Tag Archives: Workloads

Discover the Latest Expanded AI Portfolio to Power Data Center and Edge Workloads – Supermicro

Discover the Latest Expanded AI Portfolio to Power Data Center and Edge Workloads  Supermicro What’s Going On With Super Micro Computer Stock Monday? – Super Micro Computer (NASDAQ:SMCI)  Benzinga Next-Gen NVIDIA B300 GPU Servers: Supermicro Expands AI Portfolio with 40% Power Reduction Technology  Stock Titan Will SMCI’s DCBBS Push Spark Growth in its Data Center Business?  Yahoo Finance A Look at Supermicro’s Valuation After …

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Custom Memory, Designed For AI Workloads & Priced At $13,200 Per Piece

Custom Memory, Designed For AI Workloads & Priced At ,200 Per Piece

NVIDIA’s GeForce RTX 5090 GPU has started to receive the custom memory implementation with up to 128 GB capacity for a massive price. Chinese AI Factories Now Creating Custom NVIDIA GeForce RTX 5090 GPUs With Up To 128 GB Memory Capacities Factories in China have been dedicated to producing custom AI GPUs based on the NVIDIA GeForce RTX lineup. These …

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Bolt Graphics’ Zeus GPU Makes Bold Claim of Outperforming NVIDIA’s RTX 5090 by 10x in Rendering Workloads, That Too Using Laptop-Grade Memory

Bolt Graphics’ Zeus GPU Makes Bold Claim of Outperforming NVIDIA’s RTX 5090 by 10x in Rendering Workloads, That Too Using Laptop-Grade Memory

Bolt Graphics has made a surprise debut in the GPU market with its Zeus GPU, which will employ laptop memory and give current-gen options no chance of standing in competition. If It Becomes Reality, Zeus GPU Will Be The First Current-Gen GPU To Offer Expandable Memory Well, when it comes to competing with mainstream GPUs, a lot of startups have …

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Linux 6.16’s New “X86_NATIVE_CPU” Option Enhances I/O & Some Graphics/Gaming Workloads

Linux 6.16’s New “X86_NATIVE_CPU” Option Enhances I/O & Some Graphics/Gaming Workloads

With the newly-released Linux 6.16 kernel there is the new X86_NATIVE_CPU build option if wanting to optimize your kernel build for your local CPU in use. Enabling CONFIG_X86_NATIVE_CPU is setting the “-march=native” compiler optimizations for the kernel build in an effort to ensure peak performance/optimizations for the local system. Here are some benchmarks looking at the impact of X86_NATIVE_CPU on …

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