This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
To solve the problem, the company turned to gen AI and decided to use both commercial and opensource models. With security, many commercial providers use their customers data to train their models, says Ringdahl. Plus, some regions have data residency and other restrictive requirements. Finally, theres the price.
The continuous influx of open-source software (OSS) into enterprise IT departments is, in many ways, an enormous boon to both vendors and users. For end-users, one of the chief advantages is—at least in theory—the improved security that’s part of the usual sales pitch for opensource software.
At the Open Networking & Edge Summit in London, which is co-located with the Kubecon conference, LF Networking detailed an ambitious strategic roadmap that emphasizes the convergence of opensource, artificial intelligence, and cloud-native technologies as the foundation for next-generation networking infrastructure.
See also: US GPU export limits could bring cold war to AI, data center markets ] China has not said its last word yet. And thanks to the development of AI in the open-source model,hardware availability is no longer a problem, because models are voluntarily tested and improved by their users, e.g., from Europe.
If you’re considering migrating from DataStax Enterprise (DSE) to opensource Apache Cassandra®, our comprehensive guide is tailored for architects, engineers, and IT directors. Whether you’re motivated by cost savings, avoiding vendor lock-in, or embracing the vibrant open-source community, Apache Cassandra offers robust value.
In that report, we analyzed how the cloud-native ecosystem, driven by open-source software (OSS), has been powering architecture modernization across infrastructure and application development, enabling platform-driven innovation in the meantime across a spectrum of technology domains such as data […]
Cloud-based data warehouse-as-a-service provider Snowflake announced plans to acquire Streamlit, a provider of an open-source framework that makes it easier for developers and data scientists to build and share applications.
The open-source Wireshark network protocol analyzer has been a standard tool for networking professionals for decades. Stratoshark is designed to be agnostic to the specific cloud networking approach, focusing on collecting data at the endpoint level rather than relying on the networking layer.
There’s a new type of switch that could soon be showing up in AI-optimized data centers, a PCIe 6 fabric switch. The P series fabric switch is designed to optimize data transfer between various components of an AI server. The biggest use case is NIC-to-GPU data ingest,” Danesh said. Wireshark 4.4
Massive global demand for AI technology is causing data centers to increase spending on servers, power, and cooling infrastructure. As a result, data center CapEx spending will hit $1.1 As a result, just four companies Amazon, Google, Meta, and Microsoft will account for nearly half of global data center capex this year, he says.
The move relaxes Meta’s acceptable use policy restricting what others can do with the large language models it develops, and brings Llama ever so slightly closer to the generally accepted definition of open-source AI. As long as Meta keeps the training data confidential, CIOs need not be concerned about data privacy and security.
Data architecture definition Data architecture describes the structure of an organizations logical and physical data assets, and data management resources, according to The Open Group Architecture Framework (TOGAF). An organizations data architecture is the purview of data architects. Curate the data.
Interest in the open-source network operating system SONiC is rising as major networking vendors and start-ups look to offer resources to help enterprises give SONiC a try. The Linux-based NOS was created by Microsoft for its Azure data centers and then open-sourced by Microsoft in 2017. What is SONiC?
In this white paper, discover the key use cases that make Cassandra® such a compelling opensource software – and learn the important pitfalls to avoid.
Accenture reports that the top three sources of technical debt are enterprise applications, AI, and enterprise architecture. These areas are considerable issues, but what about data, security, culture, and addressing areas where past shortcuts are fast becoming todays liabilities?
Adding statistical noise to a data set can guarantee that there are no accidental information leaks. It's a difficult task, made easier by the open-source SmartNoise framework.
In todays economy, as the saying goes, data is the new gold a valuable asset from a financial standpoint. A similar transformation has occurred with data. More than 20 years ago, data within organizations was like scattered rocks on early Earth.
Broadcom on Tuesday released VMware Tanzu Data Services, a new “advanced service” for VMware Cloud Foundation (VCF), at VMware Explore Barcelona. VMware Tanzu for MySQL: “The classic web application backend that optimizes transactional data handling for cloud native environments.” Is it comprehensive? Is it comprehensive?
Apache Cassandra is an open-source distributed database that boasts an architecture that delivers high scalability, near 100% availability, and powerful read-and-write performance required for many data-heavy use cases.
Red Hat intends to democratize the power of AI through open-source-licensed models that can run anywhere. Its expertise in large language models along with Red Hat’s ability to support these models across the hybrid cloud aligns with Red Hat’s stated goal of making gen AI more accessible to more organizations.
Most AI workloads are deployed in private cloud or on-premises environments, driven by data locality and compliance needs. AI a primary driver in IT modernization and data mobility AI’s demand for data requires businesses to have a secure and accessible data strategy. Cost, by comparison, ranks a distant 10th.
The more likely the AI was trained using an author’s work as training data, the more likely it is that the output is going to look like that data.” This means the AI might spit out code that’s identical to proprietary code from its training data, which is a huge risk,” Badeev adds. The same goes for open-source stuff.
Even if you don’t have the training data or programming chops, you can take your favorite opensource model, tweak it, and release it under a new name. According to Stanford’s AI Index Report, released in April, 149 foundation models were released in 2023, two-thirds of them opensource.
With its unparalleled flexibility, rapid development and cost-saving capabilities, opensource is proving time and again that it’s the leader in data management. But as the growth in opensource adoption increases, so does the complexity of your data infrastructure.
For many stakeholders, there is plenty to love about opensource software. Developers tend to enjoy the ability to speed application development by borrowing opensource code. CFOs like the fact that opensource is often free or low in cost. The age-old question: How secure is opensource software?
Amazon Web Services (AWS) is urging its open-source Cloud Development Kit (CDK) users to apply fixes now available for a flaw that, under certain circumstances, can allow complete account takeover.
Over the last several years, NetBox has established itself as a widely used open-source tool for understanding and modeling networks. Everybody in this infrastructure space is using NetBox to address the demand for GPU infrastructure and AI data center infrastructure. NS1 was subsequently acquired by IBM.
What do you get when you combine an opensource platform, a massive and critically useful dataset, and an ability to open-source an AI foundation model? If you’re NASA, IBM, and Hugging Face, you get a massive opportunity to make geospatial data available to all through an opensource geospatial AI foundation model.
Cloud data lake engines aspire to deliver performance and efficiency breakthroughs that make the data lake a viable new home for many mainstream BI workloads. Key takeaways from the guide include: Why you should use a cloud data lake engine. What workloads are suitable for cloud data lake engines.
Networking software provider Aviz Networks today announced a $17 million Series A funding round to accelerate its growth in open networking solutions and artificial intelligence capabilities. In the past year, Aviz Networks has seen solid progress, with the company reporting a 400% increase in revenue compared to the previous year.
Some open-source projects are spectacularly successful and become standard components of the IT infrastructure. OpenTelemetry, a project of the Cloud Native Computing Foundation, is building momentum and is on track to become another open-source success story. Take Linux or Kubernetes, for example.
After more than a decade as an independent open-source foundation, the OpenStack project is joining theLinux Foundation in a move aimed at accelerating collaboration across the open infrastructure ecosystem. Fifteen years ago, Rackspace got together with NASA and created the open-source OpenStack project.
Accelerating advancements in cloud computing, big data, artificial intelligence, DevOps and modern web frameworks, open-source software drives industry success.
Speaker: Shreya Rajpal, Co-Founder and CEO at Guardrails AI & Travis Addair, Co-Founder and CTO at Predibase
However, productionizing LLMs comes with a unique set of challenges such as model brittleness, total cost of ownership, data governance and privacy, and the need for consistent, accurate outputs.
The next phase of this transformation requires an intelligent data infrastructure that can bring AI closer to enterprise data. The challenges of integrating data with AI workflows When I speak with our customers, the challenges they talk about involve integrating their data and their enterprise AI workflows.
The vendors AI Defense package offers protection to enterprise customers developing AI applications across models and cloud services, according to Tom Gillis, senior vice president and general manager of Ciscos Security, Data Center, Internet & Cloud Infrastructure groups. It uses AI to protect AI, Gillis added.
The AI infrastructure challenge for networking at hyper scale The demands of AI are changing the way data centers and particularly hyperscale data centers need to operate. While there are open-source networking stacks such as SONiC, at the hyperscaler layer, there is a need for an extreme level of customization.
As per the recent IDC InfoBrief “The Significance of OpenSource Software in the Digital-First Future Enterprise”, opensource software (OSS) is an important driver of enterprise digital innovation and provides greater agility, performance and security compared to proprietary software. Learn more about SUSE here.
The Allen Institute for AI (Ai2) released a supersized version of its Tlu 3 AI model, aiming to further advance the field of open-source artificial intelligence and demonstrate its own techniques for enhancing the capabilities of AI models. Tlu 3 405B is “the largest fully open-source post-trained model to date,” Ai2 said.
NetBox Labs is the lead commercial sponsor behind the widely deployed opensource NetBox technology, which is used for modeling and documenting networks. Beevers explained that NetBox Discovery makes it easy for operators to do two things: Get data into NetBox right away. NS1 was subsequently acquired by IBM.
Edgecore Networks is taking the wraps off its latest data center networking hardware, the 400G-optimized DCS511 spine switch. This feature enables long-range, high-speed connections crucial for distributed data center architectures. Terabits per second. Read more networking news Ciena and Arelion achieve 1.6
In its recent earnings call, AMD CEO Lisa Su underscored that the data center and AI business is now pivotal to the company’s future, expecting a 98% growth in this segment for 2024. However, on a deeper look, the Q3 results showed both strengths and challenges: while total revenue rose by 18% to $6.8
To keep up, IT must be able to rapidly design and deliver application architectures that not only meet the business needs of the company but also meet data recovery and compliance mandates. Moving applications between data center, edge, and cloud environments is no simple task. Typically, IT must create two separate environments.
We organize all of the trending information in your field so you don't have to. Join 83,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content