Daily Archives: February 26, 2024

After Nvidia’s latest blowout, here are 20 AI stocks expected to rise as much as 44% – Yahoo Finance

Posted: February 26, 2024 at 12:18 am

After Nvidia's latest blowout, here are 20 AI stocks expected to rise as much as 44%  Yahoo Finance

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1 Exceptional AI Chip Stock Investors Need to Know About in 2024 – The Motley Fool

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1 Exceptional AI Chip Stock Investors Need to Know About in 2024  The Motley Fool

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Nvidia briefly hits $2 trillion valuation as AI frenzy grips Wall Street – Reuters

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Nvidia briefly hits $2 trillion valuation as AI frenzy grips Wall Street  Reuters

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ISSCC 2024: Inside AMD’s Zen 4cThe Area-Optimized Cloud Computing Core – News – All About Circuits

Posted: at 12:17 am

We continue our coverage this week of the International Solid State Circuits Conference (ISSCC), held in San Francisco, CA. At this event, groups from both academia and industry have gathered to present their latest and greatest research and developments.

As the conference program shows, many new solid-state circuits, architectures, and processors have been revealed as well as more comprehensive performance assessments.

Among the presented papers lies AMDs Zen 4c core, which may sound familiar as it has been included in recent years such as 9004 series processors or the Bergamo cloud-focused processor. This article dives into AMDs ISSCC paper to give designers more context on what the Zen 4c core offers and how AMD engineers were able to achieve it.

As more focus is shifted toward cloud computing, traditional approaches to processor design begin to become obsolete as number of cores can outweigh individual core performance. Conversely, edge-based devices can benefit from a small but powerful processor core.

These markets are where AMD hopes that the Zen 4c core can flourish. Compared to the older Zen 4 architecture, the Zen 4c is fully ISA and feature compatible, allowing for easier transitions to and from Zen 4 and Zen 4c software. In addition, the same TSMC 5 nm process is used, with more focus placed on area and power efficiency.

In terms of features, the Zen 4c core is highly similar to the normal Zen 4, with the primary deviation appearing in the L3 cache. Compared to Zen 4, the Zen 4c core only has 2 MB L3 cache compared to Zen 4s 4 MB. This tradeoff is compensated for, however, due to the increased number of cores allowed with the Zen 4c core architecture.

In order to support high-core-count dies, Zen 4c required aggressive optimization. In each SRAM cell, two transistors were shaved off by using a double-pumped architecture to perform reads and writes in one clock cycle. This allowed for a 40% macro area reduction while only reducing the clock speed by 20%.

While a lower clock frequency isnt necessarily a good thing, the lower clock ultimately means more area and power reduction per core due to 50% decreased leakage and 25% less switching capacitance. Ultimately, the Zen 4c core reported a 35% smaller core area in the same process node.

The increased area efficiency ultimately allowed AMD engineers to double the core count on a Zen 4c chiplet while maintaining the same amount of L3 cache and with only a 10% total area increase.

The resulting Zen 4c chiplet touted a 9% performance improvement over Zen 4 chiplets, showing the cores effectiveness in compute applications. Normalized to area and power, the Zen 4c shows a 25% and 9% improvement over Zen 4 architectures, paving the way for better and more efficient high-core-count processors in cloud computing applications.

Designers curious about the performance of Zen 4c cores can look to AMD EPYC 9004 series processors or 7000 series of mobile processors to evaluate the performance of the new cores. From what we know now, we can see that the Zen 4c cores excel in applications where efficient computing is required.

All images used courtesy of ISSCC and AMD

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Huawei Cloud: Infrastructure of Choice for AI with 10 Systematic Innovations Unveiled in MWC Barcelona 2024 – Morningstar

Posted: at 12:17 am

Huawei Cloud: Infrastructure of Choice for AI with 10 Systematic Innovations Unveiled in MWC Barcelona 2024

PR Newswire

BARCELONA, Spain, Feb. 25, 2024

BARCELONA, Spain, Feb. 25, 2024 /PRNewswire/ -- This year's Huawei Cloud Summit demonstrates how Huawei Cloud is the infrastructure of choice for AI applications. With the theme of "Accelerate Intelligence with Everything as a Service", the 500-strong event brought together executives and experts from diverse industries, such as carrier, finance, and Internet. Huawei Cloud presented 10 AI-oriented innovations and extensive industry expertise of Pangu models. The objective is an AI-ready infrastructure tailored to each industry for a faster journey towards intelligence.

Jacqueline Shi, President of Huawei Cloud Global Marketing and Sales Service, said in her speech: "Huawei Cloud is one of the fastest growing cloud service providers in the world. At Huawei Cloud, we're all about pushing boundaries and bringing cutting-edge tech to customers around the world. We have launched a series of local cloud Regions in recent years, such as in Ireland, Trkiye, Indonesia, Saudi Arabia, giving customers easy access to the best-performing cloud. With over 120 security certifications worldwide, you can be sure your business and data are safe and sound. But it is not just about the tech. We believe in helping our partners grow alongside us, and this goal is now backed by our GoCloud and GrowCloud programs. And let's not forget AI it is reshaping everything, and we're at the forefront. We're building a solid cloud foundation for everyone, for every industry, to accelerate intelligence."

Today's foundation models redefine production, interaction, service paradigms, and business models for traditional applications. They make AI a new engine for the growth of cloud computing. While the potential is vast, implementing AI in line with business objectives requires systematic innovation. Huawei Cloud CTO Bruno Zhang said that "Huawei Cloud will help you with two strategies. AI for Cloud uses AI and foundation models to elevate your experience. They revolutionize software development, digital content production, and more. Cloud for AI makes AI adoption seamless and efficient. Architectural innovation, AI-native storage, and data-AI convergence empower you to train and use AI like never before."

At the Summit, Huawei Cloud unveiled ten AI-oriented innovations that make it the cloud infrastructure of choice for AI.

KooVerse: Huawei Cloud has 85 AZs in 30 Regions across over 170 countries and regions. This global cloud infrastructure covering compute, storage, networking, and security pushes latency down to 50 ms.

Distributed QingTian architecture: Foundation models require a 10-fold growth in demand for compute resources every 18 months, far surpassing Moore's Law.To address this challenge, this architecture evolved from the conventional primary/secondary one. Built on a high-speed interconnect bus (Unified Bus), QingTian surpasses the limitations in compute, storage, and networking for a top-class AI compute backbone with heterogeneous, peer-to-peer, full-mesh computing.

AI compute: Hyperscale and stable, AI Cloud Service supports trillion-parameter model training, and training jobs can run uninterrupted on a cluster over thousands of cards for 30 days, 90% of the time. Service downtime stays within 10 minutes. It provides over 100 Pangu model capability sets and 100 adapted open source large models out of the box.

AI-Native storage: Training models needs mountains of data, and Huawei Cloud handles this demand with a three-pronged approach: EMS memory service stores petabytes of parameters with 220 TB ultra-large bandwidth and ultra-low latency down to the microsecond; SFS Turbo cache service for high throughput and concurrency of tens of millions IOPS enables warm-up of 1 billion data records in just 5 hours, not 100; Object Storage Service (OBS) knowledge lake reduces 30% costs in storing training and inference data.

E2E security: The full lifecycle covers model runtime environments, training data, the models themselves, generated content, and applications. This ensures robust, secure, and compliant models and applications.

GaussDB: This next-generation database features high availability, security, performance, flexibility, and intelligence, as well as simple and smart deployment and migration. Specifically, its enterprise-class distributed architecture ensures high availability thanks to zero intra-city dual-cluster RPO, complete isolation of software and hardware faults, and zero service downtime. For security, it is certified CC EAL4+, the highest level in the industry. For automation, GaussDB enhances database migration, deployment, and migration as the world's first AI-native database.

Data-AI convergence: The explosion of foundation models means "Data+AI" is now "Data4AI and AI4Data". Huawei Cloud LakeFormation unifies data lake from multiple lakes or warehouses so one copy of data is shared among multiple data analytics engines and AI engines without data migration. Three collaborative pipelines DataArts, ModelArts, and CodeArts then orchestrate and schedule data and AI workflows. They drive online model training and inference with real-time data. The AI4Data engine makes data governance more intelligent, from data integration, development, to quality and asset management.

Media infrastructure: In this AIGC and 3D Internet era, Huawei Cloud has built a media infrastructure of efficiency, experience, and evolution. For efficiency, Huawei Cloud MetaStudio, the content production pipeline that include Workspace and AIGC-based virtual humans, generates content more quickly and better. For experience, Huawei Cloud Live, Low Latency Live, and SparkRTC empower more seamless interactions. For evolution, Huawei Cloud provides AIGC and 3D space services with real-time user interaction. All these combine to boost the business and user experience to the next level.

Landing Zone: Enterprises use and manage resources better on Huawei Cloud thanks to unified account, identity, permissions, network, compliance, and cost management. Now multi-tenancy and collaboration are seamless among personnel, finance, resources, permissions, and security compliance.

Flexible deployment: All mentioned Pangu model capabilities and services can work in public cloud, dedicated cloud, or hybrid cloud. For example, customers can build and run dedicated AI platform and foundation models in their existing data centers using Huawei Cloud Stack, a hybrid cloud solution.

The Mobile World Congress (MWC) 2024 is taking place in Barcelona from February 26 to 29. Huawei Cloud is set to collaborate with customers and partners to present a wide range of engaging topics. Additionally, innovative products and real-world cases covering Pangu models, GaussDB, data-AI convergence, virtual human, and software development will be showcased during the event.

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Cybersecurity fears drive a return to on-premise infrastructure from cloud computing – Help Net Security

Posted: at 12:17 am

42% of organizations surveyed in the US are considering or already have moved at least half of their cloud-based workloads back to on-premises infrastructures, a phenomenon known as cloud repatriation, according to Citrix.

The survey showed that 94% of respondents had been involved with a cloud repatriation project in the last three years.

Unexpected security issues (41%) and high project expectations (29%) were reported as the top drivers for moving some cloud-based workloads back to on-premises infrastructures. Another major driver was the failure to meet or properly set internal expectations, accounting for 23%.

After reflecting on their experience, IT leaders found that the most common reasons for cloud repatriation projects were security concerns, unexpected costs, performance issues, compatibility problems, and service downtime.

Over 29% of IT leaders found that moving projects from on-premises to the cloud was more expensive than expected, while 65% said it was financially predictable. The cost-benefit analysis of cloud versus on-premises infrastructure varies greatly depending on the organization.

Despite previously unsuccessful cloud projects, 70% of respondents are still encouraged to start new projects in the future. Instead of a complete cloud approach, IT leaders would recommend a mix of mostly cloud and some on-premises to the CIO.

Hybrid cloud infrastructures offer the best of both worlds across both public and private models. Organizations can optimize costs, seamlessly integrate systems, and experiment with innovation projects without compromising on agility or flexibility, said Calvin Hsu, VP of Product Management at Citrix.

As IT leaders consider utilizing a hybrid strategy, a key consideration is whether cloud or on-premises is the most secure for safeguarding sensitive information. In Citrixs study, 31% of respondents stated that they had fallen victim to the same number of cyberattacks regardless of whether data and applications were hosted on-premises or in a hybrid environment.

The experience of security vulnerabilities varied among different organizations, with some reporting fewer incidents on-premises while others experienced more.

Security is a top priority, and 93% of IT leaders agreed that cloud technologies can help prevent cybersecurity incidents. Moving workloads and cloud repatriation projects can pose a risk, and IT leaders are worried that these projects could make them vulnerable to a cyberattack. With benefits to both cloud and on-premises infrastructures, 50% of these IT leaders currently have projects in both cloud and on-premises.

Its clear that IT leaders are still trying to find the right balance between cloud and on-premises, Hsu added. With evolving demands and unexpected changes to priorities, enterprises need a model that allows them to scale resources up or down as required while maintaining security, compliance, and business performance.

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Cybersecurity fears drive a return to on-premise infrastructure from cloud computing – HealthLeaders Media

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42% of organizations surveyed in the US are considering or already have moved at least half of their cloud-based workloads back toon-premisesinfrastructures, a phenomenon known as cloud repatriation, according to Citrix Full story Share this: Tagged Under: business business strategy data interoperability management privacy security strategy technology

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Huawei Cloud: Infrastructure of Choice for AI with 10 Systematic Innovations Unveiled in MWC Barcelona 2024 – PR Newswire

Posted: at 12:17 am

BARCELONA, Spain, Feb. 25, 2024 /PRNewswire/ -- This year's Huawei Cloud Summit demonstrates how Huawei Cloud is the infrastructure of choice for AI applications. With the theme of "Accelerate Intelligence with Everything as a Service", the 500-strong event brought together executives and experts from diverse industries, such as carrier, finance, and Internet. Huawei Cloud presented 10 AI-oriented innovations and extensive industry expertise of Pangu models. The objective is an AI-ready infrastructure tailored to each industry for a faster journey towards intelligence.

Jacqueline Shi, President of Huawei Cloud Global Marketing and Sales Service, said in her speech: "Huawei Cloud is one of the fastest growing cloud service providers in the world. At Huawei Cloud, we're all about pushing boundaries and bringing cutting-edge tech to customers around the world. We have launched a series of local cloud Regions in recent years, such as in Ireland, Trkiye, Indonesia, Saudi Arabia, giving customers easy access to the best-performing cloud. With over 120 security certifications worldwide, you can be sure your business and data are safe and sound. But it is not just about the tech. We believe in helping our partners grow alongside us, and this goal is now backed by our GoCloud and GrowCloud programs. And let's not forget AI it is reshaping everything, and we're at the forefront. We're building a solid cloud foundation for everyone, for every industry, to accelerate intelligence."

Today's foundation models redefine production, interaction, service paradigms, and business models for traditional applications. They make AI a new engine for the growth of cloud computing. While the potential is vast, implementing AI in line with business objectives requires systematic innovation. Huawei Cloud CTO Bruno Zhang said that "Huawei Cloud will help you with two strategies. AI for Cloud uses AI and foundation models to elevate your experience. They revolutionize software development, digital content production, and more. Cloud for AI makes AI adoption seamless and efficient. Architectural innovation, AI-native storage, and data-AI convergence empower you to train and use AI like never before."

At the Summit, Huawei Cloud unveiled ten AI-oriented innovations that make it the cloud infrastructure of choice for AI.

KooVerse: Huawei Cloud has 85 AZs in 30 Regions across over 170 countries and regions. This global cloud infrastructure covering compute, storage, networking, and security pushes latency down to 50 ms.

Distributed QingTian architecture: Foundation models require a 10-fold growth in demand for compute resources every 18 months, far surpassing Moore's Law.To address this challenge, this architecture evolved from the conventional primary/secondary one. Built on a high-speed interconnect bus (Unified Bus), QingTian surpasses the limitations in compute, storage, and networking for a top-class AI compute backbone with heterogeneous, peer-to-peer, full-mesh computing.

AI compute: Hyperscale and stable, AI Cloud Service supports trillion-parameter model training, and training jobs can run uninterrupted on a cluster over thousands of cards for 30 days, 90% of the time. Service downtime stays within 10 minutes. It provides over 100 Pangu model capability sets and 100 adapted open source large models out of the box.

AI-Native storage: Training models needs mountains of data, and Huawei Cloud handles this demand with a three-pronged approach: EMS memory service stores petabytes of parameters with 220 TB ultra-large bandwidth and ultra-low latency down to the microsecond; SFS Turbo cache service for high throughput and concurrency of tens of millions IOPS enables warm-up of 1 billion data records in just 5 hours, not 100; Object Storage Service (OBS) knowledge lake reduces 30% costs in storing training and inference data.

E2E security: The full lifecycle covers model runtime environments, training data, the models themselves, generated content, and applications. This ensures robust, secure, and compliant models and applications.

GaussDB: This next-generation database features high availability, security, performance, flexibility, and intelligence, as well as simple and smart deployment and migration. Specifically, its enterprise-class distributed architecture ensures high availability thanks to zero intra-city dual-cluster RPO, complete isolation of software and hardware faults, and zero service downtime. For security, it is certified CC EAL4+, the highest level in the industry. For automation, GaussDB enhances database migration, deployment, and migration as the world's first AI-native database.

Data-AI convergence: The explosion of foundation models means "Data+AI" is now "Data4AI and AI4Data". Huawei Cloud LakeFormation unifies data lake from multiple lakes or warehouses so one copy of data is shared among multiple data analytics engines and AI engines without data migration. Three collaborative pipelines DataArts, ModelArts, and CodeArts then orchestrate and schedule data and AI workflows. They drive online model training and inference with real-time data. The AI4Data engine makes data governance more intelligent, from data integration, development, to quality and asset management.

Media infrastructure: In this AIGC and 3D Internet era, Huawei Cloud has built a media infrastructure of efficiency, experience, and evolution. For efficiency, Huawei Cloud MetaStudio, the content production pipeline that include Workspace and AIGC-based virtual humans, generates content more quickly and better. For experience, Huawei Cloud Live, Low Latency Live, and SparkRTC empower more seamless interactions. For evolution, Huawei Cloud provides AIGC and 3D space services with real-time user interaction. All these combine to boost the business and user experience to the next level.

Landing Zone: Enterprises use and manage resources better on Huawei Cloud thanks to unified account, identity, permissions, network, compliance, and cost management. Now multi-tenancy and collaboration are seamless among personnel, finance, resources, permissions, and security compliance.

Flexible deployment: All mentioned Pangu model capabilities and services can work in public cloud, dedicated cloud, or hybrid cloud. For example, customers can build and run dedicated AI platform and foundation models in their existing data centers using Huawei Cloud Stack, a hybrid cloud solution.

The Mobile World Congress (MWC) 2024 is taking place in Barcelona from February 26 to 29. Huawei Cloud is set to collaborate with customers and partners to present a wide range of engaging topics. Additionally, innovative products and real-world cases covering Pangu models, GaussDB, data-AI convergence, virtual human, and software development will be showcased during the event.

SOURCE HUAWEI CLOUD

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South Korea Boosts Cloud Computing with $91.5 Million Investment to Propel AI and SaaS Innovation – BNN Breaking

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South Korea Boosts Cloud Computing with $91.5 Million Investment to Propel AI and SaaS Innovation  BNN Breaking

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Science ministry to invest 121.9 bln won in cloud computing industry – Yonhap News Agency

Posted: at 12:17 am

SEOUL, Feb. 26 (Yonhap) -- The science ministry said Monday it will invest 121.9 billion won (US$91.5 million) to bolster the local cloud computing industry this year.

The budget marked a 17.2 billion won increase from the previous year's allocation, according to the Ministry of Science and ICT.

The ministry said cloud technology plays a key role in advancing artificial intelligence (AI) as it provides high performance computing capacity and massive data storage capabilities.

In detail, the ministry plans to inject 24 billion won into the development and commercialization of innovative cloud services, 7 billion won into cloud-based software as a service (SaaS), and 8 billion won into the transformation of software to SaaS.

Around 20 billion won is set aside to create an innovation fund for SaaS.

"We will foster cloud technology across industries and society and support the innovative growth of local cloud companies, including SaaS, in the era of AI sparked by Chat GPT," a science ministry official said.

An image illustrating cloud computing technology (Yonhap)

nyway@yna.co.kr (END)

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