技嘉科技於 CloudFest 2026 展示最新 AI 技術

GIGABYTE Showcases New AI Tech at CloudFest 2026

在德國ㄌㄨˇㄙㄜˋ舉行的 CloudFest 2026 大會上,ㄐㄧˋㄐㄧㄚㄐㄧˋ展示了其最新的「AI Forward」願景,重點介紹了專為現代時代設計的端到端全面基礎架構組合。

At CloudFest 2026, held in Rust, Germany, GIGABYTE showcased its latest "AI Forward" vision, highlighting a comprehensive end-to-end infrastructure portfolio designed for the modern era.

location德國
location魯斯特
eventCloudFest 2026
org技嘉科技

透過其子公司ㄐㄧˋㄍㄤㄐㄧˋ,該公司推出了從精巧ㄅㄧㄢㄩㄢˊ設備到大型機架規模「AI 工廠」的各種硬體設備。

Through its subsidiary, Giga Computing, the company introduced hardware ranging from compact edge devices to massive rack-scale "AI factories."

org技鋼科技

其中一大亮點是 AI TOP ATOM,這是一台由 NVIDIA GB10 ㄐㄧㄥㄆㄧㄢˋㄑㄩㄉㄨㄥˋ的精巧超級電腦,能夠在本地處理 2,000 億參數模型。

A standout was the AI TOP ATOM, a compact supercomputer powered by the NVIDIA GB10 chip, capable of handling 200 billion parameter models locally.

techAI TOP ATOM
orgNVIDIA

對於需要在桌面上使用資料中心效能的專業人士,ㄕㄨㄟˇㄌㄥˇㄕˋ W775-V10 AI 工作站利用 GB300 ㄐㄧㄥㄆㄧㄢˋ來管理高達 1 兆參數的模型。

For professionals needing datacenter power on their desks, the liquid-cooled W775-V10 AI Workstation utilizes the GB300 chip to manage models with up to one trillion parameters.

techGB300

此外,ㄐㄧˋㄐㄧㄚㄈㄚㄅㄨˋ了 GB300 NVL72 平台,這是一個整合了 72 個 GPU,用於超大規模訓練的高效能系統。

Furthermore, GIGABYTE unveiled the GB300 NVL72 platform, a high-performance system integrating 72 GPUs for hyperscale training.

techGB300
techGPU

透過優先考慮先進的熱管理和 GPU 加速,ㄐㄧˋㄐㄧㄚ旨在協助企業將原始數據轉化為可執行的智慧。

By prioritizing advanced thermal management and GPU acceleration, GIGABYTE aims to help enterprises convert raw data into actionable intelligence.

techGPU

這些建立在 NVIDIA 和 AMD 架構之上的創新,代表了在支援雲端服務供應商和企業建立高效、可擴展且自主的 AI 驅動營運之旅中邁出了重要的一步。

These innovations, built on NVIDIA and AMD architectures, represent a significant step in supporting cloud service providers and businesses in their journey to build efficient, scalable, and autonomous AI-driven operations.

orgNVIDIA
orgAMD
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CloudFest 2026 在哪裡舉行?

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德國魯斯特

哪一款ㄐㄧㄥㄆㄧㄢˋㄑㄩㄉㄨㄥˋ了 AI TOP ATOM 精巧超級電腦?

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NVIDIA GB10

GB300 NVL72 平台的主要優勢是什麼?

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超大規模 AI 訓練與推論

ㄐㄧˋㄐㄧㄚ「AI Forward」願景的主要目標是什麼?

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將工作負載轉移到邊緣端

GB300 NVL72 平台整合了多少個 GPU?

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72

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