All news with #product launch tag

🤖 Google Cloud Next '26 in Las Vegas showcased a broad enterprise push into the agentic era, with over 32,000 attendees and 260 product, partner, and customer announcements. Highlights include the new Gemini Enterprise Agent Platform, the Gemini Enterprise app, 8th-generation TPUs, and a host of agent-focused capabilities for development, runtime, memory, observability, and governance. The week emphasized production readiness, cross-cloud data integration, and strengthened security through the Wiz acquisition and Model Armor integrations.

🚀 AWS has added High Memory U7i instances in new regions, bringing the u7i-8tb.112xlarge to Europe (Stockholm, Zurich), the u7in-16tb.224xlarge to US East (Ohio), and the u7in-24tb.224xlarge to Europe (Stockholm). These 7th-generation instances are powered by custom 4th-generation Intel Xeon Scalable processors (Sapphire Rapids) and DDR5 memory, offering 8, 16, and 24 TiB options with 448 or 896 vCPUs. They deliver high EBS and network throughput (up to 100 Gbps EBS; up to 100–200 Gbps network) and include ENA Express, making them well suited for mission-critical in-memory databases such as SAP HANA, Oracle, and SQL Server.

🚀 GPT-5.5 is being made generally available in Microsoft Foundry, enabling enterprises to run OpenAI's latest frontier model for production agentic workflows. The model brings deeper long-context reasoning, improved agentic execution, higher computer-use accuracy, and better token efficiency. Foundry supplies governance, identity isolation, persistent sandboxes, and integrations to evaluate and scale agents securely.

🔗 Amazon Athena now provides managed connectors for 12 external data sources, including DynamoDB, PostgreSQL, MySQL, and Snowflake, enabling queries against data outside Amazon S3 without deploying connector infrastructure. Athena creates and manages AWS Glue Data Catalog federated connectors on your behalf and registers each source as a federated catalog. You can query those sources alongside S3 data and optionally apply fine‑grained access controls through AWS Lake Formation. Federated queries are available in all standard AWS Regions except AWS GovCloud (US) and China Regions.

🚀 Amazon SageMaker Unified Studio now supports serverless notebooks and a built-in data agent for AWS IAM Identity Center (IdC) domains, extending functionality that was previously available only in IAM domains. The serverless notebook provides a single interactive workspace for SQL, Python, large-scale data processing, ML workloads, and visualizations. A built-in AI data agent generates code and SQL from natural-language prompts and helps guide users through tasks. The environment is backed by Amazon Athena for Apache Spark, scaling from interactive queries to petabyte-scale processing, and is available in all Regions where Unified Studio is supported.

🔧 Amazon has released the aws-smus-cicd-cli, an open-source command-line tool that automates deployment of multi-service data and AI applications built in SageMaker Unified Studio. Teams define applications once in an manifest.yaml, and the CLI substitutes stage-specific settings, provisions resources in dependency order, and runs post-deployment tests. Four lifecycle commands — describe, bundle, deploy, test — integrate with existing CI/CD pipelines to reduce configuration drift and speed releases. The CLI is available at no additional cost in supported Regions; you pay only for the AWS resources provisioned during deployment.

📊 AWS has launched the Attributed Revenue dashboard in AWS Partner Central, providing Partners a self-service view of monthly attributed revenue by product, AWS service, and billing period. The dashboard consolidates data from the three Partner Revenue Measurement methods — Resource Tagging, User Agent string, and AWS Marketplace Metering — so Partners can monitor consumption patterns and revenue trends. Partners with multiple AWS Marketplace seller accounts can connect subsidiary accounts to see aggregated revenue across all connected accounts, and the dashboard is available in all commercial regions for Partners migrated to AWS Partner Central.

🚀 Amazon Web Services has launched EC2 X8g instances in the Europe (Ireland) region. Powered by AWS Graviton4 processors, X8g delivers up to 60% better performance than Graviton2-based X2gd instances and supports up to 3 TiB of memory with an increased memory-per-vCPU ratio. These instances target memory-intensive workloads — including EDA, in-memory caches, relational databases, real-time analytics, and memory-heavy containerized applications — and provide enhanced networking, high EBS bandwidth, and EFA/ENA support on larger sizes.

🤖 At Google Cloud Next day 2, the developer keynote focused on the Gemini Enterprise Agent Platform, demonstrating tools to build, simulate, evaluate, and scale autonomous agents. Presentations covered the Agent Development Kit (ADK), Model Context Protocol (MCP) servers, Agent Runtime, Memory Bank, Agent Registry, A2UI/A2A standards, and debugging with Gemini Cloud Assist. Speakers also addressed security and governance with Agent Identity, Agent Gateway, and partner demos from Wiz, and released source code and codelabs to help teams adopt agentic development.

🚀 At Google Cloud Next ’26, Google presented a unified stack to move AI into enterprise production, anchored by Gemini Enterprise as the connective tissue between data, people, and goals. Key launches include the Gemini Enterprise Agent Platform for building, scaling, governing, and optimizing agents, and the AI Hypercomputer with next-generation TPU 8 chips. Google also outlined the Agentic Data Cloud to ground agents in enterprise context, expanded security agents in Agentic Defense, Workspace Intelligence enhancements, and cross-cloud data capabilities to accelerate real-world deployment.

🚀 Google Cloud has integrated partner-built agents from its Agent Marketplace into the Agent Gallery inside the Gemini Enterprise app, creating a centrally governed hub for discovering and managing specialist, role-specific AI. Featured partners — including Accenture, Adobe, Atlassian, Palo Alto Networks, Salesforce and others — must pass a four-step evaluation to earn the Google Cloud Ready - Gemini Enterprise badge. Built-in safeguards such as cryptographic agent identities, Agent Gateway, and Model Armor protect data and prevent use for model training. Customers can trial the Gallery, while partners can apply to the AI Agents Program and access a rapid deployment framework.

🚀 Amazon has launched EC2 C8i-flex instances in Europe (Ireland, London) and Asia Pacific (New Zealand). Powered by custom Intel Xeon 6 processors exclusive to AWS, C8i-flex deliver up to 15% better price-performance and 2.5x the memory bandwidth versus prior Intel-based instances, and up to 20% higher throughput than C7i-flex. AWS reports workload-specific gains — up to 60% faster NGINX, 40% for deep learning recommendation models, and 35% for Memcached — and offers sizes from large to 16xlarge purchasable via Savings Plans, On-Demand, and Spot.

⚡ Starting today, Amazon EC2 C8i instances are available in Europe (Ireland) and Asia Pacific (New Zealand). Powered by AWS-exclusive custom Intel Xeon 6 processors, C8i delivers up to 15% better price-performance and 2.5x the memory bandwidth versus previous Intel-based instances, and up to 20% higher performance than C7i. AWS reports workload-specific gains — up to 60% faster for NGINX, 40% for deep learning recommendation models, and 35% for Memcached. The family includes 13 sizes (two bare metal and a new 96xlarge) and can be purchased via Savings Plans, On-Demand, or Spot.

🔬 Microsoft Discovery is an extensible platform that brings agentic orchestration, advanced reasoning, a graph-based knowledge foundation, and high-performance computing to enterprise R&D. It equips specialized agents to reason across proprietary data and external literature, generate hypotheses, and validate them through simulation and lab integrations under centralized governance. Built on Azure, the platform emphasizes security, compliance, partner interoperability, and enterprise-grade controls while remaining in preview.

🚀 Startups are accelerating agentic AI on Google Cloud, using an integrated AI stack—from models and specialized TPU/GPU compute to cross-cloud lakehouses and security—to move prototypes into production across healthcare, finance, gaming, and media. Companies like Lovable and OpenEvidence illustrate real-world adoption, while Gemini Enterprise Agent Platform, NVIDIA GPU access via the AI Hypercomputer, and Marketplace integrations aim to reduce procurement friction and speed commercialization. Google also announced a $750M partner fund and developer programs to support startups.

🚀 Gemini Enterprise is an end-to-end system for the agentic era, combining access to frontier models, a developer platform, a collaborative app, and a partner ecosystem to build and deploy agent fleets. The offering centers on the Gemini Enterprise Agent Platform — an evolution of Vertex AI — with an enhanced Agent Development Kit (ADK), graph-based orchestration, persistent Memory Bank, and fast Agent Runtime for multi-step work. IT teams gain a unified control plane for identity, governance, Model Armor, and auditing, while knowledge workers use a no-code Agent Designer, Inbox, Projects, and Canvas to create and monitor agents.

🚀 Azure Accelerate for Databases is a Microsoft program that helps organizations modernize database estates to become AI-ready. It bundles a Savings Plan (up to 35% vs. pay-as-you-go), delivery funding, Azure credits, zero-cost Cloud Accelerate Factory support, partner services, AI-enhanced assessments, and role-based skilling. The offering aims to reduce friction and speed migrations at scale. Microsoft highlights Thomson Reuters’ migration of over 18,000 databases as a customer example.

🔧 Amazon SageMaker AI now provides inference recommendations that automate optimization and benchmarking to deliver validated, deployment-ready configurations. Customers supply their own generative models, define expected traffic patterns, and set a performance objective — optimize for cost, minimize latency, or maximize throughput. SageMaker analyzes model architecture, benchmarks across multiple instance types using NVIDIA AIPerf, and returns metrics such as time to first token, inter-token latency, request latency percentiles, throughput, and cost projections. The capability is available today in seven AWS Regions.

🔔 AWS has added five new Qwen foundation models to SageMaker JumpStart, including Qwen3-Coder-Next, Qwen3-30B-A3B, Qwen3-30B-A3B-Thinking-2507, Qwen3-Coder-30B-A3B-Instruct, and Qwen3.5-4B. The models support agentic coding, extended reasoning, multimodal and multilingual workloads, and lightweight deployments. Customers can deploy them from SageMaker Studio or via the SageMaker Python SDK to accelerate development of coding agents and multimodal applications.

🚀 Google Public Sector is launching coordinated initiatives to help partners build, certify, and bring AI solutions to government customers faster. The program includes a federal startup accelerator in collaboration with NVIDIA for AI-focused ISVs, an expanded ISV ATO Accelerator offering up to $1M in funding, and a new Distributor Channel Private Offer with Carahsoft. These efforts target procurement, compliance, and legacy environment barriers to speed deployment of mission-critical AI.