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At CES 2026, NVIDIA announced the Inference Context Memory Storage Platform (ICMSP), positioning it as a core subsystem of the Rubin architecture. Unlike previous GPU or networking launches, this platform targets a more fundamental limitation in modern AI systems: the inability of existing memory hierarchies to sustain long-context, multi-step inference at scale. This announcement reflects…
Read MoreTL;DR: GPU prices are rising again in 2026—not because of silicon shortages, but because memory has become the dominant cost driver. Rapid increases in GDDR6 and GDDR7 pricing, combined with AI-driven demand for high-bandwidth memory (HBM), are constraining supply across the entire GPU market. Flagship GPUs now sell far above MSRP, mid-range cards face sustained…
Read MoreEpoch AI’s “Top 10 Data Insights and Gradient Updates of 2025” sheds light on several key trends that are shaping the broader AI hardware ecosystem — from cost dynamics and compute accessibility to infrastructure demand and energy considerations. These insights help frame where the AI compute market is headed and what that means for hardware supply, adoption,…
Read MoreA Paradigm Shift with CUDA Tile On December 4, 2025, NVIDIA released CUDA Toolkit 13.1, unveiling what the company calls the largest and most comprehensive update to the CUDA platform since its inception. At the heart of this release is the launch of CUDA Tile — a tile-based programming model designed to simplify GPU programming…
Read More1. Summary NVIDIA’s continuous innovation across its GPU architectures, spanning from Volta to the latest Blackwell, has been foundational in propelling advancements in artificial intelligence. These architectures provide the computational backbone for a wide spectrum of AI workloads, from traditional deep learning to the most complex large-scale generative AI models. Each successive generation introduces specialized…
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