--- title: Google Cloud Deep Learning VM Image Reviews meta_title: 'Google Cloud Deep Learning VM Image Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 32 reviews by the users' company size, role or industry to find out how Google Cloud Deep Learning VM Image works for a business like yours. aggregate_rating: rating_value: 4.3 review_count: 32 scale: '5' date_modified: '2026-08-09' parent_category: name: Deep Learning url: https://www.g2.com/categories/deep-learning --- # Google Cloud Deep Learning VM Image Reviews **Vendor:** Google **Category:** [Artificial Neural Network Software](https://www.g2.com/categories/artificial-neural-network) **Average Rating:** 4.3/5.0 **Total Reviews:** 32 ## About Google Cloud Deep Learning VM Image Deep Learning VM Image Preconfigured VMs for deep learning applications. ## Google Cloud Deep Learning VM Image Reviews ### 1. Preconfigured Deep Learning VM Image Speeds Up GPU-Accelerated AI Work on Google Cloud **Rating:** 4.5/5.0 stars **Reviewed by:** Subhashree S. | Developer, Enterprise (> 1000 emp.) **Reviewed Date:** July 30, 2026 **What do you like best about Google Cloud Deep Learning VM Image?** What I like best about Google Cloud Deep Learning VM Image is that it comes preconfigured with popular AI and machine learning frameworks, GPU drivers, CUDA, and essential libraries, eliminating the time-consuming setup process. It enables developers and data scientists to start training and experimenting with models quickly while offering seamless integration with other Google Cloud services. Its scalability, reliable performance, and support for GPU-accelerated workloads make it an excellent choice for AI development and research. **What do you dislike about Google Cloud Deep Learning VM Image?** One downside of Google Cloud Deep Learning VM Image is that costs can increase quickly when using GPU-enabled instances for extended periods. The platform also has a learning curve for users unfamiliar with Google Cloud services, and managing dependencies or custom environments may require additional configuration. More built-in cost optimization tools and simplified environment management would make the experience even better. **What problems is Google Cloud Deep Learning VM Image solving and how is that benefiting you?** Google Cloud Deep Learning VM Image solves the challenge of setting up and managing machine learning development environments by providing preconfigured virtual machines with popular AI frameworks, GPU drivers, and dependencies already installed. This significantly reduces setup time, accelerates model development and experimentation, and enables teams to focus on building and training AI models instead of managing infrastructure. For businesses, it speeds up AI project delivery, improves productivity, and provides a scalable environment for handling compute-intensive machine learning workloads. ### 2. Frictionless ML Prototyping with a Ready-to-Go JupyterLab Environment **Rating:** 4.5/5.0 stars **Reviewed by:** Sai G. | Senior Systems Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** August 04, 2026 **What do you like best about Google Cloud Deep Learning VM Image?** What I like most is how frictionless it makes fast prototyping. It comes loaded with all the standard ML tools, libraries, and NVIDIA drivers standard out-of-the-box, so I don't waste half a day setting up my environment every time we start a new project. Plus, having JupyterLab already configured and ready to go over HTTPS makes interactive debugging super smooth. **What do you dislike about Google Cloud Deep Learning VM Image?** The large image size means slightly longer initial boot times and higher storage footprint. Also, if you need a very niche or ultra-bleeding-edge framework version, you still end up having to manually override or update the pre-installed CUDA/PyTorch packages. **What problems is Google Cloud Deep Learning VM Image solving and how is that benefiting you?** Problems Solved: Solves complex GPU driver and ML framework setup and version compatibility issues. How it Benefits Us: Saves hours of environment setup per project, allowing us to go from spinning up a VM to running code in under five minutes. ### 3. Google CLOUD VM Images Make AI/ML Environments Fast and Hassle-Free **Rating:** 4.5/5.0 stars **Reviewed by:** Jagadis P. | Product Specialist (Order to Cash), Enterprise (> 1000 emp.) **Reviewed Date:** August 09, 2026 **What do you like best about Google Cloud Deep Learning VM Image?** Being in retail organization where we have to work on consumer insights on millions of data points, it takes a lot of AI/ML capacity. And with army of data scientist we have to provide them all the environments to run various algorithms to get the best outcome. Google CLOUD VM image help us to have all the various setup like LINUX, TENSORFLOW,Open CV, ML libraries etc. and all this can be done without installation of all these setup. UX is better where we can operate all possible flows. **What do you dislike about Google Cloud Deep Learning VM Image?** Infra is the biggest problem for this. Its best, but we have to take the full headache of managing VM - Security, patching etc. everything falls on you. Same way - framework lifecycle management also is organizatioin headache. Since it is operated for huge amount of data set, GPU cost can go super expensive. Security is shared responsibility so it all comes on your organization and regular updates are important **What problems is Google Cloud Deep Learning VM Image solving and how is that benefiting you?** As a retail organization we have to be super efficient in planning our supplychain and thats where we use it for Demand forecasting according to seasonal ask, according to festive as per region, as per high surge request etc. We also use this for intelligent product recommendation to customer as per user buying patterns. We also started using for improving our shelf availability which is always problem for major retailer. ### 4. Preconfigured Deep Learning VMs That Speed Up TensorFlow, PyTorch, and Jupyter Workflows **Rating:** 4.5/5.0 stars **Reviewed by:** Komal S. | Technical Trainer, Mid-Market (51-1000 emp.) **Reviewed Date:** August 04, 2026 **What do you like best about Google Cloud Deep Learning VM Image?** What I like best about Google Cloud Deep Learning VM Images is that they provide a preconfigured environment with popular AI and deep learning frameworks, eliminating time spent on setup and dependency management. From my experience delivering AI training and building proof-of-concept solutions, this allows me to quickly start experimenting with TensorFlow, PyTorch, and Jupyter notebooks, making hands-on learning and model development much more efficient. **What do you dislike about Google Cloud Deep Learning VM Image?** One downside of Google Cloud Deep Learning VM Images is that they can become expensive if GPU-enabled instances are left running unintentionally. Additionally, while the preconfigured environments are convenient, customizing them for specific project requirements or newer framework versions can sometimes require extra configuration and maintenance. **What problems is Google Cloud Deep Learning VM Image solving and how is that benefiting you?** Google Cloud Deep Learning VM Images solve the time-consuming process of configuring AI development environments from scratch. With pre-installed frameworks, GPU drivers, and development tools, I can quickly provision an environment for model development, demonstrations, and hands-on training. This saves setup time, reduces configuration issues, and allows me to focus on building AI solutions and delivering practical learning experiences. ### 5. Fast, Ready-to-Use ML Environments with Seamless Google Cloud Integration **Rating:** 5.0/5.0 stars **Reviewed by:** Jamil I. | SPS associate, Enterprise (> 1000 emp.) **Reviewed Date:** August 07, 2026 **What do you like best about Google Cloud Deep Learning VM Image?** What I like most is how quickly I get a machine learning environment up and running without spending time configuring everything manually. Most of the common frameworks and GPU drivers are already setup, so I can start experimenting almost immediately. It also ingrates well with other google cloud services, making it convenient to manage projects and scale resources when needed. **What do you dislike about Google Cloud Deep Learning VM Image?** The learning curve is a bit steep for beginners and GPU costs can add up quickly if you're not careful. **What problems is Google Cloud Deep Learning VM Image solving and how is that benefiting you?** It reduces the time spent setting up deep learning environments. I can focus more on building and testing modules instead of dealing with installation and configuration issues. ### 6. Easy Setup with Preinstalled AI Frameworks and Strong GPU Performance **Rating:** 4.5/5.0 stars **Reviewed by:** LOKESH G. | Engineer.SGB TCS-FS CORE BANKING,Production, Information Technology and Services, Enterprise (> 1000 emp.) **Reviewed Date:** July 27, 2026 **What do you like best about Google Cloud Deep Learning VM Image?** I like how easy it is to set up, with popular AI frameworks already installed, and how well it works with GPUs. It saves me time and makes it straightforward to start building and training AI models right away. **What do you dislike about Google Cloud Deep Learning VM Image?** The setup is straightforward and easy to get through, but GPU availability can be limited at times. Also, the cost can add up quickly, especially for long-running workloads. **What problems is Google Cloud Deep Learning VM Image solving and how is that benefiting you?** Google Cloud Deep Learning VM Image saves me the time and effort of setting up machine learning environments. Because the required frameworks and drivers are already installed, I can start training and testing models right away. This improves my productivity and helps speed up development. ### 7. A Convenient Way to Get an ML Environment Running Quickly **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Mid-Market (51-1000 emp.) **Reviewed Date:** August 04, 2026 **What do you like best about Google Cloud Deep Learning VM Image?** The biggest advantage is that it removes most of the setup work. Instead of spending time installing frameworks, drivers, and dependencies, you can start working with a ready-to-use environment. It already includes the common machine learning libraries, which makes it much easier to experiment with models or run training jobs without worrying about configuration. **What do you dislike about Google Cloud Deep Learning VM Image?** The initial experience is straightforward, but managing costs requires attention if you leave VM instances running. Also, if you need very specific library versions or custom environments, you'll still end up doing some manual configuration. Better guidance for version compatibility would be useful. **What problems is Google Cloud Deep Learning VM Image solving and how is that benefiting you?** It saves the time that would normally be spent preparing a machine learning environment from scratch. Instead of troubleshooting installations, I can focus on building and testing models. This has made it easier to prototype ideas and get new projects started much faster. ### 8. Saves Setup Time with Google Cloud Deep Learning VM Image **Rating:** 5.0/5.0 stars **Reviewed by:** Vivek C. | Team Manager, Mid-Market (51-1000 emp.) **Reviewed Date:** August 08, 2026 **What do you like best about Google Cloud Deep Learning VM Image?** The best part about Google Cloud Deep Learning VM Images is how much time they save on environment setup—you get a stable, pre-configured stack right out of the box. Having popular frameworks like PyTorch and TensorFlow ready to go, alongside JupyterLab, makes it incredibly easy to jump straight into training models without getting bogged down in installation and configuration. **What do you dislike about Google Cloud Deep Learning VM Image?** It is highly convenient for starting projects, but custom dependency management and zone resource limits require careful planning. **What problems is Google Cloud Deep Learning VM Image solving and how is that benefiting you?** Saves days of engineering frustration and prevents broken development environments. ### 9. Flexible, Scalable, and Easy to Standardize Images Across Workflows **Rating:** 5.0/5.0 stars **Reviewed by:** Abhishek H. | Cloud Analyst, Enterprise (> 1000 emp.) **Reviewed Date:** August 06, 2026 **What do you like best about Google Cloud Deep Learning VM Image?** Its very flexible and scalable My team can standardise the version of image and easily reproduce them across different workflows The already installed framework and libraries help get better results **What do you dislike about Google Cloud Deep Learning VM Image?** Nothing in particular so far The image bloat causes delay usually **What problems is Google Cloud Deep Learning VM Image solving and how is that benefiting you?** Environmental Breakdown- team members can work on their local and push to production The inbuilt packages and libraries help the team to get faster output Benefits are Faster Go live to market Reduces Secured and Governance ### 10. Speeds Up AI/ML Setup with Tensor and Python Support, Plus Cloud GPU **Rating:** 4.5/5.0 stars **Reviewed by:** Soumya K. | System Analyst, Broadcast Media, Small-Business (50 or fewer emp.) **Reviewed Date:** August 07, 2026 **What do you like best about Google Cloud Deep Learning VM Image?** It supports the predefined AI and ML frameworks like Tensor, Python. It reduces the time for manual setup and Dependency. Also it offers cloud services and GPU. **What do you dislike about Google Cloud Deep Learning VM Image?** It is overwhelming for beginners with large number of tools. Use of GPU instances can be expensive. Troubleshooting can be difficult for users at times. **What problems is Google Cloud Deep Learning VM Image solving and how is that benefiting you?** Solves the issue for time required to do the initial set up. It comes with predefined tools which solves the compatibility issues. ### 11. Powerful tool to help modernise your business **Rating:** 4.5/5.0 stars **Reviewed by:** Ryan C. | Operations manager, Small-Business (50 or fewer emp.) **Reviewed Date:** July 18, 2026 **What do you like best about Google Cloud Deep Learning VM Image?** We are able to process our organisation key performance data much more quickly now **What do you dislike about Google Cloud Deep Learning VM Image?** It may be a free start but it soon becomes very costly. **What problems is Google Cloud Deep Learning VM Image solving and how is that benefiting you?** With it being open to developers we have been able to get assistance to get the user interface more suited to us ### 12. Google Cloud Deep Learning VM Image Review **Rating:** 5.0/5.0 stars **Reviewed by:** Ramcharn H. | Senior Customer Service Officer, Mid-Market (51-1000 emp.) **Reviewed Date:** October 19, 2023 **What do you like best about Google Cloud Deep Learning VM Image?** You can quickly provision a VM with everything you need for your deep learning project on Google Cloud. Deep Learning VM Image makes it simple and quick to create a VM image containing all the most popular. **What do you dislike about Google Cloud Deep Learning VM Image?** "I found documentation to be a bit confusing as to where to search for reference and examples" **What problems is Google Cloud Deep Learning VM Image solving and how is that benefiting you?** Google after being the leading search engine provider dived into the cloud frenzy and it didn't disappoint. Its pricing is competitive , it has most of the features that other cloud providers have." ### 13. I developed and trained various deep learning models. **Rating:** 4.5/5.0 stars **Reviewed by:** Ali Burak . | Small-Business (50 or fewer emp.) **Reviewed Date:** October 28, 2023 **What do you like best about Google Cloud Deep Learning VM Image?** It is easy to set up and use. Thanks to its performance and scalability, I can train larger and more complex models. **What do you dislike about Google Cloud Deep Learning VM Image?** The cost is very high, it's easy to use, but there aren't many options to create a more customized environment for myself. **What problems is Google Cloud Deep Learning VM Image solving and how is that benefiting you?** I used it to develop a natural language processing model in a project. I introduced speech recognition models for translation. ### 14. Most recommended tool for Deep Learning **Rating:** 5.0/5.0 stars **Reviewed by:** Prashant P. | Business Development Manager, Information Technology and Services, Small-Business (50 or fewer emp.) **Reviewed Date:** October 18, 2023 **What do you like best about Google Cloud Deep Learning VM Image?** The Google Cloud Deep Learning is really a market game changer product in deep learning. Its really very easy to use and has good performance an security. It is cost efficient. **What do you dislike about Google Cloud Deep Learning VM Image?** There is nothing that can be disliked. Google Cloud Deep Learning VM Image is awesome. **What problems is Google Cloud Deep Learning VM Image solving and how is that benefiting you?** It has benefited me in the documentation. It has preconfigured environments that saved my time. I can easily scale up and down as per my requirements. Easy for team collaboration. Overall it has saved my time a lot. ### 15. Great Cloud Platform **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Staffing and Recruiting | Mid-Market (51-1000 emp.) **Reviewed Date:** October 18, 2023 **What do you like best about Google Cloud Deep Learning VM Image?** its a best tool I have used because of easy access and the User Interface is very nice, anyone can use it easily without have any training or knowledge about it **What do you dislike about Google Cloud Deep Learning VM Image?** I didnt face anything in this tool which i would say that this is not good coz I have never gone through with those things **What problems is Google Cloud Deep Learning VM Image solving and how is that benefiting you?** Its a great AI framework. it makes easy and fast to exemplify a vm image and the best part is we can also easily add cloud GPU and cloud TPU and also it supports latest machine learning framework which is a great thing. ### 16. Best image for Deep learning Project **Rating:** 5.0/5.0 stars **Reviewed by:** Sankalp A. | Mid-Market (51-1000 emp.) **Reviewed Date:** October 20, 2023 **What do you like best about Google Cloud Deep Learning VM Image?** Easy and Fast implementation of deep learning project on google cloud. It comes with pre-installed required softwares like PyTorch, Scikit-learn, Tensorflow and many more. **What do you dislike about Google Cloud Deep Learning VM Image?** Nothing to dislike about Google cloud deep learning vm image. **What problems is Google Cloud Deep Learning VM Image solving and how is that benefiting you?** Created deep learning project with the help of google cloud vm image without worrying about initial setup. ### 17. A deep learning virtual machine on Google Cloud and Effortless Deep Learning Setup . **Rating:** 5.0/5.0 stars **Reviewed by:** prajakta k. | DBA, Mid-Market (51-1000 emp.) **Reviewed Date:** October 20, 2023 **What do you like best about Google Cloud Deep Learning VM Image?** Google Cloud is easy to use.the best support for the customer. ease implementation. and we use this daily. This Google Cloud has so many features. **What do you dislike about Google Cloud Deep Learning VM Image?** There is no such dislike for Google Cloud. **What problems is Google Cloud Deep Learning VM Image solving and how is that benefiting you?** This helps me save time. and reducing technical issues with software installation. faster AI model development and experimentation. ### 18. Good product for user interface & ease **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Staffing and Recruiting | Small-Business (50 or fewer emp.) **Reviewed Date:** November 07, 2023 **What do you like best about Google Cloud Deep Learning VM Image?** There is not a ton of setup or learning curve with this - its nice to use immediately. **What do you dislike about Google Cloud Deep Learning VM Image?** I didn't use everything this product is intended for and therefore did not run into any problems. **What problems is Google Cloud Deep Learning VM Image solving and how is that benefiting you?** We used it since it had many things come pre-installed and would be fast & easy. - [View Google Cloud Deep Learning VM Image pricing details and edition comparison](https://www.g2.com/products/google-cloud-deep-learning-vm-image/reviews?filters%5Bnps_score%5D%5B%5D=5§ion=pricing&secure%5Bexpires_at%5D=2026-08-09+17%3A46%3A30+-0500&secure%5Bsession_id%5D=04cb7dad-72bf-4b0f-adac-b06db1e2a1b1&secure%5Btoken%5D=594f3416b1077e86d18d9473ce6fedf702f9727e67d2bf4cd68c8e244f1fbc54&format=llm_user) ## Google Cloud Deep Learning VM Image Integrations - [SharePoint Integration](https://www.g2.com/products/sharepoint-integration/reviews) - [Vertex AI Agent Builder](https://www.g2.com/products/vertex-ai-agent-builder/reviews) ## Google Cloud Deep Learning VM Image Features **Additional Functionality** - Tagging - Natural Language Processing - Data Extraction - Multi-Language - Predictive Analytics - Drag & Drop - Speech Recognition - Reporting/Analytics - Data Storage Management - Virtual Personal Assistant (VPA) - AI Copilot - Customer Segmentation - Collaboration Tools - Data Import/Export - Generative AI - For eCommerce - Role-Based Permissions - Customizable Branding - Search/Filter - Monitoring - Document Management - API - Data Visualization - Trend Analysis - Machine Learning - Access Controls/Permissions - Alerts/Escalation - Performance Metrics - Real-Time Data - Third-Party Integrations - Mobile App - Multiple Data Sources - For Sales Teams/Organizations - Sentiment Analysis - Activity Dashboard - Chatbot - Workflow Automation **Additional Functionality** - No-Code - Search/Filter - Data Import/Export - Data Visualization - Activity Dashboard - Workflow Management - Quality Control - Third-Party Integrations - Model Training - Multi-Language - Data Profiling - Visualization - Data Capture and Transfer - Predictive Analytics - Performance Metrics - Image Recognition - Version Control - Neural Network Modeling - Generative AI - Synchronous Learning - Natural Language Processing - Monitoring - Data Transformation - Customizable Reports - Voice Recognition - Performance Management - Compliance Management - Troubleshooting - Content Management - Asynchronous Learning - Real-Time Reporting - API - Artificial Neural Networks - AI Copilot - ML Algorithm Library - Real-Time Data - Collaboration Tools - Self-paced Learning - Data Extraction - Configuration Management - Data Security - Visual Analytics - Activity Tracking - Continuous Delivery - Document Classification - Image Analysis - Progress Tracking - Reporting & Statistics - Real-Time Monitoring **Core Functionality - Artificial Neural Network** - Neural Network Training - Neural Network Testing - Model Evaluation - Compliance **Data Handling - Artificial Neural Network** - Data Integration - Data Preprocessing **Performance - Artificial Neural Network** - Model Optimization - Scalability **Usability - Artificial Neural Network** - User Interface - Documentation & Support - Customizability **Advanced Features - Artificial Neural Network** - Deep Learning Capabilities - Transfer Learning - Real-Time Processing - Automated Model Tuning - Visualization Tools **Agentic AI - Artificial Neural Network** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Proactive Assistance - Decision Making ## Top Google Cloud Deep Learning VM Image Alternatives - [Keras](https://www.g2.com/products/keras/reviews) - 4.6/5.0 (64 reviews) - [AIToolbox](https://www.g2.com/products/aitoolbox/reviews) - 4.4/5.0 (35 reviews) - [Microsoft Cognitive Toolkit (Formerly CNTK)](https://www.g2.com/products/microsoft-cognitive-toolkit-formerly-cntk/reviews) - 4.2/5.0 (22 reviews)