Amazon opens TorchNeuron: native PyTorch on its Trainium AI chips

PyTorch est l’outil le plus utilisé pour créer des modèles d’IA.

Être in the present is est for a singular subject and sont for a plural one. It describes nature, state or place (“is”, “is located”). If what follows (the attribute) is a noun, adjective or prepositional phrase, it is not a passive. If a past participle follows, it is a passive (est annoncé). Headlines and summaries often use the present to describe the current situation.

AWS a publié le 20 octobre TorchNeuron, un backend PyTorch natif pour ses puces d’IA Trainium.

The passé composé is the most common past tense, used for “did” and “has done” — actions completed in the past. It is formed with the auxiliary avoir (a / ont…) in the present + a past participle. Past participles of -er verbs end in -é (annoncer → annoncé); learn the irregular ones (faire → fait, prendre → pris, voir → vu). In the negative, ne … pas wraps the auxiliary (n’a pas annoncé). In the news it reports facts that have already happened, such as “announced” or “voted”.

Jusqu’ici, Trainium demandait une configuration spécifique.

The imparfait describes states, background, habits and actions in progress in the past (il était, elle avait, ils pensaient). Take the nous form of the present, drop -ons, and add -ais / -ais / -ait / -ions / -iez / -aient. If the passé composé gives “the event itself”, the imparfait paints “the situation at the time”.

Trainium2 et Trainium3 sont pris en charge.

The passive means “is done” or “is being done”. It is formed with être + past participle, which agrees with the subject in gender and number (la mesure est adoptée / les mesures sont adoptées). The agent is introduced by par (or de). In the news it is common when the event, rather than the actor, is the focus (est prévu / est annoncé / est connu).

Certaines fonctions ne sont pas prises en charge dans la première version (tenseurs creux, formes dynamiques…).

Normally ne and pas wrap the verb. Before a vowel, ne becomes n’. Check which part of the sentence the negation covers. Ne … plus means “no longer”.

Pour aller plus loin, les développeurs peuvent écrire leurs propres noyaux avec NKI.

Put a base-form verb after pouvoir. Peut means “can” or “may”; the conditional pourrait gives a more reserved possibility, “might”. It does not necessarily mean implementation is settled.

PyTorch est l’outil le plus utilisé pour créer des modèles d’IA.

This is the purpose, “in order to…”. Put the base form of a verb after pour. The purpose stated here is separate from whether the effect was actually achieved.

Disponible en bêta publique dès le 20 octobre, en open source (Apache 2.0) : ce qui change.

Qui continues a description of the person or thing just mentioned (“the one that does…”). Because qui is itself the subject of the next verb, do not repeat the subject. The verb agrees with the noun qui refers to.

性能の数字は、顧客であるDeepgramの発言で、第三者の検証ではありません。

They negate a noun and similar content. “ではありません” is the polite form and “ではない” the plain form. “成立ではありません” shows that it cannot be said to have been concluded.

PyTorchは、AIのモデルを作るために、広く使われているツールです。

ため is used for both reason and purpose. “成立ではないため” is a reason and “運転手を守るため” a purpose. Decide from the whole sentence whether what precedes is a cause or a goal.

Hugging Faceの、TransformersやDiffusersなどのライブラリも、そのまま動きます。

“暴言など” gives “abusive language” as one example. It is not necessarily a closed list of only the things named. It also helps when reading the scope of a news story.

アマゾンのAWSは、自社のAIチップ「Trainium」で、PyTorchのプログラムをそのまま動かせる仕組み「TorchNeuron」を、20日に公開しました。

In “発表しました”, ました makes a verb polite past. The negative is “ませんでした”. Read the actual date together with the date and time in the text.

特別な高速化には、「NKI」という仕組みで、自分のプログラムを書くこともできます。

できる is the basic verb for ability. The potential form of 受ける is 受けられる. The same られる can also be passive or honorific, so decide from the meaning of the sentence.

PyTorchが用意している、新しいチップを登録するための仕組みを使うので、PyTorchの標準の機能が、そのまま使えます。

The て-form links actions in a series, in order or as a reason. In “確認して、出発する” the relation is judged from the content. In “〜ている” it can show an action in progress or a continuing state.