Get started with ready-to-use AI frameworks

Gen AI adoption is now nearly universal, according to our  2025 State of AI Infrastructure report, with 98% of organizations now actively exploring, developing, or using gen AI in production. But as technology leaders shift their focus from experimentation to practical application, they are quickly realizing it will take more than AI to succeed.

For many organizations, the future success of gen AI will largely depend on whether they have the right foundation to support the rapidly evolving demands of AI. That’s no small order. 

Organizations need AI-optimized infrastructure that can deliver the scale, reliability, performance, security, and efficiency to handle large, resource-intensive AI applications and workloads. They have to serve a diverse range of users while also safeguarding both intellectual property and customer data. Plus, they want to easily access, customize, and connect their data to the latest AI models and tools, with the flexibility to adapt as their business and budgets change. These already formidable requirements become even more challenging at the industry level, especially when considering each sector’s unique characteristics, diverse data landscapes, and regulatory environments, varying risk tolerances, and distinct business objectives. 

Over the last year, we’ve heard from businesses across all industries that they require the skills, time, and resources to build, manage, and scale AI infrastructure capabilities. In addition, despite impressive capabilities, even the most advanced AI tools and models may struggle with domain-specific challenges or specialized language and terms. Increasingly, organizations are searching for ready-to-go solutions that can help eliminate complexity while providing a cost-effective path to achieving value with AI. 

To help, we recently introduced AI Industry Bundles — curated Google Cloud AI enablers and accelerators, tailored to the specific challenges and opportunities in top industries. Instead of building everything from the ground up, these bundles are designed to get you an accelerated path to establishing an AI infrastructure environment, providing: 

• Purpose-built AI infrastructure: Built on more than a decade of experience delivering AI at scale, our AI infrastructure combines the widest range of AI-optimized hardware, open software and popular frameworks, flexible consumption models, and a secure, AI-optimized foundation already helping to power some of the most advanced AI products in the world. 
  
• The best of Google AI: State-of-the-art Google AI models, including industry-specific models like AlphaFold, industry-standard integrations, and powerful AI tools to accelerate deployment and adoption. 
  
• Comprehensive guidance: Deployment blueprints, engineering best practices, and recommendations prepared by our experts to help you get the most out of Google Cloud.

Below, we’ll dive into the AI Industry Bundles that are currently available to help tackle specific use cases across media and entertainment, manufacturing, games, life sciences, retail, and financial services. 

Media and entertainment: Gen AI-powered creative production

Gen AI enables powerful new ways for media and entertainment companies to augment their most valuable asset — human creativity. In particular, film studios are exploring how gen AI can transform creative processes, making production faster and more affordable. However, integrating AI into traditional film production pipelines presents unique challenges, given the industry’s fragmented, multidisciplinary workflows, vast array of specialized software, and creative-dominant workforce. 

AI Bundle: An open platform for creative teams to easily build and run custom image and video generation workflows in their Google Cloud tenant, all while optimizing costs. The solution combines Google Kubernetes Engine (GKE) infrastructure, Google’s Imagen and Veo generation models, and ComfyUI. With support for a wide range of Google, third-party, and open-source models, customers can consolidate all media creation on a single platform, simplifying infrastructure management while optimizing costs.

Benefits for filmmakers and creatives:

• Accelerated pre-production: Rapidly generate diverse images and video sequences, bringing ideas to life in near real-time and speeding up creative iteration. 
  
• Enhanced production capabilities: Fine-tune AI models for specific artistic styles and aesthetics, create and augment assets with AI, and speed up post-production VFX tasks.
• Pipeline optimization: Unify complex workflows within a single environment, eliminating friction to make the entire production pipeline faster, cheaper, and even more creative.
• Scalability and lower costs: Deploy on scalable GKE to share expensive accelerators among creative teams and scale resources to match real demand, which helps support cost efficiencies.

Manufacturing: AI-powered digital twins

Manufacturing faces critical challenges: slow, disconnected development and design process with costly physical prototypes, fragmented views across the value chain that lead to inefficiencies and quality issues, and difficulties enabling agile factories that can respond to customer demand. Digital twins are real-time digital replicas of their physical systems and operations, enabling manufacturers to monitor, analyze, simulate, and optimize the entire production lifecycle. 

AI Bundle: A single, integrated platform that helps break down silos between design, operations, and customers, providing everything manufacturers need to create AI-powered digital twin environments. This includes Google Cloud’s Manufacturing Data Engine to ingest and harmonize factory floor data, the Cortex Framework to integrate critical operational data, and our new G4 virtual machines for powering large-scale AI workloads and advanced simulations — all bundled together with Google Cloud’s industry-leading data and AI capabilities.

Benefits for manufacturers: 

• Accelerated product design and innovation: Simulate and validate complex products in a virtual environment with 3D physically-accurate virtual simulations, reducing reliance on costly physical prototypes.
  
• Increased efficiency and throughput: Model and optimize entire operational systems — from supply chains to factory floors — by enabling predictive maintenance and AI-powered quality control to minimize downtime and waste. 
• Agile product configuration and customization: Build an intelligent digital bridge from the customer directly to the factory, enabling automated, configure-to-order manufacturing that translates unique customer requirements into instant instructions for the factory floor. 

Retail: Content and media generation

The constantly changing digital landscape demands a steady stream of fresh, relevant, and high-quality content, increasing costs as retailers struggle to scale their strategies to engage their customers while standing out from the competition. Gen AI is helping to transform content and creation marketing, supporting cost savings while enabling businesses to easily adapt their content for any audience, on any platform. 

AI Bundle: An open media creation platform, built on GKE, that uses Google models (Gemini, Imagen, Veo) and ComfyUI. It enables retailers to create custom media generation workflows, delivering new content at scale and supporting cost efficiency. Together, retailers now have the infrastructure, models, and tools to automatically generate media and content in diverse formats, tailored for specific audience segments and demographics. 

Benefits for retailers: 

• Streamlined product catalog media enrichment: Automatically generate tailored product media for diverse audience segments and demographics — all while maintaining consistent brand messaging.
• Virtual-try-on experiences: Deliver immersive online virtual-try-on and other product placement solutions with a robust platform that helps reduce technical hurdles and training. 
• Accelerated trend-driven content creation: Use gen AI to automate creating dynamic, personalized media and content formats for all channels, such as social media posts, blogs, email, flyers, and video scripts. 
• Rapid seasonal adaptation: Update seasonal product media faster to deliver timely, targeted content that supports engagement

Life sciences: Simulations, predictions, and research

In the life sciences industry, competitive advantage relies on the ability to deal with and manage protracted clinical trials, challenges with efficiency, and regulatory approvals. In addition, drug discovery and protein folding processes are incredibly complex and labor-intensive. While AI holds great potential to help combat these issues, gen AI models lack the necessary scientific reasoning capabilities, agentic workflows are difficult to create, and multimodal AI is needed to consolidate multiple disparate data types.

AI Bundle:  Innovation platform for life sciences, built on Google Cloud AI infrastructure, which includes a wide range of AI-optimized compute options across TPUs, GPUs, and CPUs for training and serving data-intensive models. The platform comes integrated with cutting-edge Google Deepmind innovations, including Alphafold and TxGemma, providing researchers with the latest AI capabilities in areas like protein structure prediction and text-based biological insights. Furthermore, Google Cloud’s AI infrastructure offers access to powerful tools for drug discovery, genomics, and more, including NVIDIA’s BioNeMO Framework, the Medical Open Network for AI (MONAI), and life sciences models and capabilities. 

Benefits for life sciences organizations: 

• Platform experience: Integrate, analyze, and interpret life sciences data within a single, unified platform that provides a powerful, flexible and user-friendly experience. 
  
• Accelerated research and development lifecycle: Provide scientists, researchers and practitioners with a collaborative ecosystem, state-of-the-art tools, and purpose-built life sciences AI solutions to drive discovery.  
  
• Improved operational efficiency: Efficiently and effectively develop and deploy AI models with  AI-optimized infrastructure for high performance computing (HPC) workloads, low cost inference, and large-scale data processing.
  
• Scalability: Tackle the limitations and challenges of on-premises deployments with the same infrastructure powering Google’s own massive AI services to accelerate research cycles and enable deeper insights into vast datasets.
  

Games: Game development

Today, the games industry is experiencing a growing disparity between expenditures and available resources, with development costs climbing by 6% while budgets are only increasing by 5%. Studios face intense pressure to constantly evolve experiences to engage existing players and attract new ones while standing out from the competition. While gen AI is helping to enable faster iteration, more personalized experiences, and more efficient content delivery, many studios remain concerned about the high cost of real-time inference, data security, and intellectual property protection. 

AI Bundle: A comprehensive platform to securely build, deploy, and operate next-generation games. In addition to state-of-the-art AI— including Google, open-source, and third-party models — along with tools for enabling asset generation pipelines, the platform provides purpose-built AI infrastructure on GKE that integrates world-class inference, secure model training and fine-tuning, BigQuery data analytics, and core technologies like Agones for game server orchestration. 

Benefits for game developers: 

• Reduced production costs and timelines: Create game assets efficiently and optimize overhead using gen AI on scalable AI infrastructure. Running real-time inference on GKE also provides better control over high-volume inference costs by allowing developers to pay for compute, not per-query API calls.  
• Dynamic, engaging player experiences: Deploy real-time AI to create intelligent non-player characters (NPCs), personalized narratives, and unique gameplay mechanics which can support player loyalty and new revenue streams.
  
• Faster innovation with unmatched flexibility and control: Build and deploy custom models on a single, secure, scalable platform with the flexibility to use your choice of model— all while maintaining direct control over your pipelines and avoiding vendor lock-in. 
  
• Secure IP and player data: Google believes your data is your data. The data and content generated by a gen AI service is considered customer data and never used to train our models. We provide the tools, but you own the IP and maintain control over your environment, data, and security.

Financial services: High performance compute and AI adoption 

For the financial services industry (FSI), high-quality infrastructure is paramount for competitive advantage. The stakes are immense, especially in the AI era, with McKinsey research estimating that gen AI alone could bring the banking industry as much as $340 billion a year in additional value. However, many financial services organizations are struggling to build and scale the right foundation for AI due to rigid legacy systems, fragmented and inconsistent data, complex regulatory and risk environments, and a lack of specialized expertise.

AI Bundle: An open and secure platform that provides high performance computing (HPC) resources and access to the best of Google AI, including innovations like DeepMind’s TimesFM model for time series forecasting. Bundled together with GKE blueprints, FSI organizations can standardize their research computing platforms and quantitative analysis in a pre-configured, optimized, and secure environment that enables them to rapidly provision, deploy, and scale complex models. 

Benefits for FSI organizations: 

• Cutting-edge quantitative research: Support productivity for quantitative researchers with a platform optimized for running complex and data-heavy simulations, enabling faster experimentation, testing, and validation of models.
  
• Quant analysis: Identify and capitalize on fleeting market opportunities by modeling potential future scenarios using time series models to forecast key risk indicators. 
  
• Accelerated end-to-end modeling: Empower teams to rapidly build, train, and deploy high-quality models at scale for critical functions like underwriting risk classification, granular price modeling, and automated reporting. 

Jumpstart your AI journey today

We’re right at the beginning of what’s possible with AI — and as your business evolves, so should your foundational technology. Google Cloud’s AI Industry Bundles provide a strong starting point to unlock the full potential of AI in your industry by providing tailored, ready-to-go environments that simplify implementation, supercharge innovation, and deliver tangible value. Ready to learn more? Connect with our experts for a personalized consultation.