Haeba bohlale ba maiketsetso bo nkoa e le leeto ho tloha A ho ea B, tšebeletso ea khomphutha ea leru ke boema-fofane kapa seteishene sa terene se lebelo le phahameng, 'me khomphutha ea moeli ke tekesi kapa baesekele e arolelanoang. Khomphutha ea moeli e haufi le lehlakore la batho, lintho, kapa mehloli ea data. E amohela sethala se bulehileng se kopanyang polokelo, lipalo, phihlello ea marang-rang, le bokhoni ba mantlha ba ts'ebeliso ho fana ka lits'ebeletso bakeng sa basebelisi ba haufi. Ha e bapisoa le lits'ebeletso tsa khomphutha ea leru tse sebelisoang bohareng, khomphutha ea moeli e rarolla mathata a kang ho lieha ha nako e telele le sephethephethe se phahameng sa ho kopana, e fana ka ts'ehetso e betere bakeng sa lits'ebeletso tsa nako ea sebele le tse hlokang bandwidth.
Mollo oa ChatGPT o bakile leqhubu le lecha la nts'etsopele ea AI, o potlakisa ho teba ha AI libakeng tse ling tsa ts'ebeliso joalo ka indasteri, mabenkele, matlo a bohlale, metse e bohlale, jj. Palo e kholo ea data e hloka ho bolokoa le ho baloa qetellong ea ts'ebeliso, 'me ho itšetleha ka leru feela ha ho sa khona ho fihlela tlhoko ea' nete, komporo ea moeli e ntlafatsa kilometara ea ho qetela ea lits'ebetso tsa AI. Tlas'a leano la naha la ho nts'etsapele moruo oa dijithale ka matla, komporo ea leru ea Chaena e kene nakong ea nts'etsopele e kenyeletsang, tlhoko ea komporo ea moeli e eketsehile, 'me kopanyo ea moeli le pheletso ea leru e fetohile tataiso ea bohlokoa ea ho iphetola ha lintho nakong e tlang.
Mmaraka oa lik'homphieutha oa Edge o tla hola ka 36.1% CAGR lilemong tse hlano tse tlang
Indasteri ea lik'homphieutha tsa moeli e kene mohatong oa nts'etsopele e tsitsitseng, joalo ka ha ho pakoa ke ho fapana butle-butle ha bafani ba litšebeletso tsa eona, boholo ba 'maraka bo ntseng bo hola, le katoloso e eketsehileng ea libaka tsa ts'ebeliso. Mabapi le boholo ba 'maraka, data e tsoang tlalehong ea ho latela ea IDC e bontša hore boholo ba 'maraka ka kakaretso ba li-server tsa komporo ea moeli Chaena bo fihlile ho US$3.31 bilione ka 2021, 'me boholo ba' maraka ka kakaretso ba li-server tsa komporo ea moeli Chaena bo lebelletsoe ho hola ka sekhahla sa kholo ea selemo le selemo sa 22.2% ho tloha ka 2020 ho isa ho 2025. Sullivan o bolela esale pele hore boholo ba 'maraka oa lik'homphieutha tsa moeli Chaena bo lebelletsoe ho fihla ho RMB 250.9 bilione ka 2027, ka CAGR ea 36.1% ho tloha ka 2023 ho isa ho 2027.
Indasteri ea tikoloho ea lik'homphieutha tsa Edge ea atleha
Khomphutha ea Edge hajoale e se e le mohatong oa pele oa seoa sena, 'me meeli ea khoebo ketane ea indasteri e batla e le lerootho. Bakeng sa barekisi ka bomong, hoa hlokahala ho nahana ka kopanyo le maemo a khoebo, 'me hoa hlokahala hape ho ba le bokhoni ba ho ikamahanya le liphetoho maemong a khoebo ho tloha boemong ba botekgeniki, 'me ho boetse hoa hlokahala ho netefatsa hore ho na le tekanyo e phahameng ea ho lumellana le lisebelisoa tsa hardware, hammoho le bokhoni ba boenjiniere ba ho lisa merero.
Ketane ea indasteri ea lik'homphieutha tsa bohale e arotsoe ka barekisi ba li-chip, barekisi ba li-algorithm, bahlahisi ba lisebelisoa tsa hardware, le bafani ba litharollo. Barekisi ba li-chip hangata ba hlahisa li-chip tsa lipalo ho tloha lehlakoreng le leng ho ea lehlakoreng le leng ho ea lehlakoreng le leng, 'me ho phaella ho li-chip tsa lehlakore le leng, ba boetse ba hlahisa likarete tsa ho potlakisa le ho tšehetsa li-platform tsa nts'etsopele ea software. Barekisi ba li-algorithm ba nka li-algorithm tsa pono ea khomphutha e le motheo oa ho haha li-algorithm tse akaretsang kapa tse ikhethileng, 'me ho boetse ho na le likhoebo tse hahang li-mall tsa algorithm kapa li-platform tsa koetliso le tsa push. Barekisi ba lisebelisoa ba tsetela ka mafolofolo lihlahisoa tsa lik'homphieutha tsa bohale, 'me mofuta oa lihlahisoa tsa lik'homphieutha tsa bohale o lula o ruisoa, butle-butle o theha pokello e felletseng ea lihlahisoa tsa lik'homphieutha tsa bohale ho tloha ho chip ho ea mochining oohle. Bafani ba litharollo ba fana ka litharollo tse kopantsoeng tsa software kapa software-hardware bakeng sa liindasteri tse itseng.
Lisebelisoa tsa indasteri ea lik'homphieutha tsa Edge lia potlakisa
Tšimong ea toropo e bohlale
Tlhahlobo e felletseng ea thepa ea litoropo e sebelisoa hangata mokhoeng oa tlhahlobo ea letsoho, 'me mokhoa oa tlhahlobo ea letsoho o na le mathata a litšenyehelo tse jang nako e ngata le tse hlokang basebetsi ba bangata, ho itšetleha ka ts'ebetso ho batho ka bomong, ho koahela ho fokolang le makhetlo a tlhahlobo, le taolo e fokolang ea boleng. Ka nako e ts'oanang ts'ebetso ea tlhahlobo e tlalehile palo e kholo ea data, empa mehloli ena ea data ha ea fetoloa matlotlo a data bakeng sa matlafatso ea khoebo. Ka ho sebelisa theknoloji ea AI maemong a tlhahlobo ea mehala ea thekeng, khoebo e thehile koloi e bohlale ea tlhahlobo ea AI ea puso ea litoropo, e amohelang mahlale a kang Inthanete ea Lintho, khomphutha ea leru, li-algorithms tsa AI, 'me e jara lisebelisoa tsa profeshenale tse kang lik'hamera tse nang le tlhaloso e phahameng, lipontšo tse ka har'a boto, le li-server tse ka thoko tsa AI, 'me e kopanya mokhoa oa tlhahlobo oa "tsamaiso e bohlale + thuso ea mochini o bohlale + basebetsi". E khothalletsa phetoho ea puso ea litoropo ho tloha ho bohlale bo sebelisang basebetsi ho ea ho bohlale ba mechini, ho tloha kahlolong ea boiphihlelo ho ea tlhahlobong ea data, le ho tloha karabelong e sa sebetseng ho ea ho sibollo e sebetsang.
Lefapheng la sebaka sa kaho se bohlale
Litharollo tsa sebaka sa kaho se bohlale se thehiloeng ho komporo ea Edge li sebelisa kopanyo e tebileng ea theknoloji ea AI mosebetsing oa setso oa ho lekola polokeho ea indasteri ea kaho, ka ho beha seteishene sa tlhahlobo ea AI se ka thoko sebakeng sa kaho, ho phethela lipatlisiso tse ikemetseng le nts'etsopele ea li-algorithms tsa AI tse bonahalang tse thehiloeng theknolojing e bohlale ea tlhahlobo ea video, ho lemoha liketsahalo tse lokelang ho bonoa ka nako e tletseng (mohlala, ho lemoha hore na u roale helmete kapa che), ho fana ka basebetsi, tikoloho, ts'ireletso le lits'ebeletso tse ling tsa ho tsebahatsa likotsi tsa ts'ireletso le khopotso ea alamo, le ho nka bohato ba ho tsebahatsa mabaka a sa sireletsehang, ho lebela ka bohlale ha AI, ho boloka litšenyehelo tsa basebetsi, ho fihlela litlhoko tsa taolo ea polokeho ea basebetsi le thepa ea libaka tsa kaho.
Lefapheng la lipalangoang tse bohlale
Meralo ea mahlakore a maru e se e le mokhoa oa motheo oa ho kenya lits'ebetso indastering ea lipalangoang e bohlale, ka lehlakore la maru le ikarabellang bakeng sa tsamaiso e bohareng le karolo ea ts'ebetso ea data, lehlakore la mahlakore le fana haholo-holo ka tlhahlobo ea data ea lehlakore le ka thoko le ts'ebetso ea ho etsa liqeto tsa lipalo, 'me lehlakore la ho qetela le ikarabella haholo bakeng sa pokello ea data ea khoebo.
Maemong a itseng a kang ho hokahanya likoloi le litsela, likhokahano tsa holographic, ho khanna ka boiketsetso le sephethephethe sa terene, ho na le palo e kholo ea lisebelisoa tse fapaneng tse fihlellehang, 'me lisebelisoa tsena li hloka taolo ea phihlello, taolo ea ho tsoa, ts'ebetso ea alamo, le ts'ebetso ea ts'ebetso le tlhokomelo. Khomphutha ea Edge e ka arola le ho hapa, ea fetoha e kholo hore e be e nyane, ea fana ka mesebetsi ea phetoho ea protocol ea lera le fapaneng, ea fihlella phihlello e kopaneng le e tsitsitseng, esita le taolo e kopanetsoeng ea data e fapaneng.
Lefapheng la tlhahiso ea indasteri
Boemo ba Ntlafatso ea Ts'ebetso ea Tlhahiso: Hona joale, palo e kholo ea litsamaiso tsa tlhahiso tse arohaneng e lekanyelitsoe ke ho se phethoe ha data, 'me katleho ea lisebelisoa ka kakaretso le lipalo tse ling tsa data ea index li batla li sa tsitsa, e leng se etsang hore ho be thata ho li sebelisa bakeng sa ntlafatso ea katleho. Sethala sa komporo ea Edge se thehiloeng mohlaleng oa tlhahisoleseling ea lisebelisoa ho fihlela sistimi ea tlhahiso ea boemo ba semantic puisano e otlolohileng le puisano e otlolohileng, e thehiloeng mokhoa oa ts'ebetso ea phallo ea data ea nako ea sebele ho kopanya le ho sekaseka palo e kholo ea data ea nako ea sebele ea tšimo, ho fihlela motsoako oa tlhaiso-leseling ea mohloli oa data o thehiloeng mohlaleng oa tlhahiso o thehiloeng mohlaleng oa mohlala, ho fana ka tšehetso e matla ea data bakeng sa ho etsa liqeto tsamaisong ea tlhahiso e arohaneng.
Tlhokomelo ea Lintho Tse Bolelang Pele Boemo: Tlhokomelo ea lisebelisoa tsa indasteri e arotsoe ka mefuta e meraro: tlhokomelo ea ho lokisa, tlhokomelo ea thibelo, le tlhokomelo ea ho bolela esale pele. Tlhokomelo ea tsosoloso ke ea tlhokomelo ea ex post facto, tlhokomelo ea thibelo, le tlhokomelo ea ho bolela esale pele ke ea tlhokomelo ea ex-ante, ea pele e ipapisitse le nako, ts'ebetso ea lisebelisoa, maemo a sebaka, le lintlha tse ling bakeng sa tlhokomelo ea kamehla ea lisebelisoa, ka tsela e batlang e ipapisitse le boiphihlelo ba motho, ea morao ka pokello ea data ea sensor, tlhokomelo ea nako ea sebele ea boemo ba ts'ebetso ea lisebelisoa, ho ipapisitsoe le mohlala oa indasteri oa tlhahlobo ea data, le ho bolela esale pele ka nepo hore na ho hloleha ho etsahala neng.
Boemo ba tlhahlobo ea boleng ba indasteri: tšimo ea tlhahlobo ea pono ea indasteri ke tlhahlobo ea pele ea othomathike ea othomathike ea setso (AOI) e thehoang tšimong ea tlhahlobo ea boleng, empa nts'etsopele ea AOI ho fihlela joale, maemong a mangata a ho lemoha liphoso le maemo a mang a rarahaneng, ka lebaka la liphoso tsa mefuta e fapaneng, ho ntšoa ha likarolo ha hoa fella, li-algorithms tse feto-fetohang li fokola katoloso, mohala oa tlhahiso o ntlafatsoa khafetsa, ho falla ha algorithm ha ho tenyetsehe, le mabaka a mang, sistimi ea setso ea AOI e bile thata ho fihlela nts'etsopele ea litlhoko tsa mohala oa tlhahiso. Ka hona, sethala sa algorithm sa tlhahlobo ea boleng ba indasteri sa AI se emeloang ke ho ithuta ho tebileng + ho ithuta sampole e nyane butle-butle se nkela morero oa tlhahlobo ea pono ea setso sebaka, 'me sethala sa tlhahlobo ea boleng ba indasteri sa AI se fetile mekhahlelong e 'meli ea li-algorithms tsa khale tsa ho ithuta mochini le li-algorithms tsa tlhahlobo ea ho ithuta ho tebileng.
Nako ea poso: Mphalane-08-2023