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m15i

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The AI revolution already transforming education

ft.com
61 points·by m15i·il y a 3 ans·57 comments

All You Need Is One GPU: Inference Benchmark for Stable Diffusion

lambdalabs.com
2 points·by m15i·il y a 4 ans·0 comments

[untitled]

19 points·by m15i·il y a 4 ans·0 comments

comments

m15i
·il y a 3 ans·discuss
https://archive.md/PvbqA
m15i
·il y a 3 ans·discuss
The Prologue to Bertrand Russell's Autobiography

What I Have Lived For

Three passions, simple but overwhelmingly strong, have governed my life: the longing for love, the search for knowledge, and unbearable pity for the suffering of mankind. These passions, like great winds, have blown me hither and thither, in a wayward course, over a great ocean of anguish, reaching to the very verge of despair. I have sought love, first, because it brings ecstasy - ecstasy so great that I would often have sacrificed all the rest of life for a few hours of this joy. I have sought it, next, because it relieves loneliness--that terrible loneliness in which one shivering consciousness looks over the rim of the world into the cold unfathomable lifeless abyss. I have sought it finally, because in the union of love I have seen, in a mystic miniature, the prefiguring vision of the heaven that saints and poets have imagined. This is what I sought, and though it might seem too good for human life, this is what--at last--I have found.

With equal passion I have sought knowledge. I have wished to understand the hearts of men. I have wished to know why the stars shine. And I have tried to apprehend the Pythagorean power by which number holds sway above the flux. A little of this, but not much, I have achieved.

Love and knowledge, so far as they were possible, led upward toward the heavens. But always pity brought me back to earth. Echoes of cries of pain reverberate in my heart. Children in famine, victims tortured by oppressors, helpless old people a burden to their sons, and the whole world of loneliness, poverty, and pain make a mockery of what human life should be. I long to alleviate this evil, but I cannot, and I too suffer.

This has been my life. I have found it worth living, and would gladly live it again if the chance were offered me.
m15i
·il y a 3 ans·discuss
how does antibiotic medication affect our gut microbiota generally, and our alzheimer’s disease risk specifically?
m15i
·il y a 3 ans·discuss
https://archive.md/zChiM
m15i
·il y a 4 ans·discuss
https://archive.md/fXRWr
m15i
·il y a 4 ans·discuss
https://archive.ph/kQVpU
m15i
·il y a 5 ans·discuss
Regarding training ResNet50, even though img/sec is less than the 3090, could a 64gb m1 max accommodate larger image sizes than the 24gb 3090?
m15i
·il y a 5 ans·discuss
Good points. I look forward to some benchmarks. Just hoping for an alternative to Nvidia sooner than later. Dreaming apple will solve it and offer a 1.5 TB mac pro.
m15i
·il y a 5 ans·discuss
It’s all about the RAM. 64GB would allow input of larger image sizes and/or nets with more parameters. Right now, the consumer card with the most RAM is the rtx 3090 which is only 24GB, and in my opinion overpriced and inefficient in terms of wattage (~350W). Even the ~$6000 RTX A6000 cards are only 48GB.
m15i
·il y a 5 ans·discuss
Anyone know if that “Device Memory 42.7 GB” is fixed or can be increased?
m15i
·il y a 5 ans·discuss
How will these chips do for training neural nets? The 64 GB RAM would be awesome for larger models, so I’m willing to sacrifice some training speed.
m15i
·il y a 5 ans·discuss
Will the 64GB RAM max chip be practical for training deep learning models? Any benchmarks vs GTX 3090?
m15i
·il y a 5 ans·discuss
Any thoughts on the value proposition if/when >= 64 GB RAM will be available on apple silicon? Even if the chips are relatively slow, the extra RAM could be worth it.
m15i
·il y a 6 ans·discuss
I too am curious how 64 GB unified memory performs for training deep learning models. Even if speed isn't amazing, 64 GB is much greater than the 24 GB available in Nvidia's flagship consumer cards, which would allow for inputting larger images, bigger batch sizes, deeper networks etc. Also, will be interesting to see how all of the different cores are used.