AWS★★★
Today, Amazon SageMaker AI announces instance preference lists for training and processing jobs, making it easier and faster to find compute capacity for your workloads. Many AI training, fine-tuning, and data processing workloads run comparably well on any of several instance types or sizes. However, before now, you had to name only one instance type at the time of job submission and wait for SageMaker to find that specific instance for your job. For high-demand GPUs during peak periods, where wait times can be unpredictable, customers sometimes had to build complex retry logic or concurrently submit multiple jobs with different instance ty…
AWS★★★
Amazon Connect Customer now enables agents to bid on preferred shifts, giving them more control over their work schedules. Schedulers first establish agent ranking either by uploading a CSV file or generating a randomized ranking. Connect Customer then uses forecasted demand and shift profiles to generate available shifts and presents them to agents to rank. For example, in a Monday–Friday 6AM–10PM shift profile with 9-hour shifts, required shifts are 6AM–3PM (500 agents), 9AM–6PM (800 agents), and 1PM–10PM (600 agents). Once the bidding window closes, Connect Customer automatically assigns each agent to their highest-ranked available shift …
AWS★★★
AWS Glue zero-ETL integrations for Salesforce now capture archived records in your target tables, giving you a complete replica of your Salesforce data for analytics and reporting. Archived records are identified and reflected accurately through the isArchived field, so your analytical data stays fully in sync with your Salesforce source. This is especially valuable for high-volume entities that Salesforce archives automatically, such as Events, Tasks, and Activities, giving you complete visibility into this data in your analytical data stores. This feature applies to your zero-ETL integrations with no action required. New integrations captu…
AWS★★★
AWS root user sign-in is now served across US East (N. Virginia), US East (Ohio), and US West (Oregon), with sign-in traffic distributed across all three Regions. This change reduces reliance on US East (N. Virginia) and improves resiliency during service disruptions. AWS automatically routes your root user sign-in to a supported Region without requiring you to select a Region or change how you sign in. This improvement is available now for all AWS accounts. In AWS CloudTrail, ConsoleLogin events for root user sign-ins are recorded in the Region that processed the sign-in request. To maintain full visibility into root user sign-in activity, …
AWS★★★
NVIDIA's Qwen3.6-35B-A3B-NVFP4 and Alibaba's Wan2.1-T2V-1.3B-Diffusers models are now available on Amazon SageMaker JumpStart, expanding the portfolio of foundation models available to AWS customers. These two models bring specialized capabilities spanning agentic coding with long-context reasoning and lightweight text-to-video generation, enabling customers to deploy high-performance, scalable AI solutions on AWS infrastructure. These models address different enterprise AI challenges with specialized capabilities: Qwen3.6-35B-A3B-NVFP4 is optimized for agentic coding, multimodal reasoning, and long-context understanding as the NVIDIA-quanti…
AWS★★★
Mistral AI's Ministral-3-3B-Instruct-2512 and Ministral-3-8B-Instruct-2512 models are now available on Amazon SageMaker JumpStart, expanding the portfolio of foundation models available to AWS customers. These two models from the Ministral 3 family bring compact, vision-capable language models purpose-built for edge deployment and resource-constrained environments, enabling customers to deploy high-performance, scalable AI solutions on AWS infrastructure. These models address different enterprise AI challenges with specialized capabilities: Ministral-3-3B-Instruct-2512 is engineered for ultra-lightweight edge deployment with multimodal under…
AWS★★★
Google DeepMind's Gemma-4-31B-it-assistant and NVIDIA's Gemma-4-31B-IT-NVFP4 models are now available on Amazon SageMaker JumpStart, expanding the portfolio of foundation models available to AWS customers. These two models bring the flagship Gemma 4 31B dense architecture to enterprise workloads in both full-precision and optimized quantized variants, enabling customers to deploy high-performance, scalable AI solutions on AWS infrastructure. These models address different enterprise AI challenges with specialized capabilities: Gemma-4-31B-it-assistant is built for multimodal reasoning, coding, and agentic workflows as the assistant-tuned var…
AWS★★★
BM's granite-speech-4.1-2b, Kakao's kanana-2-30b-a3b-instruct, and the OpenFold Consortium's OpenFold3 models are now available on Amazon SageMaker JumpStart, expanding the portfolio of foundation models available to AWS customers. These three models bring specialized capabilities spanning multilingual speech recognition, bilingual agentic AI, and biomolecular structure prediction, enabling customers to deploy high-performance, scalable AI solutions on AWS infrastructure. These models address different enterprise AI challenges with specialized capabilities: granite-speech-4.1-2b is purpose-built for multilingual automatic speech recognition …
AWS★★★
AWS End User Messaging is advancing its deliverability capabilities in phone pools. Now, customers sending through phone pools automatically benefit from automatic failover to the next best performing number in the pool when SMS delivery is impacted from downstream disruptions. SMS deliverability can be affected by drops or delays when trying to reach the end recipient while it's being routed from AWS to messaging providers and eventually mobile carriers. These disruptions can hit the most important parts of your messaging program, including delivery notifications, one-time passcodes, reminders, and other time-sensitive messages. AWS End Use…
AWS★★★
AWS End User Messaging now supports dynamic WhatsApp flows so you can turn WhatsApp conversations into rich, interactive experiences that end-users complete directly in WhatsApp. Instead of pushing end-users to a website or a separate form to complete an interactive experience, you can instead guide them through an appointment booking, lead generation, sign-up, survey or a transaction directly in the chat. Customers can start building a flow using one of Meta's stater templates with familiar building blocks like text inputs, date pickers, drop downs, and buttons, or customize the flow from scratch. With dynamic flows, each screen can call yo…
AWS★★★
AWS HealthOmics now publishes real-time run metrics to Amazon CloudWatch, giving you visibility into workflow resource utilization as runs execute. The 14 new run metrics span CPU and GPU usage, memory usage, file system usage and I/O metrics, network throughput, and ephemeral storage usage. AWS HealthOmics is a HIPAA-eligible service that helps healthcare and life sciences customers accelerate scientific breakthroughs at scale with fully managed bioinformatics workflows. Real-time run metrics can help you identify CPU or GPU bottlenecks, detect memory or storage exhaustion before a task fails, and track file system throughput, all without o…
AWS★★★
AWS Parallel Computing Service (AWS PCS) now supports custom Generic Resource (GRES) settings and hardware topology, and adds support for Slurm version 26.05. These capabilities give you finer control over how Slurm sees and schedules your cluster hardware, improving task placement for HPC and machine learning workloads. They also enable NVIDIA Multi-Instance GPU (MIG), which partitions a single GPU into isolated instances that Slurm schedules independently. With Slurm 26.05, AWS PCS configures hardware topology by default, treating each node's NUMA domains as Slurm sockets. It also autodetects and configures GPU core affinity and GPU-to-GPU…
