Continuiamo il nostro viaggio itinerante 🚀 per il #Veneto a Treviso, in collaborazione con il #GDGTreviso, un evento alla scoperta del #GoogleCloud con #Python !

🗣 Gaspare Vitta presenta “From Chaos to Clarity: Mastering Production ML with Python and Google Cloud”

Info e prenotazioni 👇
https://www.meetup.com/pyvenice/events/311920824/
💾 NON mancate !

#PyVenice #2 @pythonitalia #Python #GoogleCloud

#AIGlossary

chip acelerador
#GoogleCloud

Es una categoría de componentes de hardware especializados diseñados para realizar cálculos clave necesarios para los algoritmos de aprendizaje profundo.

Son ideales para entrenar redes neuronales y realizar tareas similares que requieren un uso intensivo del procesamiento.

Estos son algunos ejemplos de chips aceleradores:
- Las unidades de procesamiento tensorial (TPUs)
- Las GPU de NVIDIA

https://developers.google.com/machine-learning/glossary?hl=es-419#accelerator-chip

"For our technical writing teams, the velocity of Google Cloud's development presents two core problems: how do we keep pace with documenting new features and capabilities, and how do we ensure the existing documentation remains accurate?

To accelerate the creation process, we have integrated Gemini directly into our writers' authoring environments. This acts as a productivity multiplier, streamlining common tasks like generating formatted tables from unstructured content, translating between markup languages, and applying complex style guides with a single click. More significantly, the adoption of AI solutions enables writers to focus their time on strategic documentation solutions and ensure high quality content.

Just as important as creation is validation. For years, automated regression testing has been a staple for catching bugs in code. We are now bringing that same discipline to documentation—a goal that was long considered a dream due to the ambiguity of natural language. For our quickstarts, we use Gemini to read the procedural steps and automatically generate web orchestration scripts (using frameworks like Playwright). These scripts then execute the steps in a real Google Cloud environment, automatically verifying that our documentation accurately reflects the product's behavior. We run over 100 of these tests daily, ensuring our quickstarts are continuously validated and that you can trust the steps you're following."

https://cloud.google.com/blog/topics/developers-practitioners/smarter-authoring-better-code-how-ai-is-reshaping-google-clouds-developer-experience

#TechnicalWriting #AI #GenerativeAI #GoogleCloud #SoftwareDocumentation #APIDocumentation

How Google Cloud Entertainment Biz Boss Is Explaining Fine-Tuning AI Models to Hollywood: ‘I’ve Heard People Use the Terms Incorrectly’
#Variety #News #BuzzHays #GoogleCloud #TheWizardOfOz

https://variety.com/2025/tv/news/google-cloud-entertainment-fine-tuning-ai-models-explained-1236569536/

We used state machines to orchestrate a complex #HPC workload in #Kubernetes, and performed a Usability study across #Azure, #GoogleCloud, and #AWS with over 28K CPU and 256 GPU that resulted in over 26K datasets!

https://dl.acm.org/doi/10.1145/3731599.3767583
https://dl.acm.org/doi/10.1145/3731599.3767353

To be presented at #SC25

Gemini API の File Search Tool を試してみる
https://qiita.com/y-mae/items/cc3246ec6bc5b1aa7de7?utm_campaign=popular_items&utm_medium=feed&utm_source=popular_items

#qiita #GoogleCloud #GeminiAPI

Google's new Ironwood TPU is about to roll out on Cloud, promising up to 2× performance for Gemini, Imagen, Veo and other AI workloads. Early users like Anthropic report big gains for Claude. If you’re building next‑gen models, this hardware could be a game‑changer. Read the full breakdown now. #IronwoodTPU #GoogleCloud #GeminiAI #AnthropicClaude

🔗 https://aidailypost.com/news/googles-ironwood-tpu-be-generally-available-cloud-weeks