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Amazon News
Massivelyop
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Massively OP Podcast Episode 496: Go ahead Corepunk, make our day
- On this week’s episode of the Massively OP Podcast, Bree and Justin discuss Corepunk's early access launch, Ubisoft's cozy MMO, Throne and Liberty's spear weapon, MMOs that they can't get into, and the debate over buying a lifetime subscription.
- Corepunk launches quietly
- Ubisoft is making a cozy MMO?
- Throne and Liberty introduces spear weapon
- Discussion on MMOs that they keep bouncing off of and the pros and cons of lifetime subscriptions
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Geek Wire
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‘An easy button to get off Windows’: Amazon’s new AI moves Microsoft apps to Linux
- Amazon announced a new AI tool for migrating .NET applications to Linux at AWS re:Invent conference.
- This move aims to help customers move away from data centers and servers running on Microsoft's operating system.
- The new tool uses AI to examine files for migration, identify upgrades, create a transformation plan, and execute the plan.
- Amazon claims that AI could reduce the migration process from months to days and save up to 40% in costs.
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Macrumors
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Image Credit: Macrumors
Apple Uses Amazon's Custom AI Chips for Search Services
- Apple uses custom Trainium and Graviton AI chips from Amazon for search services.
- Apple plans to test whether Amazon's Trainium2 chip can be used for pre-training Apple Intelligence.
- Apple has used AWS for more than 10 years for Siri, Apple Maps, and Apple Music.
- With Amazon's AI chips, Apple has seen efficiency gains, and expects further improvement with Trainium2.
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TechCrunch
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13
Image Credit: TechCrunch
Amazon teams up with Orbital to remove CO2 from the air at one of its data centers
- Amazon has partnered with AI startup, Orbital, to test a new material that removes carbon dioxide from the atmosphere.
- The collaboration will take place at an AWS data center.
- Orbital specializes in using AI to design advanced materials, including for carbon capture.
- On-site carbon capture at data centers can provide cost-effective and profitable solutions while reducing emissions.
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VentureBeat
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83
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AWS SageMaker is transforming into a combined data and AI hub
- Today at its annual huge conference re:Invent 2024, Amazon Web Services (AWS) announced the next generation of its cloud-based machine learning (ML) development platform SageMaker.
- AWS transformed it into a unified hub that allows enterprises to bring together data assets-spanning across different data lakes and sources in lakehouse architecture-interconnected with AWS ecosystem analytics and formerly disparate ML tools.
- The platform's integrated development environment, SageMaker Studio, gives teams a single, web-based visual interface to perform all machine learning development steps, right from data preparation, model building, training, tuning, and deployment.
- The company upgraded SageMaker with two key capabilities: Amazon SageMaker Lakehouse and Unified Studio.
- Lakehouse offering provides unified access to all the data stored in the data lakes built on top of Amazon Simple Storage Service (S3), Redshift data warehouses and other federated data sources, making it easily queryable regardless of where the information is originally stored.
- SageMaker Unified Studio acts as a unified environment that strings together all existing AI and analytics capabilities from Amazon's standalone studios, query editors, and visual tools.
- Users can even pull up Amazon Q Developer assistant and ask it to handle tasks like data integration, discovery, coding or SQL generation — in the same environment.
- SageMaker Lakehouse is compatible with Apache Iceberg, meaning it will also work with familiar AI and ML tools and query engines.
- The new SageMaker is available for AWS customers starting today.
- Companies like Roche and Natwast Group will be among the first users of the new capabilities.
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The Robot Report
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Image Credit: The Robot Report
AWS offers accelerated robotics simulation with NVIDIA
- NVIDIA and AWS are offering tools to accelerate the development of robotics, quantitative computing and AI.
- NVIDIA Isaac Sim, a reference application built on NVIDIA Omniverse, is now available on NVIDIA L40S GPUs in Amazon Elastic Cloud Computing (EC2) G6e instances.
- This enables developers to simulate and test AI-driven robots in physically based virtual environments, allowing roboticists to use these instances to train many computer vision models that power AI-driven robots.
- The same instances can also be used for data generation and simulation of model training, and teams can orchestrate complex robotics development workflows.
- Developers may use simulation to verify, validate and optimise robot design as well as systems and algorithms before deployment, the company said.
- Simulation reduces costly manufacturing and construction change orders by optimising facility and system designs.
- NVIDIA said Isaac Sim can help generate synthetic data for perception model training, easing the synthetic data generation process by reducing many tedious and manual steps.
- The NVIDIA DGX Cloud is now available on Amazon for training AI models, while NVIDIA BioNeMo has been integrated into AWS HealthOmics.
- Other NVIDIA announcements include integrating AI blueprints and the RAPIDS quick start notebooks on Amazon EMR.
- Developers could also use Isaac Lab, an open-source robot learning framework built on Isaac Sim, to build robot policy for AWS Batch that will be repeated and easily troubleshooted.
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VentureBeat
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376
Amazon launches Nova AI model family for generating text, images and videos
- Amazon has launched a new AI model family called Nova, allowing users to generate text, images, and videos.
- The Nova suite includes models optimized for low-latency responses, fast processing, accuracy, and complex reasoning tasks.
- These models support fine-tuning and knowledge distillation, enabling customization for improved accuracy and performance.
- Amazon Nova is integrated with the Bedrock platform and emphasizes safety, transparency, and compliance with ethical standards.
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Geek Wire
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Amazon unveils ‘Nova’ AI models, looking to make its mark in the generative AI revolution
- Amazon CEO Andy Jassy introduced 'Nova,' a new set of AI foundation models at AWS re:Invent.
- The Nova models aim to establish Amazon's presence in the generative AI revolution.
- The Nova family includes multiple primary models like Nova Micro, Nova Lite, Nova Pro, Nova Premier, Nova Canva, and Nova Reel.
- Amazon plans to expand the Nova initiative with speech-to-speech and 'any to any' models in the future.
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Pymnts
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Image Credit: Pymnts
Amazon Reports Record Sales During Black Friday Week and Cyber Monday
- Amazon saw record sales and a record number of items sold during its Black Friday Week and Cyber Monday holiday shopping event.
- The event's best-selling products included Amazon's Echo and Fire TV devices, and the best-selling product categories in the U.S. included electronics, toys, and beauty.
- Independent sellers accounted for more than 60% of sales during this 12-day period.
- Black Friday shoppers spent a record $10.8 billion this year, a figure that was 10% higher than last year's total.
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Siliconangle
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135
Image Credit: Siliconangle
AWS introduces Amazon Aurora DSQL and DynamoDB enhancements for multi-region workloads
- Amazon Web Services (AWS) announced new capabilities for Amazon Aurora and Amazon DynamoDB to support multi-region workloads.
- The launch of Amazon Aurora DSQL offers a serverless, distributed SQL database with high availability, strong consistency, and PostgreSQL compatibility.
- Aurora DSQL provides 99.999% multi-region availability, eliminates tradeoffs, and offers fast read and write performance.
- Amazon DynamoDB now supports strong consistency for global tables, ensuring low-latency performance and scalability across multiple regions.
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Medium
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381
Image Credit: Medium
Bringing Amazon EKS Hybrid Nodes to life with Palette
- AWS has released EKS Hybrid Nodes, which allows customers to leverage on-premises and edge infrastructure as worker nodes in EKS clusters.
- Hybrid nodes are bare metal and/or virtualized hosts running outside of AWS that register with a centralized EKS control plane as worker nodes, resulting in a single EKS cluster that spans the Amazon cloud and one or more private locations.
- Hybrid architectures offer an efficient pathway to cloud bursting, where on-premises applications temporarily scale to the cloud.
- Managing Kubernetes across different environments traditionally requires separate clusters and toolsets. Hybrid architectures enable a consistent security model across both on-premises and cloud environments.
- Multiple edge sites can be registered with a single control plane. AWS hosts and manages the Kubernetes control plane.
- Hybrid clusters improve DR capabilities and provide advanced mobility for workloads.
- To fully understand hybrid clusters, their configuration, and capabilities, network topology of each hybrid site is required prior to deployment.
- For solutions using a VPN architecture, it is recommended to have a dedicated VPN server per hybrid node pool.
- AWS provides a CLI tool to enable hybrid node lifecycle operations such as installation, configuration, registration, and upgrades.
- Palette can augment and extend the core Hybrid Nodes feature by automating the infrastructure lifecycle and orchestrating lifecycle management of hybrid nodes at scale.
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Siliconangle
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Image Credit: Siliconangle
AWS expands Amazon S3 with features to support Apache Iceberg and metadata management
- Amazon announced at its re:Invent conference updates to its Amazon Simple Storage Service (S3) to make it the first cloud object store with fully managed support for Apache Iceberg.
- Amazon S3 Tables deliver up to 3 times faster query performance with 10 times higher transactions per second and automated maintenance, ensuring S3 users manage and store tabular data on any scale.
- S3 tables provide a purpose-built solution for managing Apache Iceberg tables in data lakes, providing faster query performance and higher TPS compared to general-purpose S3 buckets.
- Amazon S3 Metadata is another new service that streamlines data discovery by automatically capturing queryable object metadata and custom metadata using object tags.
- S3 Metadata captures system-defined details such as object size and source, integrating metadata into S3 Tables, ensuring an up-to-date view of data, accelerating analytics across data lakes.
- Customers using S3 Tables can create dedicated table buckets that streamline the storage and querying of tabular data in fully managed Iceberg tables.
- The service also offers advanced Iceberg features like row-level transactions, queryable snapshots via time travel and schema evolution.
- S3 Metadata also enables customers to enrich their data by adding custom metadata with object tags and querying through SQL queries, which effective storage optimization and improved data preparation for analytics.
- The release of Amazon S3 Tables seeks to address the issue of managing large-scale tabular data, which customers typically organize using Apache Parquet, a file format optimized for data queries and organizing billions of files.
- Andy Warfield, VP of storage and distinguished engineer at AWS, says the system removes the overhead of data stores on top of objects to enable customers to shift their focus back to working with their data.
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TechCrunch
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43
Image Credit: TechCrunch
Amazon Music launches “2024 Delivered,” its take on Spotify Wrapped
- Amazon Music launches “2024 Delivered,” its take on Spotify Wrapped
- The feature provides a personalized yearly recap of listening habits.
- It includes top artists, songs, genres, favorite podcasts, and most requested song played by Alexa.
- Amazon Music aims to offer a more comparable experience to Spotify Wrapped.
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Massivelyop
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78
New World has enlisted rapper T-Pain and other influencers for a ‘T-Party’ Aeternum stream today
- Amazon's New World is collaborating with rapper T-Pain and other influencers for a promotion called New World Aeternum x T-Pain. The promotion involves T-Pain playing the MMORPG with the developers and eight other Twitch streamers.
- The event will feature endgame content such as Outpost Rush, Myrkgard Elite Chest Run, and the Hive of Gorgons raid, where the group of adventurers will search for rumored riches.
- Although Amazon does not explicitly mention paying the influencers, it is assumed that they are being compensated for participating in the 'T-Party' event.
- This collaboration with T-Pain and the ongoing fate of New World post-Aeternum make it noteworthy in the gaming community.
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VentureBeat
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Image Credit: VentureBeat
What AI vendor should you choose? Here are the top 7 (OpenAI still leads)
- IT analyst firm GAI Insights offers the first known buyer’s guide to large language models (LLMs) and GAI, reviewing 29 vendors across common enterprise GAI use cases and identifying seven emerging leaders.
- OpenAI is still leading the pack as the industry is "splintering into sub-categories."
- The six other vendors identified by GAI are Deepset, Glean, IBM, LangChain, LlamaIndex and SambaNova.
- Vendors were rated based on various factors, including product and service innovation, quality of technical and management team experience, track record in launching products and partnerships, and defined target buyers.
- Nvidia continues to dominate the market share with 85% share, and will continue to offer products up and down the hardware and software stack.
- GAI Insights projects that Gen AI is the leading budget priority for CIOs and CTOs amidst a 240x drop in the cost of AI computation in the last 18 months, and expects 33% of companies to push models into production in 2025.
- The firm also noted a current trend toward proprietary large language models, as enterprises prioritize data privacy, control, and regulatory compliance. However, GAI Insights anticipates a boom in vertical-specific small language models emerging for specific use cases.
- The top use cases for Gen AI include customer support, summarization, text generation, coding, and contract management.
- AI agents have yet to be fully defined and those in deployment are confined to internal applications and small-scale deployments. GAI Insights noted many hurdles to overcome including, among others, unregulated spread, agentic AI making unreliable or questionable decisions.
- GAI Insights advises that, to get started with AI initiatives, enterprises should accept that the enterprise IT stack will continue to change drastically over the next 15 years and designate an executive to oversee integration, develop a center of excellence and coordinate projects.
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