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forum threadDr.W posted Jul 10, 2026 2:04 PM
Micro Center
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Available In-Store Only; In stock at all stores when posting.
SPECS:
PNY NVIDIA GeForce RTX Pro 4500 Blackwell Single-Fan AI & Workstation Graphics Card; 32GB GDDR7 Memory; PCIe 5.0 x16 - Micro Center
https://www.microcenter
SPECS:
- 32GB GDDR7 256-bit Memory
- 7680 x 4320 Maximum Resolution
- PCIe 5.0
- Full Height, Dual Slot
- DisplayPort 2.1b
PNY NVIDIA GeForce RTX Pro 4500 Blackwell Single-Fan AI & Workstation Graphics Card; 32GB GDDR7 Memory; PCIe 5.0 x16 - Micro Center
https://www.microcenter
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About the Poster
Deal Details
Community Notes
About the Poster
Available In-Store Only; In stock at all stores when posting.
SPECS:
PNY NVIDIA GeForce RTX Pro 4500 Blackwell Single-Fan AI & Workstation Graphics Card; 32GB GDDR7 Memory; PCIe 5.0 x16 - Micro Center
https://www.microcenter
SPECS:
- 32GB GDDR7 256-bit Memory
- 7680 x 4320 Maximum Resolution
- PCIe 5.0
- Full Height, Dual Slot
- DisplayPort 2.1b
PNY NVIDIA GeForce RTX Pro 4500 Blackwell Single-Fan AI & Workstation Graphics Card; 32GB GDDR7 Memory; PCIe 5.0 x16 - Micro Center
https://www.microcenter
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9 Comments
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The NVIDIA GeForce RTX 5090 offers massive core-count superiority, featuring 21,760 CUDA cores compared to the 10,496 CUDA cores found on the NVIDIA RTX Pro 4500 Blackwell. This represents a 107% advantage in raw parallel processing hardware for the RTX 5090, putting it in an entirely different tier for raw compute
Super low TDP of just 200W though, can run 3 with the same power of a single 5090.
Pro has ECC too, idk how often memory related crashes happen though but this is for enterprise use.
Memory bandwidth is 1792 GBs vs 896 GB/s
But I can also make the argument that if someone needs a Pro card, they're already getting it paid for somewhere already and not waiting for a deal in SD.
But for Local AI crowd, they are comparing many diff cards to what suits them best. There are people getting 2 3060 TI cards 12GB x 2 to get to 24GB. or old Tesla V100 hacks to get the 32GB. VRAM. All interesting and I think people could consider them as they find what works. This would be good for someone who does need 32GB on a single card but can't stand the 5090 power draw and noise. or want to pack 64GB in a single PC without crazy power draw and did not need 96GB.
I considered RT6000 Pro but then it's actually slower than 5090 for what I use it for so it was pointless since I only do inference anyway but I did a research it.
I saw it and wanted to see what this Pro 4500 can do to see if I should use it but realized it's not for me and pasted what I learned.
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RTX Pro cards are warrantied through the seller so in the case of Dell you have a Dell warranty.
If money is not a concern, this card's advantages over 5090 for LLM inference is 1) nvlink capable so you can pair these up for tensor parallelism and pooled memory, the combined memory lets you run unquantized model for much higher quality LLM output and bigger context window. 2) lower power draw and physical profile.
(Edit: Actually there's no nvlink support for this card... that's made it worse. I thought this card is similar to my RTX A4500 pair which is nvlink bridged)
But if money is not a concern you should be looking at the RTX 6000 pro with 96gb VRAM - a single card solution
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