machinekob

10 ms·

91.
by machinekob 3y ago
It is considering its partially owned by few YouTubers and you hear about them everywhere, they are not as big as Dell or Asus but they are on the market only for few years so.
92.
by machinekob 3y ago
Not in 2022-2023 wtf are you talking about.
93.
by machinekob 3y ago
People are just not buying AMD stuff and AMD wasn't able to provide enough chips when they want (last year case when they just "paper" launch chips 4fun with big hype) it's not some hidden conspiracy.
94.
by machinekob 3y ago
Probably dependant on country interpretation, but you can try make it to EU level institutions for proper help. It seems to be pretty easy to get your contract to terminate here in Poland even in case of non-competition clausule so it would
95.
by machinekob 3y ago
"Unfair contract terms" its pretty easy in most cases especially if its something as blant as changing price backward without acceptance of other site. Also every country can have different interpretation (It is possible that some
96.
by machinekob 3y ago
In EU it's indeed illegal and in 90% of EU countries it won't even go to court. But they can probably force you to not upgrade anything cause of licensing of the new software or if you upgrade they'll make you pay fees from t
97.
by machinekob 3y ago
> Every system is good if you are making money not from work but from wealth. But not every system is taxing you 65% from work and 0-20% from wealth. Indeed US wealth disparity is enormous but this is also a country with highest number
98.
by machinekob 3y ago
In which European cities PhD can afford to buy apartment (Paris? London? Berlin?). Or you are speaking about smaller cities in which you can also make the same argument for US.
99.
by machinekob 3y ago
Tbh there is a price for that, our taxation is one of the highest in the world with stagnation for past 15 years (even with enormous "immigration" flow). Also people who are in top of their fields almost never stay in Europe (espe
100.
by machinekob 3y ago
And Vulkan drivers are like 10-20% slower compared to DX11 on NV.
101.
by machinekob 3y ago
Ok :)
102.
by machinekob 3y ago
TensorRT with torchscript is a king as its a lot easier to modify, but ONNX is fine as you can also import some ONNX models to TensorRT -> https://docs.nvidia.com/deeplearning/tensorrt/api/python_api... Bu
103.
by machinekob 3y ago
ONNX is pretty old at least 5 years and its still mostly useful on Nvidia GPU's or x64 CPU. TBH. cool that projects like that are still alive but MLIR looks like the future of proper model storage, and custom format and loading is stil
104.
by machinekob 3y ago
Non-commercial licence :[
105.
by machinekob 3y ago
ROCm is one of the worst GPU software (+drivers) I ever touched, randomly dropping/ not supporting GPUs, random crashes without any proper information etc not integrated with any meaningful framework (It was ~3 years ago). I have more
106.
by machinekob 4y ago
How much plumbers will we need in a future? I'm pretty sure that it'll end with oversupply on traders (especially in stagnant economy) if AI will cut most of the knowledge workers the world will have to move into some sort of utop
107.
by machinekob 4y ago
Its FP16/Int8 inference only (cause you can only access it via apple frameworks that dosent support training). Also its only used if your data is small enough (4mb cache) it wont be useful for big transformers/ big images processi
108.
by machinekob 4y ago
Macbooks have pretty bad GPU per USD performance compared to Nvidia but this post is just a clickbait. "Why advertise some super AI chip if it doesn’t do AI stuff? Who knows." => Neural engine is fp16/int8 limited so it wo
109.
by machinekob 4y ago
VScode works better on m1 mini than on Windows with 12700k+rtx3090 at least for Python in my case.
110.
Is Jensen voice AI generated at current GTC 2023?
1 points by machinekob 4y ago|0 comments
111.
by machinekob 4y ago
They don't write about that, the "paper" is more press release.
112.
by machinekob 4y ago
Deep Learning training was always very expensive but models werent getting such a massive bump in size every year (for state of the art) and now they are just getting 10x bigger every iteration but AI accelerators / GPUs are getting li
113.
by machinekob 4y ago
ANE is only accessible via coreml and internal apple frameworks so i would assume it wont be using ANE but maybe some neural accelerators in Intel/AMD/Nvidia processors and GPUs. Accelerators inside GPU (like Tensorcores) seems li
114.
by machinekob 4y ago
If you are Microsoft as GigaScaler with almost unlimited cash and can ignore getting profit of your api/models its pretty easy to undercut all the other companies and offer it very cheap just to gain advantage in the future.
115.
by machinekob 4y ago
Sadly big players take all in current world and microsoft is pretty big :|
116.
by machinekob 4y ago
I hate when people don't include approximation for traning before final hyperparameters are found as its most costly part of whole process most of the time. Just yes we train it for so long etc. but they never speak about tens or even
117.
by machinekob 4y ago
AMD based supercomputers are mostly (maybe even all) float64 machines more physic simulations than Deep Learning/AI (BF16/FP16)
118.
by machinekob 4y ago
But model need about 350gb so I'm not sure one A100 with 80gb will be enough?
119.
by machinekob 4y ago
But code is open source so r*ussians who cares?
120.
by machinekob 4y ago
It's a lot of obj-c/c on apple and syscalls on other platforms, I think the biggest point its to get rid of annoying obj-c calls and make it fully cross platform as its a nightmare for both safety and performance in many cases to

More ›