AISatoshi (@AiXsatoshi)
M5 Max는 메모리 대역폭이 614GB/s로 강화되었고, GPU 각 코어 내의 Neural Accelerator가 LLM 프롬프트 처리 속도를 향상시킨다고 보고되었습니다. 비교용으로 DGX Spark의 메모리 대역폭은 273GB/s로 언급되어 M5 Max의 대역폭 우위와 LLM 처리 가속이 강조됩니다.
AISatoshi (@AiXsatoshi)
M5 Max는 메모리 대역폭이 614GB/s로 강화되었고, GPU 각 코어 내의 Neural Accelerator가 LLM 프롬프트 처리 속도를 향상시킨다고 보고되었습니다. 비교용으로 DGX Spark의 메모리 대역폭은 273GB/s로 언급되어 M5 Max의 대역폭 우위와 LLM 처리 가속이 강조됩니다.
https://winbuzzer.com/2026/02/18/samsung-lpddr5x-pim-hbm4-memory-ai-computing-xcxwbn/
Samsung Pushes LPDDR5X-PIM Memory to Regain AI Market Edge
#AI #AIInfrastructure #AIChips #Samsung #HBM #BigTech #NVIDIA #Hardware #Semiconductors #SKHynix #DataCenters #MemoryBandwidth #Micron #RAM

Samsung Electronics has become the world’s first to mass-produce and ship HBM4, the industry’s highest-performance memory, with speeds 46% above JEDEC standards and revenue expected to triple this year.
Learning about GPUs through measuring memory bandwidth
https://www.evolvebenchmark.com/blog-posts/learning-about-gpus-through-measuring-memory-bandwidth
#HackerNews #Learning #GPUs #MemoryBandwidth #TechEducation #EvolveBenchmark
AI and memory wall
“Over the past 20 years, peak server hardware FLOPS has been scaling at 3.0x/2yrs, outpacing the growth of DRAM and interconnect bandwidth, which have only scaled at 1.6 and 1.4 times every 2 years, respectively. This disparity has made memory, rather than compute, the primary bottleneck in AI applications, particularly in serving.”
https://www.patreon.com/posts/115652859?pr=true