Catch the highlights summary Google Cloud Announced at Next '25 below:

⭐ New and Enhanced AI Models (Vertex AI Model Garden)

• Gemini 2.5 Pro – High-performance model for deep reasoning and coding (now in public preview).
• Gemini 2.5 Flash – Low-latency, cost-efficient model (coming soon).
• Imagen 3 – Best text-to-image model with advanced inpainting.
• Chirp 3 – Audio model with Instant Custom Voice (10-second input).
• Lyria – First enterprise-ready text-to-music model.
• Veo 2 – Enhanced video generation with editing and camera control.
• Llama 4 (Meta) – Now available on Vertex AI.
• AI2 Models – Open models from AI2 now in the Model Garden.

Vertex AI is now the only hyperscaler with generative models across video, image, speech, and music.

⭐ Tools for Model Management

• Vertex AI Dashboards – Monitor usage, latency, and errors.
• Model Customization – Fine-tune first- and third-party models securely.
• Model Optimizer – Balances quality vs. cost for responses.
• Live API – Enables real-time audio/video input for Gemini.
• Global Endpoint – Ensures responsiveness with regional load balancing.

⭐ Multi-Agent Systems Enhancements

• Agent Development Kit (ADK) – Open-source framework to build agent systems using Model Context Protocol (MCP).
• Agent2Agent Protocol (A2A) – Open standard for agent communication across platforms.
• Agent Garden – Pre-built agent samples to speed up development.
• Agent Engine – Fully managed runtime for production deployment.
• Google Maps Grounding – Adds geospatial awareness to agents.
• Customer Engagement Suite – Emotion-aware agents, real-time video understanding, no-code agent builder.

⭐ Enterprise AI with Agentspace

• Chrome Enterprise Integration – AI agents embedded in employee workflows.
• Agent Gallery – Central hub for discovering enterprise agents.
• Agent Designer – No-code tool to create task-based agents.
• Idea Generation Agent – Autonomous ideation and evaluation.
• Deep Research Agent – Synthesizes complex topics into reports.

⭐ Scientific & Research Applications

• AlphaFold 3 – Protein folding at scale using Google Cloud.
• WeatherNext Models – High-speed, accurate weather forecasting now available in Model Garden.

⭐ Next-Gen AI Hardware & Runtime

• TPU v5p “Ironwood” – 7th-gen TPU coming in 2025, designed to efficiently power large inferential AI models.
• Google Distributed Cloud + NVIDIA Blackwell – Gemini can now run locally in connected and air-gapped environments with support from Dell and NVIDIA.
• Pathways on Cloud – Google DeepMind’s distributed AI runtime (used internally at Google) is now available on Google Cloud.

⭐ Optimized Inference & Serving

• vLLM on TPU – PyTorch-based models using vLLM can now run on TPUs without code changes, supporting mixed TPU/GPU serving.
• Dynamic Workload Scheduler – Adds support for Trillium, TPU v5e, NVIDIA B200 (A4), and H200 (A3 Ultra) via Flex Start mode; Calendar mode for TPUs coming soon.

⭐ Expanded GPU Offerings

• A4 & A4X VMs – Powered by NVIDIA B200 and GB200 Blackwell GPUs; A4X in preview. Google Cloud is the first to offer both.
• NVIDIA Vera Rubin GPUs – Coming soon, enabling up to 15 exaflops of FP4 inference performance per rack.

⭐ Accelerator Management at Scale

• Cluster Director – Manages accelerator clusters with colocated VMs and topology-aware scheduling. Upcoming updates:
  • Slurm integration
  • Advanced observability (3600)
  • Job continuity features
  • Join preview for early access

⭐ Application Development Enhancements

• Design & Management Tools
  • Application Design Center (preview): Visual, collaborative canvas to design and deploy apps with inline code.
  • Cloud Hub (preview): Central dashboard for app landscape insights, health, optimization, and support.
  • App Hub: Now integrated with 20+ GCP products for app-centric visibility.
  • Application Monitoring (preview): Auto-tags telemetry and enables app-aware alerts and dashboards.
  • Cost Explorer (private preview): Granular visibility into app costs and usage efficiency.
  • Gemini-Powered Developer Tools

• Gemini Code Assist: Helps with dev tasks (migration, testing, docs) and integrates with Android Studio, Atlassian, Sentry, Snyk.
• App Prototyping Agent: Converts app ideas into working prototypes (UI + backend) in Firebase Studio.
• Gemini Cloud Assist: Embedded across design and operations tools (e.g., Observability, FinOps Hub, Security) to enhance infra design, troubleshooting, and cost optimization.
• Developer Programs
• Google Developer Program: Offers AI-assisted tools across all tiers. Premium ($75/month/seat) for enterprise teams is now in preview.

⭐ Compute Innovations

• General-Purpose Compute
• C4D & C4 VMs: High-performance VMs powered by AMD (C4D) and Intel (C4), with up to 288 vCPUs, DDR5 memory, Local SSD, and bare metal options.
• Specialized Compute
• H4D VMs (preview): HPC-optimized, delivering record-breaking per-core and memory bandwidth performance.
• M4 VMs: Optimized for SAP HANA with 65% better price-performance over M3.
• Z3 VMs (preview): Storage-optimized, up to 72TB Titanium SSDs with bare metal access.
• Hybrid & Integrated Compute
• Nutanix NC2 on GCP: Hybrid cloud platform now in public preview.
• Google Cloud VMware Engine: Now supports 26 node shapes.
• Infrastructure Upgrades
• Titanium ML Adapter: Enhanced NIC integration for 3.2 Tbps GPU bandwidth.
• Titanium Offload Processors: Connect GPU clusters to Jupiter fabric for scalable compute.
• Managed Instance Groups (MIGs): Now manageable as a unit and support CUDs/reservation sharing with Vertex AI.

⭐ AI-Enhanced & Natural Language Capabilities

• AlloyDB AI Upgrades:
  • Natural language querying, vector search via ScaNN, and cross-attention reranking.
  • New AI models: multimodal embeddings (text, images, video), Gemini Embeddings.
  • Agentspace integration enables structured data search with AI agents.
  • The new AI query engine supports natural language in SQL queries.

• MCP Toolbox:
  • Connects AI agents to enterprise databases using Model Context Protocol.

⭐ Database Compatibility & Migration

• Firestore + MongoDB:
  • MongoDB API compatibility with Firestore’s global scale and low latency.
• Oracle on Google Cloud:
  • Base Database Service and Exadata X11M (GA), now with CMEK support.
• Database Migration Service (DMS):
  • Now supports SQL Server → PostgreSQL (Cloud SQL & AlloyDB).

⭐ Performance, Availability & Management

• Cloud SQL & AlloyDB on Axion (C4A): Uses Arm-based processors for better price-performance.
• Database Center: GA release — unified, AI-powered database fleet management.
• Spanner Updates: Vector search (GA), graph visualization (GA), Repeatable Read isolation (preview), MySQL migration tools.
• Aiven for AlloyDB Omni: Fully managed AlloyDB Omni across AWS, Azure, and GCP (GA).

⭐ Bigtable, Memorystore & Firebase

• Bigtable: Continuous materialized views (preview), Cassandra-compatible APIs & migration tools.
• Memorystore for Valkey: Now GA, supports versions 7.2 & 8.0.
• Firebase Data Connect: GA release — combines PostgreSQL’s reliability with GraphQL APIs and type-safe SDKs.

⭐ BigQuery Platform Innovations

• Data Pipelines & Preparation:
  • GA: Pipelines, Data preparation, Contribution analysis, Pipe syntax, Semantic search.
    
    
• Data Quality & Detection:
  • Preview: Anomaly detection, Knowledge engine powered by Gemini.
    
    
• AI-Powered Enhancements:
  
  
  • GA/Preview:
    • Natural language & real-world context querying via Gemini.
    • Intelligent SQL cells, scheduled analysis, native viz.
    • AI.GENERATE_TABLE, vector search index (ScaNN), TimesFM forecasting model.
    • Multimodal tables with ObjectRef type.
      
      
• Governance & Cataloging:
  
  
  • GA: Business glossary, Metastore, Universal catalog, Catalog metadata export, BigLake cataloging, Disaster recovery.
  • Preview: Governance console, Iceberg table support.
    
    
• Workload & Cost Management:
  
  
  • GA: Advanced workload mgmt, Spend commit model.
  • Preview: Fair slot sharing and better billing attribution.

⭐ AI & Natural Language for Analysts & Scientists

• Colab Notebook Integration:
  • Data science agent, intelligent SQL cells, native EDA, and AI code assist in DataFrames.
    
    
• LLM & Model Integration:
  • Supports Anthropic Claude, Llama, Mistral in BigQuery ML.
  • TimesFM model, real-time Kafka pipelines, serverless Spark.
    
    
• Location & Geospatial:
  • Google Maps datasets + Earth Engine data now in BigQuery.

⭐ Looker Platform Updates

• Conversational & AI Tools:
  • Preview: Conversational Analytics (129), API (130), Code Interpreter.
  • GA: Gemini features like formula/visualization assistants, slide generation.
    
    
• Reporting Enhancements:
  • New drag-and-drop reports with real-time collaboration.

• DevOps for BI:
  • SQL/LookML testing automation via Spectacles.dev.

⭐ Partner Ecosystem & Integrations

• Notable Partner Launches:
  
  
  • GrowthLoop: AI-driven marketing journeys.
  • Informatica: Expanded governance/AI capabilities.
  • Fivetran: Managed Data Lake Service with Iceberg/Delta.
  • DBT: Integrated with BigQuery DataFrames & hosted on GCP.
  • Datadog: Expanded BigQuery monitoring.

⭐ Firebase Updates

• Firebase Studio (Preview):
  A Gemini-powered, all-in-one cloud development environment for building full-stack AI apps. Includes Gemini Code Assist agents.
• Genkit Framework:
  Open-source AI framework now supports Python and Go. Firebase Studio includes templates to start building with it.
• Vertex AI in Firebase:
  Now supports Gemini Live API for conversational, multimodal app interactions (e.g., audio Q&A).
• Firebase Data Connect (GA):
  Production-ready PostgreSQL backend with GraphQL APIs and type-safe SDKs.
• Firebase App Hosting (GA):
  Git-centric hosting for full-stack web apps.
• App Testing Agent (Preview):
  Automatically generates and runs end-to-end tests in Firebase App Distribution to prep mobile apps for release.

⭐ Google Cloud Consulting

• Agentspace Accelerator:
  Prebuilt service to help integrate AI-powered search across organizational data.
• Optimize with TPUs:
  Helps migrate workloads to Google’s Tensor Processing Units for AI performance gains.
• Oracle on Google Cloud:
  Combines Oracle databases with Google Cloud’s AI & infra for improved performance.
• Delivery Navigator (Preview):
  Expanded to customers and partners—offering best practices and proven delivery methods for cloud implementations.

⭐ Network Infrastructure & Performance

• Cloud WAN (GA):
  Cross-Cloud Network backbone with 40% better performance and TCO savings.
• 400G Interconnect (Coming Soon):
  4x bandwidth boost for Cloud and Cross-Cloud Interconnects.
• 30,000 GPU Support (Preview):
  Enables massive AI clusters with non-blocking GPU configurations.
• High-Performance RDMA Networking (GA):
  Up to 3.2 Tbps GPU-to-GPU bandwidth with RDMA (186), and Zero-Trust RDMA security coming later in the year.

⭐ AI-Optimized Networking & Load Balancing

• LLM Inference Optimizations:
  Cloud Load Balancing now supports AI/LLM workloads across clouds/on-prem.
• Inference Gateway & AI Security Integrations:
  Combine with tools like Model Armor, NeMo Guardrails, and Palo Alto via Service Extensions.
• WebAssembly-based Service Extensions (GA):
  Plugin system now in Cloud Load Balancing; Cloud CDN support coming soon.

⭐ Content Delivery & Performance Enhancements

• Cloud CDN Fast Cache Invalidation & TLS 1.3 0-RTT (Preview):
  Faster content delivery and quicker resumed connections.

⭐ Service Management & Discovery

• App Hub:
  Streamlined service discovery, with cross-regional failover coming soon.
• Private Service Connect for GKE (Coming 2025):
  Publish multiple services in a single GKE cluster for broader access.

⭐ Security Enhancements

• DNS Armor (Preview): Detects advanced DNS-based attacks like tunneling and DGAs.
• Cloud Armor Hierarchical Policies: Granular protection enforcement.
• Cloud NGFW Updates: New network types and firewall tags, plus Layer 7 domain filtering coming 2025.
• Inline Network DLP (Preview): Real-time protection using third-party DLP (Symantec) via Secure Web Proxy and Load Balancer.
• Network Security Integration (GA): Consistent hybrid/multi-cloud security policies without routing changes.
• Imperva App Security: Now integrated with Cloud Load Balancing via Marketplace.

⭐ Security Innovations

• Unified Security: A single platform combining threat detection, AI-driven security ops, Mandiant expertise, and more.
• Security Agents:
  • Alert Triage Agent: Automates alert investigation and decision-making.
    Malware Analysis Agent: Uses Code Insight to detect and analyze malicious code.
• Google Security Operations: Enhanced data pipeline management for scale, cost, and compliance.
• Cyber Insurance Expansion: Risk Protection Program now includes Beazley and Chubb.
• Phishing Protection: Chrome Enterprise Premium uses Safe Browsing to defend against credential theft.
• Mandiant Enhancements:
  • Retainer: On-demand access to Mandiant’s services using prepaid credits.
  • Partnerships: New recovery solution with Rubrik and Cohesity for cyberattack resilience.

⭐ Storage Innovations

• Hyperdisk:
  • Storage Pools: Now supports up to 5 PiB.
  • Exapools: Industry-leading block storage at exabyte scale.
  • ML: Integrates with GKE for fast data hydration.
• Rapid Storage: Ultra-low latency cloud storage with 6 TB/s throughput and 20x faster data access.
• Anywhere Cache: Reduces latency up to 70% by caching data near GPUs/TPUs.
• Managed Lustre: High-performance file system with <1ms latency and massive throughput for AI.
• Storage Intelligence: Uses LLMs to query metadata and provide actionable insights into data estates.

⭐ Startups

• Lightspeed VC Partnership: Lightspeed-backed startups get up to $150K in Google Cloud credits.
• Startup Perks Program: Early-stage startups get benefits from partners like Datadog, GitLab, NVIDIA, and more.
• Vertex AI Credits: Additional $10K credits for using partner foundation models (e.g., Anthropic, Meta).

⭐ Google Workspace: AI-Powered Productivity

• Help me Analyze: A feature in Google Sheets that automatically identifies insights from data, helping users make data-driven decisions.
• Docs Audio Overview: Converts Google Docs into human-like audio summaries or podcast-style overviews of documents.
• Workspace Flows: Automates daily tasks like managing approvals, organizing emails, researching customers, and summarizing agendas.

⭐Additional Launches

• Cloud Run Updates:
  • Cloud Run GPUs: Now generally available.
  • High Availability Apps: Public preview of multi-region deployment.
  • Kafka Consumer Worker Pools: Private preview for pull-based workloads.
    
    
• SaaS Runtime: A lifecycle management service for building, deploying, and operating AI-infused SaaS services at scale.