After initial efforts to attract semiconductor manufacturers to India stumbled, the government is trying again, keeping hopes alive that the country could emerge as a major chip maker at a time when a US-China trade war is transforming the industry and stirring worries about the technology supply chain.This week, after several potential deals fell through, the government is re-inviting applications to a program aimed at developing semiconductor manufacturing facilities and offering a total subsidy of around $10 billion (Rs 76,000 crore), according to a statement from India’s IT ministry.To read this article in full, please click here
Cisco plans to buy Armorblox, a six-year-old AI vendor, to help create “an AI-first Security Cloud.”“Leveraging Armorblox’s use of predictive and Generative AI across our portfolio, we will change the way our customers understand and interact with their security control points,” wrote Raj Chopra senior vice president and chief product officer for Cisco Security in a blog announcing the pending acquistion.While securing email was Armorblox’s first application of its AI techniques, they might also be applied to attack prediction, rapid threat detection, and efficient policy enforcement, Chopra wrote. “Through this acquisition though, we see many exciting broad security use cases and possibilities to unlock.”To read this article in full, please click here
Google Cloud has announced services for enterprises to more easily and securely connect distributed multicloud resources.The chief service, Cross-Cloud Interconnect, provides dedicated high-speed connections between the Google network and customer networks hosted in other clouds—Amazon Web Services, Microsoft Azure, Oracle Cloud Infrastructure, or Alibaba.“Cross-Cloud Interconnect lets organizations connect to any public cloud through a highly secure, dedicated-bandwidth network that has a much lower latency than going through an internet-based VPN solution,” said Muninder Sambi, vice president and general manager of networking for Google Cloud. “With the new service, customers can run their applications on multiple clouds, they can host SaaS applications that are multicloud, and they can also migrate workloads from one cloud to another.”To read this article in full, please click here
More than a year ago, Nvidia CEO Jensen Huang said he was open to the possibility of having Intel manufacture Nvidia’s GPUs through Intel's foundry services program.At the time, Huang was noncommittal beyond saying that Nvidia was looking at the possibility. Now things are getting more concrete. During a question-and-answer session at the Computex tradeshow in Taipei, Taiwan, Huang said he had recently received good results for an Intel test chip based on the company's next-generation process node."You know that we also manufacture with Samsung, and we're open to manufacturing with Intel. [Intel CEO Pat Gelsinger] has said in the past that we're evaluating the process, and we recently received the test chip results of their next-generation process, and the results look good," Huang said.To read this article in full, please click here
A software-development team caused quite a stir recently with a blog post describing how it abandoned a serverless architecture project in favor of a monolith—and slashed cloud infrastructure costs by 90% in the process.But this wasn’t just any team; the post was written by Marcin Kolny, a senior software-development engineer at Amazon Prime Video.Since Amazon is one of the leading advocates for serverless computing, not to mention the market leader in cloud services, the post was viewed as either a commendable act of openness or the very definition of throwing your company under the bus. Either way, it triggered a passionate back and forth on social media platforms that focused on larger questions:To read this article in full, please click here
Qualcomm has announced it is shifting its focus from providing chips exclusively for communications devices and doubling down on its efforts to support AI workloads.The company is transitioning to becoming an “intelligent edge computing” firm, Alex Katouzian, a senior vice president at Qualcomm, said during a keynote speech at the Computex show in Taipei Tuesday.AI workloads require a lot of compute power and in February, Qualcomm announced the Snapdragon X75, its latest 5G modem component that the company said will be the world’s first modem-RF system for 5G-Advanced — a set of specifications designed to improve speed, maximize coverage, and enhance mobility and power efficiency for mobile devices. The X75 is also reportedly able to process AI workloads 2.5 times faster than its predecessor, the X70.To read this article in full, please click here
Qualcomm has announced it is shifting its focus from providing chips exclusively for communications devices and doubling down on its efforts to support AI workloads.The company is transitioning to becoming an “intelligent edge computing” firm, Alex Katouzian, a senior vice president at Qualcomm, said during a keynote speech at the Computex show in Taipei Tuesday.AI workloads require a lot of compute power and in February, Qualcomm announced the Snapdragon X75, its latest 5G modem component that the company said will be the world’s first modem-RF system for 5G-Advanced — a set of specifications designed to improve speed, maximize coverage, and enhance mobility and power efficiency for mobile devices. The X75 is also reportedly able to process AI workloads 2.5 times faster than its predecessor, the X70.To read this article in full, please click here
With Nvidia’s Arm-based Grace processor at its core, the company has introduced a supercomputer designed to perform AI processing powered by a CPU/GPU combination.The new system, formally introduced at the Computex tech conference in Taipei the DGX GH200 supercomputer is powered by 256 Grace Hopper Superchips, technology that is a combination of Nvidia’s Grace CPU, a 72-core Arm processor designed for high-performance computing and the Hopper GPU. The two are connected by Nvidia’s proprietary NVLink-C2C high-speed interconnect.To read this article in full, please click here
Nvidia has unveiled a new DGX GH200 AI supercomputer, underpinned by its new Grace Hopper superchip and targeted toward developing and supporting large language models.“DGX GH200 AI supercomputers integrate Nvidia’s most advanced accelerated computing and networking technologies to expand the frontier of AI,” Nvidia CEO Jensen Huang said in a blog post.The supercomputer, according to Huang, combines the company’s GH200 Grace Hopper superchip and Nvidia’s NVLink and Switch System, to allow the development of large language models for generative AI language applications, recommender systems, and data analytics workloads.To read this article in full, please click here
Nvidia has unveiled a new DGX GH200 AI supercomputer, underpinned by its new Grace Hopper superchip and targeted toward developing and supporting large language models.“DGX GH200 AI supercomputers integrate Nvidia’s most advanced accelerated computing and networking technologies to expand the frontier of AI,” Nvidia CEO Jensen Huang said in a blog post.To read this article in full, please click here
The convert command from the ImageMagick suite of tools provides ways to make all sorts of changes to image files. Among these is an option to change the resolution of images. The syntax is simple, and the command runs extremely quickly. It can also convert a image from one format to another (e.g., jpg to png) as well as blur, crop, despeckle, dither, flip and join images and more.Although the commands and scripts in this post mostly focus on jpg files, the convert command also works with a large variety of other image files, including png, bmp, svg, tiff, gif and such.Basic resizing
To resize an image using the convert, you would use a command like this:To read this article in full, please click here
Intel has announced a shift in strategy that impacts its XPU and data-center product roadmap.XPU is an effort by Intel to combine multiple pieces of silicon into one package. The plan was to combine CPU, GPU, networking, FPGA, and AI accelerator and use software to choose the best processor for the task at hand.That’s an ambitious project, and it looks like Intel is admitting that it can’t do it, at least for now.Jeff McVeigh, corporate vice president and general manager of the Super Compute Group at Intel, provided an update to the data-center processor roadmap that involves taking a few steps back. Its proposed combination CPU and GPU, code-named Falcon Shores, will now be a GPU chip only.To read this article in full, please click here
It’s been 17 years and counting since Nemertes first wrote about the logic of integrating event response in the enterprise: bringing together the security operations center (SOC) and network operations center (NOC) at the organizational, operational, and technological levels. Needless to say, this has not happened at most organizations, although there has been a promising trend toward convergence in the monitoring and data management side of things. It’s worth revisiting the issue.Why converge?
The arguments for convergence remain pretty compelling:
Both the NOC and SOC are focused on keeping an eye on the systems and services comprising the IT environment; spotting and understanding anomalies; and spotting and responding to events and incidents that could affect or are affecting services to the business.
Both are focused on minimizing the effects of events and incidents on the business.
The streams of data they watch overlap hugely.
They often use the same systems (e.g. Splunk) in managing and exploring that data.
Both are focused on root-cause analysis based on those data streams.
Both adopt a tiered response approach, with first-line responders for “business as usual” operations and occurrences, and anywhere from one to three tiers of escalation to more senior engineers, Continue reading
The US Commerce Department should put trade restrictions on Chinese memory chip maker Changxin Memory Technologies (CXMT), say lawmakers on the US House of Representative’s Committee on China.The comments come in the wake of the Chinese government ban on the use of some Micron chips in certain sectors, citing concerns that the products pose a significant security risk to the country’s key information infrastructure supply chain.However, these claims are “not based in fact” White House press secretary Karine Jean-Pierre told reporters, adding that the Department of Commerce was engaged directly with the PRC (People's Republic of China) to detail the administration’s views on the ban.To read this article in full, please click here
Intel has launched a field-programmable gate array—Agilex 7 with R-Tile—that features PCIe 5.0 and CXL capabilities for processing networking workloads.The Agilex FPGA is primarily used in smartNICs that offload the processing of network traffic from the CPU, thus freeing up CPU capacity for other tasks. Intel sees Agilex playing a role in data centers, telecommunications, and financial services, among other high-traffic industries.Agilex is a rebranding of Intel’s Stratix and Arria FPGA lines that involves renumbering, with Agilex 3 being the low-end and Agilex 9 the high-end. So Agilex 7 is not the seventh generation of the chip but is the second most powerful processor in the family.To read this article in full, please click here
Microsoft is integrating Nvidia’s AI Enterprise software suite with its Azure Machine Learning service to help enterprise developers build, deploy, and manage applications based on large language models, it said Tuesday.Developers and enterprises will have access to over 100 frameworks, pretrained large language models, and development tools as part of AI Enterprise Suite integration with Microsoft’s Azure Machine Learning service, the companies said in a joint statement. For now, the integration is only available through an invitation-only preview in the Nvidia community registry.To read this article in full, please click here
Dell Technologies and Nvidia are jointly launching an initiative called Project Helix that will help enterprises to build and manage generative AI models on-premises, they said Tuesday.The companies will combine their hardware and software infrastructure in the project to support the complete generative AI lifecycle from infrastructure provisioning through modeling, training, fine-tuning, application development, and deployment, to deploying inference and streamlining results, they said in a joint statement.Dell will contribute its PowerEdge servers, such as the PowerEdge XE9680 and PowerEdge R760xa, which are optimized to deliver performance for generative AI training and AI inferencing, while Nvidia contribution to Project Helix, will be its H100 Tensor Core GPUs and Nvidia Networking to form the infrastructure backbone for generative AI workloads.To read this article in full, please click here
With Bed Bath & Beyond filing for bankruptcy last month, it’s liquidation-sale time. That doesn’t mean just blankets and cookware; it also includes its data center in North Carolina. Not just its servers but the whole facility.The data center in Claremont, N.C., was built in 2013 with a total of 47,500 square feet, 9,500 feet of which is raised floor space, with the ability to double the amount of raised floor space and boost the total power from 1MW to 3.5MW.It is rated a Tier III on the data-center ranking scale of I through IV. Tier III data centers have redundant components and infrastructure for power and cooling, with a guaranteed 99.982% availability.To read this article in full, please click here
The FCC’s latest spectrum policy announcement, which preserves 500MHz of the 12GHz band for satellite use while designating another 500MHz for terrestrial radios, is a recognition that satellite internet providers like Starlink are being heard, according to experts.The commission’s latest notice of proposed rulemaking, posted May 18, reflects a more even-handed approach than has been adopted in the past. In carving up the airwaves for C-band usage, substantial amounts of spectrum were taken away from incumbent satellite users and handed off to terrestrial operators, most notably major telecom providers.To read this article in full, please click here
You’d be hard pressed to find another technology that has been as useful, successful, and ultimately influential as Ethernet, and as it celebrates its 50th anniversary this week, it is clear that Ethernet’s journey is far from over.Since its invention by Bob Metcalf and David Boggs back in 1973, Ethernet has continuously been expanded and adapted to become the go-to Layer 2 protocol in computer networking across industries.To read this article in full, please click here
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