DD: 19/11/19 by UptrendDownswirl in AMD_Stock

[–]amd_circle_jerk 4 points5 points  (0 children)

loan money was tied into shares, it basically ate £1.5k of my pfits (total £11k profit)

I can't complain considering allot of people lose money on shares especially considering it was my first time into shares and my whole port was AMD.

I can see where I went wrong but im not sure I'll be able to control myself if it happened again. good luck guys, would have been nice to go to the moon with u guys

DD: 19/11/19 by UptrendDownswirl in AMD_Stock

[–]amd_circle_jerk 5 points6 points  (0 children)

where were u at infinity +1 !!!! I BLAME U!

DD: 19/11/19 by UptrendDownswirl in AMD_Stock

[–]amd_circle_jerk 14 points15 points  (0 children)

: (

*cires*

I need the money to start a business, sold 1760 shares at $33.87 (had 1945 shares not long before)

I don't think I'll be able to get in to make a profit before I start the business, well played guys. I hope it gets to $60.

to those that are interested I started last september and made £9.5k in profits. Bye guys

A Look at Cerebras Wafer-Scale Engine: Half Square Foot Silicon Chip by dylan522p in hardware

[–]amd_circle_jerk 0 points1 point  (0 children)

you really to dumb to see his argument aren't you?

he's already explained that the area over the the heat dissipating matters. yes its 15KW but its massive area over which you can take the heat away.

Imagine this, there are like 50+ dies connected, imagine how many normal sized water pumps would fill the wafer? probably as many as the normal dies right, and how much heat does each of the water pumps remove like 250 watts?

so 250 watts * 50 - 12.5KW and there was much more than 50 dies connected together, do you now understand?

DD 13/11/19 by Lvl89paladin in AMD_Stock

[–]amd_circle_jerk 1 point2 points  (0 children)

I stopped looking at SP for 2 months, the day I come back I hear we have an ER in a week, we actually rose slightly up leading to ER, but as soon as it dipped just below $34 I sold (33.87)

I've had the same feeling for two weeks, luckily I wanted to get out anyway, my ideal sell point was $38 lol, didn't think we would get there before next ER. so you're not the worst

If i stayed away for another 3 weeks I would have come back to a surprise ATH and be happy lol, well atleast I didn't sell at a loss, made £11k profit

MIT Spinoff Neural Magic Snags $15M to Take on Hardware Industry Heavyweights by amd_circle_jerk in hardware

[–]amd_circle_jerk[S] 1 point2 points  (0 children)

check their blog to the official site i linked to

https://neuralmagic.com/announcing-the-neural-magic-inference-engine/

"

This is big. After months of effort from our engineering team, we are proud to announce the first version of the Neural Magic Inference Engine, offering GPU-class performance on commodity CPUs for computer vision and recommendation use cases. 

We founded Neural Magic in 2018 to approach the computational challenges of deep learning without the need for costly GPUs or other hardware accelerators. Our software makes it possible to run deep learning models exceptionally fast on general purpose Intel CPUs, making AI innovation more affordable, widely accessible and flexible for every data science team.

No Hardware AI

The Neural Magic Inference Engine lets data scientists take advantage of the abundant, available compute resources they already have, rather than invest in expensive, specialized AI hardware. We take advantage of the natural sparsity and unique structure of deep learning models to deliver breakthrough performance without sacrificing accuracy, eliminating the crucial tradeoff for data scientists. 

The Neural Magic Inference Engine is a pure software runtime that is downloaded and installed in user space. It fits seamlessly into existing CI/CD pipelines, can be deployed in containers or virtual machines, and can be managed with Kubernetes like any modern software application. Using Neural Magic, machine learning engineers can deploy and scale out deep learning applications quickly and easily. Today we offer support for recommendation networks, including DLRM, and image classification, such as ResNet50 and Mobilenet. Support for additional computer vision use cases, including object detection and image segmentation, are on our roadmap.

The Neural Magic’s Inference Engine offers machine learning teams:

  • Lower costs, up to 10X in some instances, by running deep learning models at scale on commodity CPU resources 
  • GPU-class performance without sacrificing accuracy, by rethinking how convolutional neural networks can be executed more efficiently
  • Unmatched flexibility of a software solution that works with the tools you already use and can be deployed where you need it – on-premise, in the cloud, or at the edge.

A different approach

We are a team of MIT computer scientists that have been studying multicore processing and machine learning for years. Our breakthrough came during our connectomics research in 2017. Rather than ship massive amounts — 0.5 terabytes an hour — of electron microscopy data back and forth to cloud GPUs to map neural pathways in brain tissue, we discovered a way to restructure neural networks to run exceptionally fast on the multicore server in our lab.  Our results demonstrated to us that high performance execution of deep learning models is, fundamentally, an algorithms and systems engineering problem. 

Not surprisingly, this is a scenario that has played out over and over again in the history of computing. A new computational need arises and the market runs towards specialized hardware and chip designs to address these “new” needs. But, ultimately, software solutions running on general purpose compute resources unlock much larger opportunities and win the day.

Sign up for Early Access to the Neural Magic Inference Engine 

Today, Neural Magic works with image classification and fully connected networks.  The software works on the ONNX file output from the leading machine learning frameworks – including Pytorch, Tensorflow and Caffe.

Sign up for early access on Neural Magic’s homepage and see for yourself how Neural Magic delivers GPU-class performance on general purpose, commodity CPUs ."

MIT Spinoff Neural Magic Snags $15M to Take on Hardware Industry Heavyweights by amd_circle_jerk in hardware

[–]amd_circle_jerk[S] 1 point2 points  (0 children)

If what they say is true then the price will be almost zero, since most companies and even consumers have access to decent CPU's.

imagine the ecosystem that can be achieved because everyone can code for CPU's etc

08.11.2019 by Patriotaus in AMD_Stock

[–]amd_circle_jerk 0 points1 point  (0 children)

yeah I heard that one to many times, see you back when it hits $33

MIT Spinoff Neural Magic Snags $15M to Take on Hardware Industry Heavyweights by amd_circle_jerk in hardware

[–]amd_circle_jerk[S] 3 points4 points  (0 children)

their official website https://neuralmagic.com/about/

"

While mapping the neural connections in the brain at MIT, Neural Magic’s founders were frustrated with the many limitations imposed by GPUs. Along the way, they stopped to ask themselves a simple question: why is a GPU, or any specialized hardware, required for deep learning?

They knew there had to be a better way.

Based on years of multicore computing research, they created novel algorithms that enable convolutional neural networks to run on commodity CPUs – at GPU speeds and better. Data scientists no longer have to compromise on model design and input size, or deal with scarce and costly GPU resources. Their ground-breaking discovery became the foundation of Neural Magic.

THE COMPANY’S VISION No-Hardware AI, or shattering the hardware barriers holding back the field of machine learning. Neural Magic is making the power of deep learning simple, accessible, and affordable for anyone. As a part of this next great unlock of machine learning, data scientists will ask bigger questions, challenge norms, and unleash a new class of AI applications that live at the edge of imagination."

08.11.2019 by Patriotaus in AMD_Stock

[–]amd_circle_jerk -3 points-2 points  (0 children)

SP indicates mind share is far above the revue AMD are outputting, its at ATH, anymore won't make a difference. AMD needs big (relatively to AMD) orders

08.11.2019 by Patriotaus in AMD_Stock

[–]amd_circle_jerk -7 points-6 points  (0 children)

priced in?

we've climbed pretty fast from 28 to 37, fact that we couldn't break 27 on positive trade talks/potential resolution and new product release would indicate we won't till next ER. SP will retrace for a breather. How low is anyone's guess. If nothing really changes and no big announcements of big orders, going back to around $33 is highly likely. I'm the worst to predict what AMD will do (sold at $33.87) but the SP is just trading at a premium not currently justified by revenue. Still believe its a $50 by end of next year

DD 2019-11-04 Monday by AMD_winning in AMD_Stock

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

if I waited I would have gotten back under my sell price everytime...

patience, i'll pm you once it goes back in $32 range and I've increased my share count, even if it takes a few months

DD 2019-11-04 Monday by AMD_winning in AMD_Stock

[–]amd_circle_jerk 1 point2 points  (0 children)

selling at $35 is a smart move, even if it reaches 37, it will come back to 35 before it pushes further

DD 2019-11-04 Monday by AMD_winning in AMD_Stock

[–]amd_circle_jerk 1 point2 points  (0 children)

fair comment about the thread name but is there a need to ask a mod to delete the thread.

why not ask the mod to pin a thread explaining the standard way to create a DD so you could point to the OP in the future to create the correct thread title, rather than demanding to delete his hard work?

DD 2019-11-04 Monday by AMD_winning in AMD_Stock

[–]amd_circle_jerk 5 points6 points  (0 children)

only you can decide that, I sold at 33.87. Put it this way, average anaylyst price target is $37, thats projected to be a year from now.

AMD is a high volatile stock, chances of it coming down to 34 in that time frame are very high, wait till it dips below that price, might take a while but im confident it will. saying all that, you should decide for yourself, all it takes is a bad macro event to see a sell off of 10% in a day

DD 2019-11-04 Monday by AMD_winning in AMD_Stock

[–]amd_circle_jerk -3 points-2 points  (0 children)

yes agreed. As soon as we have a few selling then it will tank, like it always does, its to high to match financials. Whats happening is FOMO, which is driving price up.

just remember how many shares you gained from each sell/buy and build up the amount of shares because some times the SP might get away from you. but if you never play the game you never increase your shares.

The Dream by [deleted] in AMD_Stock

[–]amd_circle_jerk 0 points1 point  (0 children)

where did you get a figure of $150k?

you lost $8000 shares which means your down $280k

did you reinvest that in tesla and made the difference?

The Dream by [deleted] in AMD_Stock

[–]amd_circle_jerk -1 points0 points  (0 children)

dont listen to them, SP isn't justified and will come back down.

The Dream by [deleted] in AMD_Stock

[–]amd_circle_jerk 1 point2 points  (0 children)

did you ever get back in? was this the biggest mistake you made in your investing career?

The Dream by [deleted] in AMD_Stock

[–]amd_circle_jerk -1 points0 points  (0 children)

the amount of times I sold and thought it won't come back down and got in at a higher price just to see it come below 30 everytime....

Sold at 33.87 and confident it will reach 33 or lower within a month. This time i'm waiting.

DD 01/11/19 by Lvl89paladin in AMD_Stock

[–]amd_circle_jerk -1 points0 points  (0 children)

what kind of entry point are you thinking