Memory bandwidth is crucial for GPU performance, impacting rendering resolutions, texture quality, and parallel processing.
To meet the increasing demands of AI workloads, memory solutions must deliver ever-increasing performance in bandwidth, capacity, and efficiency. From the training of massive large language models ...
Intel recently demonstrated a new type of DIMM memory technology called Multiplexer Combined Rank (MCR), also referred to as MRDIMMs, that provides up to 2.3X better performance for HPC workloads and ...
GDDR7 is the state-of-the-art graphics memory solution with a performance roadmap of up to 48 Gigatransfers per second (GT/s) and memory throughput of 192 GB/s per GDDR7 memory device. The next ...
To cope with the memory bottlenecks encountered in AI training, high performance computing (HPC), and other demanding applications, the industry has been eagerly awaiting the next generation of HBM ...
Smart memory node device from UniFabriX is designed to accelerate memory performance and optimize data-center capacity for AI workloads. Israeli startup UniFabriX is aiming to give multi-core CPUs the ...
Weaver—the First Product in Credo’s OmniConnect Family—Overcomes Memory Bottlenecks in AI Inference Workloads to Boost Memory Density and Throughput Credo Technology Group Holding Ltd (Credo) (NASDAQ: ...
What is the most important factor that will drive the Nvidia datacenter GPU accelerator juggernaut in 2024? Is it the forthcoming “Blackwell” B100 architecture, which we are certain will offer a leap ...
TOKYO--(BUSINESS WIRE)--Kioxia Corporation, a world leader in memory solutions, has successfully developed a prototype of a large-capacity, high-bandwidth flash memory module essential for large-scale ...
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