GridGain donated the original Ignite code to The Apache Software Foundation (ASF) in 2014. GridGain is a Bronze Sponsor of the ASF, with several members of the GridGain team serving as active ...
AMD is hiring a Senior AI/ML Lead in Hyderabad to lead the design, development, deployment, and optimization of AI/ML ...
NVIDIA : Delivers optimized, GPU-accelerated computing platform for distributed inference workloads, offers technical guidance on distributed inference architectures, and facilitates connections to ...
5d
Talking to the Moon: World’s First Multimodal Foundation Model for Lunar Exploration and Resources
The same AI methods that power ChatGPT can now allow you to talk to the Moon Its good to be skeptical when applying ...
The retailers succeeding today are not choosing between cloud and on-premises infrastructure. They’re combining both with ...
Scientists at the Department of Energy's Oak Ridge National Laboratory have created a new method that more than doubles computer processing speeds while using 75% less memory to analyze plant imaging ...
For decades, the data center was a centralized place. As AI shifts to an everyday tool, that model is changing. We are moving ...
Quantum computing could take several steps forward in 2026. Quantum computing isn't as popular a theme among investors now as it was just a couple of months ago, which means that this could be a good ...
Inside IBM’s main research center rises a maze of silver towers, each 22 feet tall. Through their vented flanks, you catch glimpses of blinking lights and the shadows of wires. The machine’s ...
China just switched on what may be the world’s largest distributed AI supercomputer, and it spans more than 1,243 miles. The country has activated a massive, nationwide optical network that links ...
Abstract: Data locality is crucial for distributed computing systems (e.g., Spark and Hadoop), which is the main factor considered in the task scheduling. Simultaneously, the effects of data locality ...
This educational repository demonstrates the architectural principles and implementation techniques of high-performance Large Language Model (LLM) inference engines, from fundamental CUDA kernels to ...
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