All news with #product launch tag

🤖 Google’s Gemini 3 has been spotted in AI Studio, suggesting an imminent rollout that could begin within hours or days. The AI Studio entry references how temperature influences reasoning — noting "For Gemini 3, best results at default 1.0. Lower values may impact reasoning" — and highlights controls such as context size and temperature. Earlier sightings on Vertex AI show a preview build named gemini-3-pro-preview-11-2025, while Google is also testing an image model codenamed GEMPIX2 (Nano Banana 2).

📡 Google announced Dhivaru, a new Trans-Indian Ocean subsea cable linking the Maldives, Christmas Island, and Oman, and will build two new connectivity hubs in the Maldives and Christmas Island. The investment builds on the Australia Connect initiative and aims to improve reach, reliability, and resilience across the Indian Ocean, supporting AI services such as Vertex AI. The hubs will provide cable switching, content caching, and colocation to reduce latency, improve availability, and support local ecosystems.

🚀 Amazon Web Services has made EC2 High Memory U7i instances (u7in-24tb.224xlarge) available in the US East (Ohio) region as of Nov 17, 2025. These instances deliver 24 TB of DDR5 memory and 896 vCPUs, and are powered by custom fourth-generation Intel Xeon Scalable processors (Sapphire Rapids). They support up to 100 Gbps EBS, up to 200 Gbps networking with ENA Express, and target mission-critical in-memory databases such as SAP HANA, Oracle, and SQL Server. The offering is intended to help customers scale transaction processing throughput in fast-growing data environments.

🚀 Amazon launched MWAA Serverless, a managed, serverless deployment option for Apache Airflow that eliminates infrastructure management and bills only for actual task compute time. Workflows can be authored as YAML configurations or Python DAGs and leverage over 80 AWS Operators from Airflow v3.0. Each workflow runs in isolation with distinct IAM permissions while the service automatically provisions and scales resources across supported regions.

🚀 AWS has declared Rust support in AWS Lambda Generally Available, promoting the runtime out of its prior experimental status and making it suitable for production workloads. The GA release is backed by AWS Support and the Lambda SLA and is available in all AWS Regions, including GovCloud (US) and China. Rust on Lambda delivers high performance, memory efficiency, and compile-time safety for serverless functions. Developers can now build business-critical serverless applications in Rust while leveraging Lambda's event integrations, fast scaling from zero, automatic patching, and usage-based pricing.

🚀 Starting today, Amazon EC2 F2 instances — the second-generation FPGA-powered instances featuring an FPGA with 16 GB of high-bandwidth memory (HBM) — are available in four additional regions: Europe (Frankfurt), Asia Pacific (Tokyo and Seoul), and Canada (Central). F2 delivers substantial hardware upgrades over F1, including up to 192 vCPUs, 2 TB system memory, 7.6 TiB SSD, and 100 Gbps networking. These instances target genomics, multimedia processing, big data, and network acceleration workloads and can be purchased On-Demand or via Savings Plans.

⚡ AWS announced that high-performance, storage-optimized Amazon EC2 I7i instances are now available in the Asia Pacific (Hyderabad) and Canada (Central) regions. Powered by 5th-gen Intel Xeon Scalable CPUs and 3rd-gen AWS Nitro SSDs, I7i delivers up to 23% better compute and substantial NVMe storage improvements over I4i. Instances support torn-write prevention, real-time NVMe performance statistics, and sizes up to 48xlarge plus bare metal options.

🚀 Amazon EC2 M8a instances are now available in US East (N. Virginia) and Asia Pacific (Tokyo). Powered by 5th Gen AMD EPYC processors (code-named Turin) with up to 4.5 GHz, M8a delivers up to 30% higher performance, up to 19% better price-performance versus M7a, and 45% more memory bandwidth. They show workload gains up to 60% for GroovyJVM and 39% for Cassandra, are SAP-certified, come in 12 sizes including two bare-metal options, and run on sixth-generation AWS Nitro Cards. Customers can purchase M8a via Savings Plans, On‑Demand, or Spot.

🚀 Google Cloud announces general availability of the N4D machine series built on 5th Gen AMD EPYC 'Turin' processors and Google's Titanium infrastructure. N4D targets cost-optimized, general-purpose workloads — web and app servers, data analytics, and containerized microservices — with up to 96 vCPUs, 768 GB DDR5, 50 Gbps networking, and Hyperdisk storage. Google cites up to 3.5x web-serving throughput versus N2D and material price-performance gains for general compute and Java workloads.

🐍 Cloudflare has announced Python Workflows in beta, enabling developers to orchestrate multi-step, durable applications on Workers using Python. The feature aims for feature parity with the existing JavaScript SDK while adapting APIs to Pythonic idioms—using decorators for step callbacks and snake_case naming for method calls. Under the hood it leverages Pyodide and CPython in the runtime, exposes WorkflowStep as an RPC-backed JsProxy for at-most-once durable execution, and supports DAG-style concurrency via asyncio.gather. Targeted use cases include data pipelines, ML/LLM training loops, and autonomous agents where step-level retries, state persistence, and explicit wait points simplify orchestration.

🤖 OpenAI is preparing to roll out the GPT-5.1 family — GPT-5.1 (base), GPT-5.1 Reasoning, and subscription-based GPT-5.1 Pro — to the public in the coming weeks, with models also expected on Azure. The update emphasizes faster performance and strengthened health-related guardrails rather than a major capability leap. OpenAI also launched a compact Codex variant, GPT-5-Codex-Mini, to extend usage limits and reduce costs for high-volume users.

🚀 Deploy the official n8n Docker image to Cloud Run in minutes to run scalable, serverless AI workflows. Cloud Run scales from zero and persists data in Cloud SQL while you only pay for active usage. The post shows how to call Gemini as the agent LLM and optionally connect workflows to Google Workspace via OAuth for Gmail, Calendar, and Drive. For production, follow the n8n docs to add Secrets Manager, Cloud SQL, and Terraform-based deployment.

🔐 Cloudflare unveiled a self‑serve BYOIP API enabling customers to onboard and manage their own IP prefixes via automated workflows. The new flow replaces manual LOA reviews with a two-step validation that uses RPKI ROAs plus either IRR route-object modification or a reverse DNS validation token. Cloudflare will auto-generate LOA-style documentation for operators that still require it and enforces a default service binding to prevent accidental prefix blackholing. The initial rollout supports prefixes originated from AS13335 and is designed to shorten deployment timelines while strengthening routing security.

🤖 Google appears set to release two new models: Gemini 3 Pro, optimized for coding and general use, and Nano Banana 2 (codenamed GEMPIX2), focused on realistic image generation. Gemini 3 Pro was listed on Vertex AI as "gemini-3-pro-preview-11-2025" and is expected to begin rolling out in November with a reported 1 million token context window. Nano Banana 2 was also spotted on the Gemini site and could ship as early as December 2025.

🚀 AWS announces that AWS B2B Data Interchange is now available in the AWS Europe (Ireland) Region, enabling customers to build scalable, cost-efficient EDI workloads locally. The service automates validation, transformation, and generation of EDI files such as ANSI X12, converting to and from JSON and XML to support modern integrations. The regional launch also brings the generative AI mapping capability to Ireland, simplifying mapping code development and accelerating trading partner onboarding.

🚀 Amazon Keyspaces (for Apache Cassandra) is now available in the Middle East (UAE) Region, enabling customers to run Cassandra-compatible applications with lower latency and keep data within the Region to meet data residency requirements. The fully managed, serverless service supports point-in-time recovery, Multi-Region replication, CDC streams, and IPv6, allowing teams to scale without operating Cassandra clusters. Customers pay only for resources used and can use familiar CQL to build high-throughput applications.

🚀 Cloudflare has open-sourced tokio-quiche, an async QUIC library that combines its quiche transport implementation with the Tokio async runtime. The project provides a battle-tested integration for async UDP I/O and HTTP/3, delivering low-latency, high-throughput handling of millions of requests per second without requiring developers to wire a sans-io stack. tokio-quiche includes an HTTP/3-focused driver, examples, and abstractions such as ApplicationOverQuic so teams can build clients and servers more quickly. It already powers Cloudflare Proxy B in Apple iCloud Private Relay, Oxy-based proxies, and Warp’s MASQUE client, and aims to accelerate broader adoption of HTTP/3 and QUIC.

🚀 Google Cloud announced general availability of Ironwood, its seventh-generation TPU, alongside a new family of Arm-based Axion VMs. Ironwood is optimized for large-scale training, reinforcement learning, and high-volume, low-latency inference, with claims of 10x peak performance over TPU v5p and multi-fold efficiency gains versus TPU v6e (Trillium). The architecture supports superpods up to 9,216 chips, 9.6 Tb/s inter‑chip interconnect, up to 1.77 PB shared HBM, and Optical Circuit Switching for dynamic fabric routing. Complementary software and orchestration updates — including Cluster Director, MaxText improvements, vLLM support, and GKE Inference Gateway — aim to reduce time-to-first-token and serving costs, while Axion N4A/C4A instances provide ARM-based CPU options for cost-sensitive inference and data-prep workloads.

🔧 Google Cloud is introducing C4A metal, a bare-metal instance class powered by its Arm-based Axion processors, entering preview soon. Designed for workloads that require direct hardware access and Arm-native compatibility, C4A metal delivers 96 vCPUs, 768 GB DDR5 memory, up to 100 Gbps networking, and support for Google Cloud Hyperdisk variants. C4A metal targets Android development, automotive simulation, CI/CD, security workloads, and custom hypervisors by eliminating nested virtualization overhead and preserving Arm instruction-set parity.

🚀 Google Cloud has introduced the Axion-based N4A VM series in preview, positioned as the most cost-effective N-series to date with up to 2× better price-performance and 80% better performance-per-watt versus comparable x86 VMs. Available on Compute Engine, GKE, Dataproc and Batch, N4A supports up to 64 vCPUs, 512 GB DDR5, 50 Gbps networking, Custom Machine Types and new Hyperdisk storage profiles (Balanced, Throughput, ML). Early customers report substantial cost and performance gains.