# ASICs and mining hardware > Source: https://timechain.wiki/wiki/asics-and-mining-hardware · TimechainWiki, the Bitcoin encyclopedia. (note · mining) > Bitcoin mining is performed by Application-Specific Integrated Circuits (ASICs) — silicon chips engineered to compute SHA-256 hashes at orders-of-magnitude higher efficiency than general-purpose CPUs or GPUs. The hardware market is structurally concentrated among three principal manufacturers (Bitmain, MicroBT, Canaan), with smaller participants such as Block's Proto effort and Bitdeer's Sealminer. Current-generation flagships (Bitmain's Antminer S23 family, launched early 2026 — the S23 Hyd at ~9.5 J/Th; MicroBT's Whatsminer M7x series at ~14.5 J/Th) push efficiency to roughly 9.5-15 J/Th, down from the ~13-15 J/Th S21/M60 generation of 2024 and 30+ J/Th in 2020. Obsolescence is driven by efficiency rather than hardware failure — older ASICs become unprofitable as difficulty rises past break-even power costs, but the chips remain operational and migrate to cheaper-energy jurisdictions. Manufacturing depends critically on TSMC and Samsung foundries; supply-chain disruptions affect the entire industry simultaneously. The hosting-vs-self-mining distinction structures the operational landscape. --- ## Why this note matters ASIC hardware is the physical substrate of Bitcoin mining. The economic competition over hash production is mediated entirely through ASIC efficiency: who can produce hashes most cheaply per joule wins the long-run mining race. Understanding ASIC generations, manufacturer dynamics, and supply-chain dependencies is the precondition for evaluating mining-industry concentration, energy-mix changes, and the geopolitical implications of mining location. The hardware layer also constrains the broader mining-industry dynamics. Hardware-manufacturer concentration (effectively three principal manufacturers globally) is a real centralization vector that the analytical-critique notes engage; this section provides the operational-empirical foundation those critiques rest on. --- ## The ASIC efficiency trajectory Bitcoin mining has progressed through five hardware eras: - **CPU era** (2009-2010). Original Bitcoin mining used general-purpose CPUs. Efficiency was effectively unmeasurable in J/Th terms because hashrate was so low. - **GPU era** (2010-2013). GPU mining offered substantial efficiency improvements over CPU; the era ended when FPGAs and then ASICs made GPUs uncompetitive. - **FPGA era** (2011-2013). Field-Programmable Gate Arrays provided an intermediate-efficiency option but were quickly displaced by ASICs. - **Early ASIC era** (2013-2017). Avalon (Canaan), KnCMiner, Cointerra, and early Bitmain (Antminer S1, S3, S5, S7, S9). The S9 (2016) ran at ~100 J/Th and remained operationally relevant until 2020 in cheap-power jurisdictions. - **Modern ASIC era** (2017-present). Generational progression from ~30 J/Th (S17 era, 2019) to ~13-15 J/Th (S21 Pro era, 2024) to ~9.5-11 J/Th (Antminer S23 era, 2026). Improvement curve is slowing as silicon-physics limits approach. The efficiency trajectory. Per-joule hash production has improved by roughly 5× over the past five years and roughly 100× over the past decade. The trajectory is slowing — silicon-physics-driven limits (transistor size, leakage current, thermal dissipation) constrain how much further efficiency can be pushed without major-architectural changes. The hash-per-joule metric. The standard operational efficiency measure is Joules per Terahash (J/Th) — lower is better. Current flagship ASICs achieve ~9.5-11 J/Th (Antminer S23 generation, 2026); the prior S21/M60 flagship generation ran ~13-15 J/Th; deployment-grade ASICs across the fleet are typically 15-20 J/Th; legacy hardware (S19 family) operates at 25-35 J/Th and is profitable only in very-cheap-power jurisdictions. --- ## The manufacturer landscape As of 2026, three principal manufacturers dominate the ASIC market: **Bitmain.** The largest. Based in China; produces the Antminer S-series (current flagship: the S23 family, launched early 2026 — the hydro-cooled S23 Hyd at ~9.5 J/Th is the most efficient production miner available). Estimated 60-70% of the ASIC market by hashrate. Bitmain has navigated multiple geopolitical transitions (Chinese mining ban 2021; export controls; chip-foundry access) and has remained the dominant participant. Bitmain also operates substantial mining operations directly through subsidiaries. **MicroBT.** Bitmain's principal competitor. Also Chinese-headquartered; produces the Whatsminer M-series (current flagship: the M7x line, e.g. the M79 at ~14.5 J/Th, succeeding the M60 series). Estimated 25-30% of the ASIC market. MicroBT has historically offered competitive efficiency at similar price points to Bitmain. **Canaan.** Smaller market share (5-10%). Publicly traded on NASDAQ since 2019. Produces the Avalon series (current: the Avalon A16XP at ~12.8 J/Th). Strategic positioning as the more-transparent publicly-accountable manufacturer. **Emerging and historical participants:** - **Intel.** Entered the ASIC market with the Blockscale series in 2022; exited in 2023 after the chip-design approach proved uncompetitive. Intel's exit was viewed as a setback for hardware-manufacturer diversification. - **Block (Square).** Has signaled ongoing ASIC-design effort through the Proto program; production hardware is not yet at scale. - **Bitdeer / Sealminer.** Singapore-based; positioned as a publicly-traded alternative; market share is growing but still small. - **Auradine** (US-based startup) and various smaller participants. The geographic-manufacturer concentration. Both Bitmain and MicroBT are Chinese-headquartered; design and significant operational footprint is in China; foundry production is at TSMC (Taiwan) and Samsung (South Korea). This produces a structural concentration vulnerability: a Taiwan-related geopolitical disruption would affect the entire industry simultaneously. --- ## ASIC design and the SHA-256 specialization ASICs are specialized to compute one task: SHA-256 hashing. The chip's architecture is dedicated hashing circuitry — no general-purpose computation, no memory subsystems beyond what's needed for the SHA-256 algorithm, no I/O beyond the minimal control interface. The specialization is extreme. A modern Bitcoin ASIC dedicates ~99%+ of its silicon area to SHA-256 hashing circuitry. By contrast, a general-purpose CPU dedicates only a small fraction of its silicon to any single computational task. The specialization produces the per-joule efficiency advantage. The cost of specialization. ASICs cannot mine anything other than Bitcoin (and merge-mined Bitcoin-derivative chains; the algorithmic family of "double-SHA-256-on-block-headers" includes all Bitcoin forks). Switching to mining a different cryptocurrency requires different hardware. This is the structural reason mining hardware is specifically Bitcoin-aligned: ASIC investment is non-fungible across cryptocurrency ecosystems. The chip-architecture progression. Modern ASICs use 5nm to 3nm fabrication processes (TSMC N3, N5 nodes). Sub-3nm fabrication is approaching but yield-and-cost considerations slow the transition. Power-and-cooling architecture is increasingly important — modern ASICs run hot enough that air-cooling has substantive limitations and immersion-cooling has emerged as the preferred large-deployment cooling mode. --- ## Supply chain and foundry dependency Bitcoin ASICs are manufactured at semiconductor foundries — primarily TSMC (Taiwan Semiconductor Manufacturing Company) and Samsung Foundry. Bitmain and MicroBT both order chip production from these foundries; the design is the ASIC manufacturer's, but the silicon comes from the foundries. The foundry-capacity allocation. Bitmain and MicroBT compete with AI-chip designers, smartphone designers, and other ASIC customers for foundry capacity. During the 2020-2022 chip shortage, ASIC manufacturers reported substantial delivery delays; this dynamic recurs whenever foundry capacity tightens. The geopolitical-vulnerability concern. TSMC's location in Taiwan creates a structural geopolitical exposure for the entire Bitcoin mining industry. A major disruption to TSMC operations (military, infrastructure, or political) would produce a multi-year shortage of new mining hardware. Samsung's South Korean facilities provide some diversification but are smaller in capacity. US-based foundry expansion (TSMC Arizona; Intel) is in progress but not yet at scale for ASIC production. The supply-chain segmentation. The ASIC supply chain operates in phases: chip design → foundry production → ASIC manufacturer integration → distribution → end-user mining. Each phase has its own bottlenecks and concentration dynamics. --- ## ASIC obsolescence and the secondary market ASIC obsolescence is driven by efficiency, not hardware failure: - Older-generation ASICs (e.g., S19 family at 25-35 J/Th) become unprofitable when network difficulty rises above their break-even hash price. - The hardware itself remains operational; the chips don't fail at end-of-economic-life. - Obsolete-in-one-jurisdiction ASICs are routinely redeployed to lower-cost-energy jurisdictions where break-even economics still favor older hardware. The secondary market. Used ASICs are actively traded on a large secondary market. Pricing tracks hash-price expectations and energy-cost projections for the target deployment jurisdiction. Major resellers (CompassMining, Sazmining, others) provide brokered ASIC sales. The hardware retirement question. The Bitcoin industry's hardware-retirement-and-recycling dynamics are less well-documented than newer-generation deployment. Obsolete ASICs that cannot be profitably redeployed accumulate; the e-waste implications are real but the empirical scale is contested. --- ## Hosting vs self-mining Most modern Bitcoin mining operations split into two distinct models: **Self-mining.** The ASIC owner also owns and operates the mining facility (power infrastructure, cooling, networking, security). Self-mining is the dominant model for large public miners (Marathon, Riot, CleanSpark) who own substantial facilities and operate hardware they purchased directly. **Hosting.** The ASIC owner purchases hardware and pays a third-party operator to host it at the operator's facility. Hosting models include flat-rate-per-kWh (the host charges electricity costs plus a per-kWh fee), revenue-share (the host receives a percentage of mining revenue), or various hybrid structures. Hosting is dominant for smaller-scale ASIC purchasers and for facilities operated by non-mining-focused energy companies. The hosting market segmentation. Hosting providers vary in trust profile, contract structure, and operational reliability. Some hosts have collapsed (Compute North 2022; Core Scientific bankruptcy 2022-2023) producing material asset losses for hosted customers. Due-diligence on hosting providers is an active operational discipline. --- ## Tradeoffs and design choices **Hardware-manufacturer concentration vs decentralization-ideal.** Three principal manufacturers globally is a structural concentration. The alternative (many smaller manufacturers) would distribute supply-chain risk but at the cost of efficiency competition (ASIC design has substantial fixed-cost economies of scale). The competitive dynamic produces ~3 viable participants at any given time. See [Mining centralization concerns](https://timechain.wiki/wiki/mining-centralization-concerns.md) for the substantive analytical engagement. **Foundry concentration vs supply-chain resilience.** TSMC + Samsung covers essentially all advanced-node ASIC fabrication. The geopolitical-vulnerability concern is real; alternative-foundry development (Intel; US-based TSMC capacity) is slower than ideal. The industry has limited optionality on this dimension. **Hosting vs self-mining tradeoffs.** Self-mining captures more margin but requires substantial capital, operational expertise, and facility-management capability. Hosting reduces capital requirements at the cost of margin share. The right choice depends on the operator's scale and operational capability. **Air-cooling vs immersion-cooling.** Air-cooling is operationally simpler and has lower capex; immersion-cooling is more efficient and supports higher-density deployments but adds capex and operational complexity. The contemporary trend favors immersion for large-scale new facilities. **ASIC obsolescence and e-waste.** The hardware-retirement dynamics are an operational reality that the industry has not yet developed mature recycling-and-disposal protocols for. The empirical scale is contested but the structural concern is real. See [Environmental and energy-consumption critiques](https://timechain.wiki/wiki/environmental-and-energy-consumption-critiques.md) for the substantive analytical engagement. **Substantive analytical critique** of hardware-manufacturer concentration lives in [Mining centralization concerns](https://timechain.wiki/wiki/mining-centralization-concerns.md); environmental and e-waste concerns are engaged in [Environmental and energy-consumption critiques](https://timechain.wiki/wiki/environmental-and-energy-consumption-critiques.md). --- ## Open questions for further development - **What is the realistic ASIC-efficiency endpoint?** Silicon-physics limits constrain how far J/Th can be pushed; with the 2026 flagship (S23 Hyd) already at ~9.5 J/Th, the empirical trajectory will likely plateau somewhere in the ~3-7 J/Th range over the coming decade. - **Can hardware-manufacturer diversification meaningfully increase?** Intel's exit suggests the barrier-to-entry is high; Block's Proto effort is in early stages. - **How will TSMC-geopolitical risk evolve?** This is the principal supply-chain exposure for the industry; the trajectory is unclear. - **What is the appropriate e-waste-and-recycling framework for retired ASICs?** Industry-level protocols are immature. - **How does the AI-chip competition affect ASIC foundry-capacity access?** AI compute demand is a major competitor for foundry capacity; the long-run capacity-allocation dynamics affect ASIC delivery timelines and pricing. --- ## Canonical sources for this note - Hashrate Index (Luxor Technology) — quantitative mining-industry data including hardware-by-model hash share - Bitmain, MicroBT, Canaan, Bitdeer product pages and technical specifications - Compass Mining, BraiinsOS+, Hashrate Magazine — industry-level coverage and operational reference - Public-miner quarterly filings (Marathon, Riot, CleanSpark) include hardware-deployment composition - [The Bitcoin Standard - Saifedean Ammous](https://timechain.wiki/wiki/the-bitcoin-standard-saifedean-ammous.md) — Chapter 9 engagement with mining-energy and hardware dynamics - [Broken Money - Lyn Alden](https://timechain.wiki/wiki/broken-money-lyn-alden.md) — empirical-macro engagement with mining infrastructure --- ## Related notes - [Mining pools](https://timechain.wiki/wiki/mining-pools.md) — coordination layer that ASICs participate in - [Hashrate dynamics](https://timechain.wiki/wiki/hashrate-dynamics.md) — network-level metric ASIC efficiency drives - [Miner economics](https://timechain.wiki/wiki/miner-economics.md) — financial layer ASIC purchases sit within - [Public Bitcoin miners landscape](https://timechain.wiki/wiki/public-bitcoin-miners-landscape.md) — sector that deploys ASICs at scale - [Bitcoin mining and energy markets](https://timechain.wiki/wiki/bitcoin-mining-and-energy-markets.md) — energy context for ASIC deployment - [Bitcoin mining and renewables](https://timechain.wiki/wiki/bitcoin-mining-and-renewables.md) — energy-mix data - [Geographic distribution of mining](https://timechain.wiki/wiki/geographic-distribution-of-mining.md) — where ASICs are deployed - [Geopolitics of mining](https://timechain.wiki/wiki/geopolitics-of-mining.md) — sovereign and geopolitical context - [Proof of Work](https://timechain.wiki/wiki/proof-of-work.md) — the cryptographic primitive ASICs compute (home: technical) - [Difficulty adjustment](https://timechain.wiki/wiki/difficulty-adjustment.md) — the algorithm that interacts with ASIC efficiency (home: technical) - [SHA-256](https://timechain.wiki/wiki/sha-256.md) — the specific hash function ASICs are specialized for (home: technical) - [Mining centralization concerns](https://timechain.wiki/wiki/mining-centralization-concerns.md) — substantive analytical engagement (home: criticisms) - [Environmental and energy-consumption critiques](https://timechain.wiki/wiki/environmental-and-energy-consumption-critiques.md) — substantive analytical engagement (home: criticisms) - [Mining pool centralization and the AI infrastructure pivot](https://timechain.wiki/wiki/mining-pool-centralization-and-the-ai-infrastructure-pivot.md) — event-level engagement (home: controversies) - [Early mining era](https://timechain.wiki/wiki/early-mining-era.md) — historical-narrative context (home: history) - [Daniel Batten](https://timechain.wiki/wiki/daniel-batten.md) — BEEST methodology developer - [The Bitcoin Standard - Saifedean Ammous](https://timechain.wiki/wiki/the-bitcoin-standard-saifedean-ammous.md) — Chapter 9 mining engagement - [Broken Money - Lyn Alden](https://timechain.wiki/wiki/broken-money-lyn-alden.md) — empirical-macro framework - [Adam Back](https://timechain.wiki/wiki/adam-back.md) — Hashcash designer; operational engagement with mining infrastructure