We’ve already seen the company’s most recent product launches, which center on cloud news, development, security, and generative artificial intelligence (AI). Google Cloud Next 2024 is off to a great start.
Since we at Plain Concepts didn’t want to miss anything, we flew to Las Vegas to keep an eye on all of the announcements made during the event. This is a synopsis of the main points!
Recap of Google Cloud Next 2024
After the first in-person event since 2019—Google Cloud Next—which was held in San Francisco barely eight months ago, the company has made an effort to keep innovating in both workspace and products. They have launched new next-generation models, extended their planetary infrastructure to 40 regions, and, with the launch of Gemini, changed the course of generative AI.
The following were the key inventions that were revealed at the 2024 event.
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What’s new in the architecture of AI hypercomputers
An announcement was made on significant advancements at every level of the AI hypercomputer architecture. Thanks to the total system operating with increased performance and efficiency, this systems-level approach combines performance-optimized hardware, open frameworks and software, and flexible consumption patterns to enable developers and companies to be more productive:
Performance-optimized hardware improvements with improved networking capabilities and higher performance for large-scale training, such as the general availability of Cloud TPU v5p and A3 Mega VM with NVIDIA H100 Tensor Core GPU technology.
AI workloads can benefit from storage portfolio innovations such as Hyperdisk ML, a new block storage service designed specifically for AI inference and service workloads, and new caching features in Cloud Storage FUSE and Parallelstore that reduce latency and increase training and inference performance.
Open software advances include the release of JetStream, an inference engine designed for performance and memory on large language models (LLMs) that offers better performance per dollar on open models like Gemma 7B and JAX, as well as PyTorch/XLA versions that enhance performance on both. NVIDIA GPU and cloud TPU.
Dynamic Workload Scheduler offers new flexible power options including calendar mode for assured start time and flexible start mode for best economics.
Gemini 1.5 Pro
Vertex AI is now offering consumers access to the world’s first contextual window with one million tokens in preview form. This innovation allows multi-modal reasoning on massively parallel request-specific data natively.
It can also process speech and video audio streams, as well as the audio component of videos. This makes it possible to conduct smooth cross-modal analysis that offers data on text, photos, videos, and audio. For example, you may use the model to search, evaluate, and respond to questions during investor meetings or earnings calls.
Picture 2.0
When it comes to producing precise and high-quality photos on an enterprise level, this technology is quickly emerging as a valuable ally for numerous enterprises.
Imagen’s text-to-image conversion capabilities are now being previewed, which increases its power for enterprise applications. This enables marketing and creative teams to create animated visuals from text messages, including GIFs and other formats.
It may produce a range of camera movements and viewpoints while maintaining continuity throughout the scene. Additionally, sophisticated photo editing elements like internal and exterior painting are being added to the image production capability.
Builder for Vertex AI Agents
They announced Vertex AI Agent Builder, which combines Vertex AI Search and Conversation solutions with an improved set of developer tools, to assist customers tackle the most frequent challenges when implementing generative AI and to speed up the creation of intelligent agents.
With a variety of tools for varying developer needs and skill levels, including open-source frameworks like LlangChain in Vertex AI and a codeless console for constructing AI agents using natural language, it makes it simple to create and implement enterprise-generation AI experiences.
Additionally, it simplifies the process of integrating the outcomes of generative AI with enterprise data. In addition, leveraging natural language, production-level AI bots are being developed.
Gemini fueling Google Cloud
A new generation of AI assistants for Google Cloud developers, services, and apps is called Gemini for Google Cloud. In addition to addressing security issues, it helps users work and code more efficiently and obtain deeper insights into data.
Additionally, it provides enterprise-ready AI features with strong privacy, security, and compliance controls.
Cloud teams can develop, run, and optimize the application lifecycle with the aid of Gemini Cloud Assist. It can expedite difficult jobs and boost output, allowing users to maintain their attention on the business.
It provides features like:
- design with goals in mind.
- supervised use and troubleshooting.
- personalized adjustments.
Security-minded Gemini
In order to improve security teams’ abilities and increase their output and make it easier for them to identify, look into, and address problems, Gemini in Security Operations is being added to Chronicle.
A new assisted investigation tool will be added, which translates natural language into new detections, summarizes event data, suggests actions, and uses conversational chat to lead users through the platform.
In order to achieve this, they are also launching fresh AI features:
In threat intelligence, Gemini gives users instant access to front-line threat intelligence via conversational search, allowing them to quickly understand the actions of threat actors.
In the Security Command Center, Gemini summarizes important and high-priority alerts for configuration errors and vulnerabilities. It also offers suggestions on how to fix any flaws in simulated attack vectors, thereby reducing risk in advance.
Gemini Code Support
Using the most recent Gemini models, this is the development of Duet AI for developers. It provides developers with AI-powered support to enable them to create applications more quickly and efficiently in well-known code editors like VS Code and JetBrains.
With this enterprise coding assistance solution, private codebases can be hosted locally, on several repositories, in GitLab, GitHub, Bitbucket, or another site. It helps businesses to scale up AI support while adhering to security, privacy, and compliance regulations.
Complete code base awareness, code customization, integration services, ecosystem improvements, and other features are among the newly added features.
BigQuery’s Gemini
For data engineers and analysts, it’s a game-changer, enabling them to increase productivity, enhance query performance, and save expenses across the whole analytics lifecycle, from building ingest and pipelines to obtaining insightful knowledge through AI-powered capabilities.
A new data canvas called Gemini in BigQuery offers a notebook-like experience along with integrated visualizations and support for natural language.
It also comes with low-code visual data pipeline creation and AI-augmented data preparation, which aids users in managing and cleaning data. Semantic search, low-code visual data pipeline building tools, and intelligent recommendations to enhance query performance, reduce errors, and optimize expenses are also provided.
Looker’s Gemini
It gives people fresh opportunities to communicate and engage with our business data. They are now introducing a new conversational analytics product that has multi-turn capabilities so users can interact with business experts and ask questions about our data.
It provides insights in a matter of seconds, speeding up the process of producing clear reports and visualizations, connecting them to Workspace, and sharing them with the team without the need for code.
Gemini in Records
It provides AI-powered support to streamline the database journey and enable teams to concentrate on what really matters.
With the use of natural language, you can now create applications more quickly, manage, optimize, and control a fleet of databases from a single dashboard, and speed up database migrations.
Additionally, it provides Database Studio with SQL creation and summarization capabilities, which expedites the coding process in accordance with best practices. Additionally, you can communicate using the chat interface to seek assistance as needed and to clarify problems.
Axion Processors by Google
These are the first bespoke CPUs from Google, built for the data center and based on Arm®. Axion will be available later this year and offers performance and power economy.
They deliver instances with up to 30% better performance than the fastest general-purpose Arm-based instances available in the cloud, up to 50% better performance, and up to 60% better energy efficiency than comparable current-generation x86-based instances by fusing Google’s silicon expertise with Arm’s highest-performing CPU cores.
For general-purpose workloads including media processing, CPU-based, open-source databases, in-memory caches, web and application servers, containerized microservices, and in-memory caches, they provide enormous performance increases.
Google Desk
To assist teams make the most of the resources they depend on on a daily basis, they wanted to take it a step further:
Google Videos
using the help of AI, you may make films for work using the newest app in the suite. You can choose a style, make an editable storyboard, and start with a first draft that includes suggested scenarios from stock photos, videos, and background music.
It offers a straightforward and user-friendly interface, secure browser collaboration, and project sharing capabilities.
Get together
It’s now possible to choose a preferred language and enable translated subtitles during video conferences, which facilitates global communication.
It will recognize and translate subtitles automatically into 69 supported languages when it becomes available in June.
AI Protection
IT staff can now automatically recognize, categorize, and safeguard critical data throughout the company thanks to this add-on.
It makes use of AI models that preserve privacy and can be taught with data specific to each company. This allows for ongoing evaluation, categorization, and security of both new and old files stored in Drive.
Updates to Sheets and Documents
Table Sheets now have a new function that forms and arranges data in an updated, slick layout. You may choose from a variety of templates, including project management, inventory management, and event planning, so you never have to start from blank when creating a spreadsheet.
A new tabbed experience in Docs is also introduced, which facilitates the organization of relevant content into a single document.
Gmail
Gmail now has new capabilities that allow you to compose messages by using voice prompts. With only one click, Gemini may also assist in converting notes into a more comprehensive email draft.