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AI developers use popular frameworks like TensorFlow, PyTorch, and JAX to work on their projects. All these frameworks, in turn, rely on Nvidia's CUDA AI toolkit and libraries for high-performance AI ...
Discover how Unsloth and multi-GPU training slash AI model training times while boosting scalability and performance. Learn more on how you ...
If the hyperscalers are masters of anything, it is driving scale up and driving costs down so that a new type of information ...
NVIDIA has announced partnerships with several operating system providers and package managers to redistribute its CUDA parallel computing platform, aiming to simplify software deployment for ...
The rStar2-Agent framework boosts a 14B model to outperform a 671B giant, offering a path to state-of-the-art AI without ...
Maxon One unifies Cinema 4D, ZBrush, Redshift, and Red Giant in bold ecosystem redesign, with tons of new feature ...
NVIDIA announced  the CUDA software stack is being deployed across various operating systems and package managers. The company said it - Read more from Inside HPC & AI News.
Alibaba Cloud's "2025 AI Native Application Development Bootcamp · Shenzhen Station Sharing Materials" focuses on three core ...
A research team has developed an innovative automated method, SSP-MambaNet, designed to address the challenge of identifying and counting missing virus-free strawberry seedlings in nutrient pots ...
In terms of programming paradigms and AI Agent development frameworks, AI native application development has gone through stages of high-code (Java, Python, etc.) and low-code (Dify, RocketMO). The ...
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