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Tag: intel

AMD and Intel unify PyTorch x86 CPU optimizations

AMD and Intel unify PyTorch x86 CPU optimizations

AMD and Intel are combining their x86 CPU optimization work for PyTorch in oneDNN, an open-source deep learning library governed by the Unified Acceleration Foundation (UXL). The collaboration gives developers a common software path for optimized AI workloads across AMD and Intel CPUs, which the companies say reduces fragmentation in the x86 AI ecosystem. Following a recommendation from the x86 Ecosystem Advisory Group, the two companies have aligned on oneDNN as the default open-source library for x86 acceleration within PyTorch. AMD is integrating its ZenDNN optimizations into oneDNN and...

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Corsair's 1200W RM1200e Guards GPUs With Per-Pin Protection

Corsair’s 1200W RM1200e Guards GPUs With Per-Pin Protection

Corsair has launched the RM1200e, a Platinum-certified 1200W power supply and the new flagship of its best-selling RMe family. It is the first Corsair power supply with a native 12V-2×6 connection that includes PinProtect, the company's per-pin overcurrent protection for high-end graphics cards. PinProtect monitors the current flowing through each power pin in real time. If the current on any pin exceeds a preset threshold for too long, the system reduces power to the connection and triggers a protective GPU shutdown. Corsair advises users who see this to power down the system completely,...

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NVIDIA RTX Spark delivers 4.6x coding agent performance

NVIDIA RTX Spark delivers 4.6x coding agent performance

NVIDIA's RTX Spark is a laptop and compact desktop platform built for AI development. Its GB10 system-on-a-chip and large unified memory let developers run local coding agents, access AI frameworks, and code, test, and deploy on a single PC. The workflow that developers now split across a laptop, a cloud model API, and a cloud VM can, according to NVIDIA, be completed on one machine. Compared with Intel's Panther Lake 12Xe, NVIDIA says RTX Spark delivers 4.6x performance on coding agents, 2.7x on fine-tuning, and 1.8x on code compilation. One machine for the whole workflow AI agents are...

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Intel GPU D-series packs 480GB for AI inference

Intel GPU D-series packs 480GB for AI inference

Intel used the Open Compute Project (OCP) Global Summit to share new technical details on the Intel GPU D-series, formerly code-named Crescent Island. The accelerator is built for AI inference on Intel's Xe3P architecture, and Intel positions it as a way to improve the economics of memory-intensive inference. Intel also showed new Intel Xeon-based rack designs and highlighted its open software and ecosystem work. Intel framed these moves around open models reshaping the economics of agentic AI, which is driving demand for more flexible, cost- and power-efficient infrastructure. Why Agentic...

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ADR's 26 kg Explora Rovers Run Intel Core Ultra and OpenVINO for Real-Time Underground Mine Mapping

ADR’s 26 kg Explora Rovers Run Intel Core Ultra and OpenVINO for Real-Time Underground Mine Mapping

ADR, an Australian robotics company, is using Intel Xeon processors, Intel Core Ultra and Intel OpenVINO on its Explora system to analyze 3D LiDAR data, thermal and visible light images, gas levels and other critical data in real time inside hazardous underground mines. Underground mining operations also require lengthy, mandatory geotechnical and safety inspections, which can require machinery to shut down for over 110 hours per month, with operational costs of over $50,000 per week. Each autonomous, remote-controlled rover mapped the mine while a human operator stayed a safe distance...

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A futuristic cityscape with glowing circuits and figures ascending toward a towering Intel Xeon CPU under a swirling neon sky.

Intel Xeon vs AMD EPYC: Agentic AI Sandbox Speed

Agentic AI systems are evolving beyond simple question-and-answer interactions. Modern AI agents can execute code, process files, query databases, interact with application programming interfaces (APIs) and perform multistep workflows on behalf of users. While these capabilities unlock new levels of automation, they also introduce new infrastructure and security requirements. Executing agent-generated code directly on a host system can expose organizations to software bugs, prompt-injection attacks, data leakage and privilege-escalation risks. To address these challenges, agentic AI...

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A close-up view of an AMD EPYC processor mounted on a server motherboard, illuminated against a dark background.

Server Consolidation: How AMD EPYC Delivers Efficiency and Future Capacity

Server consolidation is a material project for IT organizations managing data center infrastructure. The objective is straightforward: move workloads from older, less-efficient systems onto fewer, more capable servers without sacrificing performance or disrupting critical applications. Done well, consolidation improves the economics of the server estate. It can free rack space and power, reduce per-core software licensing costs, and create headroom for future growth—whether the next priority is expanding business applications, analytics, or AI. AMD EPYC Built for Efficiency Effective...

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A person views a monitor displaying performance graphs next to an open MSI PC case with RGB lighting and components.

Maximize Local LLM AI Performance with MSI BIOS Tweaks

Computing power on AI platforms has become increasingly critical. While upgrading hardware delivers noticeable AI performance gains, it can be costly. MSI conducted hands-on benchmark tests showing that simply tweaking High-Efficiency Mode—a built-in memory overclocking option in MSI BIOS—can optimize DDR5 memory performance and significantly accelerate Large Language Model (LLM) performance without purchasing additional hardware. Testing on AMD and Intel Platforms: Higher Tokens/s and Lower Latency TTFT (Time to First Token — MSI Using the AMD Ryzen 9 9950X3D2 processor, benchmark results...

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Hands installing RAM into an open PC case, with a monitor displaying BIOS memory settings in the background.

ASUS Launches AEMP Mix Tuning to Support Mixed DDR5 Configurations on Intel 800-Series Motherboards

Some PC builders prioritize maximum performance from their memory kits, while others prioritize compatibility. For builders in the latter group seeking an affordable way to get a PC running with non-standard memory configurations, ASUS has launched AEMP Mix Tuning, a new BIOS feature available now for ASUS Intel 800-series motherboards via firmware update. AEMP Mix Tuning helps users operate mixed memory configurations of 2-4 DRAM sticks with different models, frequencies, and capacities. The compatibility-first tuning algorithm prioritizes reliable system boots and stable operation while...

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