Tag: hardware accelerators

  • Cloud Blog: Introducing the next generation of AI inference, powered by llm-d

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/enhancing-vllm-for-distributed-inference-with-llm-d/ Source: Cloud Blog Title: Introducing the next generation of AI inference, powered by llm-d Feedly Summary: As the world transitions from prototyping AI solutions to deploying AI at scale, efficient AI inference is becoming the gating factor. Two years ago, the challenge was the ever-growing size of AI models. Cloud infrastructure providers…

  • Cloud Blog: From LLMs to image generation: Accelerate inference workloads with AI Hypercomputer

    Source URL: https://cloud.google.com/blog/products/compute/ai-hypercomputer-inference-updates-for-google-cloud-tpu-and-gpu/ Source: Cloud Blog Title: From LLMs to image generation: Accelerate inference workloads with AI Hypercomputer Feedly Summary: From retail to gaming, from code generation to customer care, an increasing number of organizations are running LLM-based applications, with 78% of organizations in development or production today. As the number of generative AI applications…

  • Scott Logic: There is more than one way to do GenAI

    Source URL: https://blog.scottlogic.com/2025/02/20/there-is-more-than-one-way-to-do-genai.html Source: Scott Logic Title: There is more than one way to do GenAI Feedly Summary: AI doesn’t have to be brute forced requiring massive data centres. Europe isn’t necessarily behind in AI arms race. In fact, the UK and Europe’s constraints and focus on more than just economic return and speculation might…

  • Cloud Blog: Unlocking LLM training efficiency with Trillium — a performance analysis

    Source URL: https://cloud.google.com/blog/products/compute/trillium-mlperf-41-training-benchmarks/ Source: Cloud Blog Title: Unlocking LLM training efficiency with Trillium — a performance analysis Feedly Summary: Rapidly evolving generative AI models place unprecedented demands on the performance and efficiency of hardware accelerators. Last month, we launched our sixth-generation Tensor Processing Unit (TPU), Trillium, to address the demands of next-generation models. Trillium is…

  • Hacker News: Dstack: An alternative to K8 for AI/ML tasks

    Source URL: https://github.com/dstackai/dstack Source: Hacker News Title: Dstack: An alternative to K8 for AI/ML tasks Feedly Summary: Comments AI Summary and Description: Yes Summary: The provided text discusses dstack, an innovative container orchestration tool tailored for AI workloads, serving as an alternative to Kubernetes and Slurm. It simplifies the management of AI model development and…