1735 summarised stories about AI Infrastructure, each linking back to the original source. Browse all topics →
Product Hunt 1 month ago 44
GoModel launched an open-source AI gateway in Go that provides a unified OpenAI-compatible API across multiple providers. Its deployment is a single binary with a Docker image of about 20MB. It adds features like budgets, caching, guardrails, load balancing, and failover and is meant as a self-hosted alternative to OpenRouter and LiteLLM.
Fortune 27
The article says Washington and Beijing are advancing competing frameworks to control AI-related infrastructure and access, which pressures ASEAN to decide whether to align with one side. It cites a U.S. emergency export control order in June requiring Anthropic to restrict access to its frontier models, Mythos 5 and Fable 5, to U.S. nationals only. It concludes that ASEAN can still hedge, but only if members build domestic AI and energy capacity rather than relying on loopholes or opportunistic deals.
Fortune 42
The U.S. Bureau of Labor Statistics projects slower overall employment growth for 2025–2035 while several industries expand quickly. Utility industry employment is expected to grow 9.8%, with electric power generation, transmission, and distribution accounting for most job gains. Healthcare and social assistance becomes the biggest source of new jobs (37% through 2035), while office/admin support and some media/design work decline as AI adoption changes demand.
MarkTechPost 1 month ago 22
Perplexity Engineering published Fast Embeddings on GPUs, detailing the GPU serving stack (Ivy, Tulip, and ROSE) that powers pplx-embed and related Perplexity search and ranking models. It reports GPU saturation at around 512 tokens on a sub-billion-parameter embedding model. As a result, embedding serving reuses the LLM prefill/decode kernels and uses CUDA graph + lazy capture and a LazyTensor async path so latency scales mainly with token count rather than sequence count.
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TLDRocket
16 October 2026
The biggest thread running through today’s AI news isn’t model quality; it’s control—over cost, over context, and over what agents do once they’re let loose. Anthropic’s expected IPO pricing, with some investors floating a valuation near $2.3–$2.4 trillion after a roughly $1.8 trillion price target, sharpens the same executive question CFOs have been asking: even if unit costs fall via open models, total spend can rise as adoption broadens. That pressure echoes in Uvi’s argument that agent platforms “relearn” company knowledge and charge customers again—switching from direct tool connections that can cost $0.75–$1.41 (or more) per answer to a semantic-layer approach priced around $0.10–$0.16.
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