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Do you wanna Learn chip programming ….? Contact : Senior hacker .., Ravindranath reddy B/o Y S Vijayalakshmi…..Kamalapuram Ex.MLA Specialised in : Samsung Chip iPhone chip Banana Chip Bangaladumpa chip

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102,414 просмотров • 2 лет назад •via X (Twitter)

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Why chip in once when you can do it twice?

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Do you think Apple could still win the chip war? NVIDIA is so far out in front.

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I’m not attacking Trump. I’m telling the truth. I’m not afraid to do it. Show you aren’t afraid either and chip in:

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ELON MUSK: We believe the AI5 chip will be roughly comparable performance to an NVIDIA Blackwell, and at much less than 10% of the cost Transcription: I'm super hardcore on chips right now as you may be able to tell. I have chips on the brain. I dream about chips, Literally! Because in order to have a functional robot, you have to have a great AI chip. And it needs to be an inexpensive chip and it needs to be very power efficient So we think we believe the AI5 chip will be probably about a third of the power of say something like a Blackwell, an NVIDIA Blackwell, which is a great chip, for roughly comparable performance. And much less than 10% of the cost. This is a chip that is very much optimized for the Tesla AI software stack. So it's not meant to be a general purpose chip, it's meant to be an amazing chip for the Tesla AI software And I mean a couple of things that I think make... like how is Tesla able to achieve such an improvement? I think it is because we are specialized. We're not trying to... you know, NVIDIA has to serve the superset of all past and future customers. So all of their requirements, all of the software that they've written has to work, which is a very difficult problem. Whereas we just need to make it work for our software. And so we're able to simplify the chip dramatically And then we also, I think we're unique in this, but like we have an integer-based system. And integer operations are fundamentally more efficient than floating point operations. So we can do floating point, but the vast majority of our inference is done in integer. Which is, if you're familiar with sort of logic gates, the simplicity of integer... it's integer is much more power efficient, much more silicon efficient, but you have to, you actually have to train for integer inference, which everyone else is training for floating point. That's kind of like a niche technical detail, but it's actually very important. So, yeah, this is going to be a great chip So this chip will be made in basically in four places: TSMC Taiwan, Samsung Korea, TSMC Arizona, and TSMC Texas. And we already know what improvements to make for AI6. So I'm hopeful that we can within less than a year of AI5 starting production, we can actually transition in the same fab to AI6 and double all of the performance metrics

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X Freeze

305,109 просмотров • 9 месяцев назад

since everyone woke up talking about loops, this article talks about domain chips, which i think are super underrated compared to loops.. a chip is a small specialist that's only good at one job QA, trading, content, research whatever ... and not one giant brain trying to do everything.. you wrap it in three things: >a workflow (same shape every time, so it's stable) >the tools that job needs >a benchmark that says what good looks what makes this special is the benchmark; without it, a loop just changes things randomly, when with it, the chip can score every pass and keep only what actually wins.. the problem with loops is they can spin 1000× and still not improve when a domain chip not only focuses on the domain you delegate to them, but they actually improve themselves with every spin. you can start with domain chips here this repo will help you build your first chip, the workflow, the benchmark pack, and the autoloop policy, with guardrails so it can't fool itself: below you can read the article fully + i put a good example of the difference between having a normal loop and a domain chip..

since everyone woke up talking about loops, this article talks about domain chips, which i think are super underrated compared to loops.. a chip is a small specialist that's only good at one job QA, trading, content, research whatever ... and not one giant brain trying to do everything.. you wrap it in three things: >a workflow (same shape every time, so it's stable) >the tools that job needs >a benchmark that says what good looks what makes this special is the benchmark; without it, a loop just changes things randomly, when with it, the chip can score every pass and keep only what actually wins.. the problem with loops is they can spin 1000× and still not improve when a domain chip not only focuses on the domain you delegate to them, but they actually improve themselves with every spin. you can start with domain chips here this repo will help you build your first chip, the workflow, the benchmark pack, and the autoloop policy, with guardrails so it can't fool itself: below you can read the article fully + i put a good example of the difference between having a normal loop and a domain chip..

JUMPERZ

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#graf: you know, when u are in hell you become a warm guy #mutli: yes yes, this is the chip that makes you gay #graf: its june, what can i do my brother in christ, those are my streamers btw

#graf: you know, when u are in hell you become a warm guy #mutli: yes yes, this is the chip that makes you gay #graf: its june, what can i do my brother in christ, those are my streamers btw

luke/newt 😼 GEOWARE WEEK

37,823 просмотров • 2 месяцев назад

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CHINA JUST HIT THE NUMBER THAT BREAKS THE MEMORY CARTEL. 🚨 Cheap Chinese chips are about to flood the global market. CXMT, China's biggest memory chip maker, can now make advanced memory chips with 80% of every batch coming out good. That number matters. Below 80%, you lose money on every chip. Above 80%, you make money on every chip. China just crossed that line. For years, three companies (Samsung, SK Hynix, and Micron) controlled the entire memory market. They pushed prices up 414% in three months. They handed out $400,000 bonuses. Goldman Sachs calls it "RAMageddon. They thought they had years before China could catch up. They were wrong. CXMT revenue is up 700% versus last year. They're scaling fast.

CryptoGoos

64,440 просмотров • 2 месяцев назад

How do we enable single-layer PCBs to support the routing complexity of multi-layer PCBs? We're making a "Bridge-Programmable Interconnect" chip. This chip is "programmed" by traces etched on the top layer of the PCB, it allows any configurable pin to connect to any other configurable pin Why is this a big deal? Single-layer PCB etching can be done in minutes on a UV laser, but because they don't have vias it is impossible to change layers. Using an interconnect chip, you are guaranteed to be able to route any signal over any other signal. By placing these on your single-layer PCB, you can reconfigure wiring such that you don't need any vias!

How do we enable single-layer PCBs to support the routing complexity of multi-layer PCBs? We're making a "Bridge-Programmable Interconnect" chip. This chip is "programmed" by traces etched on the top layer of the PCB, it allows any configurable pin to connect to any other configurable pin Why is this a big deal? Single-layer PCB etching can be done in minutes on a UV laser, but because they don't have vias it is impossible to change layers. Using an interconnect chip, you are guaranteed to be able to route any signal over any other signal. By placing these on your single-layer PCB, you can reconfigure wiring such that you don't need any vias!

Seve

30,046 просмотров • 9 месяцев назад