Power requirements wouldn't be a surprise. Specifics of cooling while maintaining minimum noise might require some investigation and implementation though.
Well, the m.2 SSD slot has its own ventilation shaft and holes to get the hot air out. So there should always be and active air flow around the m.2 ssd that has no impact on the airflow for the rest of the components.That was my second point. It could be sony wants to optimize cooling on per ssd basis. One could interpret this as optimization == business as usual or throw FUD and speculate about sony being in trouble with overheating SSDs.
Supposedly with 98 MH/s, which is RX 6800 +50%. With the same memory interface. Hardly believable.They've found a way to mine with the PS5. It's over.
They've found a way to mine with the PS5. It's over.
Scan the QR code.
Its fake.
Working development of image processing for a certain game console.
-You will be responsible for the development and implementation of a 3D object detection system that uses deep learning to process images from a camera.
-You will be responsible for developing and implementing a range of algorithms to maximise the performance of the H/W. You will read and understand academic papers (in English), use described algorithms and sample code, implement (e.g. port to GPU, speed up) and evaluate.
But the PS5 doesnt have hardware ML implementation right?Sony is hiring engineers to work on deep learning image processing
New job 2021/4~, seems for PSVR2
https://cmc-co.jp/projects/34779.html
What is "hardware ML implementation"? Surely you can't mean you'd need to have matrix-crunchers to count has "hardware ML"?But the PS5 doesnt have hardware ML implementation right?
So is this a custom software solution I suppose?
But the PS5 doesnt have hardware ML implementation right?
So is this a custom software solution I suppose?
ps5 does not support mixed precision dot-product instructions INT8/4 so probably will be fp16What is "hardware ML implementation"? Surely you can't mean you'd need to have matrix-crunchers to count has "hardware ML"?
RDNA2 supports INT4 (8:1FP32) and INT8 (4:1FP32) precisions, which are useful for ML.
ps5 does not support mixed precision dot-product instructions INT8/4 so probably will be fp16
"We knew that many inference algorithms need only 8-bit and 4-bit integer positions for weights and the math operations involving those weights comprise the bulk of the performance overhead for those algorithms," says Andrew Goossen. "So we added special hardware support for this specific scenario. The result is that Series X offers 49 TOPS for 8-bit integer operations and 97 TOPS for 4-bit integer operations. Note that the weights are integers, so those are TOPS and not TFLOPs. The net result is that Series X offers unparalleled intelligence for machine learning."
This kind of assumes that Sony had not done similar customizations, which could be possible.
Anyways, the closest thing I could find to the customizations was from the DigitalFoundry article and a slide from Hot-Chips, so apologies for pulling in non-Sony or non-PS5 material.
https://www.eurogamer.net/articles/digitalfoundry-2020-inside-xbox-series-x-full-specs
ps5 does not support mixed precision dot-product instructions INT8/4 so probably will be fp16
Not sure how MS claims it's "special hardware support" or customizations when AMD includes it in every RDNA2-product?
Except for PS5 apparently.
True enough, but it is rather questionable no matter whose idea it was, IMO, for MS to claim it's "added special hardware support" when it's base architecture feature, which MS definitely knew at the time.This could be something Ms wanted added and so into RDNA 2.0 it went. Still doesn't mean that it wasn't special hardware that MS wanted in but now its just been included.
I have no idea of Sony has this or not.
This seems to be for object identification when using a 3D stereo camera. I can't tell if it's for PSVR2, it could be for some AR games like the Playroom on PS4.Sony is hiring engineers to work on deep learning image processing
New job 2021/4~, seems for PSVR2
https://cmc-co.jp/projects/34779.html
Dont ask me difficult questionsWhat is "hardware ML implementation"? Surely you can't mean you'd need to have matrix-crunchers to count has "hardware ML"?
RDNA2 supports INT4 (8:1FP32) and INT8 (4:1FP32) precisions, which are useful for ML.