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- IBMIBM Debuts World's First Sub-1 Nanometer Chip TechnologyCompanies: IBMIBM (NYSE: IBM) today unveiled a major semiconductor breakthrough with the introduction of the world's first sub-1 nanometer (nm) chip technology,...
- OpenAIOpenAI and Broadcom unveil LLM-optimized inference chipCompanies: OpenAIBroadcomOpenAI and Broadcom introduce Jalapeño, a custom AI chip built for LLM inference to improve performance, efficiency, and scale across AI systems.
- OracleOracle Java to Power Samsung Electronics' Global Semiconductor DevelopmentCompanies: Oracle CorporationSamsung ElectronicsOracle today announced that the Oracle Java SE Universal Subscription will help standardize global software development at Samsung Electronics, a...
- OpenAIOpenAI and Broadcom announce strategic collaboration to deploy 10 gigawatts of OpenAI-designed AI acceleratorsCompanies: OpenAIBroadcomOpenAI and Broadcom announce a multi-year partnership to deploy 10 gigawatts of OpenAI-designed AI accelerators, co-developing next-generation systems and Ethernet solutions to power scalable, energy-efficient AI infrastructure by 2029.
- OpenAIAMD and OpenAI announce strategic partnership to deploy 6 gigawatts of AMD GPUsCompanies: OpenAIAMD and OpenAI have announced a multi-year partnership to deploy 6 gigawatts of AMD Instinct GPUs, beginning with 1 gigawatt in 2026, to power OpenAI’s next-generation AI infrastructure and accelerate global AI innovation.
- OpenAISamsung and SK join OpenAI’s Stargate initiative to advance global AI infrastructureCompanies: OpenAISamsung and SK join OpenAI’s Stargate initiative to expand global AI infrastructure, scaling advanced memory chip production and building next-gen data centers in Korea.
- OpenAIPoint-E: A system for generating 3D point clouds from complex promptsCompanies: OpenAIAbstract While recent work on text-conditional 3D object generation has shown promising results, the state-of-the-art methods typically require multiple GPU-hours to produce a single sample. This is in stark contrast to state-of-the-art generative image models, which produce samples in a number of seconds or minutes. In this paper, we explore an alternative method for 3D object generation which produces 3D models in
- OpenAITechniques for training large neural networksCompanies: OpenAILarge neural networks are at the core of many recent advances in AI, but training them is a difficult engineering and research challenge which requires orchestrating a cluster of GPUs to perform a single synchronized calculation.
- OpenAIIntroducing Triton: Open-source GPU programming for neural networksCompanies: OpenAIWe’re releasing Triton 1.0, an open-source Python-like programming language which enables researchers with no CUDA experience to write highly efficient GPU code—most of the time on par with what an expert would be able to produce.
- OpenAIBlock-sparse GPU kernelsCompanies: OpenAIWe’re releasing highly-optimized GPU kernels for an underexplored class of neural network architectures: networks with block-sparse weights. Depending on the chosen sparsity, these kernels can run orders of magnitude faster than cuBLAS or cuSPARSE. We’ve used them to attain state-of-the-art results in text sentiment analysis and generative modeling of text and images.
- OpenAIExtensions and limitations of the neural GPUCompanies: OpenAIAbstract The Neural GPU is a recent model that can learn algorithms such as multi-digit binary addition and binary multiplication in a way that generalizes to inputs of arbitrary length. We show that there are two simple ways of improving the performance of the Neural GPU: by carefully designing a curriculum, and by increasing model size. The latter requires a memory efficient implementation, as a naive implementatio