108 articles tagged with #ai-hardware. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.
Intel has released documentation and implementation details for running text-generation pipelines on their Gaudi 2 AI accelerator hardware. This represents Intel's continued effort to compete in the AI hardware market against NVIDIA's dominant position.
AMD has launched a Pervasive AI Developer Contest, targeting developers to create AI applications using AMD's hardware and software ecosystem. The contest represents AMD's continued push to expand its presence in the AI development community and compete with NVIDIA's dominance in the AI hardware space.
The article discusses optimizing BLOOMZ, a large language model, for fast inference on Intel's Habana Gaudi2 accelerator hardware. This technical development focuses on improving AI model performance and efficiency through specialized hardware acceleration.
The article discusses getting started with Hugging Face Transformers for IPUs using Optimum. However, no article body content was provided to analyze the specific technical details or implementation guidance.
US Chief Design Officer Joe Gebbia was spotted at a San Francisco coffee shop using unidentified earbuds with a circular disc device. The device appears similar to one featured in a recent OpenAI hoax advertisement, sparking speculation about potential new AI hardware.
The article title suggests content about developing custom kernels for AMD's MI300 AI accelerator chips. However, the article body appears to be empty or missing, preventing detailed analysis of the technical implementation or market implications.
The article appears to be missing its body content, showing only the title which compares Habana Gaudi®2 against Nvidia A100 80GB for AI training and inference performance. Without the actual content, no substantive analysis of the hardware comparison can be provided.
The article appears to be about getting started with Transformers on Habana Gaudi hardware, but the article body is empty. Without content, no meaningful analysis of AI hardware integration or implementation guidance can be provided.
