igneum/docs/analysis/class-v6/reference-population.md

14 KiB

The reference GPU population and the cost per accepted unit of work

8 October 2026, 18:0x UK, branch class-v6-floor-sram, floor lane 3 for the research lane (the pin appended to docs/plans/igneum-2.0.md by the coordinator at 18:16 UK: the served reference population, one row per class, two tests per class, every cell labelled). Beside docs/analysis/class-v6/coexistence-model.md (its section 2 is most of this) and the workbook. Every energy cell carries its label (measured or modelled or estimated, with where); every cost cell is arithmetic on labelled inputs and is modelled; prices are approximate street and list figures of October 2026. The script is scratchpad/refpop.py, run on build-4 at 18:02 UK. Apple is reported and not headlined. Nothing here is a boundary; the founder is not named.

1. The measure

Cost per accepted MH/s-hour, in micro-USD (USD x 10^-6): annualised hardware plus power plus hosting, failures and fees, divided by the year's accepted work. Accepted work is 97 percent of raw (rejects 0.5 percent, downtime 2.0, epoch preparation and propagation 0.5; approximate from the devnet's share rates); the pool fee 1 percent. Two tests per class:

  • The existing owner: hardware sunk; pays power at the card's floor joules (the knee with the knobs, lane 4's class v5 table and the tiers file app/igneum-app/tiers/class-v5-tiers.json), a wear allowance of 5 percent of the used price a year, and fees; the alternative use (the card's rental yield on a public market, approximate) is reported in its own column and not deducted, so the owner's number is the floor of what the card costs to run.
  • The new entrant: buys at MSRP (the list price) or at street (October 2026, approximate), operates two years, resells at the table's fraction of MSRP, with 3 percent a year of failures; power as the owner.

Three electricity prices (USD 0.06, 0.12, 0.25 per kWh); hosting 0 at home. The energy columns: the floor is the knee with the card's knobs (the lock on Blackwell and Ada, the cap on Ampere, the ADLX offsets on AMD; nothing on Apple or Intel), the stock row unlocked at 100 percent; "measured" names the instrument's row (PC 1, PC 2, a rented host, lane 4's sweep), "modelled" a knee read from a measured stock row by the card's architecture, "estimated" a figure with no instrument behind it (the Arc B580's watts).

2. The plan's population (block 1)

Class Memory Microjoules per hash, floor / stock MH/s at the floor Wh per MH/s-hour MSRP / street / used (USD) Resale after 2 y Existing owner at 0.06 / 0.12 / 0.25 New entrant at MSRP, 0.06 / 0.12 / 0.25 New entrant at street, 0.06 / 0.12 / 0.25 Hardware share of the street entrant at 0.12 Alternative use (rental yield), per MH/s-hour Energy label Rate label
RTX 5090 32 GB 2.33 / 3.48 134.8 2.33 1999 / 2600 / 2200 55 percent 243 / 388 / 704 566 / 711 / 1027 846 / 992 / 1307 71 pct 2967 measured (PC 1, tiers file) measured
RTX 5080 16 GB 2.06 / 3.48 71.2 2.06 999 / 1100 / 900 50 percent 204 / 332 / 611 570 / 699 / 978 660 / 788 / 1067 67 pct 2809 measured (rented, lane 4) measured
RTX 4090 24 GB 3.58 / 5.00 58.0 3.58 1599 / 1700 / 1300 45 percent 357 / 580 / 1065 1178 / 1402 / 1887 1288 / 1512 / 1996 70 pct 6034 stock measured, knee modelled (lane 4) measured
RTX 3090 (used) 24 GB 4.51 / 5.03 37.8 4.51 1499 / 900 / 650 30 percent 384 / 666 / 1276 2030 / 2311 / 2922 1032 / 1314 / 1924 57 pct 5291 stock measured, cap modelled (lane 4) measured
RX 9070 XT 16 GB 7.90 / 10.70 18.9 7.90 599 / 650 / 520 45 percent 657 / 1151 / 2220 1591 / 2085 / 3154 1761 / 2255 / 3324 56 pct 7937 measured (PC 1, ADLX -500 MHz -30 pct) measured
RX 7600 8 GB 8 GB 5.4 (modelled knee) / 7.2 15.8 5.40 269 / 270 / 200 40 percent 413 / 750 / 1,481 981 / 1,318 / 2,049 985 / 1,322 / 2,053 49 pct 3,167 class v6: rate MEASURED 15.79 MH/s (PC 1, the AMD-and-Intel lane); stock 113 W measured, 7.2 microjoules; the knee 5.4 MODELLED by the 9070 XT's ADLX grid (24 percent of the draw for no rate), the metered knee the morning's batch 03; the earlier row (13.9 MH/s, 6.2 / 8.1) was the class v4 sub-version 3 read measured rate and stock watts, modelled knee
Intel Arc B580 12 GB 10.40 / 10.40 10.7 10.40 249 / 260 / 200 40 percent 761 / 1411 / 2819 1529 / 2179 / 3587 1594 / 2243 / 3651 42 pct 4673 rate measured 10.4 to 11 MH/s (PC 2); watts unread, about 110 W by the board's class (estimated); no lever measured rate, estimated watts
Apple M5 Max (reported, not headlined) 36 GB 1.40 / 1.40 27.1 1.40 3999 / 4000 / 3200 55 percent 789 / 876 / 1066 4268 / 4356 / 4545 4271 / 4358 / 4548 96 pct 0 (a workstation; an owner only) measured (GPU and DRAM channels, 6 October) measured

Two more Apple rows (added 18:2x UK; the founder's own powermetrics reads, 8 October 18:1x UK, v2.0.0 class v5 on the 2.0 devnet, TEAM-REPORTED, GPU power only and not the wall, which is why they sit beside and not in place of the metered 1.40 row above; reported, not headlined; the Apple tier mines and does not prove; a Mac is an owner only, the entrant rows are the arithmetic for completeness):

Class Memory Microjoules per hash (GPU power only) MH/s Wh per MH/s-hour MSRP / street / used (USD) Resale after 2 y Existing owner at 0.06 / 0.12 / 0.25 New entrant at MSRP, 0.06 / 0.12 / 0.25 New entrant at street Hardware share of the entrant at 0.12 Energy label Rate label
MacBook Pro M5 Max, 40 GPU cores, 64 GB 64 GB unified 0.73 22.67 0.73 3,999 / 4,000 / 3,200 55 percent 884 / 930 / 1,028 5,043 / 5,089 / 5,188 5,046 / 5,092 / 5,191 98 percent team-reported (powermetrics, GPU rail only, 16.65 W) team-reported
Mac mini M6, 12 GPU cores, 16 GB 16 GB unified 0.73 11.0 0.73 999 / 1,000 / 800 55 percent 478 / 523 / 622 2,619 / 2,664 / 2,763 2,624 / 2,670 / 2,769 97 percent team-reported (powermetrics, GPU rail only, 8.03 W) team-reported

Reading: at the GPU rail alone both Macs are the most efficient honest joule in the table (0.73 against the 5070 Ti's 1.70), and still the dearest honest owners per accepted unit after the datacentre parts (the wear allowance on a USD 3,200 to 800 machine at 11 to 23 MH/s), because the Mac's cost is the machine, not the power; the M6 mini's owner (478 at 0.06) sits between the 3060 and the 9070 XT, the M5 Max laptop's (884) above every consumer card. The wall and the SoC's other rails are not in the 0.73; the metered M5 Max row (1.40 at the GPU and DRAM channels) is the comparable figure for the coexistence model.

3. The rest of the measured classes (block 2)

Class Memory Microjoules per hash, floor / stock MH/s at the floor Wh per MH/s-hour MSRP / street / used (USD) Resale after 2 y Existing owner at 0.06 / 0.12 / 0.25 New entrant at MSRP, 0.06 / 0.12 / 0.25 New entrant at street, 0.06 / 0.12 / 0.25 Hardware share of the street entrant at 0.12 Alternative use (rental yield), per MH/s-hour Energy label Rate label
RTX 5070 Ti 16 GB 1.70 / 2.84 77.0 1.70 749 / 800 / 650 50 percent 156 / 263 / 493 412 / 519 / 749 454 / 560 / 790 62 pct 1948 stock measured (rented), knee modelled measured
RTX 5070 12 GB 1.75 / 2.99 41.0 1.75 549 / 560 / 450 50 percent 175 / 284 / 521 531 / 640 / 877 548 / 657 / 894 67 pct 2439 stock measured, knee modelled measured
RTX 5060 Ti 16 GB 16 GB 2.36 / 4.02 19.0 2.36 429 / 450 / 360 45 percent 260 / 407 / 727 929 / 1077 / 1396 999 / 1146 / 1466 74 pct 4211 stock measured, knee modelled measured
RTX 5060 8 GB 2.21 / 3.76 17.0 2.21 299 / 310 / 250 45 percent 225 / 364 / 663 747 / 885 / 1184 788 / 926 / 1225 70 pct 3529 stock measured, knee modelled measured
RTX 4080 16 GB 3.51 / 4.92 45.0 3.51 999 / 1000 / 700 40 percent 312 / 531 / 1006 1058 / 1277 / 1752 1059 / 1279 / 1754 66 pct 4444 stock measured, knee modelled measured
RTX 4070 12 GB 3.58 / 5.82 31.1 3.58 549 / 550 / 400 40 percent 300 / 524 / 1008 891 / 1114 / 1599 893 / 1116 / 1601 60 pct 3215 measured (PC, 1,860 MHz + 50 pct cap) measured
RTX 4060 Ti 16 GB 16 GB 3.81 / 5.32 17.6 3.81 499 / 420 / 290 35 percent 336 / 574 / 1090 1398 / 1636 / 2152 1116 / 1354 / 1870 65 pct 4545 stock measured, knee modelled measured
RTX 3080 (used) 10 GB 4.20 / 4.54 40.8 4.20 699 / 450 / 330 25 percent 310 / 573 / 1141 1071 / 1334 / 1902 687 / 950 / 1518 45 pct 2941 modelled (both rented hosts capped) measured
RTX 3060 (used) 12 GB 5.77 / 6.40 23.8 5.77 329 / 260 / 190 25 percent 408 / 768 / 1550 1013 / 1374 / 2155 831 / 1191 / 1972 39 pct 2521 stock measured, cap modelled measured
H100 (hosted) 80 GB 2.00 / 2.58 90.0 2.00 25000 / 25000 / 18000 50 percent 1313 / 1438 / 1709 8869 / 8994 / 9265 8869 / 8994 / 9265 97 pct 27778 stock measured (rented), lock modelled measured
A100 (used) 80 GB 2.89 / 2.99 60.0 2.89 10000 / 10000 / 6000 35 percent 775 / 955 / 1346 7001 / 7182 / 7573 7001 / 7182 / 7573 95 pct 16667 stock measured (rented) measured

4. The chip rows beside them, at the adversary lane's reconciled tickets (development sunk, farm hosting USD 0.02 per kWh on top)

Chip (reconciled ticket) Microjoules per hash USD per MH/s Life All-in at 0.06 / 0.12 / 0.25 Hardware / power at 0.06 Label
GDDR7 machine (adversary lane, reconciled) 1.55 4.84 1 y 722 / 819 / 1029 586 / 128 modelled: 1.5x per joule vs the 5090 lock, USD 4.84 per MH/s
GDDR7 machine (adversary lane, reconciled) 1.55 4.84 3 y 338 / 435 / 646 207 / 128 modelled: 1.5x per joule vs the 5090 lock, USD 4.84 per MH/s
GDDR7 machine (adversary lane, reconciled) 1.55 4.84 5 y 262 / 359 / 569 131 / 128 modelled: 1.5x per joule vs the 5090 lock, USD 4.84 per MH/s
Stored-half hybrid (reconciled) 1.21 2.80 1 y 443 / 519 / 682 339 / 100 modelled: 1.93x, USD 2.80
Stored-half hybrid (reconciled) 1.21 2.80 3 y 221 / 297 / 460 120 / 100 modelled: 1.93x, USD 2.80
Stored-half hybrid (reconciled) 1.21 2.80 5 y 177 / 253 / 416 76 / 100 modelled: 1.93x, USD 2.80
N2 SRAM die (reconciled, 1 to 1.5 kW machine) 1.01 1.00 1 y 207 / 270 / 407 121 / 84 modelled: 2.3x, USD 1.0 (0.5 to 1.6)
N2 SRAM die (reconciled, 1 to 1.5 kW machine) 1.01 1.00 3 y 128 / 191 / 328 43 / 84 modelled: 2.3x, USD 1.0 (0.5 to 1.6)
N2 SRAM die (reconciled, 1 to 1.5 kW machine) 1.01 1.00 5 y 112 / 175 / 312 27 / 84 modelled: 2.3x, USD 1.0 (0.5 to 1.6)

5. Reading the table

  1. On every consumer card the owner's cost is 60 to 70 percent electricity, so the grid price is the owner's whole variable; the entrant's cost is 60 to 75 percent hardware at street prices, so the card's price and its resale are the entrant's. The cheapest honest owner is a 5070 Ti at its knee (156 micro-USD at 0.06, 263 at 0.12); the cheapest entrant the same card at MSRP (412 at 0.06, 519 at 0.12).
  2. The 8 GB tier (the RX 7600 at 13.9 MH/s and 6.2 microjoules at its estimated knee, 8.1 measured at stock) costs an owner 2.6x the 5070 Ti per accepted unit and an entrant 1.4x at street; the Arc B580 (10.7 MH/s measured, watts estimated) 4x and 1.5x. These are the classes the dataset floor retires first, and their owners mine only below about 8 cents per kWh at the GPU equilibrium of the coexistence model.
  3. Datacentre parts and the Mac never enter as entrants (hardware 95 percent or more of the cost) and mine only as owners with nothing better to do, which their rental yields (USD 1 to 3 an hour, 10x to 30x their mining cost per MH/s-hour) say they always have.
  4. Against the chip rows at the reconciled tickets and a 3-year life, the GDDR7 machine (338 micro-USD at 0.06) sits above every Blackwell owner and between the Blackwell entrant at MSRP and at street; the hybrid (221) and the die (128) sit below every owner at 0.12. The coexistence model carries what that means; this table carries the cells.

6. Unverified and owed

  • The RX 7600's knee is estimated by the 9070 XT's ADLX grid; its own 24-point grid runs on PC 1 and replaces the floor cell. Its dataset rows landed (18:2x UK, PC 1, rate only, fingerprints equal to the 5090's): 15.75 / 15.46 / 15.34 / 15.35 MH/s at 1 / 2 / 4 / 5.5 GiB, the 5.5 GiB dataset fitting at 6,732 MiB of 8,176; the table's 13.9 MH/s is the class v5 row at stock from the card-in job, within the day's spread (13.4 to 15.8 across jobs and classes); the 8 GB tier pays under 3 percent of rate for the 5.5 GiB step. The Arc B580's watts are unread (about 110 W by the board's class); the Intel lane's meter row replaces them. The Ada and Ampere knees are modelled (no rented host allows the lock).
  • MSRP and street prices are October 2026 approximations; the 5090's street has been 2x MSRP this year; used and resale fractions are approximate.
  • The rental yields are approximate public-market figures; the accepted-work factor, the wear allowance and the failure rate are assumptions.
  • Nothing was run on the Mac; the script ran on build-4.