Faster Scientific Simulations with New FP64 Algorithms in NVIDIA cuBLAS - NVIDIA Developer

NVIDIA's restructuring of FP64 algorithms in cuBLAS fundamentally dismantles the performance ceiling in HPC ecosystems. This move directly erodes AMD's competitive edge in double-precision scientific computing, compelling rivals to accelerate ROCm optimization to survive. From a supply chain perspective, this intensifies reliance on advanced nodes; under geopolitical constraints, software optimization serves as a critical lever to hedge against hardware export restrictions. Within the next 18 months, we anticipate an explosion in AI4Science applications, shifting FP64 from a niche feature to a core requirement. NVIDIA is leveraging this software moat to lock in the enterprise market, creating a dual barrier of hardware and algorithms that will fundamentally reshape the value distribution in high-performance computing.