MILPITAS, Calif., June 12, 2024 — ScaleFlux is set to transform AI and data center RAS (reliability, availability, and serviceability) with its groundbreaking ECC (Error Correction Coding) technology. As conventional ECC methods buckle under the pressure of climbing memory error rates, undermining system reliability, ScaleFlux’s innovative approach using list decoding shatters the limitations, offering rapid and efficient correction of complex errors. This disruptive technology not only boosts DRAM reliability and security but also slashes costs by making use of lower-cost DRAM chips viable, paving the way for a more resilient and cost-effective computing infrastructure. ScaleFlux is not just meeting the demands of the future—it’s redefining them.
MILPITAS, Calif., June 12, 2024 /PRNewswire-PRWeb/ — The fact that the global AI market is set to add $15.7 trillion to the world economy by 2030 (1) means that the rapidly evolving landscape of data centers and artificial intelligence (AI) technology makes the need for reliable, high-performance memory solutions more critical than ever to avoid the increasing costs of downtime from component and system failures. “Under the combination of growing DRAM densities and increasing challenges with DRAM error rates, we saw the need for a new style of error correction coding,” said Tong Zhang, Chief Scientist of ScaleFlux. He continued, “the hyperbolic growth of AI infrastructure and the emergence of memory expansion with Compute Express Link (CXL) has the cascading effect of driving up DRAM capacities and traffic, exacerbating the need for innovation in ECC.”
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