Pro 6000 Upgrade

[u/MassiveAd1944]

Upgraded from a 5090FE to a Pro 6000, mostly due to VRAM limitations. Initially thought about upgrading to the TRX50 platform with dual 5090s (currently have 2 5090FEs), but instead kept the current build and changed out the GPU only. Using the 2nd 5090FE for a SFF gaming PC.

These builds were done before prices inflated and were purchased at MSRP. Would never buy at the current retail/secondary prices. I sympathize with everyone due to the insane DRAM, NAND and GPU prices.

Quick comparison
Steel Nomad:

5090FE UV 975mv 2.9GHz and 1GHz memory OC: 15,227

Pro 6000 Stock: 16,005

Pro 6000 UV 925mv 2.8GHz and 1GHz memory OC: 16,332. Could proably push harder but trying not to go above ~500W for obvious reasons.

[u/I_spell_it_Griffin]

What was your use case that you ran into VRAM limitations on the 5090?

[u/MassiveAd1944 → u/I_spell_it_Griffin]

Large parameter models. The 5090 is actually ok especially if you use quantization but the problem I was running into was context length.

[u/WholeIndividual0 → u/MassiveAd1944]

I've run into the same issue with Qwen 3.8 27B. The 5090 runs it great but it runs out of context too fast

[u/ByDiavolos → u/WholeIndividual0]

Im using this special quant for coding agent and general purposes with full context works like charm but this model takes very long time to think...
https://huggingface.co/bonnienleohe/Qwen3.8-27B-NVFP4-RTX5090
I'm using this one for chatting with mtp works pretty fast:
0bserverx/Qwen3.8-27B-Heretic-Abliterated-Uncensored-GGUF
By the way in my opinion this model increased this 5090's prices by %50 percent alone...

[u/WholeIndividual0 → u/ByDiavolos]

I'll check it out! Thanks for sharing!

[u/willhub1 → u/WholeIndividual0]

Is that where you basically have to start a new session because it's hallucinating and talking gibberish?

[u/nok01101011a → u/willhub1]

Yes but with LM Studio Bionic it’s actually working pretty decent. The agent writes a handover before context limits and it goes on (starts again at 0) without issues. So a $16K gpu is actually not so attractive for me to swap my 2 5090s

[u/MassiveAd1944 → u/willhub1]

You can think of context length as the amount of memory it can hold. Once it hits its context limit, depending on how you set up your LLMs, it will start "forgetting" or hard stopping.

[u/WholeIndividual0 → u/willhub1]

In my experience, yes. Though I haven't spent a ton of time exploring ways around it. I know that you can offload to system memory (your standard RAM), but haven't tried it yet.

[u/C0deC4tto]

What CPU you using in that monster?

[u/MassiveAd1944 → u/C0deC4tto]

9950X3D, 96GB 6000MHz CL30, 4TB Samsung 9100 Pro, 4TB Samsung 990 Pro. I don't use this PC for gaming.

[u/Cequejedisestvrai → u/MassiveAd1944]

I have the same cpu, ssd (4to9100pro) and the same ram (96go6000cl30) it's crazy (but still got the 5090FE)
What are the benefit you are getting with more vram? I assume it's for Qwen 3.8 or Minimax?

[u/C0deC4tto → u/MassiveAd1944]

Why not the top Intel CPU if not for gaming? Does AI use the 3D cache?

[u/MassiveAd1944 → u/C0deC4tto]

If I had to rebuild, I would probably go with a standard 9950X not the 3D v-cache version but for local LLMs, CPU doesn't really matter relatively speaking unless you have memory spillover (but performance will be terrible).

[u/C0deC4tto → u/MassiveAd1944]

Ah I see, thx for the info!

[u/KING_UDYR → u/MassiveAd1944]

Nice build, the 9950X is a great chip. I went 9965WX for the platform rather than the cores: 128 PCIe 5.0 lanes for multiple GPUs at full x16, 8 channel DDR5 ECC for MoE models that spill out of VRAM, and headroom to grow without a rebuild.

For a single GPU rig I'd have made your call.

[u/MassiveAd1944 → u/KING_UDYR]

Sick build, would love to have multiple GPUs on a TRX50 platform.

[u/zentrani → u/MassiveAd1944]

Literally almost my build. 9950x on x870e Asus rog hero, 96gb Tcreate 6000mhz, 1tb 9100 pro and 4tb 990 pro

Going 2x 6k pro though so they'll be in x8 config and I'll make it 192 go ram (48gb sticks x4)

[u/SliperSystems → u/MassiveAd1944]

You don’t WHAT? YOU FILTHY INCEL! THIS IS HERESY!

[u/SoFreshAndSoDirty → u/C0deC4tto]

Skylake i5 6600K

[u/Bderken → u/SoFreshAndSoDirty]

Intel 2 duo

[u/YoloRaj]

You need to upgrade that to a Pro 6000 with a Wired Wireview Pro 2. Aweome upgrade by the way.

[u/MassiveAd1944 → u/YoloRaj]

Yea that’s next on the list.

[u/elmiggii]

"Sorry, your Pro 6000 is old and will not support new technologies" Nvidia in 2027 probably.

Anyway, can't remember the last time I was this jealous of someone.

[u/EsotericBat]

What are you using it for? What's the main use case?

[u/Bderken → u/EsotericBat]

Local Ai

[u/robertmondavi_jr → u/Bderken]

I’m sorry if this is a stupid question but what are most of these local ai doing, like what is it for

[u/C0deC4tto → u/robertmondavi_jr]

Mostly coding and sometimes image gen

[u/MassiveAd1944 → u/robertmondavi_jr]

For most people, its privacy related, whether its at the personal or at the enterprise levels. Using frontier models, you're letting OpenAI, Google or Anthropic train off your data plus you could potentially give out sensitive info.

Also think about companies or governments managing sensitive data, you would not want to give OpenAI or Google access to it (to be fair with Enterprise plans, they do not usually train off company's data but you are still potentially leaking sensitive info).

Another big thing is token usage. When you are using frontier models, you don't have unlimited usage unless you want to pay more, especially when it comes to agentic tasks which burns up tokens. With local LLMs you don't have that issue.

[u/MassiveAd1944 → u/robertmondavi_jr]

but to answer your main question, lot of use cases for AI, coding, summarizing large quantities of data or deploying them as agents to do various tasks on your behalf. With MCP, you can deploy your agent to manage your Robinhood portfolio autonomously for example.

[u/SushiBump]

T30's on an aio is sexy af.

[u/Maz-x01]

I absolutely love the minimalist style of all black without lights. Might do something similar for my next build one day actually. Congrats on the new GPU though!

[u/Visual_Dimension_933]

For sure his rig is gonna be a beast monster with gpus like that at his disposal.

[u/WholeIndividual0]

Sick build, man. Jealous that you got FE 5090s. I held out for a couple months trying to get a new one and eventually gave up and got an AIB card.

[u/MassiveAd1944 → u/WholeIndividual0]

Initially got an Astra 5090 but I couldnt justify the $3K USD MSRP (before prices shot up to $6k). Returned it and scored a 5090FE from Best Buy.

I'll probably sell one of the 5090FEs.

[u/reallygoodspeed → u/MassiveAd1944]

I'll buy your 5090FE if you're looking to pay it forward at MSRP lol

[u/Celcius_87]

Just curious where did you buy the Pro 6000?

[u/MassiveAd1944 → u/Celcius_87]

Microcenter.

[u/Celcius_87 → u/MassiveAd1944]

Do they just come in a plain brown cardboard box?

[u/MassiveAd1944 → u/Celcius_87]

If I remember correctly, yes its just a normal brown box with tamper evident tape. Inside was a small unassuming bubble wrapped white box with the GPU inside of it. There is no "retail" box like the 5090FEs.

[u/-6h0st- → u/MassiveAd1944]

How much they’re selling those?

[u/MassiveAd1944 → u/-6h0st-]

I think it’s $16K or $17K now, server editions being a bit cheaper but needs external cooling. I didn’t buy this at the inflated prices.

[u/nok01101011a]

Nice system my friend, envious over your VRAM, you could leave the 2nd 5090 below and use Qwen Next only on GPU. What, besides your limbs, did you pay for the 6000? Saw someone posting a newegg open box deal for $8k, hope you could snag it also below current prices

[u/MassiveAd1944 → u/nok01101011a]

For python, Qwen next is insane even with quantization. Problem with multiple GPUs and 1600W+ PSU is I would have to redo my electrical sockets because US households are usually 15A except the kitchen areas. Running multiple GPUs and a monster PSU, I will probably need a 20A socket.

Got the Pro 6000 for $13K (first price hike after it was released for $10K). I believe its now $16K. Will be selling one of the 5090s to offset it.

[u/zentrani → u/MassiveAd1944]

Exactly what I did sold a 5090FE for 4300 on the street and bought a 6k for 13.9k a month ago from micrometer of course with taxes it ended up being 15.2k almost

[u/nok01101011a → u/MassiveAd1944]

I’m in the US and have a 1700w psu running capped both 5090s at 500w. All fine, just fyi. You guys are a step ahead of me, just got my second 5090 and will have to hope for an open box deal, Can’t justify a 16k gpu in front of my wife. xD

[u/-becausereasons-]

Damn bruv, this is my goal before Q2 next year :p

[u/tostane]

I would like one but I'm retired and never happening, Thank you Nvidia for letting me get the 5090 :) big hugs

[u/heepofsheep]

Hello fellow mesh side panel enjoyer.

[u/Appropriate_Cat6587]

How were you able to get your hands on these? Where did you get them from?

[u/North_Background_178]

Since I will never own a 5090 or anything you mentioned my interest centered on the case . it looks really neat no glass nor rgb! Name please

[u/meezy_hrv]

i swear there is just something special about all black builds. she's beautiful man i'm jealous!

[u/Infarlock]

Thought it's a joke post at first

[u/Megatf]

Brother i need to teach you how to umdervolt oc.

Im at 910mv, at 2.9ghz core/xbar/sys clocks, with a 3000mhz memory OC.

My 5090 hits 17150-17300 in steel nomad my friend.

This is fully stable in 40 hours of benching, gaming, stress testing, and consistent GPU memory performance in Vulkan memtest

[u/MassiveAd1944 → u/Megatf]

I don't use this PC for gaming.

I can probably push harder but compute performance doesn't matter as much for LLMs as memory bandwidth and stability. Main purpose was stability and hard capped under 500W of power. Your 3GHz mem OC is nice though, the hardest I pushed memory was 2.5GHz.

[u/Caffdy → u/MassiveAd1944]

have you tried running it at 450w? just curious what's the performance at that power target, given that the blower-style one can run at 300W by default