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Peter_Tarman16

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9 months ago

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Peter_Tarman16

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December 29th, 2025 12:49

Power Supply for DELL Precision Tower 5810

Hello, I would like to ask about a compatible power supply for the DELL Precision Tower 5810. I currently have a 685W one, but I would like to upgrade from a GTX 1080 TI to an RTX 3090 or 3090 TI. But I read somewhere that Different power supplies, for example 1300W, have different connectors, so I want to ask which one I should use or what I should do so I don't ruin my DELL because I wouldn't want that. Thank you in advance and have a nice rest of the day. 

  • Cyberato

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    Posted January 8th, 2026 22:40

    Hi there, I also have a T7810 using a DELL 1300W PSU. The model I am using is the H1300EF-02 / T31JM. I am currently running dual RTX 4060 ti 16Gb which I picked up for $374 in excellent condition. I also added a Zotac 3090 as an external GPU using an external PSU.

    I was hoping for RTX 3090 Turbo, but the Zotac was $600 cheaper so I went for that instead. But I'm sure it can handle one RTX 3090. It's possible. Currently running Proxmox on it, and created a VM to run AI. It runs very well. 

    (edited)

  • Cyberato

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    Posted January 8th, 2026 23:20

    SORRY, I just realized you have a 5810. I apologize, I thought you had a 7810.

  • Peter_Tarman16

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    Posted January 17th, 2026 13:29

    @Cyberato​ it's ok😊

    I've just want to know if the 7810 PSU should be compatible with 5810 or if I have to use external PSU for 3090 or 3090 TI

  • Cyberato

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    Posted January 17th, 2026 14:36

    Hey Peter,

    I believe so, but I can’t really verify that. The reason is that when I tried to get the right 1300 W PSU, it didn’t fit, even though the seller indicated that it would. It took me three attempts to get the correct part, and on the third try I finally received the proper PSU for the T7810. I wish I could be certain that it would fit, but I don’t have a T5810.

    Below is the link where I purchased the correct one; they may be able to tell you yes or no.   I hope they will have the correct answer.

    https://altatechnologies.com/products/dell-t31jm?

    FYI - You can probably lower the power consumption to around 250 W for the two 3090s so they won’t shut down under load. Otherwise, you’ll need to get an external power source.   Let me know how it works out.

    Later  :)

  • Cyberato

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    Posted February 3rd, 2026 21:39

    Hey Peter,

          were you able to get the right psu and your system up and running with your 3090 gpu?

  • Peter_Tarman16

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    Posted February 14th, 2026 08:57

    Unfortunately I was forced to buy an cheaper graphics card because my 1080TI stopped working. So I bought a reference RX VEGA⁶⁴ which is also a power hog but it probably works for now but I'll undervolt it.

  • Cyberato

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    Posted February 16th, 2026 23:44

    Hey Peter, 

    Sorry to hear that, I should have told you that the RTX 4060 TI 16gb dual fan or RTX 5060 TI 16GB dual fan would be a better option, they both use 8-pin.  if its not too late to exchange it for 4060 ti 16GB or 5060 TI 16GB.  Before they will go up in price and have less availablity.

    Below are some key points. 

    Key Comparison Points:
    • Performance: The 4060 Ti 16GB is substantially faster than the RX Vega 64.
    • VRAM: The 4060 Ti offers 16GB GDDR6, while the RX Vega series is limited to 8GB HBM2.
    • Efficiency: The 4060 Ti 16GB has a 165W total graphics power, significantly lower than the 295W+ TDP of the RX Vega 64.  
    • VRAM Capacity: The   offers 16GB of GDDR7 memory, double the 8GB of HBM2 found on most Vega 56 and 64 models.
    • Power Consumption: The 
      RTX 5060 Ti
       is rated at 180W TDP, whereas the   consumes up to 295W (and some variants even more), making the NVIDIA card significantly more efficient.
    • Bandwidth: While the 
      Vega 64
       has a wider 2048-bit memory bus, the high clock speeds of the   GDDR7 (28 Gbps) result in a competitive peak bandwidth of 448 GB/s. 
  • Cyberato

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    Posted February 17th, 2026 00:12

    Hey Peter.

    In case your into local AI, a while back, when things were stable and affordable, I wanted to run larger AI models, that my Dell T7810 could not run.  So I decide to build an local AI rig using 5x - 5060 TI 16GB for a total of 80GB, and able to run q4 quantanized 100+B models.  Running on a GIGABYTE B550 Eagle with AMD 5950X 16 cores. 128GB DDR4 using an open frame mining rig.  So my budget AI rig has been fun to configure and run.

    (edited)