Recently I have re-deployed my RTX-3070's from hacking btc do mining ETH, which is very profiitable now

These old GTX1060-3gb cards are worthless, but just experimenting around I made an interesting discovery.

Normally the 1060-3 would do about 50MH/sec, but when I put the hacking tool on its own NVME m.2. on the MOBO I found that the 8gb bloom filter was almost 100% allowing the GPU to run at max

Now I have 300M addresses from BTC that have value, placed in my 8gb bloom filter gives a false positive of one in a trillion-trillion-trillion, so not often

The 250 MH/sec is how often a private key is created ( more on this later ), and then all possible (comp/uncomp) addresses (h160) are ran through the bloom-filter, so the through-put is really 250 M & 300M , or almost 1,000 TH/SEC address compares, but really higher because I'm doing 4 different combinations so its 4,000 TH/sec, on just one card, but I'm doing six on a rig, so its 24 PH/sec

This yields about one lost address per week to be found

For the record the rtx-3070 was doing 1,000MH/sec, but I was just running the bloom-filter off of an SSD, but it was shared, I have never tested a standalone NVME with the RTX, I could imagine they would do 1TH/sec easily.

WHat's all this mean? Well in BTC secp256k1 you got 10e77 combos, 1/2 that to birthday you got 10e36, divide that by 10e15, and you get 10e15, that many seconds tells you how often you should have a hit in real time, old calculations were on the order of one every 1,000 days.

But on a rig I'm see way more often, because I guess for the simple matter is the napkin, is always different than real world.

So what are the tools?

1.) hack up vanity-search, which is the best gpu solution for generating keys 2.) add the 8gb bloom filter, note that linux only support 4gb shared memory, so the bloom must be cascaded, note that brain-flayer only used a 512mb bloom, so creating a 8gb bloom is a major task in software engineering 3.) hack up vanity-search so that on every new key, its runs through the bloom-filter for every possible address that can be generated, comp, un-comp, h160, eth,...

The Gtx-1060 only uses 970mb of memory, so in effect even the older gtx750 could be used here Smiley

I spent a few years ago spending time putting the bloom-filter on the gtx-1070, but even though there is only 8gb, you can only allocate 700mb max at a time in CUDA dev, so I found near impossible to get a working 4gb bloom running on a GPU, so I fell back to doing it on the CPU.

Note in my rig here I'm just using an 2core i3 ( $50 cpu ), with 4gb memory, as this is essentially 100% gpu

I'm just sharing this cuz well its my hobby, and I have to report.

Lastly, just for the record, like the original brain-flayer dude, I don't spend the coin, I don't even own a single exchange on earth, what I do when I find btc, is I put it in a database, and watch how long it takes be spent after I find it, I have found to date, that almost all coins are gone < 1 yr, which tells me I'm not the only one playing this game.

The selection of random-keys in vanity-search is very critical, of course all that code has to be stripped, as your not looking for prefix, I use a baby-step/giant-step algo that runs through public-keys, where I have 100's of 1,000's every 20 minutes randomly search for a new key from that public hash ( of known high-value ), I do this to make sure that my private key search space is within known valuable addresses, as I'm not looking for a prefix like vanity, I'm looking for a random public address of known value. The 20 min idea, is that time try another, because of scale of the pool, there isn't much duplication.