infrastructure – Devstyler.io

Companies Unite to Create AI Tools for Enterprises

ninapetrova — Wed, 17 Apr 2024 11:53:34 +0000

The Linux Foundation has announced the launch of the Open Platform for Enterprise AI (OPEA), a project aimed at fostering the development of open, modular generative AI systems.

The project is led by the Linux Foundation’s LF AI and Data organization, which focuses on platform initiatives related to artificial intelligence and data.

LF AI and Data executive director Ibrahim Hadadt states in a press release that OPEA is expected to pave the way for the release of “fortified,” “scalable” generative AI systems that “leverage the best open source innovations from across the ecosystem.”

Other project members include Intel, IBM-owned Red Hat, Hugging Face, Domino Data Lab, MariaDB and VMware.

When asked what these companies can build together, Haddad hinted at several possibilities, such as “optimized” support for AI toolchains and compilers that allow AI workloads to run on different hardware components, as well as “heterogeneous” pipelines for generating augmented data (RAG). RAG is gaining popularity in enterprise applications of generative AI.

RAG models reference this external information – which can be in the form of proprietary company data, a public database, or some combination of the two – before generating a response or performing a task.

OPEA members say they are very interested in creating a toolkit for enterprise generative AI.

Although each of the companies has a different focus – Cloudera focuses on the cloud AI ecosystem, Domino offers generative AI applications for businesses, and VMware handles the infrastructure for AI – all have shown interest in AI development and have launched products and partnerships in this area.

However, the question of truly working together on developing compatible AI tools within OPEA remains open. Although companies may have different interests and strategies, collaboration is possible, especially if they have a common point that rests on the development of AI technologies.

Cloudflare Releases Three New Products

ninapetrova — Tue, 02 Apr 2024 13:25:45 +0000

Cloudflare announced the general availability (GA) release of three new products aimed at making it easier for teams to develop complete projects.

The first release is the serverless SQL D1 database. With this release, the GA platform also gets a number of features requested from the beta release, such as support for 10 GB databases, new data export functionality, and improved query debugging.

Other features that will be available in future versions of the platform include larger databases, more time travel capabilities for database branching, and new APIs for querying and creating databases.

Hyperdrive is the next version that Cloudflare has released. It allows users to transform regional databases into globally distributed databases.

Over the next few months, Cloudflare plans to add new features to Hyperdrive, including MySQL support, the ability to connect to databases on private networks, and more options to configure strategies and more.

The last of the company’s three new products is Workers Analytics Engine, which allows developers to add analytics capabilities to their products.

In addition to releasing the new products as GA, the company also announced two new features for its Queues product, which is in open beta. Users can now download messages and delay messages, which can be useful in situations where the underlying infrastructure has speed limits.

Microsoft and OpenAI Create $100 Billion Supercomputer

ninapetrova — Mon, 01 Apr 2024 12:24:25 +0000

Microsoft and OpenAI are expanding their partnership to develop an artificial intelligence supercomputer called “Stargate”. The tech giants’ ambitious project is valued at $100 billion.

The project will highlight the importance of advanced data centres that can meet the demands of cutting-edge artificial intelligence applications. The expansion of the partnership between the two companies marks a significant step towards unlocking the true potential of artificial intelligence.

The plan is to have the supercomputer up and running by 2028, with initial information that it will be deployed in the US. The project is part of a multi-phase initiative with a horizon of six years. It is divided into five phases, with Stargate representing the final stage. Microsoft is currently developing a smaller supercomputer for OpenAI that will be released in 2026.

A significant amount of investment is also being devoted to the creation of Stargate and the provision of artificial intelligence chips, which are essential to the supercomputer’s functionality.

Stargate is poised to become a transformative leap in artificial intelligence infrastructure.

According to insiders, there is a high probability that the cost of creating the supercomputer will be over $115 billion, which is significantly more than Microsoft’s capital expenditure on infrastructure last year.

The partnership between Microsoft and OpenAI is a strategic move to maintain its leadership in AI innovation. By investing in the development of Stargate and collaborating with industry stakeholders, Microsoft seeks to push the boundaries of AI’s capabilities and pave the way for transformative advancements in a variety of fields.

TIOBE Top 10 Programming Languages in March

ninapetrova — Fri, 22 Mar 2024 11:56:28 +0000

TIOBE Software reported no major changes to its list of the most popular programming languages this month. Python remains top of the list with 4.5%. To see which other programming languages ranked in the top 10 most used for the month of March, click here.

#1. PYTHON

Python is a versatile programming language that is commonly used in backend development and data science, making it an excellent choice for programming beginners.

#2. C

C is a programming language that is commonly used in application and systems development. Its syntax resembles that of other widely used languages and this makes it very suitable for beginner developers who want to develop.

#3. C++

C++ is a programming language that is very similar to C but includes classes and objects. It is among the most suitable languages for developing games and systems.

#4. JAVA

Java is a high-level object-oriented programming language and is a good choice for developing applications and websites.

#5. C#

C# is an object- and component-oriented programming language similar to C and Java. C# allows developers to create many types of secure and reliable applications that run in .NET.

#6. JAVASCRIPT

JavaScript is a programming language that is commonly used to develop applications, games, and websites as well as web servers. Although it is best known as a scripting language for web pages, many non-browser environments also use it, such as Node.js, Apache CouchDB, and Adobe Acrobat.

#7. SQL

SQL is designed specifically for database programming. This involves storing and processing information in a relational database. A relational database stores information in tabular form, with rows and columns representing the various relationships between data values.

#8. GO

Go is suitable for backend development and for working with APIs and web services. Go was originally designed for programs related to networks and infrastructure. It was intended to replace popular high-performance server-side languages such as Java and C++. Today, Go is used for a variety of applications, such as cloud applications and servers, DevOps, command line tools, and much more.

#9. SCRATCH

Scratch is a programming language created to teach kids the basics of programming. It is block-based, and website and serves as an educational tool, with a target audience of ages 8 to 16. Users of the website can create projects within it using a block-like interface.

#10. VISUAL BASIC

Visual Basic, sometimes also called Classic Visual Basic, is a programming language with a user interface suitable for frontend and full-stack development. It is the most widely used programming language for creating Windows applications. It is easy to learn and does not require you to memorize difficult commands like other programming languages.

Vultr Introduces Serverless AI Model Deployment Platform

ninapetrova — Tue, 19 Mar 2024 10:32:46 +0000

Vultr, a cloud computing platform, has launched a new serverless Inference-as-a-Service platform that offers AI-powered model deployment capabilities.

Vultr Cloud Inference offers customers scalability, lower latency and delivers cost efficiencies, the company said in the release.

Kevin Cochrane, chief marketing officer at Vultr says of the new platform that Vultr Cloud Inference provides a technology foundation with which organizations can deploy AI models globally, providing low-latency access and a consistent user experience across the world.

Vultr’s global infrastructure is powered by NVIDIA GPUs. With dedicated computer clusters available on six continents, Vultr Cloud Inference ensures that companies can comply with local data sovereignty, data residency, and privacy regulations by deploying their AI applications in regions that align with legal requirements and business objectives.

“The introduction of Vultr Cloud Inference will empower businesses to seamlessly integrate and deploy AI models trained on NVIDIA GPU infrastructure, helping them scale their AI applications globally”, said Matt McGrigg, director of global business development, cloud partners at NVIDIA.

With Vultr Cloud Inference, users can integrate and deploy their own models – regardless of the platforms on which they have been trained – into the Vultr infrastructure powered by NVIDIA GPUs.

Mark Zuckerberg Met with Japanese Prime Minister Fumio Kishida

ninapetrova — Tue, 27 Feb 2024 11:07:27 +0000

Mark Zuckerberg and Japanese Prime Minister Fumio Kishida discussed issues related to artificial intelligence, Reuters reports.

“We had a good, productive conversation about AI and the future of technology,” Zuckerberg said in brief comments to reporters at the prime minister’s residence in Tokyo.

The meeting between Zuckerberg and Kishida confirmed rumors that the Meta CEO will visit South Korea at the end of this month to discuss the topic of artificial intelligence with Samsung Electronics and possibly meet with the South Korean president.

Last week, Meta confirmed that Zuckerberg plans to visit South Korea.

Japan’s government and corporate sector are in a race to get back into rhythm along the development of artificial intelligence.

Last year Kishida met with OpenAI CEO Sam Altman and Nvidia CEO Jensen Huang to discuss AI regulation and infrastructure.

Microsoft Invests €2B in AI Infrastructure in Spain

ninapetrova — Wed, 21 Feb 2024 08:27:12 +0000

Microsoft will invest $2.1 billion to expand its artificial intelligence and cloud services infrastructure in Spain. The investment, which will be made over the next two years, was announced after Prime Minister Pedro Sanchez and Microsoft Corp President Brad Smith held a meeting earlier this week. It means quadrupling the flow of funds from the tech giant to the Iberian state.

La inversión de @Microsoft en España se va a cuadruplicar y llegará hasta los 1.950 M€.

Quiero agradecer a su presidente, @BradSmi, su confianza en la economía española y en nuestra hoja de ruta para una transformación digital inclusiva y segura.

Además, hemos analizado las… pic.twitter.com/0PG1tZL08e

— Pedro Sánchez (@sanchezcastejon) February 19, 2024

Smith said it was not just about building data centres, but a commitment to help develop the “security, development and digital transformation of the country’s government, businesses and people”.

He added that the tech giant has been investing in Spain for 37 years. In September 2021, the company announced that a new artificial intelligence technology research and development centre would be established in Barcelona. It was then that Alberto Granados, president of Microsoft Spain, said that Microsoft’s investment is proof that Spain has the necessary potential to develop the digital sector.

This is the second major investment Microsoft has made in Europe within a month. Recall that last week the company invested 3 billion euros in the development of the artificial intelligence ecosystem in Germany.

Similar to its plans in Spain, over the next two years Microsoft has pledged to invest the funds in strengthening the AI infrastructure in Germany, building new data centres and training people to develop AI skills.

Major technology companies are increasing their presence in Europe by investing in the development of artificial intelligence, which in turn coincides with the implementation of EU legislation on artificial intelligence.

Equinix Announces Fully Managed Service for NVIDIA DGX AI Supercomputing

ninapetrova — Tue, 20 Feb 2024 12:19:10 +0000

Equinix, Inc., the world’s digital infrastructure company, announced a fully managed private cloud service that enables enterprises to easily acquire and manage their own NVIDIA DGX AI supercomputing infrastructure for building and running custom generative AI models.

“To harness the incredible potential of generative AI, enterprises need adaptable, scalable hybrid infrastructure in their local markets to bring AI supercomputing to their data. Our new service provides customers a fast and cost-effective way to adopt advanced AI infrastructure that’s operated and managed by experts globally”, said Charles Meyers, president and CEO of Equinix.

The service is available now and includes NVIDIA DGX systems, NVIDIA networking and the NVIDIA AI Enterprise software platform. Equinix installs and operates each customer’s privately owned NVIDIA infrastructure and can deploy services on their behalf in key International Business Exchange™ (IBX) data centers globally.

“Generative AI is transforming every industry. Now, enterprises can own NVIDIA AI supercomputing and software, paired with the operational efficiency of Equinix management, in hundreds of data centers worldwide”, said Jensen Huang, founder and CEO of NVIDIA.

Scalable Service to Fuel Innovation Across Industries

Through the service, enterprises can scale their infrastructure operations to achieve the level of AI performance needed to develop and run massive models.

Early access companies using the service include leaders in biopharma, financial services, software, automotive and retail, which are building AI Centers of Excellence to provide a strategic foundation for a broad range of rapidly developing LLM use cases.

These include accelerating time to market for new medications, developing AI copilots for customer service agents and building virtual productivity assistants.

Easy Access to Privately Managed NVIDIA AI Supercomputing

Equinix’s fully managed NVIDIA AI supercomputing service enables customers to operate their AI infrastructure in close proximity to their data.

The service offers high-speed private network access to global network service providers, enabling quick generative AI information retrieval across corporate wide area networks. In addition, it provides private, high-bandwidth interconnections to cloud services and enterprise service providers to facilitate AI workloads while meeting data security and compliance requirements.

Using the service, customers can easily access their NVIDIA AI Enterprise software to streamline the development and deployment of production-grade AI applications, including generative AI. NVIDIA AI Enterprise includes pretrained models, optimized frameworks and accelerated data science software libraries—such as the NVIDIA NeMo™ framework for building LLMs, NVIDIA RAPIDS™ for data science, NVIDIA Clara for healthcare and NVIDIA TensorRT™–LLM for performance optimization of large language models.

Enterprise-Level Support

The comprehensive solution also features enterprise-grade support and security. This includes Equinix’s IBX data center professionals to help customers rapidly build and deploy their custom AI models, as well as access to NVIDIA AI experts.

The fully managed private cloud service is available today.

Samsung and Princeton University Join Efforts in 6G Research

ninapetrova — Wed, 14 Feb 2024 11:36:12 +0000

Princeton University

Samsung Research America (SRA) has joined Princeton University‘s new NextG Corporate Affiliates program, reports Telecoms News. The program brings together industry and academia for the sake of research in 6G wireless networks and related technologies.

“The best academic research to help realise the promise of future wireless networks is informed by close interactions between faculty and industry technology leaders. Our NextG program aims to foster those deep collaborations around wireless technology, as well as policy, that are required to drive meaningful innovation and global leadership in an era of rapid change”, said Andrea Goldsmith, Dean of Princeton’s School of Engineering and Applied Science.

The NextG initiative was launched last year at Princeton’s School of Engineering and Applied Science and aims to increasingly advance innovation in networking, sensing and other key areas that will be the foundation of next-generation data infrastructure.

“We encourage Princeton’s researchers to continue innovating and develop potentially disruptive 6G technologies,” said Dr Charlie Zhang, SVP at SRA.

With SRA chairing key 6G standardization groups, the company is now in a position to quickly translate Princeton’s insights into broader ecosystem developments.

With the new partnership, Samsung aims to take wireless networks into a new era in which 6G promises significantly higher speeds, lower latency and expanded opportunities for new mobile applications.

Amazon Has Created a Second-Gen AI Chip

ninapetrova — Mon, 04 Dec 2023 09:29:53 +0000

Amazon has developed a new chip specifically for training artificial intelligence models, HypeBeast reports. Created by Amazon’s Web Services division, the chip is called Trainium2 and is believed to be the most advanced AI chip to date.

The second-generation chip will train models four times faster than first-generation Trainium chips. The company plans to use the chips to train both base models and large language models – the latter include artificial intelligence chatbots such as Anthropic’s Claude.

“Silicon underpins every customer workload, making it a critical area of innovation for AWS. By focusing our chip designs on real workloads that matter to customers, we’re able to deliver the most advanced cloud infrastructure to them”, Vice President of Compute and Networking at AWS David Brown said.

Tranium2 made its debut in conjunction with Graviton4, a versatile chip built on ARM architecture specifically crafted for cloud computing.

In addition, Amazon introduced Amazon Q, a business-centric AI chatbot. This assistant is customizable to suit the unique needs of a customer’s business, offering capabilities such as answering questions, assisting in content generation, and more.