Arm has announced its new flagship GPU Immortalis, the first of its kind to include hardware-based ray tracing on mobile.

As PC and the latest Xbox Series X and PS5 consoles gradually move toward ray-tracing visuals, the Immortalis-G715 is designed to be the first GPU from Arm to do the same across Android phones and tablets.

Immortalis is built on Mali, the graphics processing unit used by the likes of Mediatek and Samsung. The company took into account the presence of between 10 and 16 cores. Arm also promises a 15% increase over the previous generation of premium Mali GPUs.

The company sees Immortalis as the beginning of the transition to mobile ray tracing after its success with 8 billion Mali GPUs shipped so far.

The challenge is that ray tracing technologies can use a significant amount of charge, computing power, and space across a mobile phone system on a chip.

However, ray tracing via Immortalis-G715 uses 4% of the base shading area. While it delivers more than 300% performance improvements through hardware acceleration.

And it’s unclear if the 3x acceleration on software-based ray tracing might be enough to entice game developers. But when NVIDIA introduced the ray tracing-accelerated hardware in the RTX 2080, it announced a 2- to 3-fold boost in that time.

The technology may be useful in augmented reality applications where ray tracing can be used to match virtual lighting with the real world environment around you.

And Arm introduces software-based ray tracing on the Mali-G710. But the promise of hardware support means seeing flagship smartphones with this chip at the beginning of 2023.

Samsung also announced the Exynos 2200 chip with hardware-based ray tracing earlier this year. As a result, manufacturers are preparing for the arrival of toys.

Arm’s first GPU

Arm has decided to offer hardware-based radiology support now via the Immortalis-G715 because partners and hardware are ready. And the developer ecosystem is about to get ready.

The company offers two examples of ray tracing via its new mobile GPUs. There is no clear commitment from any game developers yet.

The company believes this technology has a strong position, but it is taking some time, indicating that we could see some interesting mobile experiences over the next year or so.

Arm also has an update to the main Mali line with the Mali-G715. This GPU includes variable rate shaders to enhance gaming performance and save mobile power.

And variable rate shading essentially shows the parts of the scene in the game that require more detail. As a result, the details in the background do not need the same amount of rendering processing.

And when variable rate shading was enabled on gaming content, the company saw improvements of up to 40% on frames per second.

Other improvements mean these new Arm GPUs see a 15% improvement in power efficiency over the previous Mali-G710 GPU introduced last year.

Epic Games supports the Immortalis GPU via its Unreal engine, along with MediaTek and Unity. But the real test is how many mobile game developers are implementing ray tracing. Arm says ray tracing uses the Vulkan API.

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A Linux botnet malware known as XorDdos has witnessed a 254% surge in activity over the last six months, according to latest research from Microsoft.

The trojan, so named for carrying out denial-of-service attacks on Linux systems and its use of XOR-based encryption for communications with its command-and-control (C2) server, is known to have been active since at least 2014.

“XorDdos’ modular nature provides attackers with a versatile trojan capable of infecting a variety of Linux system architectures,” Ratnesh Pandey, Yevgeny Kulakov, and Jonathan Bar Or of the Microsoft 365 Defender Research Team said in an exhaustive deep-dive of the malware.

“Its SSH brute-force attacks are a relatively simple yet effective technique for gaining root access over a number of potential targets.”

Remote control over vulnerable IoT and other internet-connected devices is gained by means of secure shell (SSH) brute-force attacks, enabling the malware to form a botnet capable of carrying distributed denial-of-service (DDoS) attacks.

Besides being compiled for ARM, x86, and x64 architectures, the malware is designed to support different Linux distributions, not to mention come with features to siphon touchy information, install a rootkit, and act as a vector for follow-on activities.

In a further sign that the malware could act as a conduit for other threats, devices originally breached with XorDdos are being subsequently infected with another Linux trojan called Tsunami, which then deploys the XMRig coin miner.

In recent years, XorDdos has targeted unprotected Docker servers with exposed ports (2375), using victimized systems to overwhelm a target network or service with fake traffic in order to render it inaccessible.

XorDdos has since emerged as the top Linux-targeted threat in 2021, followed by Mirai and Mozi, accounting for more than 22% of all IoT malware observed in the wild, per cybersecurity firm CrowdStrike.

“XorDdos uses evasion and persistence mechanisms that allow its operations to remain robust and stealthy,” the researchers noted.

“Its evasion capabilities include obfuscating the malware’s activities, evading rule-based detection mechanisms and hash-based malicious dossier lookup, as well as using anti-forensic techniques to break process tree-based analysis.”

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Total revenue for 2021 increased 35% to $2.7 billion with strong growth in both fairness and non-franchise revenue.
2021 (non-grant) licensing revenue increased 61% to $1.13 billion as ARM ‘s expanded portfolio and new business models such as Arm Bendy Access gave more customers more reasons and more ways to license Arm technology.
2021 revenue from equity increased 20% to a record $1.54 billion, boosted by continued strong growth in 5G smartphones, more ADAS and IVI chips in cars, and price increases in 32-bit microcontrollers.
Adjusted EBITDA increased 68% year over year to $1 billion, giving an adjusted EBITDA margin of 37%.
29.2 billion chips were shipped in fiscal year 21, including almost 8 billion (7.8) in the fourth quarter.
With more than 225 billion arm-based chips shipped by ARM, they have the world’s largest computing footprint and a unique understanding of the entire computing spectrum.

“The benchmark results show that the demand for Arm technology and the power of the Arm ecosystem has never been greater – ARM’s computing platform will power the next set of technology revolutions across cloud computing, automotive and autonomous systems, the Internet of Matters, Metaverse and beyond,” said Rene Haas, President Arm Company Executive. “As we look to a future built on Arm, our priority is to continue delivering our business strategy, empowering partners with the solutions they need by further investing in our engineering talent and roadmaps, along with our ecosystem to redefine the future of computing. ”

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It should be famous that with Jetson products it is always necessary to distinguish between the complete development kit, which can be used as a stand-alone solution, and so-called production modules, which after development can be used in total robots and comparable products, such as surveillance cameras. assisted by AI or, for example, autonomous transport vehicles in factories.

Orin is a SoC with ARM Cortex-A78 cores and Ampere GPU, which is also used for driving assistance systems.

Jetson AGX Orin Development Kit for $1,999

Until now, Jetson Xavier was the top model in the NVIDIA portfolio, but today this position is occupied by Jetson AGX Orin with 275 TOPS (INT8). This is an even bigger variant than what Nvidia had promised last fall, with up to 200 TOPS. The Jetson AGX Orin development kit can be ordered now from NVIDIA for $1,999 before tax. The development kit offers developers 275 TOPS, a CPU with twelve ARM Cortex-A78, an Ampere GPU with 2,048 CUDA cores and 64 Tensor cores, as well as 32 GB of LPDDR5 RAM with 204.8 GB/s of bandwidth. . As storage for the user, it has 64 GB of eMMC 5.1. The chip also offers various video encoders for 4K and FHD and decoders for 8K, 4K and FHD.

Production modules from 70 to 275 TOPS

The Jetson AGX Orin is the all-in-one solution for developers, while the pure production modules, without a case, are intended for production. They are offered as a large 100×87mm board with the 699-pin Molex Mirror Mezz connector or as a smaller 69.9×45mm 260-pin plug-in card with an Nvidia SO-DIMM connector. The performance and price of these modules range from TOPS 70 to TOPS 275 and $399 to $1,599 before tax, respectively, when a minimum of 1,000 units are purchased. Nvidia plans to distribute the modules in the course of the fourth quarter.

Jetson AGX Orin delivers 275 trillion operations per moment, providing customers with more than 8 times the processing power of its predecessor, Jetson AGX Xavier, while maintaining the same palm-sized form factor and compatibility. of pins, all at a similar price. It features an NVIDIA Ampere architecture GPU, Arm Cortex-A78AE CPUs, next-generation machine vision and deep learning accelerators, high-speed interfaces, increased reminiscence bandwidth, and multi-modal sensor support to power multiple AI application pipelines. concurrent.

“As AI transforms manufacturing, healthcare, retail, transportation, smart cities, and other fundamental sectors of the economy, the demand for computing continues to rise,” said Deepu Talla, Vice President of Embedded and Edge Computing at NVIDIA . “One million developers and more than 6,000 companies have already turned to Jetson. The availability of Jetson AGX Orin will empower industry-wide efforts to build the next generation of edge AI and robotics products.”

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The challenge is compounded by the skills hole many companies face. According to Gartner, responding IT executives cited talent availability as the top adoption risk for the majority of IT automation technologies (75%). Companies need IT skills to administer automation technologies.

To help organizations overcome these challenges, IBM and Flexera have developed integrations with Turbonomic ARM and Flexera One to help visualize their IT health from on-premise to SaaS to cloud. Companies can then automate the manual tasks of optimizing software licenses and resources. Turbonomic ARM is designed to continuously monitor and help improve application performance and governance by dynamically allocating resources across multi-cloud and hybrid environments to reduce costs. The combination of Turbonomic ARM with software license data, usage data and Flexera One information is designed to help companies mitigate the risk of software non-compliance penalties to minimize surprise bills. The integrated solution also helps identify areas of under-utilization so companies can find ways to balance overall costs and help ensure their resources are being optimized for performance.

“IT professionals have what is in theory a simple mandate, to preserve and improve IT operations. But in the face of labor shortages, geographic disruptions, security threats, spikes in demand, environmental pressures and much more, we know that assembly this mandate is anything but simple, in fact the complexity is increasing. greater,” said Dinesh Nirmal, General Manager of IBM Automation. “IBM’s collaboration with Flexera adds to our automation portfolio and complements our strategic acquisitions of Turbonomic and Instana, as well as years of AI research and development to supply organizations with a one-stop-shop for IT and IT automation capabilities. business designed to meet these complex challenges.”

“Through this collaboration, we have the possibility to offer customers a seamless experience using an AI-driven technology value optimization solution,” said Jim Ryan, President and CEO of Flexera. “Flexera and IBM are providing a dashboard with real-time insights and informed cost optimization. Now we can help our customers right-size their software portfolio, with applications deployed across multiple clouds, data centers and architectures.”

In addition to new integrations with Turbonomic ARM, IBM is also launching Flexera One with IBM Observability to offer organizations a comprehensive solution, backed by IBM support and service level agreements, to monitor and visualize their entire software estate. , applications and infrastructure in cloud and on-premises environments. Flexera One with IBM Observability will be available as a SaaS solution on March 18, 2022.

Additionally, IBM Software customers can now use Flexera One’s IT asset management component with IBM Observability or Flexera’s Flexera One as a certified option to cope their IBM software licenses alongside other vendors with a unmarried solution.

Flexera One with IBM Observability or Flexera One as a certified option to administer your IBM software licenses alongside other vendors with a unmarried solution.

Last year, IBM acquired Turbonomic to provide enterprises with full-stack application observability and management to ensure performance, minimize costs and optimize resources such as containers, virtual machines, servers, storage, networking and databases. Organizations such as Grupo Capita use Turbonomic to assure application performance.

“Turbonomic’s automation platform enables us as a business to become a more agile service provider,” said Jerry Aherne, Director of Infrastructure Operations at The Capita Group. “It has enabled us to make informed proactive divisions that ensure application performance comes first and foremost while ensuring costs are kept to a minimum.”

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Built on the ARM architecture, the 8cx Gen 3 is the first 5nm chip to come to a Windows PC, promising an 85% CPU performance boost compared to the preceding 7nm Snapdragon 8cx Gen 2, as well as a 60% increase in GPU performance.

According to the company, the chip is more efficient per watt, since the CPU contains high-performance cores for the most demanding tasks and low-power cores for the least effortful processes.

The combination of the two is intended to improve battery performance for slim and lightweight notebook users by making the chip’s power consumption more efficient. Qualcomm claims that users can get 25 hours of use from a device on a single charge, pointing out that it also depends on the device, mannequin and workloads.

Qualcomm stresses that connectivity options “are more generous on the 8cx Gen 3, with support for Qualcomm’s latest 5G modem to reach maximum 5G speeds of 10 Gbits/sec for when users are on the go.”

The 8cx Gen 3 also features Wi-Fi 6E for the first time to access the latest 6Ghz spectrum and achieve faster speeds with lower latencies, as long as users have a router that supports the latest standard. Users will also be able to put through to other older Wi-Fi standards without issue.

Innovation in artificial intelligence

Innovations in the realm of artificial intelligence (AI) have also improved, with Qualcomm claiming that the chip offers three times more AI processing power than previous generations.

It supports AI-accelerated processes, such as Microsoft’s Eye Contact for virtual meetings, a feature that makes meeting participants appear to be looking at the camera when they’re actually looking at the screen.

Manufacturers will be able to choose from a range of Qualcomm 5G modems depending on the measure of mobile connectivity they want in their laptops. They will be able to select between the Snapdragon X65 Modem-RF system to receive the maximum 5G speeds of up to 10 Gbits/sec or go down to 7.5 Gbits/sec with the Snapdragon X55 Modem-RF system.

The 8xc Gen 3 also features a new base version, the Snapdragon 7c+ Gen 3, which promises up to 40% better CPU performance and 35% more graphics performance on a 6nm architecture.

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