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The United States has been trying to counteract the popularization of technological solutions from China for years, often taking steps that are contrary to the development of an open market. China is pushing the boundaries of its own AI development every few weeks, and its results are already a serious threat to Western technology.
Founded in 2017, Astera Labs is a semiconductor company that specializes in developing connectivity technologies for AI and cloud infrastructure. fabric switch GPUs and AI acceleration technologies typically connect to a hardware motherboard via a PCIe (PCI Express) slot connection. Scorpio PCIe 6.0 Wireshark 4.4 Wireshark 4.4
Virtualization technology provider VMware has announced that it is partnering with AMD, Samsung, and members of the RISC-V keystone community for the development and operations of confidential computing applications. To read this article in full, please click here
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. A growing community of developers and users believe SONiC could change the way many large enterprises, hyperscalers and service providers run their networks.
NextHop AI, founded by former Arista Networks Chief Operating Officer Anshul Sadana, announced this week that it has secured $110 million in funding to develop highly customized networking solutions specifically for the worlds largest cloud providers. The key to success for hyperscalers is being highly optimized at every level of the stack.
What CIOs can do: Avoid and reduce data debt by incorporating data governance and analytics responsibilities in agile data teams , implementing data observability , and developing data quality metrics. AI debt that will require significant rework Gen AI tools and capabilities are introducing new sources of technical debt.
While its still possible to run applications on bare metal, that approach doesnt fully optimize hardware utilization. With virtualization, one physical piece of hardware can be abstracted or virtualized to enable more workloads to run. The KubeVirt open-source project was started by Linux vendor Red Hat in 2016.
Advanced Micro Devices (AMD) is laying off 4% of its global workforce, around 1,000 employees, as it pivots resources to developing AI-focused chips. This marks a strategic shift by AMD to challenge Nvidia’s lead in the sector. “As
Software development and IT Cognition released Devin, billed as the worlds first AI software engineer, in March last year. But there are already some jobs specifically in the software development lifecycle poised to be aided by AI agents. Weve developed our own agentic AI for code management, says Charles Clancy, CTO at Mitre.
When AI agents begin to proliferate, a new, open structure will be needed so they can securely communicate and collaborate together to solve complex problems, suggests Cisco. For example, Microsoft has talked about how AI agents will impact application development.
Forrester analyst Naveen Chhabra has developed an approach for thinking about server virtualization strategy across two dimensions: time to license renewal against number of VMware software tools in use. It requires buying new hardware, which could end up negating any cost savings associated with getting off the VMware bundle.
Sovereign AI refers to a national or regional effort to develop and control artificial intelligence (AI) systems, independent of the large non-EU foreign private tech platforms that currently dominate the field. This is essential for strategic autonomy or reliance on potentially biased or insecure AI models developed elsewhere.
Edgecore Networks is taking the wraps off its latest data center networking hardware, the 400G-optimized DCS511 spine switch. This new hardware offering aims to address the increasing demands of modern computing infrastructures, particularly in the realms of cloud computing and artificial intelligence. Terabits per second.
IBMs primary case is that the defendants breached, or procured breach of, the ICA [IBM customer agreement], using Winsopias access to the IBM mainframe software to develop the SDM by unlawful reverse engineering of the licensed software, the court wrote.
During my career I have developed a few mottos. For example, a legacy, expensive, and difficult-to-support system runs on proprietary hardware that runs a proprietary operating system, database, and application. However, it is possible to run the database and application on an opensource operating system and commodity hardware.
The Allen Institute for AI (Ai2) released its first on-device AI app Tuesday morning, leveraging a version of its open-source OLMoE model that can run offline on Apple iOS devices, promising new levels of security and privacy. Ai2’s OLMoE was introduced in September 2024 , developed by Ai2 and Contextual AI.
L3AF is an open-source project aimed at simplifying monitoring and control networks of large-scale cloud applications, Ranny Haiby, CTO of networking, edge and access at the Linux Foundation, told Network World.Some of the main use cases for L3AF are in traffic rate limiting, DDoS mitigation, traffic quality monitoring and network observability.
Nokia is offering customers an alternative way to set up data center networks by expanding its data center fabric package to support the open-source Software for Open Networking in the Cloud ( SONiC ). The SONiC community has grown significantly since and now features some 4,000 contributors and 28 paying members.
F5 this week said it’s working with Intel to offer customers a way to develop and securely deliver AI-based inference models and workloads. The package will offer customers protection, scalability, and performance for advanced AI inference development, the vendors said.
Chinese AI startup DeepSeek made a big splash last week when it unveiled an open-source version of its reasoning model, DeepSeek-R1, claiming performance superior to OpenAIs o1 generative pre-trained transformer (GPT). The most advanced new models will still have high R&D and compute costs thatll be passed on to early adopters.
Opensource and Linux platform vendor SUSE is looking to help organizations solve some of the complexity and challenges of edge computing with the company’s SUSE Edge 3.1 Tb/s of switching capacity with support for open-source network operating systems including SONiC. release, announced today. In SUSE Edge 3.1,
With Multislice, developers can scale workloads up to tens of thousands of chips over inter-chip interconnect (ICI) within a single pod, or across multiple pods over a data center network,” Vahdat explained last year in a blog post co-written with his colleague Mark Lohmeyer. Google launched the first iteration of its TPU in 2016.
Microsoft wants to give opensource datacentre hardwaredevelopers earlier access to its designs to speed up the time it takes to bring new products to market with Project Olympus
These roles include data scientist, machine learning engineer, software engineer, research scientist, full-stack developer, deep learning engineer, software architect, and field programmable gate array (FPGA) engineer. Torch enables fast and efficient GPU support, focusing on improving flexibility and speed when building complex algorithms.
Fusion-io Accelerates Flash Apps With OpenSource Contributions. Fusion-io Accelerates Flash Apps With OpenSource Contributions. He has served many roles in the data center, including support, system administration, web development and facility management. By: John Rath July 23rd, 2013. and Percona Server 5.5.31.
Now, as developers scramble to test it, the model has already raised alarm bells for leading Western AI companies like OpenAI not only for its raw power and efficiency, but for where it can run: a Mac Studio M3 Ultra. Even so, the fact that DeepSeek-V3-0324 can run locally on this hardware is remarkable. No splashy press briefings.
Developing and deploying successful AI can be an expensive process with a high risk of failure. Here are six tips for developing and deploying AI without huge investments in expert staff or exotic hardware. Instead, start with a foundation model that has an active developer ecosystem and a healthy application portfolio.
Nvidia NIMs are packaged-up open-source generative AI applications , such as Llama and Mistral, together with APIs and the accelerators needed to run them most effectively on Nvidia’s GPUs. This helps accelerate development by consolidating key capabilities needed by all enterprise organizations into a single package,” Nguyen says.
Dylan Barrie is a game developer and hardware hobbyist. However, he started developing a custom, full-stack GPU four years ago in his spare time. Over the last fourteen years of his career in the game industry, Barrie primarily focused on the software side of graphics rendering. Read Entire Article
Intel has set up a new company, Articul8 AI, to sell enterprise generative AI software it developed. The new entity will use an Intel generative AI system that can read text and images using a combination of open-source and in-house technology. The new company’s investors include global investment firm DigitalBridge Ventures.
This is opening up an opportunity for AI as a service , provided by major cloud service providers, where a company can have the AI training done on the expensive hardware without having to make a major capital investment in hardware they only need once and then do the updates or inferencing with their own gear.
First, its re-imaging or, in some cases, hardware replacement, depending on the depth of the infection. According to Lumen researchers, vulnerable routers are compromised by a variant of the opensource cd00r backdoor, aimed at devices running UNIX, that has a passive agent looking for devices with five parameters.
The paper captures design considerations for enterprise technologists that flow from the engineering work both Cloudera and Intel have been putting into both opensource technologies and hardware design.
In bps case, the multiple generations of IT hardware and software have been made even more complex by the scope and variety of the companys operations, from oil exploration to electric vehicle (EV) charging machines to the ordinary office activities of a corporation. This refactoring helps to set the base for digital transformation.
The paper captures design considerations for enterprise technologists that flow from the engineering work both Cloudera and Intel have been putting into both opensource technologies and hardware design.
“By understanding their options and leveraging GPU-as-a-service, CIOs can optimize genAI hardware costs and maintain processing power for innovation.” Richer also believes that cloud-based GPU access will help enterprises free up IT resources for other critical tasks and “potentially streamline the development process for genAI projects.”
In the last few years opensource has transformed the software industry. From Android to Wikipedia, opensource is everywhere, but how does one succeed in it? What Every Successful OpenSource Project Needs. Former Chief Developer Advocate @ MongoDB, ? OpenSource is taking over the world.
Just a few years ago, data scientists worked with the command line and a few good opensource packages. The notebook code itself is opensource, making it merely the beginning of a number of exciting bigger projects for curating data, supporting coursework, or just sharing ideas. Integrated development environments.
OpenWrt is 20 years old, and its developers have decided to properly celebrate this important milestone with a new community-driven project. OpenWrt One, the first 'fully upstream supported' hardware design in the history of the open-source project, is a hardware platform built around the OpenWrt firmware.
Retrain and fine-tune an existing model Retraining proprietary or open-source models on specific datasets creates smaller, more refined models that can produce accurate results with lower-cost cloud instances or local hardware. Fortunately, most organizations can build on publicly available proprietary or open-source models.
These problems are exacerbated by a lack of hardware designed for ML use cases. Gartner reports, “86% of organizations identified at least one of the following areas as a weak link in their AI infrastructure stack: GPU processing, CPU processing, data storage, networking, resource sharing, or integrated development environments.”.
How important is opensource software and the innovation it provides? Opensource is very important, and I believe it’s a key way to accelerate innovation. The open-source community has already solved some of the hard problems we face, and they’ve done so with really innovative solutions.
For most organizations, it is employed to transform data into value in the form of improved revenue, reduced costs, business agility, improved customer experience, the development of new products, and the like. TensorFlow: Developed by Google and licensed under Apache License 2.0, Data science vs. data analytics. Data science tools.
There are clear caveats in the HCI world: limitless control is all well and good, but infrastructure details like lack of local storage and slow networking hardware restricting I/O would always define the hard limits on what is possible. Worries around vendor lock-in surround the black-box nature of HCI-in-a-box appliances, too.
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