Avtor Uredništvo | Foto: stock.adobe.com 12:55 pop INDUSTRIJA, Revija

Z novim superračunalnikom do večje konkurenčnosti in boljših storitev

Na Ministrstvu za digitalno preobrazbo (MDP) načrtujejo vzpostavitev superračunalnika, ki bo predstavljal motor digitalnega razvoja v državi.

Eden od trenutno najbolj aktualnih projektov, ki se izvajajo v pristojnosti MDP, je zagotovo nov superračunalnik (HPC), posebej optimiziran za umetno inteligenco, ki bo ključen infrastrukturni element za tovarno umetne inteligence pod imenom SLAIF (Slovenian AI Factory).

Kdaj lahko pričakujemo nov superračunalnik?

  • namestitev superračunalnika: 3. četrtletje 2026
  • začetek delovanja: 1. četrtletje 2027

Tehnološka spodbuda slovenskemu gospodarstvu in družbi

Kot pojasnjujejo na ministrstvu, bo SLAIF odgovarjal na izrazite potrebe slovenskega gospodarstva in družbe po dostopnih, zmogljivih in uporabniku prijaznih rešitvah na področju umetne inteligence (UI). Podjetjem in javnim institucijam naj bi omogočil lažji dostop do tehnologij UI, s čimer bodo lahko povečali tako konkurenčnost kot kakovost storitev.

Dežela termalnih vrelcev in edinstvene kulinarike
Severovzhodna Slovenija pester nabor doživetij za obiskovalce. Narava regije – reke, ravnice in griči – pa ponuja številne možnosti za aktivno preživljanje časa: pohodništvo, kolesarjenje, ribolov in opazovanje narave.
Preberite več

Katere bodo ključne storitve SLAIF?

  • izobraževanja s področij umetne inteligence in superračunalništva
  • svetovanje in tehnična podpora pri uporabi že razvitih rešitev ter razvoju lastnih modelov UI
  • dostop do podatkovnih virov in orodij, vključno z odprtimi nabori podatkov
  • uporabniku prijazna programska okolja za razvoj in testiranje rešitev
  • platforma »vse na enem mestu«, ki bo povezovala superračunalniške vire, orodja UI in strokovno znanje v centralizirano dostopno točko

Vezni člen med laboratoriji in prakso

Kot so še dodali na MDP, naj bi SLAIF deloval kot most med raziskavami in industrijo. Njegov cilj je pospešiti prenos znanja v prakso ter omogočiti dostop do infrastrukture za učenje obsežnih modelov UI, sklepanje v realnem času in podporo znanstvenim raziskavam, ki temeljijo na umetni inteligenci.

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