WARPTECHNEWS · LAB
HomeAIBusinessTechArchive
WARPTECH LAB NEWS

Warptech Lab News aggrega le notizie più rilevanti da oltre 700 fonti internazionali, con classificazione AI, TL;DR sintetici e timeline cluster su singole storie.

Navigazione

  • Home
  • Archivio
  • Editor's Brief
  • Cerca
  • Il tuo account
  • Newsletter tech/AI

Informazioni legali

  • Privacy Policy
  • Termini di servizio
  • Cookie Policy

© 2026 Sparktech S.R.L. — Tutti i diritti riservati. Sito gestito e manutenuto da Sparktech S.R.L.

Sede legale: Corso Libertà 55, 13100 Vercelli (VC), Italia · P.IVA / C.F. 02835910023 · Contatti: admin@warptechlab.com

Home
Storia in 2 fonti

Huawei chips refine DeepSeek model in leap for China’s AI self-reliance

While Chinese chipmakers have found success in supporting AI inference, they are struggling with the far more complex process of training.

Raccontata dascmp.comtomshardware.com

Confronto fonti

2 prospettive sulla stessa storia
AI · summaries
tomshardware.com23 g fa

Huawei-led team claims it post-trained DeepSeek's 1.6-trillion-parameter model — 1,000 Ascend 910C chips used…

The Shenzhen government says a 1,000-chip Ascend cluster handled full-parameter post-training.

Leggi questa versione → originale
scmp.com26 g fa

Hong Kong unveils HKGAI-V3 model built on domestic tech and DeepSeek V4

HKGAI launches V3, a DeepSeek-based model on domestic chips with 10x token-compression and 100x agent runtime (28 hours). China is commercializing sovereign AI with improved efficiency and agentic capabilities—signals reshaping stack and compliance decisions vs. OpenAI.

Leggi questa versione → originale

Timeline cronologica

  1. mercoledì 3 giugno 2026·scmp.com

    Hong Kong unveils HKGAI-V3 model built on domestic tech and DeepSeek V4

    Agent Workshop operated stably for up to 28 hours without interruption in a single session to produce a research report.

  2. venerdì 5 giugno 2026·scmp.com

    Huawei chips refine DeepSeek model in leap for China’s AI self-reliance

    While Chinese chipmakers have found success in supporting AI inference, they are struggling with the far more complex process of training.

  • sabato 6 giugno 2026·tomshardware.com

    Huawei-led team claims it post-trained DeepSeek's 1.6-trillion-parameter model — 1,000 Ascend 910C chips used in training

    The Shenzhen government says a 1,000-chip Ascend cluster handled full-parameter post-training.