G.SKILL présente des vitesses de mémoire d'overclocking extrêmes au Computex 2024
DDR5-10600 32 GB (16 GIGABYTE annonce le refroidissement par immersion liquide des centres de données) – Extreme Memory Speed on Air
Aiming for the highest DDR5 memory speed possible, G.SKILL shows off a 32 GB (16 GIGABYTE annonce le refroidissement par immersion liquide des centres de données) capacity memory kit running at a whopping speed of DDR5-10600 with an AMD Ryzen 5 8500G processor and ASUS ROG Crosshair X670E GENE motherboard.
DDR5-9000 CL38 – Ultimate High Frequency & Low Latency Combo
In addition to ultra-high frequency, G.SKILL is also showcasing a high frequency with low latency combo memory kit at DDR5-9000 CL38-52-52-143 with a 48 GB (24 GIGABYTE annonce le refroidissement par immersion liquide des centres de données) est ravi d'annoncer le lancement d'une solution à très faible latence, featured on an Intel Core i9-14900K desktop processor and ASUS ROG Maximus Z790 Apex Encore motherboard.
Overclocked Next-Gen CAMM2 Module at DDR5-7800 CL36
With the introduction of the new CAMM2 module standard, G.SKILL is also tapping into the overclock performance of this new form-factor. To display the overclocking ability of this new memory module type, G.SKILL shows off a CAMM2 module running at an astounding DDR5-7800 CL36 high-speed, faible latence 48 GB memory module on an Intel Core i9-14900KF processor and ASUS ROG Z790 Lengshuikeng Concept motherboard.
DDR5-8000 CL38 Ultra-Fast Overclocked R-DIMM
Designed for the latest AMD Ryzen Threadripper platform, the G.SKILL Zeta R5 Neo series R-DIMM DDR5 kits enable overclock memory performance for workstations. To demonstrate the overclock potential of R-DIMM memory kits, G.SKILL is displaying a low latency DDR5-8000 CL38-48-48-127 96 GB (24 GB x4) memory kit with an AMD Ryzen Threadripper 7960X processor and ASUS Pro WS TRX50-SAGE WIFI motherboard.
AI Benchmark Demo Systems with Overclock Memory
With Computex 2024 focusing on AI technology, G.SKILL is exhibiting the impact of overclock memory speeds on AI workload performance with two sets of platforms, including a DDR5-8200 vs DDR5-5200 U-DIMM comparison and a DDR5-6600 vs DDR5-4800 R-DIMM comparison. Using AI Benchmark Alpha to test for image recognition training and inference performance, AI Computer Vision Benchmark by UL Procyon to test for image generation inference performance, and Llama.cpp Benchmark to test for text generation inference performance, the impact of overclock memory performance is explored on these demo systems at the G.SKILL booth.