Limitless Data. All Workloads. For Everyone
Today, data exists in many formats, is provided in real-time streams, and stretches across many different data centers and clouds, all over the world. From analytics, to data engineering, to AI/ML, to data-driven applications, the ways in which we leverage and share data continues to…
Cloud Ace in Japan, Indonesia, and Vietnam Renew “ISO/IEC27001” Certification; Cloud Ace in Thailand and Taiwan Expand Operations
Cloud Ace Inc. (Head Office: Chiyoda City, Tokyo, President and CEO: Makoto Aoki), its Indonesia subsidiary (Base: Jakarta, Indonesia, Representative: Febby Herbimo) and its Vietnam subsidiary (Base:Ho-chi-minh, Vietnam, Representative: Pham Van Tuyen) are pleased to announce that they have acquired the “ISO/IEC 27001 (ISO/IEC 27001:2013…
Extending Network Reachability of Vertex AI Pipelines
Vertex AI Pipelines and jobs use the Service Networking API to configure their networking. As such, they will run in a Google-owned VPC network in tenant project that is peered to the network in your project. This peering is subject to the following standard VPC Peering networking constraints;…
Think Serverless: Tips for Early-stage Startups
As Google Cloud has become a choice for more startups, I’ve experienced an increase in founders asking how they should think about cloud services. Though each startup is different and requirements may vary across industries and regions, I’ve seen a few core best practices that help startups…
Supercharge Your Event-driven Architecture with New Cloud Functions (2nd gen)
Today, Google introducing Cloud Functions (2nd gen) into public preview, Google Cloud’s next-generation Functions-as-a-Service product. This next generation version of Cloud Functions comes with an advanced feature set giving you more powerful infrastructure, advanced control over performance and scalability, more control around the functions runtime and triggers…
Orchestrating PyTorch ML Workflows on Vertex AI Pipelines
Previously in the PyTorch on Google Cloud series, Google trained, tuned and deployed a PyTorch text classification model using Training and Prediction services on Vertex AI. In this post, we will show how to automate and monitor a PyTorch based ML workflow by orchestrating the pipeline in a serverless manner…
Add Intelligence to Your Document Processing with Google’s Enterprise Knowledge Graph
Google Cloud introduced Document AI to automate document processing and to streamline workflows with state-of-the-art machine learning models. With the deep neural networks, the models generalize the learning from seeing hundreds of thousands variations of the documents. But when information is missing or ambiguous on a document…
Here’s What to Know About Changes to Kubectl Authentication Coming in GKE v1.25
Important changes to Kubectl authentication are coming in GKE v1.25 While Google created Kubernetes, the platform has become the de-facto standard for container orchestration thanks to a large open-source community. To ensure the separation between the open source version of Kubernetes and those versions that…
Introducing Compute Optimized VMs Powered by AMD EPYC Processors
Over the last six months, Google launched 3rd Gen AMD EPYC™ CPUs (formerly code-named “Milan”) across our Compute Engine virtual machine (VM) families. It introduced the Tau VM family, targeting scale-out workloads. Tau VMs are the leader both in terms of performance and workload total cost of ownership (TCO)…
Long-running Containers with Workflows and Compute Engine
Sometimes, you need to run a piece of code for hours, days, or even weeks. Cloud Functions and Cloud Run are my default choices to run code. However, they both have limitations on how long a function or container can run. This rules out the…
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- Faster food: How Gemini helps restaurants thrive through multimodal visual analysis
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Recent Posts
- Faster food: How Gemini helps restaurants thrive through multimodal visual analysis
- Unlock multimodal search at scale: Combine text & image power with Vertex AI
- 4 ways Gemini for Workspace can help sellers and marketers spend more time doing what they do best
- Find sensitive data faster (but safely) with Google Distributed Cloud’s gen AI search solution
- Updated smart feature settings give users increased choice and control
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