Welche Hürden müssen Eigentümer für eine gemeinsame Solaranlage überwinden? Eine Berliner WEG zeigt anhand ihres Projekts, wie es funktioniert. Ein Erfahrungsbericht von Friedhelm Greis (Solarenergie, Smart Meter)
Quelle: Golem
Amazon Time Sync Service introduces support for microsecond-accurate time on 135 additional EC2 instance types—spanning 12 instance families—in all commercial regions. Built on Amazon’s proven network infrastructure and the AWS Nitro System, microsecond-accurate time and nanosecond-precision hardware timestamps leverage the reference clocks running in the Nitro System directly, enabling customers to easily order application events, measure 1-way network latency, and increase distributed application transaction speed.
The newly supported families include eight Gen8 families (C8a, C8i, C8i-flex, C8id, M8i, M8i-flex, R8a, and X8i) and four Gen9 families (C9g, C9gd, M9g, and M9gd).
Starting today, customers can access microsecond-accurate time on these additional instance types by creating a Precision Time Placement Group (PTPG), a new placement strategy that allows customers to launch instances with Precision Time Protocol hardware clock (PHC) enabled. Customers that require both low network latency as well as precision time can associate a PTPG with their Cluster Placement Group (CPG), so that their low-latency workloads also benefit from microsecond-accurate time.
For more information, refer to the Amazon Time Sync Service documentation.
Quelle: aws.amazon.com
AWS HealthOmics now supports sharing VPCs across accounts, enabling your workflows to access resources in Amazon Virtual Private Clouds (VPCs) managed by other AWS accounts with AWS Resource Access Manager (RAM). AWS HealthOmics is a HIPAA-eligible service that helps healthcare and life sciences customers accelerate scientific breakthroughs at scale with fully managed bioinformatics workflows.
With shared VPCs, customers can centralize networking administration by sharing subnets and security groups from a single VPC across multiple accounts in their organization, and HealthOmics then places each account’s workflows directly into those shared subnets. With cross-account VPC sharing, multiple accounts run inside one centrally managed VPC, instead of duplicating endpoints across VPCs. Workflows in participating accounts can access data privately without separate VPC peering connections or duplicated VPC endpoints. Previously, customers with centralized networking had to create separate AWS PrivateLink VPC endpoints in each VPC and maintain individual route tables using VPC peering. Cross-account VPC sharing reduces infrastructure overhead and simplifies network management for organizations with centralized networking while allowing researchers and developers to run bioinformatics workflows in their own accounts.
Shared VPCs is available in all Regions where AWS HealthOmics is available: US East (N. Virginia, Ohio), US West (Oregon), Europe (Frankfurt, Ireland, London), Israel (Tel Aviv), and Asia Pacific (Singapore, Seoul, Tokyo). To get started, see the AWS HealthOmics User Guide.
Quelle: aws.amazon.com
Meta’s Muse Spark Open is now available on Amazon SageMaker JumpStart, expanding the portfolio of foundation models available to AWS customers. This coding-optimized open-weight model from Meta is purpose-built for agentic coding workflows, bringing multi-step reasoning and tool calling to enterprise software engineering on AWS infrastructure.
Muse Spark Open is designed for long-running coding agents and multimodal engineering workflows. Built on a Mixture-of-Experts (MoE) architecture with 816B total parameters and 42B active per token, it delivers the capacity of a very large network while keeping per-token compute closer to that of a much smaller dense model. The model holds a 1M-token context window, enabling it to ingest an entire project—including dependencies, legacy code, and thousands of files—without splitting tasks into smaller pieces. It accepts text, images, documents, audio, and audio-video as input and generates text output. Trained on real developer workflows such as multi-file refactors and long debugging sessions, it plans, acts, observes results, and self-corrects over long horizons rather than making single tool calls. SageMaker JumpStart offers two variants: BF16 (Muse-Spark-Open-816B-A42B) and NVFP4 quantized (Muse-Spark-Open-816B-A42B-NVFP4), with the NVFP4 variant requiring roughly a quarter of the memory for cost-efficient deployment.
With SageMaker JumpStart, customers can deploy Muse Spark Open with just a few clicks, with the endpoint running in their own AWS account for full control over source code and prompts.
To get started with this model, navigate to the SageMaker JumpStart model catalog in the SageMaker console or use the SageMaker Python SDK to deploy the model to your AWS account. For more information about deploying and using foundation models in SageMaker JumpStart, see the Amazon SageMaker JumpStart documentation.
Quelle: aws.amazon.com
Today, AWS announces the general availability of the AWS Lambda Durable Execution SDK for Go, enabling Go developers to build resilient, long-running workflows using Lambda durable functions. With this SDK, developers can create multi-step applications like infrastructure automation, deployment rollouts with approval gates, and pipelines that call AI models and pause for human review directly in their Go code without implementing custom progress tracking.
Lambda durable functions extend Lambda’s event-driven programming model with operations that checkpoint progress automatically and pause execution for up to an year when waiting on external events. The AWS Lambda Durable Execution SDK for Go provides a native Go experience for building with Lambda durable functions. It includes steps for progress tracking, callback integration for human and agent-in-the-loop workflows, durable invocation for reliable function chaining, and waits for efficient suspension.
The SDK works with the Go tools developers already use. Developers add it to a Go module with go get and deploy their function as a single static binary on the provided.al2023 runtime, like any other Go function on Lambda. Before deploying, they can locally test complete workflows on their own machine with the durabletest package, without requiring network access or AWS credentials, and use the durablelint analyzer to catch code that could break a workflow when it resumes.
To get started, see the Lambda durable functions developer guide and the AWS Lambda Durable Execution SDK for Go on GitHub. For Regional availability and pricing details for Lambda durable functions, see the AWS Capabilities by Region page and AWS Lambda Pricing.
Quelle: aws.amazon.com
Amazon DynamoDB Streams now supports timestamp-based stream processing, enabling you to begin reading stream records from a specific point in time. Previously, you could only start from the oldest retained record (up to 24 hours old) or from new records written after you start consuming the stream. Now, you can supply a timestamp and begin processing at the first record written at or after that time using the AT_TIMESTAMP shard iterator type.
Timestamp-based stream processing can be used with the Amazon Kinesis Client Library (KCL) through the DynamoDB Streams Kinesis adapter. It helps you avoid reprocessing entire retained streams or missing records when resuming stream consumption, supporting common use cases such as recovery after an interruption, data replay for debugging and auditing by reading from a specific point in the past, skipping a backlog by resuming from a recent timestamp near the latest records, and synchronizing after a restore by beginning at the export timestamp following a point-in-time recovery (PITR) export.
Timestamp-based stream processing is available in all commercial AWS Regions, the AWS GovCloud (US) Regions, and the China Regions. There is no additional charge for this feature beyond standard GetRecords API request charges. To get started, see Amazon DynamoDB Streams timestamp documentation in the DynamoDB developer guide.
Quelle: aws.amazon.com
Die Suunto Race 3S wiegt trotz 46-mm-Gehäuse mit Titanlünette nur 56 Gramm. Der Akku hält im Alltag bis zu zwölf Tage. (Suunto, Spiele)
Quelle: Golem
Japan will künftig 30 Raketen pro Jahr starten. Warum der Ausbau der Weltraumbahnhöfe auch eine Frage der Sicherheit ist, erklärt Nikkei Asia. Von Kenta Shimai (Weltall, Wirtschaft)
Quelle: Golem
Einen KI-Bot als Begleiter in ein ebenfalls von KI geführtes Jobinterview mitzunehmen, bringt reichlich Chaos ins Bewerbungsgespräch. (KI, Interview)
Quelle: Golem
Der Supvan E11 druckt Etiketten ohne Tinte und lässt sich auch ohne Smartphone bedienen. Vier Etikettenrollen sind bereits enthalten. (Technik/Hardware, Amazon)
Quelle: Golem
