enterprise AI hosting and my own mid-sized GPU rental setup.
Once everything is wired up, I install an 8x RTX 3070 server, connect it to my 10Gb network, configure SimplePod, and list it on the rental marketplace. We also take a look at idle power consumption, estimated maximum load, and what it takes to continue scaling an AI GPU hosting business from a home lab.
If you've ever wondered what goes into building AI GPU rental infrastructure, this video shows the process from start to finish.
Products shown:
RTX 3070 AI GPU Server
30A PDUs
5,000 CFM Exhaust Fan
10Gb Networking
SimplePod GPU Marketplace
Infinite Cables power cables
If you enjoy AI server builds, crypto mining, GPU hosting, home datacenters, and behind-the-scenes infrastructure videos, subscribe for more weekly uploads.
Chapters
00:00 Why move the PDUs?
01:50 Why am I using these power cables?
03:23 Why replace the exhaust fan?
05:54 How much power do 10 AI servers need?
07:10 Should I use smart PDUs?
09:34 Did the new 5,000 CFM fan help?
10:38 Why did I choose basic PDUs instead?
12:00 How will I monitor power usage?
13:06 What's the rack layout plan?
15:16 Am I building an enterprise AI hosting setup?
17:04 How heavy is an 8x RTX 3070 AI server?
19:03 Which cables power the AI server?
21:54 How much power does an RTX 3070 server idle at?
23:03 Did the AI server boot successfully?
23:35 What rental price did I choose?
25:42 How much idle power does the server use?
27:21 Is this shelving better than a server rack?
28:24 Should I have used smart PDUs after all?
#AI #AIServers #GPU #GPUServer #AIHosting #MachineLearning #DeepLearning #Homelab #Datacenter #RTX3070 #GPUFarm #SelfHosting #SimplePod #CryptoMining #RedPenMining
⚡ Infinite Cables infinitecables.com
💾 24" exhaust fan I bought geni.us/4NFLP (PAID LINK)
⚡ Terra Compute: terracompute.ai/#redpandamining
💻 Sign up for VastAi here: cloud.vast.ai/?ref_id=502537
💻 RTX 5090's geni.us/nOmSUfh (PAID LINK)
💾 Tangem Cold Storage Crypto Wallet geni.us/rpmtangem use code RPM for 10% off!
In today's POV build video, I continue expanding my AI GPU rental farm by installing my second AI GPU server into the rack. Before the server could go online, I had to relocate all of my PDUs, install a brand-new 5,000 CFM exhaust fan, reorganize the power distribution, and rethink whether smart PDUs are actually worth using.
I also explain why I decided against enterprise managed PDUs, how I'm monitoring power consumption at the circuit level instead, and the differences between enterprise AI hosting and my own mid-sized GPU rental setup.
Once everything is wired up, I install an 8x RTX 3070 server, connect it to my 10Gb network, configure SimplePod, and list it on the rental marketplace. We also take a look at idle power consumption, estimated maximum load, and what it takes to continue scaling an AI GPU hosting business from a home lab.
If you've ever wondered what goes into building AI GPU rental infrastructure, this video shows the process from start to finish.
Products shown:
RTX 3070 AI GPU Server
30A PDUs
5,000 CFM Exhaust Fan
10Gb Networking
SimplePod GPU Marketplace
Infinite Cables power cables
If you enjoy AI server builds, crypto mining, GPU hosting, home datacenters, and behind-the-scenes infrastructure videos, subscribe for more weekly uploads.
Chapters
00:00 Why move the PDUs?
01:50 Why am I using these power cables?
03:23 Why replace the exhaust fan?
05:54 How much power do 10 AI servers need?
07:10 Should I use smart PDUs?
09:34 Did the new 5,000 CFM fan help?
10:38 Why did I choose basic PDUs instead?
12:00 How will I monitor power usage?
13:06 What's the rack layout plan?
15:16 Am I building an enterprise AI hosting setup?
17:04 How heavy is an 8x RTX 3070 AI server?
19:03 Which cables power the AI server?
21:54 How much power does an RTX 3070 server idle at?
23:03 Did the AI server boot successfully?
23:35 What rental price did I choose?
25:42 How much idle power does the server use?
27:21 Is this shelving better than a server rack?
28:24 Should I have used smart PDUs after all?
#AI #AIServers #GPU #GPUServer #AIHosting #MachineLearning #DeepLearning #Homelab #Datacenter #RTX3070 #GPUFarm #SelfHosting #SimplePod #CryptoMining #RedPenMining
