In der vergangenen Generation gehörten die Core i5-12400(F) und Core i5-12500 wegen des guten Preis-Leistungsverhältnisses zu den meistverkauften Prozessoren. Die aktuelle Generation knüpft daran an. Ein Test von Martin Böckmann (Core i5, Prozessor)
Quelle: Golem
The agriculture industry is at a turning point. While food may seem plentiful in many global regions, the number of people going hungry has continued to increase over the last nine years. To feed growing populations sustainably and efficiently, the way we produce food must change. From the soil—where improvements to farming practices can help mitigate climate change to the shelf—where customers look for products with minimal carbon footprint—the agriculture and food value chain is primed for innovation.
That's why we’re thrilled to announce that Microsoft Azure Data Manager for Agriculture is now available in preview. At Microsoft, we’ve long recognized that scaling innovation across the industry starts with data. What began with Project FarmBeats, an ambitious initiative to collect and transform agricultural data, has now evolved into a timely commercial solution.
Azure Data Manager for Agriculture extends the Microsoft Intelligent Data Platform with industry-specific data connectors and capabilities to connect farm data from disparate sources, enabling organizations to leverage high-quality datasets and accelerate the development of digital agriculture solutions. Instead of devoting resources to managing unstructured data, customers and partners can focus on product innovation with the ability to reason over readily available and abundant data. Furthermore, organizations can use in-house, third-party, or Intelligent Data Platform services to speed the path to analytics and business intelligence solutions. With a connected ecosystem of partners building solutions on top of Azure Data Manager for Agriculture, this is another step towards a connected and collaborative agriculture industry.
Accelerate innovation through data
With so much agriculture-relevant data generated across the farm—from sensors in the soil to satellites orbiting the earth—many organizations don’t have the resources to harness it effectively. Azure Data Manager for Agriculture helps break down data silos, allowing organizations to build solutions that provide predictive and prescriptive insights on soil health, changing weather patterns, waste tracking, carbon sequestration, and more.
For example, Bayer used Azure Data Manager for Agriculture to shift from a self-managed data estate to a managed model with Microsoft. Bayer's FieldView platform harnesses data from Azure Data Manager for Agriculture’s satellite and weather pipelines to enable insights on potential yield-limiting factors in growers’ fields. In addition, Bayer is making their industry-leading expertise available to enterprise customers in the form of AgPowered Services—a set of solutions that ingest data from Azure Data Manager for Agriculture to provide timely insights on crop health, weather forecast, crop growth tracking, and more.
Not only is Bayer running their solutions on Azure Data Manager for Agriculture, but they’re also bringing decades of agriculture expertise to help develop a robust Azure Data Manager. Thanks to our strategic partnership, we’re leveraging Bayer’s industry knowledge—as well as data connectors, models, transformations, and workflows—to inform how we strengthen Azure Data Manager for Agriculture and empower organizations to address the challenges in agriculture today.
“Azure Data Manager for Agriculture is an important step towards accelerating the impact of big data and agriculture. With high-quality data fueling insights, we expect to see a value chain that is more predictable, more transparent, and importantly, where the value is shared all the way back to producers.”—Jeremy Williams, Head of Climate and Digital Farming, Bayer Crop Science.
Enable a more sustainable future
Feeding a growing global population and building a healthier world is only possible if sustainability is practiced from farm to fork. With Azure Data Manager for Agriculture, agriculture input providers can accelerate solutions that empower farmers to adopt more sustainable practices. For example, Azure Data Manager for Agriculture is a foundational component for Land O’Lakes’ digital offerings, including the Truterra sustainability tool. Truterra provides insight into how different agricultural practices impact water, nitrogen, and carbon on a farm, and it enables farmers to track their soil’s carbon sequestration and participate in carbon markets.
“Through our collaboration [with Microsoft], we are enabling farmers with new services to improve their operations and to quantify data for their customers that tells a story of sustainability.”—Teddy Bekele, Chief Technology Officer, Land O’Lakes, Inc.
Cultivate trust rooted in transparency
Consumers and investors alike are putting pressure on companies to be transparent about their agricultural and sustainability practices. With a clearer view into farm operations, companies can take an important step to establish trust with investors and customers. Azure Data Manager for Agriculture enables organizations to replace self-reported data with high-quality farm data to provide more accurate information to stakeholders—helping companies build brand trust through ethically and sustainably produced products. And as security and privacy concerns grow, organizations can rest assured knowing their data is stored in the most trusted cloud, built to meet stringent security and compliance requirements.
The Microsoft commitment to sustainability
Azure Data Manager for Agriculture is only one part of the Microsoft commitment to accelerating progress toward a more sustainable planet. With their next initiative, Project FarmVibes, Microsoft Research is building toolkits and AI models that are available in Microsoft Open Source to advance agriculture innovation in the scientific community across academia and business.
Microsoft has also launched Microsoft Cloud for Sustainability, which empowers organizations to accelerate sustainability progress and business growth by bringing together a growing set of environmental, social, and governance (ESG) capabilities from Microsoft and our global ecosystem of partners. Together, we are keeping sustainability at the core of our offerings, and we seek to empower organizations to adopt more regenerative and sustainable farming practices.
Learn more and transform your operations today
If you’re interested in using Azure Data Manager for Agriculture for your business, you can sign up here. Azure Data Manager for Agriculture requires registration and is currently only available to approved customers and partners during the preview period.
Quelle: Azure
Join Microsoft at NVIDIA GTC, a free online global technology conference (GTC), March 20 to 23 to learn how organizations of any size can power AI innovation with purpose-built cloud infrastructure from Microsoft.
Microsoft's Azure AI supercomputing infrastructure is uniquely designed for AI workloads and helps build and train some of the industry’s most advanced AI solutions. From data preparation to model and infrastructure performance management, Azure’s comprehensive portfolio of powerful and massively scalable GPU-accelerated virtual machines (VMs) and seamless integration with services like Azure Batch and open-source solutions helps streamline management and automation of large AI models and infrastructure.
Attend NVIDIA GTC to discover how Azure AI infrastructure optimized for AI performance can deliver speed and scale in the cloud and help you reduce the complexity of building, training, and bringing AI models into production.
Don’t miss session S52469 featuring Nidhi Chappell, a recipient of the 2023 People to Watch, recognized as a high-performance computing (HPC) luminary by HPCwire. Nidhi plays a leading role in driving HPC and AI innovation, accelerating the development of science and adoption of AI by enabling access to the best infrastructure and services for Microsoft customers.
Register for NVIDIA GTC today.
Microsoft sessions at NVIDIA GTC
Add the below Microsoft sessions at GTC to your conference schedule to learn about the latest Azure AI infrastructure and dive deep into a variety of use cases and technologies.
Featured sessions
Accelerate AI Innovation with Unmatched Cloud Scale and Performance
Thursday, March 23, 2023 | 7:00 to 7:50 AM PT
Nidhi Chappell, General Manager, Azure HPC, AI, SAP and Confidential Computing, Microsoft
Kathleen Mitford, Corporate Vice President, Azure Marketing, Microsoft
Manuvir Das, Vice President of Enterprise Computing, NVIDIA
Alex Kendall, CEO and Co-Founder, Wayve
Azure’s purpose-built AI infrastructure is enabling leading organizations in AI to build a new era of innovative applications and services. The convergence of cloud flexibility and economics, with advances in cloud performance, is paving the way to accelerate AI initiatives across simulations, science, and industry. Whether you need to scale to 80,000 cores for MPI workloads, or you're looking for AI supercomputing capabilities, Azure can support your needs. Learn more about Azures AI platform, our latest updates, and hear about customer experiences.
Azure's Purpose-Built AI Infrastructure Using the Latest NVIDIA GPU Accelerators
On-demand
Matt Vegas, Principal Product Manager, Microsoft
Microsoft offers some of the most powerful and massively scalable Virtual Machines, optimized for AI workloads. Join us for an in-depth look at the latest updates for Azure’s ND-series based on NVIDIA GPUs, engineered to deliver a combination of high-performance, interconnected GPUs, working in parallel that can help you reduce complexity, minimize operational bottlenecks operations, and can deliver reliability at scale.
Talks and panel sessions
Session ID
Session Title
Speakers
Primary Topic
S51226
Accelerating Large Language Models via Low-Bit Quantization
Young Jin Kim, Principal Researcher, Microsoft
Rawn Henry, Senior AI Developer Technology Engineer, NVIDIA
Deep Learning-Inference
S51204
Transforming Clouds to Cloud-Native Supercomputing: Best Practices with Microsoft Azure
Jithin Jose, Principal Software Engineer, Microsoft Azure
Gilad Shainer, SVP Networking, NVIDIA
HPC- Supercomputing
S51756
Accelerating AI in Federal Cloud Environments
Bill Chappel, Vice President of Mission Systems in Strategic Missions and Technology, Microsoft
Steven H. Walker, Chief Technology Officer, Lockheed Martin
Matthew Benigni, Chief Data Officer, Army Futures Command
Christi DeCuir, Director, Cloud Go-to-Market, NVIDIA
Data Center/ Cloud-Business Strategy
S51703
Accelerating Disentangled Attention Mechanism in Language Models
Pengcheng He, Principal Researcher, Microsoft
Haohang Huang, Senior AI Engineer, NVIDIA
Conversational AI NLP
S51422
SwinTransformer and its Training Acceleration
Han Hu, Principal Research Manager, Microsoft Research Asia
Li Tao, Tech Software Engineer, NVIDIA
Deep Learning– Training+
S51260
Multimodal Deep Learning for Protein Engineering
Kevin Yang, Senior Researcher, Microsoft Research New England
Healthcare- Drug Discovery
S51945
Improving Dense Text Retrieval Accuracy with Approximate Nearest Neighbor Search
Menghao Li, Software Engineer, Microsoft
Akira Naruse, Senior Developer Technology Engineer, NVIDIA
Data Science
S51709
Hopper Confidential Computing: How it Works under the Hood
Antoine Delignat-Lavaud, Principal Researcher Microsoft Research, Microsoft
Phil Rogers, VP of System Software, NVIDIA
Data Center/ Cloud Infrastructure- Technical
S51447
Data-Driven Approaches to Language Diversity
Kalika Bali, Principal Researcher, Microsoft Research India
Caroline Gottlieb, Product Manager, Data Strategy, NVIDIA
Damian Blasi, Harvard Data Science Fellow, Department of Human Evolutionary Biology, Harvard University
Bonaventure Dossou, Ph.D. Student, McGill University and Mila Quebec AI Institute
EM Lewis-Jong, Common Voice – Product Lead, Mozilla Foundation
Conversational AI/NLP
S51756a
Accelerating AI in Federal Cloud Environments, with Q&A from EMEA Region
Bill Chappel, Vice President of Mission Systems in Strategic Missions and Technology, Microsoft
Steven H. Walker, Chief Technology Officer, Lockheed Martin
Larry Brown, SA Manager, NVIDIA
Christi DeCuir, Director, Cloud Go-to-Market, NVIDIA
Data Center/ CloudBusiness Strategy
S51589
Accelerating Wind Energy Forecasts with AceCast
Amirreza Rastegari, Senior Program Manager, Azure Specialized Compute, Microsoft
Gene Pache, TempoQuest
HPC-Climate/ Weather/ Ocean Modeling
S51278
Next-Generation AI for Improving Building Security and Safety
Adina Trufinescu, Senior Program Manager, Azure Specialized Compute, Microsoft
Computer Vision -AI Video Analytics
Deep Learning Institute workshops and labs
We are proud to host NVIDIA’s Deep Learning Institute (DLI) training at NVIDIA GTC. Attend full-day, hands-on, instructor-led workshops or two-hour free training labs to get up to speed on the latest technology and breakthroughs. Hosted on Microsoft Azure, these sessions enable and empower you to leverage NVIDIA GPUs on the Azure platform to solve the world’s most interesting and relevant problems.
Register for a Deep Learning Institute workshop or lab today.
Learn more about Azure AI infrastructure
Whether your project is big or small, local or global, Microsoft Azure is empowering companies worldwide to push the boundaries of AI innovation. Learn how you can make AI your reality by exploring the following resources.
Azure AI Infrastructure
Azure AI Solutions
Accelerating AI and HPC in the Cloud
AI-first Infrastructure and Toolchain at Any Scale
The case for AI in the Azure Cloud
AI Infrastructure for Smart Manufacturing
AI Infrastructure for Smart Retail
Quelle: Azure
Elon Musk und T-Mobile arbeiten beim Mobilnetz zusammen. Der Mobilfunkanbieter will seine Geräte kompatibel mit den Starlink-Satelliten machen. Die Testphase startet. (Starlink, Telekom)
Quelle: Golem
IT-Sicherheit ist in aller Munde, doch in der Praxis sieht es nach wie vor bei vielen Unternehmen mau aus. Der Sicherheitsexperte und CTO Andreas Rohr erklärt, was unbedingt getan werden muss. Ein Interview von Moritz Tremmel (Security, Virus)
Quelle: Golem
Statt Kamerabildern sollen Microsoft-Teams-User sich künftig auch von ihren virtuellen Avataren vertreten lassen – auf dem Desktop und in VR. (Teams, Microsoft)
Quelle: Golem
Zum Jahreswechsel waren mehr als 80.000 öffentliche Ladepunkte in Deutschland installiert. Vor allem das Schnellladenetz wächst rasant. (Ladesäule, Elektroauto)
Quelle: Golem
Mit der neuen Release-Version können alle User das KI-gestützte Bing in Edge ausprobieren – auch ohne Betazugang. (MS Edge, Microsoft)
Quelle: Golem
AWS Step Functions Distributed Map ist jetzt in den Regionen Naher Osten (VAE), Europa (Spanien und Zürich), Asien-Pazifik (Hyderabad) und Australien (Melbourne) verfügbar.
Quelle: aws.amazon.com
Amazon Relational Database Service (Amazon RDS) unterstützt jetzt Amazon RDS Blue/Green-Bereitstellungen in den AWS-Regionen Asien-Pazifik (Hyderabad und Melbourne). Blau/Grün-Bereitstellungen helfen Ihnen bei sichereren, einfacheren und schnelleren Updates Ihrer Amazon Aurora- und Amazon RDS-Datenbanken.
Quelle: aws.amazon.com
