Using GPUs for Training Models in the Cloud
Graphics Processing Units (GPUs) can significantly accelerate the training process for many deep learning models. Training models for tasks like image classification, video analysis, and natural language processing involves compute-intensive matrix multiplication and other operations that can take advantage of a GPU’s massively parallel architecture….
Tokopedia’s journey to creating a Customer Data Platform (CDP) on Google Cloud Platform
Founded in 2009, Tokopedia is an ecommerce platform that enables millions of Indonesian to transact online. As the company grows, there is an urgent need to better understand customer’s behavior in order to improve the customer’s experience across the platform. Now, Tokopedia has more than…
Managing ML data sets with Vertex AI
Many enterprises want to use data to make meaningful predictions that can bolster their business or help them venture into new markets. This often requires using custom machine learning models—something not every business knows how to create or use. This is where Vertex AI can…
Use Deep Learning VM Images and Deep Learning Containers with Vertex AI
Deep Learning VM Overview Deep Learning VM Images is a set of virtual machine images optimized for data science and machine learning tasks. All images come with key ML frameworks and tools pre-installed. You can use them out of the box on instances with GPUs…
Introduction to Vertex AI
Vertex AI is Google Cloud’s end-to-end ML platform for data scientists and ML engineers to accelerate ML experimentation and deployment. The platform unifies Google Cloud’s existing ML offerings into a single environment for efficiently building and managing the lifecycle of ML projects. Vertex AI brings…
M&S: Calling on Google Cloud for personalized customer service that’s both digital and human
Marks & Spencer implements Google Cloud speech recognition to automate calls to stores, increase personalization, and better serve its customers through digitally enabled contact centers. Google Cloud results Improves efficiency by automating 13 in-store switchboards in the UK and Ireland and migrating stock availability calls…
Getting Started with GKE Image Streaming
Google Cloud excited to announce the general availability of a new feature in Google Kubernetes Engine (GKE): image streaming. This revolutionary GKE feature has the potential to drastically improve your application scale-up time, allowing you to respond to increased user demand more rapidly, and save money by…
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Company of Cloud Ace, Yoshidumi Holdings, and Marubeni Corporation Form a Capital and Business Alliance
On December 03rd, 2021, the parent company of Cloud Ace Inc., Yoshidumi Holdings Inc. (Head Office: Chiyoda City, Tokyo; President and CEO: Ayatoshi Yoshidumi; hereinafter referred to as “Cloud Ace”), entered into a capital and business alliance agreement with Marubeni Corporation (“Marubeni”) in order to…
Tokopedia: Scaling to accommodate major shopping events with Google Kubernetes Engine
Google Cloud results Enables Tokopedia Play to handle a 20x increase in traffic thanks to Google Cloud Supports growth by optimally scaling up to 30x with automated provisioning Reduces operating costs by 90% by migrating to Google Cloud How do you prepare for an epic…
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Recent Posts
- Introducing stronger default Org Policies for our customers
- How to set compliance controls for your Google Cloud Organization
- Expanding Sensitive Data Protection to make it easier to protect data in Cloud SQL
- How to choose a known, trusted supplier for open source software
- Why mainframe migration is more than technology transformation
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