InfoQ Homepage Hardware Content on InfoQ
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General-Purpose and Compute-Intensive Amazon EC2 Graviton4 Instances Now Available
AWS has recently released the EC2 C8g and M8g instances, powered by the latest Graviton4 processors. The general-purpose M8g and compute-intensive C8g instances are designed to deliver up to 30% better performance compared to Graviton3-based instances, with a cost increase of approximately 10% over the previous M7g and C7g generations.
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GhostWrite Vulnerability in C910 and C920 RISC-V CPUs
CISPA security researchers have discovered a vulnerability they’ve called ‘GhostWrite’ that’s caused by a hardware bug in T-Head’s XuanTie C910 and C920 RISC-V CPUs. Vector extensions that are supposed to provide translation of virtual memory addresses to physical addresses don’t work, meaning that an attacker can gain access to the contents of memory and any attached devices.
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Cloudflare Introduces Advanced Load Balancing to Eliminate Hardware Dependency
Cloudflare recently unveiled significant advancements in its load balancing capabilities, aiming to eliminate the need for hardware-based solutions. The company’s latest enhancements integrate seamlessly with Cloudflare One, providing end-to-end private traffic flow support and WARP authenticated device traffic.
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Amazon EC2 R8g Instances with AWS Graviton4 Processors Generally Available
AWS has announced the general availability of Amazon EC2 R8g instances, which use AWS Graviton4 processors. These instances have been available in preview since November 2023 and are designed for memory-intensive workloads such as databases, in-memory caches, and real-time big data analytics.
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How to Build Large Scale Cyber-Physical Systems
To build large-scale safety-critical systems, we need to decompose the system into smaller solvable problems, resolve what is known, and resolve unknowns through experiments, Robin Yeman argued. She suggested investing in test environments for both software and hardware early to enable being test-driven early to increase the safety, security, reliability, and availability of the systems.
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Axion Processor: Google Announces Its First Arm-Based CPU
During the recent Google Next '24 conference, Google unveiled Axion, its first custom Arm-based CPUs designed for data centers. Utilizing the Arm Neoverse V2 CPU architecture, the new processor will be available to customers later this year.
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The Challenges of Building Cyber-Physical Systems
There are several challenges in building hardware-reliant cyber-physical systems, such as hardware lead times, organisational structure, common language, system decomposition, cross-team communication, alignment, and culture. A solution to such challenges is to apply agile at the systems level, and to architect both hardware and software into modular components.
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AWS Unveils Fourth-Generation Graviton Processor with R8g EC2 Instances
During the recent re:Invent, AWS announced the preview of memory-optimized R8g instances powered by the fourth-generation Graviton processor. The new instances are designed for memory-intensive workloads, including databases, in-memory caches, and real-time big data analytics.
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Microsoft Open-Sources ThreadX and the Azure RTOS Development Suite
Microsoft contributed Azure RTOS, including real-time OS ThreadX, to the Eclipse Foundation and made it available under the MIT license.
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AWS Introduces M7a General Purpose AMD Genoa Instances
Amazon recently announced the availability of the M7a instances powered by the 4th generation AMD EPYC (Genoa) processors. The new general-purpose instances are priced higher than the previous generation AMD M6a and the latest Intel M7i instances.
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Building Cyber-Physical Systems with Agile: Learnings from QCon New York
In her QCon New York 2023 talk Success Patterns for building Cyber-Physical Systems with Agile, Robin Yeman explored how we can use agile practices at scale for large initiatives with multiple teams, building cyber-physical safety-critical systems with a scope that includes software, firmware, and hardware development.
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Azure Previews ND H100 V5 Virtual Machines to Accelerate Generative AI
Azure recently announced the preview of the ND H100 v5, virtual machines that integrate the latest Nvidia H100 Tensor Core GPUs and support Quantum-2 InfiniBand networking. According to Microsoft, the new option will offer AI developers improved performance and scaling across thousands of GPUs.
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Intel oneDAL Available in ML.NET
The first preview release of ML.NET 3.0, available since December, contains the integration with Intel oneAPI Data Analytics Library that leverages SIMD extensions on 64-bit architectures, which are available on Intel and AMD processors.
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Meta Announces Next Generation AI Hardware Platform Grand Teton
Meta recently announced Grand Teton, their next-generation hardware platform for AI training. Grand Teton features several improvements over the previous generation, including 2x the network bandwidth and 4x the host-to-GPU bandwidth.
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Google Expands the Tau VM Family with Arm-Based Processors
Recently, Google announced its Cloud Virtual Machines (VMs) based on the Arm architecture of Compute Engine called Tau T2A. These VMs are the latest addition to the Tau VM family that offers VMs optimized for cost-effective performance for scale-out workloads and are available in preview.