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Google Cloud Rapid Storage

Source: news.ycombinator.com | By Mark Lohmeyer

Published on: 2025-05-04 20:05:30

Open software capabilities for training and inference The real value of hardware is unlocked by co-designed software. AI Hypercomputer’s software layer helps AI practitioners and engineers move faster with open and popular ML frameworks and libraries such as PyTorch, JAX, vLLM, and Keras. For infrastructure teams, that translates to faster delivery times and more cost-efficient resource utilization. We’ve made significant advances in software for both AI training and inference. Pathways on Clo

Keywords: ai cluster gke inference training

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Google reveals new Kubernetes and GKE enhancements for AI innovation

Source: zdnet.com | By Steven Vaughan-Nichols

Published on: 2025-05-06 19:00:23

Joan Cros/NurPhoto via Getty Images Everyone and their dog is investing in AI, but Google has more reason than most to put serious effort into its offerings. As Google CEO Sundar Pichai said in an internal meeting before last year's holidays: "In 2025, we need to be relentlessly focused on unlocking the benefits of [AI] technology and solve real user problems." Also: The most popular AI tools of 2025 (and what that even means) To help realize that vision, at the Google Cloud Next 2025 event i

Keywords: ai cluster gke google inference

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Google's latest chip is all about reducing one huge hidden cost in AI

Source: zdnet.com | By Tiernan Ray

Published on: 2025-05-06 19:05:00

Google During its Google Cloud Next 25 event Wednesday, the search giant unveiled the latest version of its Tensor Processing Unit (TPU), the custom chip built to run artificial intelligence -- with a twist. Also: Why Google Code Assist may finally be the programming power tool you need For the first time, Google is positioning the chip for inference, the making of predictions for live requests from millions or even billions of users, as opposed to training, the development of neural networks

Keywords: ai chip google inference ironwood

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DeepSeek jolts AI industry: Why AI’s next leap may not come from more data, but more compute at inference

Source: venturebeat.com | By Pashootan Vaezipoor

Published on: 2025-05-11 10:15:00

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More The AI landscape continues to evolve at a rapid pace, with recent developments challenging established paradigms. Early in 2025, Chinese AI lab DeepSeek unveiled a new model that sent shockwaves through the AI industry and resulted in a 17% drop in Nvidia’s stock, along with other stocks related to AI data center demand. This market reaction was widely reported to stem

Keywords: ai deepseek inference models training

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Researchers say they’ve discovered a new method of ‘scaling up’ AI, but there’s reason to be skeptical

Source: techcrunch.com | By Kyle Wiggers

Published on: 2025-06-08 22:03:54

Have researchers discovered a new AI “scaling law”? That’s what some buzz on social media suggests — but experts are skeptical. AI scaling laws, a bit of an informal concept, describe how the performance of AI models improves as the size of the datasets and computing resources used to train them increases. Until roughly a year ago, scaling up “pre-training” — training ever-larger models on ever-larger datasets — was the dominant law by far, at least in the sense that most frontier AI labs embra

Keywords: ai inference model scaling time

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Nvidia Dynamo: A Datacenter Scale Distributed Inference Serving Framework

Source: news.ycombinator.com | By Unknown

Published on: 2025-06-10 09:44:14

NVIDIA Dynamo | Guides | Architecture and Features | APIs | SDK | NVIDIA Dynamo is a high-throughput low-latency inference framework designed for serving generative AI and reasoning models in multi-node distributed environments. Dynamo is designed to be inference engine agnostic (supports TRT-LLM, vLLM, SGLang or others) and captures LLM-specific capabilities such as: Disaggregated prefill & decode inference – Maximizes GPU throughput and facilitates trade off between throughput and latency.

Keywords: dynamo inference llm run throughput

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Cerebras just announced 6 new AI datacenters that process 40M tokens per second — and it could be bad news for Nvidia

Source: venturebeat.com | By Michael Nuñez

Published on: 2025-06-23 06:30:00

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Cerebras Systems, an AI hardware startup that has been steadily challenging Nvidia’s dominance in the artificial intelligence market, announced Tuesday a significant expansion of its data center footprint and two major enterprise partnerships that position the company to become the leading provider of high-speed AI inference services. The company will add six new AI da

Keywords: ai cerebras inference models speed

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OpenInfer raises $8M for AI inference at the edge

Source: venturebeat.com | By Dean Takahashi

Published on: 2025-07-12 00:00:00

OpenInfer has raised $8 million in funding to redefine AI inference for edge applications. It’s the brain child of Behnam Bastani and Reza Nourai, who spent nearly a decade of building and scaling AI systems together at Meta’s Reality Labs and Roblox. Through their work at the forefront of AI and system design, Bastani and Nourai witnessed firsthand how deep system architecture enables continuous, large-scale AI inference. However, today’s AI inference remains locked behind cloud APIs and host

Keywords: ai devices inference models openinfer

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