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Outbyte PC Repair FREEClear out junk files and repair common Windows errorsFree Scan →Outbyte Driver Updater FREEScan for outdated or missing drivers - takes under a minuteDriver Scan →A December 2021 report described mining-dashboard screenshots labeled “RTX 4090 Ti” and “RX 7000,” with eye-catching claimed rates of roughly 1.23 to 2.47 TH/s. Those labels and figures were never verified as proof of a farm running those specific GPUs. AMD’s RX 7000 family later became a real retail product line; the cited evidence does not establish that an RTX 4090 Ti was a retail product or that one mined at the reported speeds.
What the December 2021 report actually claimed
Tech Times reported on December 13, 2021 that screenshots associated with a mining operation appeared to show one worker labeled “RTX 4090 Ti” and two labeled “RX 7000.” The report described one AMD-labeled worker as overclocked and the other as running at stock settings.
The figures discussed were approximately 1.23 TH/s and as high as 2.47 TH/s. The report compared the claim with an NVIDIA CMP 170HX figure of about 164 MH/s, while warning that the unusually high results could be too good to be true. It said the screenshots were hosted through Flexpool-related mining data, but did not authenticate the GPU identities or establish that the numbers were valid benchmarks.
Why the hash-rate figures are hard to interpret
A terahash per second is one trillion hashes per second. By unit conversion, 1.23 TH/s equals 1,230,000 MH/s, and 2.47 TH/s equals 2,470,000 MH/s. Those are enormous totals to associate with only three conventional GPU workers, but the reported figures cannot safely be treated as per-card performance.
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The source did not establish whether either number was per GPU, per worker, or an aggregate for a larger farm. Nor does the available account settle whether the display reflected a dashboard error, a different unit or algorithm, or an invalid or short-lived reading. Without the original screenshot labels and underlying records, assigning a rate to an individual card would be guesswork.
Hash rate needs a defined workload
A hash-rate number is meaningful only alongside the algorithm and measurement conditions. A useful comparison would identify the coin or pool, miner software and version, driver and BIOS versions, clock speeds, power limit, number of GPUs represented by each worker, and whether the result is a sustained average or a momentary peak. Rejected shares and uptime also matter when judging useful output.
Efficiency comparisons should use hash per watt, not only the headline rate. Software-reported GPU power may omit the motherboard, risers, power-supply losses and cooling. A farm-level efficiency claim therefore needs power measured at the wall. The contemporaneous analysis at Laptops251 also notes the need to distinguish labels and reported performance from independently verified hardware.
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Why “unreleased” made sense then—and what it means now
In December 2021, NVIDIA had not officially announced its RTX 40 series, and AMD’s RX 7000 family was still a future RDNA 3 product line. A report using those names was describing alleged early hardware, not products whose identity or performance had been confirmed.
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AMD later made RX 7000 an official product family. Its Radeon 7000-series page and graphics specifications document retail models including the RX 7900 XTX, RX 7900 XT, RX 7800 XT, RX 7700 XT and RX 7600. That later release does not retroactively verify the 2021 screenshots or identify which, if any, model they showed.
NVIDIA’s official materials document the GeForce RTX 4090. The cited official sources do not establish a retail RTX 4090 Ti. The safest description of the original claim remains an unverified mining screenshot reportedly labeled with unreleased GPU names—not a confirmed RTX 4090 Ti mining deployment.
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Why a dashboard name does not prove GPU identity
Mining software and dashboards display identifiers; a label alone is not a physical inspection. Device names can be manually changed, and BIOS or driver strings can be modified or inaccurate. Early software may misidentify engineering samples or use placeholder names before final drivers exist.
Other possibilities include a test configuration rather than a production farm, genuine pre-release silicon that was not a final retail SKU, or an image that was edited, selectively captured or misattributed. None of these possibilities is demonstrated by the report; they show why a displayed name is not enough to settle the question.
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Evidence has different strengths. Manufacturer documentation and verifiable device identifiers are stronger than a screenshot; physical inspection and repeatable testing are stronger still. A persuasive verification would combine several independent checks:
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lspcior Windows Device Manager, that identify the silicon rather than merely repeat a user-editable label. - BIOS version, subsystem ID, memory type and capacity, and bus width that can be checked against the claimed hardware.
- Clear photographs of the physical boards, including the GPU package, memory modules and power connectors.
- Raw mining logs and pool records identifying the algorithm, software, worker count, share acceptance and sustained results.
- Independent testing that reproduces the result across software versions, with power measured at the wall and operation observed over several hours.
- Corroboration from a manufacturer, board partner, driver release, shipment record or credible hardware reviewer.
A farm photograph, a single rate screenshot, a forum claim without raw logs, or a leaked product name without a device ID is weak evidence on its own. A later repost of the same story is not independent confirmation unless it adds verifiable primary evidence.
Could a real pre-release mining farm affect GPU prices?
Possibly, but this screenshot cannot establish that it happened or support a prediction of a mining-driven shortage. One engineering sample reaching a tester is a different supply-chain claim from a large farm obtaining multiple pre-release boards. A market-impact argument would need verified hardware, credible evidence of scale, and a reason to believe miners could obtain enough cards to affect supply.
Even a genuine, fast GPU is not automatically profitable to mine with. Efficiency, electricity rates, cooling, downtime, coin price, network difficulty, pool fees, purchase price and resale value all shape the economics. Prototype power limits and firmware can also differ from final retail cards, so a pre-release result would not by itself predict a buyer’s operating costs or returns.
Quick Recap
What miners and buyers should do
- Do not buy a GPU or forecast returns based on the alleged 2021 screenshot.
- For a real candidate card, compare results on the same algorithm, miner software and driver, and check sustained accepted shares rather than a peak reading.
- Compare hash per watt using total system power measured at the wall; include cooling and other operating costs.
- Use current, dated assumptions for coin price, network difficulty, electricity, fees and hardware cost. A five-year-old claim says nothing reliable about present profitability.
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