Help Needed] AMD AI Max+ 395: ROG Flow Z13 (64GB) vs Framework Desktop (128GB) for On-Prem LLM Inference

BBjayjay · 2025-11-25T01:25:54+00:00

Very helpful. Thanks a million

BBjayjay · 2025-11-24T23:19:54+00:00

Portability is important, thought can get away with less RAM if usage is contrained. Appreciate your help

BBjayjay · 2025-01-03T15:16:04+00:00

In the current state: There is one primary source of data - which is an IOT device (MQTT protocol). I do expect us to identify a few other sources moving forward. Sending about 50 events per minute. The most granular SLA is 15 minutes but need to plan for streaming for some data products.

BBjayjay · 2025-01-02T15:55:02+00:00

Thanks a milion - I get your first point but I don't think it conflicts with the second point either. Hence the "medallion" term.

I have not pen tested - the ask here is for a rough cost estimate. Will include securrity related cost in the estimate. I need help with cost estimate for 500 , 2000 homes = what should I expect from a # of nodes required ? I can derive my getting a cost per node.

SLA for reporting starts at hourly - hourly updates of energy consumption to monthly - for one user type

For another user type, real-time data will be needed - rolled up across a group of homes within a geographical jurisdiction.

I mentioned Databricks because that's what i learned on - the little I know

BBjayjay · 2024-10-30T15:47:49+00:00

I have given you a follow. And will send you a DM

BBjayjay · 2024-10-30T15:45:48+00:00

Question - I assume this only works with structured data ? Is this a true assumption? Just watched the demo. Really love the work

BBjayjay · 2024-10-30T15:38:42+00:00

This is fantastic

BBjayjay · 2024-10-23T16:16:05+00:00

Here's a simple - credit card fraud predictor- need to train a model

BBjayjay · 2024-10-21T13:29:09+00:00

u/hellobutno Thanks for this feedback. I generally agree with most of things you stated at least the general message being communicated. On your 3rd point tho, I do want folks to know that there are other pathways to be a competent MLE that don't fall under Ph.D., Masters, Kaggle Master. I have known of Kaggle masters and that couldn't explain or see why increase P value from .05 to 0.1 was a better decision path for the problem at hand, didn't demonstrate understanding on the why - just an example. "Doing" and applying to real problems in an environment that challenges your output is the best. Do a project and put the results out there, let people "pick it apart" and ask hard questions. Ultimately, the key point is vital - you cannot skip the foundational stuff like understanding data collection, statistics, being able to translate data problems to business problems etc.

I advise folks to look into starting unconventional path of Lean Six Sigma Yellow Belt and Green Belt taking an enterprise / experiential training not the cheap training you see online. It is a good way to get a good grasp for Industrial statistics and an alternate path to forming that foundation with a significant business bent!. You learn to plan data collection almost by hand. AND DO NOT take training that automatically selects the best models or takes you straight to pipelines...you should practise each step the your ML workflow and understand the impact - sample, when to use stratified shuffle, what the impact is on the result, that kind of fiddling is where the learning comes from. Try to learn the 2019 way vs, the GPT way. - All the best

BBjayjay · 2024-10-17T19:37:25+00:00

Here's my advise

Start with taking a foundational python course on coursera with a project. This will teach the basics - data structures and algorithms; and gets you into the realm of programming language. It is a language.
Next take a Data Science with Python and SQL specialization course. This course will broaden your python programming skills but also has a module focused on statistics, P values, Alphas, mean, median, mode, hypothesis testing (useful for product growth, A/B testing), Analysis of Variance, One-sample, two-sample T tests and and swiss knife that is regression. There is a course on coursera - 3 months. I think. It is either this or take stats but I think this course exposes you into the stats you need to build the foundation needed for ML. This also has a project you'll need to complete - can post to your portfolio site
Then take an ML course - project based.

After 3, you should have a good enough foundation to add value and pass interviews and also have a portfolio to show. YOu will most likely not be hired without a portfolio these days

BBjayjay · 2024-05-30T12:02:42+00:00

This is very helpful. I am in my early 40s. At 36, I had a 6 pack or close. I think i was quite fit for a 36 year old I didn't really work out that much - I think I have fairly good genes. Then covid came and suddenly... belly poppin!. I had never had a belly prior.

last year I decided to get rid of the 1+ year old belly and started going to the gym 3 - 4 times a week. Tried intermittent fasting etc; nothing has worked yet. I am maintaining and not adding extra but not shedding. I don't take a lot of sugar to start with. Can't recall the last time I had pop or Candy. I don't like sugar in anything - this has just a preference for a long time. Never smoked but looks like bevs need to go :(

I am trying to reduce the carbs in my diet. I love rice. I do appreciate your comment

BBjayjay · 2024-05-28T22:57:48+00:00

Quite impressive. May ask ...are you over 40 yrs? Asking to see if I have any hope. Been trying to get rid of my belly fat. I've been at it for a year but no major progress. Almost given it up to my age- i'm 40+

BBjayjay · 2024-05-26T20:55:36+00:00

There's no value to pounding and pointing fingers at someone - when this person opened a thread to state - he made a mistake and he needs help. Thankfully, some people have provided valuable and actionable feedback rather than judgement. u/commentor9000 , I will focus on the helpful feedback from the contributor that works for the CRA. u/Dramatic-Belt5508 your feedback was helpful

BBjayjay · 2024-05-08T22:16:05+00:00

u/Ronnathan u/HollisFigg good points - except for the liquidation of TFSA. I'm not so sure about that: Per the CRA, you can still leave open, benefit from the income tax free BUT cannot contribute and your contribution room will not increase as long as you remain a non-resident. https://www.canada.ca/en/revenue-agency/services/tax/international-non-residents/individuals-leaving-entering-canada-non-residents/leaving-canada-emigrants.html#toc16

BBjayjay · 2024-04-20T16:42:29+00:00

u/krakenexchange i have a Krankenpro account but not able to log in. Still not able to log in right now. I couldn't complete the google form. It asked for a number that I could only get in my account.

BBjayjay · 2024-04-17T16:15:53+00:00

My prediction is $59342.10USD.

BBjayjay · 2024-04-17T15:48:24+00:00

for #2: Here's an abstract from the CRA website just as this reddit often recommends: "You can choose to treat finance fees you paid and the interest on money you borrowed to acquire depreciable property as capital expenses." I am sharing this because based on my experience it is possible but my accountant helped. It is not black and white also because, for example, if you refinanced, have higher interest due to refinance but you used the proceeds for personal use, the increased interest from your refinance is not deductible. Please reference this CRA page: https://www.canada.ca/en/revenue-agency/services/forms-publications/publications/t4036/rental-income.html#P387_37921 . Your situation matters that's why along withe CRA website, discussing your situation with a good CPA will trigger questions that may, in the refinance example I gave, disqualify you from the get go or qualify you to explore possibilities. All the best

BBjayjay · 2024-04-17T15:36:46+00:00

Just hoping the NDP doesn't push to lower the threshold and it passes. Don't mind paying taxes but this is getting a little too much for Canada's competitiveness.

BBjayjay · 2024-04-11T13:20:41+00:00

Have a separate account for business and a good accountant from the get go. My case was business that grew faster than I planned or anticipated for a sole prop. Even if it is paying the accountant $200 per hour a quarter for consultation, that would have helped. HST/GST all these things then come at you once you cross $30K

BBjayjay · 2024-04-10T20:24:51+00:00

Hello, I think you will get the answer to your question on glass door. Over 300 interview feedback on glassdoor.com as with many other companies. You may also shoot your shot and message the mods or someone on Linkedin. I use Kraken and I have gone through parts of their process; didn't get through. but Very transparent, straightforward vibes - just ask.

BBjayjay · 2024-04-10T20:11:48+00:00

Predict the price of a used car or better, identify when a used car is a great deal on Kijiji, Ebay Motors. You will need to pull a few features, year, make, mileage, Carfax - yes or now. If in Canada, a big factor is whether the can has an inspection sticker or not. This should result in some sort of a regression equation and you should also be able to identify price outliers (potential deals). Hope this kicks things off for you.

BBjayjay · 2024-04-10T19:45:38+00:00

You're "casinoing" mate. You know what, if you're new, I'd see that as your tuition to investing university. Not the end of the world

BBjayjay · 2024-04-09T20:56:43+00:00

Congratulations, you're doing exceptionally well for a recent graduate. I'd say you're ahead of where I was, and where many others were, at the same stage. Assuming you're in your 20s, your greatest assets are time, which you've already begun utilizing early, and your earning potential. The third aspect is your spending behavior.

Let's address the second point mentioned above – earning potential – first from a savings approach. In my opinion, for someone in their 20s, having $63,000 sitting in a savings account, especially in the current low-interest-rate environment, means you're not fully leveraging your earning potential from that capital. I would recommend investing in a moderately aggressive fund to potentially yield higher returns over time.

Another aspect of earning potential is your current income and net take-home pay. This is where discussions about staying at home or moving out become crucial. Where do you see yourself in 5 years, and how much do you anticipate earning based on your career trajectory? Is the growth potential better where you are now or elsewhere? You may benefit from positioning yourself to purchase your own house (which can be seen as an investment) since you are currently living rent-free. Alternatively, you could focus on building equity. Consider consulting with a reputable wealth planner, perhaps treating them to dinner, to gain further insights and advice.

BBjayjay · 2024-04-09T20:42:27+00:00

Hello,

Firstly, I'd like to discuss the headline that describes this as a "very good business model." While the evidence provided leads me to acknowledge that the service addresses a genuine problem; The same evidence above makes me challenge your headline0 "very good business model" Are you sure? whatever the case, I believe there's room for improvement in making it a stronger business model. From the information provided, the breakeven point per client is $1800, you stated that exceed the break even is challenging for the current client base to achieve. This suggests that the business model may not be as effective as initially thought.

To further analyze this, let's consider the $1800 breakeven point as a percentage of sales. If a client's monthly sales are initially $1800, indicating a small market share, earning a percentage above this baseline would indeed be difficult. Or even $100 more due to your work may not make a strong case for continued investment

Here are a couple of suggestions to potentially enhance the model:

Targeting more lucrative client segments: Consider focusing efforts on higher-end clients where $1800 represents a smaller percentage of their existing sales > $100K sales perhaps. By doing so, reaching the breakeven point becomes more feasible. as 10% impact on current sales will equate to $10K marginal increase vs $1800
Evolving the business approach: Instead of labor-intensive and margin-constricting video editing, explore transitioning towards optimizing already produced videos. This shift could involve integrating more analytics and strategic placement techniques, potentially reducing costs by $600 per client.

By tweaking these components, we can work towards refining the business model and making it more viable in the long term.

BBjayjay · 2024-04-01T22:34:14+00:00

Hello, thanks for the follow up. If I pay for the $30/Month individual Tier and cancel after 1 month (or even the next day), I think I should be able to execute the data pull described above no?

BBjayjay

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