Google Cloud 整合 Nvidia Blackwell 平台以增強人工智慧和運算能力

Nvidia Blackwell platform was intended to integrate its advanced future into the Google Computer System Platform, which Google has promised. Initially anticipated for the beginning of 2025, the platform comes with the ultrafast Nvidia HGX B200, which is developed for AI and high-performance computing (HPC) domains as well as the NBL72 GB200 created for the training of large language models (LLMs). Of all the improvements Google will be introducing the first one is liquid cooling to increase the performance and efficiency. This is the first time liquid cooling will be implemented in Google’s cloud infrastructure.

Nvidia Blackwell 平台旨在將其先進的未來整合到Google電腦系統平台中，這是Google所承諾的。該平台最初預計在 2025 年初推出，配備了專為人工智慧和高效能運算 (HPC) 領域開發的超快 Nvidia HGX B200，以及為訓練大型語言模型 (LLM) 而創建的 NBL72 GB200。在Google將推出的所有改進中，第一項是液體冷卻，以提高性能和效率。這是谷歌雲端基礎設施首次採用液體冷卻。

Expansion of AI accelerators and computing services

Google introduced new instance types and various accelerators to fulfill every customer’s needs. One of the innovations that Google Cloud has introduced is the custom-made AI processor chip, called the Arm-based Axion, in addition to a wide range of AI accelerators and even from Nvidia that will ultimately create an array in terms of Google’s offerings. Along with the new A3 Mega instance, which is set to be jointly developed with Nvidia, there were other new announcements. 

人工智慧加速器和計算服務的擴展谷歌推出了新的實例類型和各種加速器來滿足每個客戶的需求。谷歌雲端推出的創新之一是客製化的人工智慧處理器晶片，稱為基於 Arm 的 Axion，此外還有各種人工智慧加速器，甚至來自 Nvidia 的加速器，最終將根據Google的產品創建一個陣列。除了與 Nvidia 共同開發的新 A3 Mega 實例外，還有其他新公告。

This particular solution is designed with the H100 GPUs which are used in industry-standard nets and a new networking system that can double the bandwidth per each GPU. This is an excellent feature for the developers since it now has the necessary power for training deep LLMs at a high-efficiency rate. 

此特殊解決方案採用業界標準網路中使用的 H100 GPU 和新的網路系統設計，可將每個 GPU 的頻寬加倍。這對於開發人員來說是一個出色的功能，因為它現在擁有以高效率培訓深度法學碩士的必要能力。

Google also launched its A3 confidential instance, which is designed to be resilient to data breaches and maintain the confidentiality and integrity of sensitive data and AI workloads by encrypting data end-to-end during its transfer and movement between Intel’s CPU and the Nvidia H100 GPU without any need for code changes.

谷歌還推出了A3 機密實例，該實例旨在抵禦資料洩露，並透過在英特爾CPU 和Nvidia H100 GPU 之間傳輸和移動期間對資料進行端到端加密來維護敏感資料和人工智慧工作負載的機密性和完整性無需更改任何程式碼。

Advancements in Google’s own AI accelerators

Google Humanizes: Google is still not afraid to push technical boundaries with its onsite AI supercomputers, Cloud TPU v5 processors are now pasteurized for long-time use by everyone. The processors, which Google claimed are the most advanced AI accelerator they ever had, will be 2x faster in FLOPS than the previously observed and amazing 3x memory bandwidth speed increase. 

谷歌自己的人工智慧加速器的進步Google Humanizes：谷歌仍然不害怕透過其現場人工智慧超級電腦突破技術界限，Cloud TPU v5處理器現在經過巴氏滅菌，可供每個人長期使用。谷歌聲稱這些處理器是他們有史以來最先進的人工智慧加速器，其浮點運算速度將比之前觀察到的驚人的 3 倍記憶體頻寬速度提高 2 倍。

Google came up with AI-optimized storage options like Hyper disk (In preview). This next-generation block storage service offers a way to drastically reduce model loading time (up to 3.7 times according to Google), Google Artisan declares. While the widespread utilization of AI and machine learning remains its core asset, Google Cloud is also increasingly venturing into general infrastructure categories. 

谷歌提出了人工智慧優化的儲存選項，例如超級磁碟（預覽版）。 Google Artisan 聲稱，這種新一代區塊儲存服務提供了一種大幅縮短模型載入時間的方法（根據 Google 的說法最多可縮短 3.7 倍）。雖然人工智慧和機器學習的廣泛使用仍然是其核心資產，但Google雲端也越來越多地涉足通用基礎設施類別。

The vendor deployed new themes referencing Intel’s fourth- and fifth-generation Xeon CPUs. There is a new general-purpose Z4, Z5, N4, and C4 instances, which will have the fifth-generation Emerald Rapids Xeons. The Z4 is performance-oriented, while N4 offers the best cost-effective solution. Today demonstration version of the C4 instances is in private mode, but N4 will be available for use to all at the current moment.

該供應商部署了引用英特爾第四代和第五代 Xeon CPU 的新主題。新的通用 Z4、Z5、N4 和 C4 實例將配備第五代 Emerald Rapids Xeon。 Z4以性能為導向，而N4則提供最佳性價比的解決方案。今天，C4 實例的演示版本處於私有模式，但 N4 目前可供所有人使用。

Expanding Google cloud services

Google demoed new C3 physical instances, running on the older Intel Xeon processors of the 4th generation, and X4 memory-optimized physical instances, broadening the service options of Google’s infrastructure. The Z-series introduces the Z3 to Google Cloud’s market, being all storage-optimized virtual machines, which lead their class regarding IOPS with no other major cloud service provider.

擴展谷歌雲端服務谷歌示範了新的C3實體實例，運行在舊的第四代英特爾至強處理器上，以及X4記憶體優化實體實例，擴大了Google基礎設施的服務選項。 Z 系列將 Z3 引入 Google Cloud 市場，它是所有儲存優化的虛擬機，在 IOPS 方面領先同類產品，沒有其他主要雲端服務供應商。

The announcements made by Google Cloud at the Las Vegas event consolidate the company’s position in the industry. These announcements prove that the industry leader in cloud computing is still going strong and will stay there for good. In 2025, Nvidia will incorporate its Blackwell platform, with processing units, storage solutions and AI accelerators being already active. This puts Google Cloud at the forefront of cloud computing space. 

谷歌雲在拉斯維加斯活動上發布的公告鞏固了該公司在行業中的地位。這些公告證明雲端運算領域的行業領導者仍然強勁並將永遠保持下去。 2025 年，Nvidia 將整合其 Blackwell 平台，其中處理單元、儲存解決方案和 AI 加速器已經投入使用。這使得谷歌雲端處於雲端運算領域的前沿。

The transformations not only ideally improve and enlarge Google’s cloud computing sphere, but also serve developers and businesses, as sources for infinite AI/ML, as well as general processing computations. However, with Google Cloud chasing this dynamic cloud computing ecosystem and maintaining its ingenuity, the company’s strategies and inventions represent its strong intention to a more effective, powerful, and diverse computing system in the future.

這些轉變不僅理想地改善和擴大了Google的雲端運算領域，而且還為開發人員和企業提供服務，作為無限人工智慧/機器學習以及通用處理運算的來源。然而，隨著Google雲端追逐這個充滿活力的雲端運算生態系統並保持其獨創性，該公司的策略和發明代表了其對未來更有效、更強大、更多樣化的運算系統的強烈意圖。

Original Story From techcrunch

來自 techcrunch 的原創故事