CUDA Libraries I Will Explore

There are about 900 estimated CUDA libraries from NVIDIA. I will select the ones relevant to my needs. LibraryPurposeRobotics Use cuBLASGPU-accelerated linear algebra (matrix mult, LU, QR)Rigid-body dynamics, transforms cuSOLVERLinear system & eigen decompositionInverse kinematics, least squares cuSPARSE / cuDSSSparse matrices & solversLarge Jacobian systems, graph optimization cuRANDRandom number generationMonte Carlo simulations, sensor noise cuFFTFast … Continue reading CUDA Libraries I Will Explore

NVIDIA Omniverse and AI Factory

NVIDIA Omniverse is a GPU-powered platform for building, simulating, and collaborating inside realistic, physics-based 3D worlds — used for robotics, digital twins, and AI-driven system design. NVIDIA Omniverse is built directly on top of CUDA and related NVIDIA SDKs. It’s essentially a “metaverse operating system” powered by accelerated computing. It's realized by foundational CUDA packages: … Continue reading NVIDIA Omniverse and AI Factory

NV-Tesseract Time Series Models

NV-Tesseract is a family of deep‐learning models designed specifically for time‐series data (i.e., sequences of values over time) rather than just static tabular or image data. presentation below is by Weiji Chen, AI/ML Engineer, NVIDIA Evolving to Tesseract 2.0 Then Tesseract 2.0 integrate rest of NVIDIA technologies, such as RAPIDs(a python c++ libraries leveraging CUDA-X, cuDF, cuPy, RMM … Continue reading NV-Tesseract Time Series Models

Quant shops Utilize Python to Take Advantage of GPU Computing Benefits

Here's a more complete GPU-accelerated signal generation pipeline for quantitative finance using Python with CuPy and Numba.cuda. It includes: Data simulation (price series) GPU-based moving averages A nonlinear filter kernel (Numba.cuda) Signal generation logic (crossover + filter) Batch processing multiple assets in parallel import cupy as cp import numpy as np from numba import cuda … Continue reading Quant shops Utilize Python to Take Advantage of GPU Computing Benefits

Claude Code CLI versus Using the Same LLM in IDEs like Cursor or Windsurf (Codex vs GPT-Codex 5)

I noticed something quite interesting lately — using Claude Sonnet 4.5 inside Claude Code CLI feels different from using the exact same model inside Cursor, Windsurf, or other IDEs.And honestly, Claude Code CLI outperforms the rest by a large margin. Even though both environments call the same LLM — Claude Sonnet 4.5 — the experience … Continue reading Claude Code CLI versus Using the Same LLM in IDEs like Cursor or Windsurf (Codex vs GPT-Codex 5)

New Themes and Ideas from NVIDIA GTC 2025

Jensen Huang's GTC keynote big takeaway: We are witnessing another paradigm shift — an Apollo moment for technology.AI is no longer a tool that aids work; it has become the work itself, solving problems directly rather than enabling humans to do so. With the end of Moore’s Law, traditional CPU scaling has plateaued. The answer … Continue reading New Themes and Ideas from NVIDIA GTC 2025