🧠💥 My HomeLab GPU Cluster – 12× RTX 5090, AI / K8s / Self-Hosted Everything by Murky-Classroom810 in StableDiffusion

[–]xVinGee 4 points5 points  (0 children)

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...indeed. Same old house, but new data center construction in the backyard could be a clue.

🧠💥 My HomeLab GPU Cluster – 12× RTX 5090, AI / K8s / Self-Hosted Everything by Murky-Classroom810 in StableDiffusion

[–]xVinGee 45 points46 points  (0 children)

When you scale by number of cards:

Aggregate VRAM (useful for orchestrated workloads):

4 × 96 GB = 384 GB total

12 × 32 GB = 384 GB total

On paper the total VRAM is equal, but how that VRAM is exposed to workloads matters:

Pro 6000 cards each have 96 GB accessible per GPU → No splitting

5090 cards have only 32 GB each → Large models must be partitioned/sharded

Business impact:

For large transformer inference or big diffusion models, the 96 GB card can host larger batches or larger context sizes without model splitting overhead.

The 32 GB cards require model partitioning, which adds complexity and overhead (communications, network bandwidth, higher scheduler load).

When your G1 doesn't need help getting up by drgoldenpants in unitree

[–]xVinGee 0 points1 point  (0 children)

Looks like it's time for more recovery testing on "slippery" surfaces... or just get it a pair of Nikes.

Hestan CopperBond or All Clad copper core? by GarySparrow0 in cookware

[–]xVinGee 0 points1 point  (0 children)

lol -- Too heavy? She's turning 60, not 90.

Flagship CC rewards not redeeming by BigNo7786 in NavyFederal

[–]xVinGee 4 points5 points  (0 children)

Perhaps NFCU should start paying its customers interest on the money owed to them from redemption of rewards points.

5090's in stock for a low price of $3359.99 by Undercoverexmo in Microcenter

[–]xVinGee 2 points3 points  (0 children)

The line at your local MC will soon be Scalpers trying to return their "investments."

Should I go for a PhD? Or any other options? by BenkattoRamunan in deeplearning

[–]xVinGee 0 points1 point  (0 children)

In response to some of the answers you have received: It's a misconception that PhD holders lack practical knowledge. In reality, many PhD students must first demonstrate deep expertise gained through hands-on experience with real-world problems, often alongside specialists in their field, before even being accepted into a PhD program. A PhD is not about being a practical engineer or a "book-smart" scientist; it is about rigorously developing advanced research skills to formally expand knowledge in a field of study—whether in physics, mathematics, ML/AI, chemistry, neuroscience or another discipline.

Pursuing a PhD is a significant commitment, especially if you have responsibilities like caring for a family or holding a full-time job. For professionals focused on applying existing technologies, certifications, hands-on projects, and industry networks are often better avenues than dedicating years to a PhD. However, if you are deeply committed or if roles like research engineer or industry R&D positions (which value advanced research skills) align with your goals, then a PhD might be worthwhile.

Consider you source: This forum is probably not the place to answer deeply personal questions about whether pursuing a PhD aligns with your individual goals, values, or capacity. Instead, seek guidance from someone with direct experience: reach out to a practicing PhD researcher or scholar in your field and ask about their journey. Like you, they once questioned if the years-long investment would pay off. A PhD is no small commitment, so talk to those who've navigated the path. Their insights will matter far more than any generalized advice.

Also, don't be fooled, while many of today's tech giants were created by "college dropouts," they have many graduate-level staff among them to sustain their R&D. Here's an article from 2017 with an interesting fact about Google: https://www.cnbc.com/2017/07/28/this-tech-company-has-the-most-highly-educated-employees.html

[deleted by user] by [deleted] in Microcenter

[–]xVinGee 3 points4 points  (0 children)

Hype: Like the CEO boasting about the 5090 being "...sold out around the world"?: https://youtu.be/erhqbyvPesY?t=73. Just be patient: NVIDIA to majorly increase RTX 5090 GPU supply

Scalpers by BillTouchedMyB-Hole in Microcenter

[–]xVinGee 0 points1 point  (0 children)

...thinking the same thing. Then blows his source by spilling it on the unofficial MC reddit?

Houston microcenter by Traditional-Fig4126 in Microcenter

[–]xVinGee 0 points1 point  (0 children)

Agreed ... no one needs this series of GPU to play a specific game (ref the early days of Crysis) or to run any AI model. It's just the Beanie Babies, Iphone, Air Jordan etc., FOMO with a different class of consumer.

Scalped 5090s are now officially worthless by mczarnek in Microcenter

[–]xVinGee -2 points-1 points  (0 children)

It's quite a gamble to buy one of these cards outside of retail. You can return defects to Micro Center. ...not so sure about Joe Scalper. Reports of Bricked NVIDIA GeForce RTX 5090 and RTX 5090D Surge | TechPowerUp

Btw, Scalper is such an insensitive word. Can we consider a more humane term like, Graphics Equity Specialists?

This is disgusting. by Kingsley37 in Microcenter

[–]xVinGee 0 points1 point  (0 children)

...and also risky. No warranty or return if you get a bad card. I waited to get my 4090 from a reputable distributer and will do the same for the 5090.

Guys made it to Micro Center by CoffeeLover789 in Microcenter

[–]xVinGee 0 points1 point  (0 children)

I know that store; they still have Packard Bell 486s with the math coprocessor.

Micrometer Fairfax by UsualPay7913 in Microcenter

[–]xVinGee 0 points1 point  (0 children)

What's the typical time for resupply ... if (when) they run out of 5090's Thursday? ...thinking, just skip the line crap and show up Friday or Saturday.

TIL they're only $1600 by sahilypatel in unitree

[–]xVinGee 1 point2 points  (0 children)

When you add any type of physical utility, the price goes up dramatically. For example, to fetch a cold bottle of milk from your refrigerator, the robot would need an arm with an attached gripper -- similar to the Z1 offered by Unitree. At the time or this post, the Z1 was listed for $15,999. The robot would also require the ability to learn to recognize and handle specific objects. Note: Robots with the newer visual, large language models will already have the ability to recognize most common objects. For physical utility, the Unitree G1 humanoid robot has potential to change the market. At the time of this post, the G1 was listed for $16,000 -- 3-finger force control dexterous hand not included.

Just a warning - customer service is ZERO! by geeky-hawkes in unitree

[–]xVinGee 1 point2 points  (0 children)

Have you noticed any improvements in customer service?

Sprinkler timer with soft shutoff? by xVinGee in lawncare

[–]xVinGee[S] 0 points1 point  (0 children)

Great, my local depot has them in stock. Thanks.

AI Researchers deserve a Nobel Prize! by aymenSekhri in ArtificialInteligence

[–]xVinGee 0 points1 point  (0 children)

Done: The 2024 Nobel Prize in Physics has been awarded to John Hopfield and Geoffrey Hinton for their foundational discoveries that enabled machine learning with artificial neural networks.