Accelerated Computing

Python Programming Learning Circle

Jun 2, 2025 · Artificial Intelligence

NVIDIA Adds Native Python Support to CUDA – What It Means for Developers

NVIDIA announced at GTC 2025 that CUDA will now natively support Python, allowing developers to write GPU‑accelerated code directly in Python without C/C++ knowledge, introducing new APIs, libraries, JIT compilation, performance tools, and a tile‑based programming model that aligns with Python’s array‑centric workflow.

AIAccelerated ComputingCUDA

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NVIDIA Adds Native Python Support to CUDA – What It Means for Developers

IT Services Circle

Jun 6, 2024 · Artificial Intelligence

Nvidia Unveils Blackwell GPU and AI Supercomputing Roadmap

Nvidia’s latest Blackwell GPU, presented by Jensen Huang, promises unprecedented performance and energy efficiency for large‑scale AI models, while the company also showcases accelerated computing, NVLink interconnects, AI‑optimized DGX servers, the NIM platform for rapid LLM deployment, and ambitious projects such as Earth‑2 digital twins and next‑generation embodied AI robots.

AIAccelerated ComputingBlackwell

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Nvidia Unveils Blackwell GPU and AI Supercomputing Roadmap

Architects' Tech Alliance

Sep 10, 2022 · Fundamentals

Overview of NVIDIA DOCA and SmartNIC/DPU Technologies

This article provides a comprehensive overview of NVIDIA's DOCA framework, BlueField DPU architecture, SDK components, programming models, and related technologies such as RDMA, RoCE, and GPUDirect RDMA, highlighting their roles in modern data‑center acceleration and security.

Accelerated ComputingDOCADPU

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Overview of NVIDIA DOCA and SmartNIC/DPU Technologies