List of Google Cloud Compute Engine Customers
Google
1600 Amphitheatre Parkway,
Mountain View, 94043, CA,
United States
Mountain View, 94043, CA,
United States
1 650-253-0000
Communications
190820
$402.8B
Since 2010, our global team of researchers has been studying Google Cloud Compute Engine customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Google Cloud Compute Engine for Digital Workspace from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Google Cloud Compute Engine for Digital Workspace include: Resemble AI, a United States based Communications organisation with 2400 employees and revenues of $600.0 million, Jenzabar, a United States based Professional Services organisation with 520 employees and revenues of $102.0 million, Replit, a United States based Professional Services organisation with 150 employees and revenues of $20.0 million and many others.
Contact us if you need a completed and verified list of companies using Google Cloud Compute Engine, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Google Cloud Compute Engine customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
Apply Filters For Customers
| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight | Insight Source |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
 |
Jenzabar | Professional Services | 520 | $102M | United States | Google Cloud Compute Engine | Digital Workspace | 2024 | n/a | In 2024 Jenzabar announced a multi year strategic partnership with Google Cloud and committed to deploy Google Cloud Compute Engine as a core element of its Digital Workspace modernization for Student Information Systems. Jenzabar will integrate Google Cloud Compute Engine into a broader infrastructure strategy that includes Google Cloud VMware Engine and Google Kubernetes Engine, positioning its SIS workloads on scalable, low latency cloud infrastructure and Google Workspace integrations. The implementation focuses on containerizing Jenzabar applications for deployment on Autopilot and running orchestrated Kubernetes workloads on Google Kubernetes Engine, with compute instances and VM scale provided by Google Cloud Compute Engine. Functional capabilities emphasized in the rollout include secure SIS hosting, personalization and accessibility of student services, plus experimentation with Vertex AI for Search and Conversation and access to 100 plus foundation models to prototype and deploy AI assisted features. Integrations named in the program include Google Workspace for productivity and collaboration, Vertex AI for enterprise ready artificial intelligence, Google Cloud VMware Engine for enterprise VM portability, and Google Cloud Compute Engine for scalable compute capacity, all operated over Google Cloud’s global network backbone. Operational scope is higher education institutions deploying Jenzabar student information systems, impacting admissions, enrollment management, and student support functions. Governance is structured through a multi year strategic partnership model with Google Cloud, applying Google Cloud’s secure by design principles and a shared fate risk management approach to platform security and controls. The partnership explicitly aims to enable institutions to leverage student information systems that empower learners with more agency and flexibility and to accelerate institutional modernization on a secure and scalable infrastructure. | ||
 |
Replit | Professional Services | 150 | $20M | United States | Google Cloud Compute Engine | Digital Workspace | 2023 | n/a | In 2023, Replit implemented Google Cloud Compute Engine as part of its Digital Workspace to scale its browser based collaborative IDE and execution environment. The implementation supports a platform serving about 1 million monthly active users and up to 70,000 daily developers, and it underpins an execution environment that must handle roughly 10,000 concurrent containers. Replit configured Compute Engine instance groups with autoscaling and used instance templates pushed via Ansible to standardize deployments. The deployment pipeline relies on Google Container Registry and Cloud Storage for Docker images and artifacts, and signed URLs from Cloud Storage enable the browser based REPL to write and synchronize files directly to cloud storage, reducing proxy IO and latency. The architecture integrates Cloud Load Balancing to trigger new Compute Engine instances when CPU thresholds are exceeded, and Cloud Memorystore provides a low latency Redis store for the highly distributed session and state data. BigQuery ingests instrumentation and usage events and interacts with Segment.com for event capture, while Google Kubernetes Engine and emerging container on demand features based on Cloud Functions are used to increase DevOps efficiency and introduce flexible billing options for container workloads. Operationally the rollout centralized build and deploy automation, standardized instance templates, and introduced a proxy prefix for persistent container links to stabilize developer and classroom workflows. The Google CLI and its auto update capability are used by students and developers for exploration and maintenance, and Replit reports that the cloud architecture scales up and down on demand and provides the team with more time to manage and extend the platform. | ||
 |
Resemble AI | Communications | 2400 | $600M | United States | Google Cloud Compute Engine | Digital Workspace | 2024 | n/a | In 2024, Resemble AI implemented Google Cloud Compute Engine within a Digital Workspace to provision scalable infrastructure for engineering-led model training, fine-tuning, and production serving. The engagement began with a dedicated Google Cloud account manager who guided performance tuning and cost optimization, aligning cloud compute choices to Resemble AI's training and serving workflows so engineers could focus on model development rather than infrastructure operations. The deployment combined Google Cloud’s AI Hypercomputer components, specifically A3 VMs and Hyperdisk ML, with Local SSDs for dynamic datasets and N2 VMs for upstream data cleaning and transformation. Hyperdisk ML hosted large static training datasets for high-throughput access during training on A3 VMs, while Local SSDs provided writable, low-latency storage for evolving data. Model serving was run across A3 and G2 instances to balance performance and cost, and Vertex AI was used to orchestrate fine-tuning jobs, frequently leveraging spot instances for transient workloads. Integrations included Cloud Storage for persistent model weight storage, mounted into compute with Cloud Storage FUSE to streamline serving workflows, and Hyperdisk ML volumes seeded by N2 preprocessing pipelines to accelerate accelerator I O. The environment supported large-scale retraining workloads, including handling training data volumes on the order of 70 terabytes, and provided the throughput necessary to scale inference to over 100 requests per second with many cases under 250 milliseconds latency. Governance and operational controls emphasized cost management through committed use discounts on Compute Engine and spot instance use for fine-tuning, while the account management relationship reduced operational friction during onboarding and scaling. The Google Cloud Compute Engine based Digital Workspace enabled Resemble AI to flip effort from data preparation toward modeling, expedite experiment velocity, and incorporate Gemini and Gemma to support data labeling and deeper work in deepfake detection while continuing to release new models such as Chatterbox. |
Showing 1 to 3 of 3 entries
Buyer Intent: Companies Evaluating Google Cloud Compute Engine
ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating Google Cloud Compute Engine. Gain ongoing access to real-time prospects and uncover hidden opportunities.
Discover Software Buyers actively Evaluating Enterprise Applications
| Logo | Company | Industry | Employees | Revenue | Country | Evaluated | ||
|---|---|---|---|---|---|---|---|---|
| No data found | ||||||||
FAQ - APPS RUN THE WORLD Google Cloud Compute Engine Coverage
Google Cloud Compute Engine is a Digital Workspace solution from Google.
Companies worldwide use Google Cloud Compute Engine, from small firms to large enterprises across 21+ industries.
Organizations such as Resemble AI, Jenzabar and Replit are recorded users of
Google Cloud Compute Engine for Digital Workspace.
Companies using Google Cloud Compute Engine are most concentrated in Communications and Professional Services, with adoption spanning over 21 industries.
Companies using Google Cloud Compute Engine are most concentrated in United States, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Google Cloud Compute Engine across Americas, EMEA, and APAC.
Companies using Google Cloud Compute Engine range from small businesses with 0-100 employees - 0%, to mid-sized firms with 101-1,000 employees - 66.67%, large organizations with 1,001-10,000 employees - 33.33%, and global enterprises with 10,000+ employees - 0%.
Customers of Google Cloud Compute Engine include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.
Contact APPS RUN THE WORLD to access the full verified Google Cloud Compute Engine customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Digital Workspace.