---
title: Data Visualization using GPU on Google Cloud
description: Data visualization with Graphical Processing Unit Techniques and Architecture on Google Cloud and Deep learning Engine, Luma gl and Decker gl
image: https://www.xenonstack.com/hubfs/Imported_Blog_Media/xenonstack-data-visualization-gpu-google-cloud-3-1-1.png
---

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# Data Visualization using GPU on Google Cloud

[Navdeep Singh Gill](https://www.xenonstack.com/blog/author/navdeep-singh-gill) | 14 March 2022

## What is Graphics Processing Unit (GPU)?

 GPU is a computer chip that performs rapid mathematical calculations for rendering images. All thread processors of GPU perform the same instructions, as they share the same control unit. This means that GPUs can perform the same instruction on each pixel of an image in parallel.

## Why Graphics Processing Unit (GPU) is important?

 The Biggest challenge of handling billions of data points on a map, analyze and interpret this information is important. For visual analytics(where data is coming from physical world maps, 3D physical structures, etc), for real-time mapping visualizations, in-browser, data-dense visualizations and for rendering large datasets we need GPU’s.

- GPUs designed for quick image rendering, processing and graphics.
- They are 50–100 times faster in tasks that require multiple parallel

Processes, such as machine learning and big data analysis. GPUs parallel architecture aimed at handling multiple functions at the same time. Example : multiply two matrices together in the browser , we can do all this math at once with GPU, but in CPU case where we have to iterate through every cell in every column and every row, we can do every single at once in GPU.As a result CPU will take 170,000 milliseconds and GPU will take only 542 millisconds. GPUs are also used when many calculations are needed on a single task.

### UseCases of GPU

- Games
- 3D Visualization
- Image Processing
- Big Data
- Deep Machine Learning

## What is WebGL?

 WebGL is a javascript API, based upon OpenGL render content on HTML canvas. It is used for rendering 3D graphics on the web, draw points, lines, and triangles.WebGL runs on GPU on a computer. WebGL programs run both vertex shader and fragment shader code that is executed on GPU ’s, enabling CPU to do other things. WebGL + GPU WebGL allows to run GPU code from within the browser, write javascript that runs in the browser and then call out through WebGL to the OS which will run graphics code directly on GPU which will then paint a picture back on to HTML5 canvas in the browser.

## What is luma.gl?

 Luma.gl is an open-source, javascript and lightweight WebGL framework. For example

### Instancing with Luma.gl

 A luma.gl cube, rendering 65,536 instances in a single GPU draw call using instanced vertex attributes.

### What is the importance of luma.gl?

The importance of luma.gl is listed below:

#### WebGL2 API Support

 luma.gl allows applications to use the WebGL2 APIs (and write shaders in the new GLSL 3.00 ES syntax).

#### Advanced GPU Usage

 luma.gl simplifies the use of advanced GPU techniques, such as Instanced Rendering, Transform Feedback, and WebGL2 features.

#### Shader Programming

 Modularized shader code, classes for controlling GPU inputs and outputs, and support for GLSL shaders(vertex shaders and fragment shaders).

#### Performance Focus

 Enabling GPGPU (General Purpose GPU) programming means the use of the GPU for computations in addition to rendering.

## Usage of luma.gl

 luma.gl is mainly used if we want to with any of the WebGL-based frameworks in the vis.gl suite (deck.gl, react-map.gl and kepler.gl)

## Implementing Luma.gl with deck.gl

 Luma.gl provides high-performance WebGL2(runs on GPU) rendering capability for deck.gl - a 3D visualization framework for large-scale data. deck.gl is open source, pure javascript API, WebGL powered data visualization library.

- It provides easy to use WebGL2-based open-source building blocks, enables efficient rendering of large datasets, enables high-performance GPU-based data visualization and computation in your browser.
- An Es6 codebase using classes to wrap main WebGL1 and WebGL2 entities.

## What is the architecture of deck.gl?

The architecture of deck.gl is described below:

### Render data using deck.gl

 We have react component and some data that we want to visualize , this gets passed into the deck.gl , if we want to render this with map than use react map GL.Render data on top of the map, its all high level components(deck.gl) that we all have an luma.gl which is low-level library library to rendering which is mostly internal.

### React-map.gl :

 It is reactfriendly wrapper around mapboxGL.js provide user friendly interface on top. In react-map.gl camera system and viewport that deck.gl have are combined, so we can pan,zoom,tilt,both layers and map are synchronized.

## Conclusion

---

<iframe id="xenonytplayer" class="xenon-video-iframe hs-responsive-embed-iframe" style="position: absolute; top: 0; left: 0; width: 100%; height: 100%; border: none;" xml="lang" src="https://www.youtube.com/embed/XFwL9FwZYyk?enablejsapi=1&amp;autoplay=0&amp;mute=1&amp;loop=0&amp;rel=0&amp;fs=0&amp;showinfo=0&amp;modestbranding=1&amp;autohide=1&amp;controls=1" allowfullscreen data-service="youtube" width="640" height="360" frameborder="0"></iframe>

Development of luma.gl is not finished and here are some highlights of what can be expected in coming releases. WebGL2 is a big API and together with the new features in luma.gl, it means that the luma.gl library has grown in size. Efforts are made to reduce the size of the library. GPU computing remains an area of active development for luma.gl and deck.gl. More Shader Modules is for large-scale (data-dense visualizations), when billions of data points going through the platform, need to make database and high-performance data visualizations. It provides MapboxGL integration and Vector tiles rather than raster tiles(as in leaflet). More examples will also be rewritten to take advantage of the shader module system.

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## Explore Related Topics

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[Data Foundry](https://www.xenonstack.com/blog/tag/data-foundry)

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![navdeep-singh-gill](https://www.xenonstack.com/hubfs/navdeep-gill-ceo-xenonstack.svg)

## Navdeep Singh Gill

Global CEO and Founder of XenonStack

Navdeep Singh Gill is serving as Chief Executive Officer and Product Architect at XenonStack. He holds expertise in building SaaS Platform for Decentralised Big Data management and Governance, AI Marketplace for Operationalising and Scaling. His incredible experience in AI Technologies and Big Data Engineering thrills him to write about different use cases and its approach to solutions.

[Explore More by Navdeep Singh Gill ![cta-blue-arrow](https://www.xenonstack.com/hubfs/cta-arrow-blue.svg)](https://www.xenonstack.com/blog/author/navdeep-singh-gill)

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## Related Articles

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### [React without JSX | The Ultimate Guide](https://www.xenonstack.com/blog/react-without-jsx)

16 August 2024

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XenonStack Agentic Foundry powers enterprise agentic systems with unified infra, analytics, workflows, and security to drive automation and compliance.

[![Youtube](https://www.xenonstack.com/hubfs/xs-footer-social-icons/youtube-icon.svg)](https://www.youtube.com/c/XenonStackOfficial) [![LinkedIn](https://www.xenonstack.com/hubfs/xs-footer-social-icons/linkedin-icon.svg)](https://www.linkedin.com/company/xenonstack/) [![Github](https://www.xenonstack.com/hubfs/xs-footer-social-icons/github-icon.svg)](https://github.com/xenonstack) [![Twitter](https://www.xenonstack.com/hubfs/xs-footer-social-icons/twitter-icon.svg)](https://twitter.com/xenonstack) [![Medium](https://www.xenonstack.com/hubfs/xs-footer-social-icons/medium-icon.svg)](https://medium.com/@xenonstack) [![Instagram](https://www.xenonstack.com/hubfs/xs-footer-social-icons/instagram-icon.svg)](https://www.instagram.com/teamxenonstack/)

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## AI Engineering

[Composite AI](https://www.xenonstack.com/artificial-intelligence/composite-ai/) [Decision AI](https://www.xenonstack.com/artificial-intelligence/decision-ai/) [AI Quality](https://www.xenonstack.com/artificial-intelligence/ai-quality/) [Generative AI](https://www.xenonstack.com/artificial-intelligence/generative-ai/) [Multimodal AI](https://www.xenonstack.com/artificial-intelligence/multimodal-ai/) [AI Assurance](https://www.xenonstack.com/artificial-intelligence/explainable-ai/) [MLOps](https://www.xenonstack.com/artificial-intelligence/mlops/) [Physical AI](https://www.xenonstack.com/artificial-intelligence/physical-ai/) [Augmented Engineering](https://www.xenonstack.com/artificial-intelligence/ai-augmented-software-development/) [Generative BI](https://www.xenonstack.com/artificial-intelligence/generative-bi/)

## Data Foundry

[Streaming Data Platform](https://www.xenonstack.com/dataops/streaming-data-platform/) [Data Lakehouse](https://www.xenonstack.com/dataops/delta-lake/) [Data Catalog](https://www.xenonstack.com/dataops/data-catalog/) [Data Observability](https://www.xenonstack.com/dataops/data-observability/) [Cloud Data Warehouse](https://www.xenonstack.com/dataops/cloud-data-warehouse/) [Data Engineering](https://www.xenonstack.com/dataops/data-engineering/) [MetaData Management](https://www.xenonstack.com/dataops/metadata-management/) [Data Quality](https://www.xenonstack.com/dataops/augmented-data-quality/) [Real Time Analytics](https://www.xenonstack.com/dataops/real-time-analytics/) [Data Modernization](https://www.xenonstack.com/dataops/data-modernization/)

## Platform Engineering

[Cloud Native](https://www.xenonstack.com/cloud-native/platform-engineering/) [Automation As Code](https://www.xenonstack.com/cloud-native/automation-as-code/) [Observability](https://www.xenonstack.com/cloud-native/observability/) [FinOps](https://www.xenonstack.com/cloud-native/finops/) [Application Modernization](https://www.xenonstack.com/cloud-native/application-modernization/) [DevSecOps](https://www.xenonstack.com/cloud-native/devsecops/) [Site Reliability Engineering](https://www.xenonstack.com/cloud-native/site-reliability-engineering/) [Progressive Delivery](https://www.xenonstack.com/cloud-native/progressive-delivery/) [GitOps](https://www.xenonstack.com/cloud-native/gitops/) [Compliance as code](https://www.xenonstack.com/cloud-native/compliance-as-code/) [Value Stream Management](https://www.xenonstack.com/cloud-native/value-stream-management/) [Policy as Code](https://www.xenonstack.com/cloud-native/policy-as-code/) [Telemetry Pipeline](https://www.xenonstack.com/cloud-native/telemetry-pipeline/)

## Agentic AI

[Agentic Analytics](https://www.xenonstack.com/agentic-ai/enterprise-systems/) [Agentic AI Systems](https://www.xenonstack.com/agentic-ai/agentic-ai-system/) [Process Intelligence](https://www.xenonstack.com/agentic-ai/business-process-operations/) [Developer Experience](https://www.xenonstack.com/agentic-ai/developer-experience-platform/) [Autonomous Operations](https://www.xenonstack.com/agentic-ai/autonomous-operations/) [AI Vision at EDGE](https://www.xenonstack.com/agentic-ai/edge-and-vision-ai/) [Compound AI System](https://www.xenonstack.com/agentic-ai/compound-ai-system/) [GUI Agents](https://www.xenonstack.com/agetic-ai/gui-agents/) [CMDB Management](https://www.xenonstack.com/agentic-ai/cmdb-management/) [ITSM](https://www.xenonstack.com/agentic-ai/itsm/) [Network Automation](https://www.xenonstack.com/agentic-ai/network-automation/)

## AI Agents

[DataBricks AI Agents](https://www.xenonstack.com/ai-agents/databricks-ai-agents/) [SnowFlake AI Agents](https://www.xenonstack.com/ai-agents/snowflake-ai-agents/) [ServiceNow AI Agents](https://www.xenonstack.com/ai-agents/servicenow-ai-agents/) [AWS AI Agents](https://www.xenonstack.com/ai-agents/aws-ai-agents/) [Microsoft Azure AI Agents](https://www.xenonstack.com/ai-agents/microsoft-azure-ai-agents-actions/) [SalesForce AI Agents](https://www.xenonstack.com/ai-agents/salesforce-agents-actions/) [MySQL AI Agents](https://www.xenonstack.com/ai-agents/mysql-agents-actions/) [PostgreSQL AI Agents](https://www.xenonstack.com/ai-agents/postgresql-agents-actions/) [Datadog AI Agents](https://www.xenonstack.com/ai-agents/datadog-agents-actions/) [DynaTrace AI Agents](https://www.xenonstack.com/ai-agents/dynatrace-agents-actions/) [Splunk AI Agents](https://www.xenonstack.com/ai-agents/splunk-agents-actions/) [BigQuery AI Agents](https://www.xenonstack.com/ai-agents/bigquery-agents-actions/) [SAP AI Agents](https://www.xenonstack.com/ai-agents/sap-agents-actions/) [Infor AI Agents](https://www.xenonstack.com/ai-agents/infor-agents-actions/) [Oracle AI Agents](https://www.xenonstack.com/ai-agents/oracle-agents-actions/) [WorkDay AI Agents](https://www.xenonstack.com/ai-agents/workday-agents-actions/) [Jira AI Agents](https://www.xenonstack.com/ai-agents/jira-agents-actions/)

## Industry

[Aerospace and Aviation](https://www.xenonstack.com/industries/aerospace/) [Financial Services](https://www.xenonstack.com/industries/banking/) [Automotive And Industrial](https://www.xenonstack.com/industries/automotive/) [Consumer Tech](https://www.xenonstack.com/industries/consumer-technology/) [Technology, Media and Telco](https://www.xenonstack.com/industries/enterprise-technology/) [Digital Supply Chain](https://www.xenonstack.com/industries/digital-supply-chain/) [Hospitality and Tourism](https://www.xenonstack.com/industries/travel-hospitality/) [Discrete Manufacturing](https://www.xenonstack.com/industries/automotive/) [Education](https://www.xenonstack.com/industries/education/) [Media and Entertainment](https://www.xenonstack.com/industries/media-entertainment/) [Oil and Gas](https://www.xenonstack.com/industries/oil-and-gas/) [Energy and Utilities](https://www.xenonstack.com/industries/energy-and-utilities/)

## Enterprise Support

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## Solutions

[Private Cloud](https://www.xenonstack.com/solutions/private-cloud/) [Internal Developer Platform](https://www.xenonstack.com/solutions/internal-developer-platform/) [AI Inference](https://www.xenonstack.com/solutions/ai-inference/) [Open-Source Data Platform](https://www.xenonstack.com/solutions/open-source-data-platform/) [AI Trust Score](https://www.xenonstack.com/solutions/ai-trust-score/) [Autonomous SoC](https://www.xenonstack.com/solutions/autonomous-soc/) [Digital Twin](https://www.xenonstack.com/solutions/digital-twin/) [Readiness Assessment](https://www.xenonstack.com/readiness-assessment/) [Talk To Specialist](https://www.xenonstack.com/talk-to-specialist/)

## Company

[About Us](https://www.xenonstack.com/about-us/) [Leadership Team](https://www.xenonstack.com/about-us/leadership-team/) [TAO of XenonStack](https://www.xenonstack.com/about-us/tao-of-xenonstack/) [How We Grow](https://www.xenonstack.com/about-us/how-we-grow/) [How We Work](https://www.xenonstack.com/about-us/how-we-work/) [Careers](https://www.xenonstack.com/careers/) [XA - QSIR](https://www.xenonstack.com/xenonstack-academy/) [Contact Us](https://www.xenonstack.com/contact-us/) [Book Demo](https://demo.xenonstack.com/)

## Resources

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✕

## Agent SRE for Reliability and Observability Solutions

 AI continuously monitors systems for risks before they escalate. It correlates signals across logs, metrics, and traces. This ensures faster detection, fewer incidents, and stronger reliability

- ![Performance Icon](https://www.xenonstack.com/hubfs/performance.svg)Proactive detection of performance and availability issues
- ![Root Cause Icon](https://www.xenonstack.com/hubfs/root-cause.svg)Root-cause analysis across microservices and environments
- ![Remediation Icon](https://www.xenonstack.com/hubfs/remediation.svg)Automated remediation playbooks to reduce MTTR

[Explore Agent SRE](https://agentsre.ai/)

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✕

## Physical Surveillance with Vision AI Agent Technology

 AI converts camera feeds into instant situational awareness. It detects unusual motion and unsafe behavior in real time. Long hours of video become searchable and summarized instantly

- ![Motion Icon](https://www.xenonstack.com/hubfs/motion.svg)Real-time detection of suspicious motion or intrusion
- ![Video Search Icon](https://www.xenonstack.com/hubfs/video-search.svg)Natural language video search and instant playback
- ![Summary Icon](https://www.xenonstack.com/hubfs/summary.svg)Smart summaries for audits, investigations, and compliance

[See Vision AI in Action](https://www.xenonstack.ai/)

![physical-surveillance](https://www.xenonstack.com/hubfs/xai-banner-image.svg)

✕

## Agentic Data Intelligence Across Your Full Data Stack

 Your data stack becomes intelligent and conversational. Agents surface insights, detect anomalies, and explain trends. Move from dashboards to autonomous, always-on analytics

- ![Connects warehouses](https://www.xenonstack.com/hubfs/data-icon.svg)Connects to warehouses, lakes, and streaming sources
- ![Question Answering](https://www.xenonstack.com/hubfs/answers.svg)Question-answering in natural language
- ![Continuous monitoring](https://www.xenonstack.com/hubfs/monitoring-2.svg)Continuous monitoring for anomalies and KPI deviations

[See in Action](https://elixirdata.co/)

![agentic-data-intelligence](https://www.xenonstack.com/hubfs/empowerment-of-analysts.svg)

✕

## Intelligent Diagnostic for Self-Healing System Automation

 Agents identify recurring failures and performance issues. They trigger workflows that resolve common problems automatically. Your infrastructure evolves into a self-healing environment

- ![Diagnostics Icon](https://www.xenonstack.com/hubfs/diagnostic.svg)Automated diagnostics for recurring errors
- ![Playbook Icon](https://www.xenonstack.com/hubfs/playbook.svg)Playbook execution: restart services, scale pods, clear queues
- ![Feedback Icon](https://www.xenonstack.com/hubfs/feedback.svg)Feedback loop for improving remediation strategies

[See in Action](https://agentanalyst.ai/)

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✕

## Agentic GRC - Monitoring Risk and Compliance Controls

 AI continuously checks controls and compliance posture. It detects misconfigurations and risks before they escalate. Evidence collection becomes automatic and audit-ready

- ![Controls Icon](https://www.xenonstack.com/hubfs/controls.svg)Continuous control checks across infrastructure and SaaS
- ![Audit Icon](https://www.xenonstack.com/hubfs/audit.svg)Automated evidence collection for audits
- ![Risk Icon](https://www.xenonstack.com/hubfs/risk.svg)Risk scoring and prioritized remediation recommendations

[Explore Agent GRC](https://agentgrc.ai/)

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✕

## Agentic Finance and Procurement Intelligent Agents

 Financial and procurement workflows become proactive and insight-driven. Agents monitor spend, vendors, and contracts in real time. Approvals and sourcing decisions become faster and smarter

- ![Visibility Icon](https://www.xenonstack.com/hubfs/visibility.svg)Real-time visibility into spend and commitments
- ![Anomaly Icon](https://www.xenonstack.com/hubfs/anomaly.svg)Anomaly detection on invoices and vendor performance
- ![Workflow Icon](https://www.xenonstack.com/hubfs/workflow.svg)Intelligent workflows for approvals and sourcing decisions

[Optimize Finance & Procurement](https://www.xenonify.ai/)

![agentic-finance-and-procurement](https://www.xenonstack.com/hubfs/responsible-ai-aviators-banner-illustration.svg)

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```

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