Tag: Internet

Starting today, the Amazon EC2 G6e instances powered by NVIDIA L40S Tensor Core GPUs is now available in Middle East (UAE) Region. G6e instances can be used for a wide range of machine learning and spatial computing use cases. Customers can use G6e instances to deploy large language models (LLMs) and diffusion models for generating images, video, and audio. Additionally, the G6e instances will unlock customers’ ability to create larger, more immersive 3D simulations and digital twins for spatial computing workloads. G6e instances feature up to 8 NVIDIA L40S Tensor Core GPUs with 48 GB of memory per GPU and third generation AMD EPYC processors. They also support up to 192 vCPUs, up to 400 Gbps of network bandwidth, up to 1.536 TB of system memory, and up to 7.6 TB of local NVMe SSD storage.  Amazon EC2 G6e instances are available today in the AWS US East (N. Virginia, Ohio), US West (Oregon), Asia Pacific (Tokyo, Seoul), Middle East (UAE) and Europe (Frankfurt

AWS Builder ID, your profile for accessing AWS applications including AWS Builder Center, AWS Training and Certification, AWS re:Post, AWS Startups, and Kiro, now supports Sign in with Apple as a social login provider. This expansion of sign-in options builds on the existing Sign in with Google capability, providing Apple users with a streamlined way to access AWS resources without managing separate credentials on AWS. With Sign in with Apple integration, developers and builders can now enjoy access to their AWS Builder ID profile using their Apple Account credentials. This enhancement eliminates password management complexity, reduces f

Today, Amazon WorkSpaces announces the availability of 12 new Graphics G6, Gr6, and G6f WorkSpaces bundles built on the Amazon EC2 G6 family. These bundles expand customers’ options for running graphics-intensive and GPU-accelerated workloads, and are available on both Amazon WorkSpaces Personal and Amazon WorkSpaces Core. The new bundles are designed to support a wide range of performance, memory, and cost requirements: G6 bundles include five sizes with 1:4 vCPU-to-memory configurations, suitable for graphic design, CAD/CAM, and ML model training workloads. Gr6 bundles include two sizes with memory-optimized 1:8 vCPU-to-memory configurations, designed for higher-memory workloads such as 3D rendering, seismic visualization, and GIS processing. G6f bundles include five sizes and offer fractional GPU options (1/8, 1/4, and 1/2 GPU), enabling cost-effective access to GPU ac

AWS is announcing Amazon EC2 I7ie instances are now available in AWS Canada (Central) regions. Designed for large storage I/O intensive workloads, I7ie instances are powered by 5th Gen Intel Xeon Processors with an all-core turbo frequency of 3.2 GHz, offering up to 40% better compute performance and 20% better price performance over existing I3en instances. I7ie instances offer up to 120TB local NVMe storage density (highest in the cloud) for storage optimized instances and offer up to twice as many vCPUs and memory compared to prior generation instances. Powered by 3rd generation AWS Nitro SSDs, I7ie instances deliver up to 65% better real-time storage performance, up to 50% lower storage I/O latency, and 65% lower storage I/O latency variability compared to I3en instances. I7ie are high density storage optimized instances, ideal for workloads requiring fast local storage with high random read/write performance at very low latency consistency to access large data sets. Th

Amazon Web Services (AWS) is announcing the general availability of cross-account sharing for Amazon EC2 Capacity Blocks for ML. This capability allows organizations to share reserved GPU capacity across AWS accounts using AWS Resource Access Manager (RAM), helping optimize utilization and reduce costs. Organizations can now purchase Capacity Blocks and provision them across multiple accounts, allowing different workloads to access a pool of reserved capacity at no additional cost. This capability helps teams coordinate ML infrastructure investments and keeps reserved GPU capacity in continuous use across different workloads. This feature is available for all Instance Capacity Blocks in AWS Regions where EC2 Capacity Blocks for ML are offered. For a complete list of supported regions, refer to Capacity Blocks Supported Regions documentation. 

Amazon EC2 High Memory U7i instances with 6TB of memory (u7i-6tb.112xlarge) are now available in AWS GovCloud (US-West). U7i instances are part of AWS 7th generation and are powered by custom fourth generation Intel Xeon Scalable Processors (Sapphire Rapids). U7i-6tb instances offer 6TiB of DDR5 memory, enabling customers to scale transaction processing throughput in a fast-growing data environment. U7i-6tb instances offer 448 vCPUs, support up to 100Gbps Elastic Block Storage (EBS) for faster data loading and backups, deliver up to 100Gbps of network bandwidth, and support ENA Express. U7i instances are ideal for customers using mission-critical in-memory databases like SAP HANA, Oracle, and SQL Server. To learn more about U7i instances, visit the High Memory instances page.

Starting today, Amazon Bedrock supports Claude Opus 4.6. According to Anthropic, Opus 4.6 is their most intelligent model and the world's best model for coding, enterprise agents, and professional work. Claude Opus 4.6 brings advanced capabilities to Amazon Bedrock customers, including industry-leading performance for agentic tasks, complex coding projects, and enterprise-grade workflows that require deep reasoning and reliability. Claude Opus 4.6 excels across use cases that require sophisticated reasoning and multi-step orchestration. For agentic workflows, it manages complex tasks across dozens of tools with industry-leading reliability, proactively spinning up subagents and working with less oversight. Developers can leverage Opus 4.6’s coding capabilities for long-horizon projects, complex implementations, and large-scale codebases—handling the full lifecycle from requirements gathering to implementation and maintenance. Enterprise teams can use the model to power

AWS Batch now extends its job scheduling capabilities to unmanaged compute environments on Amazon EKS. With unmanaged EKS compute environments, you can leverage AWS Batch's job orchestration while maintaining full control over your Kubernetes infrastructure for security, compliance, or operational requirements. With this capability, you can create unmanaged compute environments through CreateComputeEnvironment API and AWS Batch console by selecting your existing EKS cluster and specifying a Kubernetes namespace, then associate your EKS nodes with the compute environment using kubectl labeling. AWS Batch supports developers, scientists, and engineers in running efficient batch processing for ML model training, simulations, and analysis at any scale. Unmanaged compute environments on Amazon EKS are available today in all AWS regions where AWS Batch is available. For

Cartesia’s Sonic 3 model is now available in Amazon SageMaker JumpStart, expanding the portfolio of foundation models available to AWS customers. Sonic 3 is Cartesia's latest state space model (SSM) for streaming text-to-speech (TTS), delivering high naturalness, accurate transcript following, and industry-leading latency with fine-grained control over volume, speed, and emotion. Sonic 3 supports 42 languages and provides advanced controllability through API parameters and SSML tags for volume, speed, and emotion adjustments. The model includes natural laughter support, stable voices optimized for voice agents, and emotive voices for expressive characters. With sub-100ms latency, Sonic 3 enables real-time conversational AI that captures human speech nuances including emotions and tonal shifts. With SageMaker JumpStart, customers can deploy Sonic 3 with just a few clicks to address their voice AI use cases. To get started with this model, navigate to the SageMaker

Starting today, Amazon EC2 G7e instances accelerated by NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs are now available in US West (Oregon) region. G7e instances offer up to 2.3x inference performance compared to G6e. Customers can use G7e instances to deploy large language models (LLMs), agentic AI models, multimodal generative AI models, and physical AI models. G7e instances offer the highest performance for spatial computing workloads as well as workloads that require both graphics and AI processing capabilities. G7e instances feature up to 8 NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs, with 96 GB of memory per GPU, and 5th Generation Intel Xeon processors. They support up to 192 virtual CPUs (vCPUs) and up to 1600 Gbps of networking bandwidth. G7e instances support NVIDIA GPUDirect Peer to Peer (P2P) that boosts performance for multi-GPU workloads. Multi-GPU G7e instances also support NVIDIA GPUDirect Remote Direct Memory Access (RDMA) with EFA in EC2 UltraClus