RE: Bitcoin mining24 May 2022 13:18
Do you really think the entire Bitcoin mining industry has not implemented an awful lot of optimisation via hardware and software already...
Why on earth would a couple of university students come up with anything ground breaking here is what Argo say on their website about efficiency;
Q: How do you make those kinds of adjustments? What’s the process of optimizing a machine look like?
PH: It’s a lot of trial and error. Without giving away all our secrets, we are essentially studying kernel logs and pattern recognition. We are monitoring how the machines perform at different voltages, frequencies, and temperatures. It’s possible that stability is a big issue. Then when the machine itself is what we call autotuning – or looking for that – we tell it to execute certain algorithms such as how many voltage steps or frequency steps to drop down.
Again, we don’t want to give everything away. But basically what this process achieves is trying to find the lowest stable voltage. How we do that is our secret. I’d also add that when you’re running these lower voltages – which are on the ragged edge of stability in terms of reboots for example – something that makes a huge difference is clean, filtered air. This is where our partners really come through. Dirty chips heat up. Meanwhile, ours are clean so they run cooler and more efficiently. Less voltage and less power equals increased efficiency and increased profits.
Q: How do Argo’s machines compete in terms of efficiency with other machines that are out there?
PH: I can only speak to the machines that manufacturers are selling because I don’t know what other companies are doing. I can only go by what they advertise on their websites. Currently, if we look at what everyone else has on their site with regards to megawatts and petahashes, we are near the forefront in terms of efficiency for what we can produce for the power we consume.
Q: People often look at mining rigs as these robots that are just all doing exactly the same thing. But it’s a little more subtle than that. These rigs each have their own machine and each chip has its own peculiarities and idiosyncrasies, right?
PH: Absolutely. And this is where I may sound a little nutty, because I do talk to the machines every once in a while. It sounds weird, but the machines are all different, even though their specs are the same. What I like to say is that there are four or five different types. These include your straight-A students, your average students, and your trouble makers. So we really have to get those troublemakers up to speed because they consume a lot more power and demand a lot more of our attention. They’re the ones that are either going to make or break us. Because if we don’t pay attention they will either consume way too much power and we’re going to lose money, or they won’t be as reliable and stable as we need.
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