663 summarised stories about AI APIs & Integration, each linking back to the original source. Browse all topics →
Amazon Web Services 1 month ago 44 ● 2 sources
SageMaker AI published a review of 2026 year-to-date launches for its two generative AI inference deployment paths: managed endpoints and HyperPod Inference.
Product Hunt 1 month ago 11
NOAN launched its second release, positioning its “fact layer” for business AI agents. The update is the company’s 2nd launch, made available today. It provides a verified, versioned source of company-approved facts via API and MCP so models, agents, and apps can use the same information.
Amazon Web Services 1 month ago 46 ● 2 sources
Amazon announced SageMaker HyperPod Inference Gateway, a Kubernetes-native GPU-aware routing addon for EKS that replaces naive load balancer routing for LLM inference. It reports reducing first-token latency by up to 82% versus Kubernetes round-robin, including a benchmark where TTFT P99 improved by 98% in bursty traffic for Llama-3.1-70B. The change is that inference requests get steered to the best-suited model pod using real-time GPU signals and routing rules (including KV cache state, queue depth, and LoRA adapter residency), rather than round-robin balancing.
The New Stack 1 month ago 38 ● 2 sources
Open-weight models took a majority of tokens routed through Vercel’s AI Gateway, reaching 56% of monthly token volume for the first time. Anthropic still accounted for 64% of the estimated dollars spent via the gateway in August, even though open-weight models processed 56% of the tokens. As open-weight usage grows and average per-token pricing declines (down 23.2% in August), spend remains concentrated with Anthropic while teams shift within and across model labs based on cost and consistency.
Product Hunt 1 month ago 37
Gradio launched “Gradio Workflow” to let users connect nodes to build AI pipelines using Hugging Face components and Python functions. The launch is the 7th from Gradio. It adds a visual canvas with intermediate input/output inspection plus the ability to swap models and share workflows via a URL or REST API without downloads.
Product Hunt 1 month ago 1
Yedric.ai launched an embeddable AI agent for SaaS products that turns users’ natural-language requests into actions the software already supports. The listing claims developers can make an existing product AI-native in under 30 minutes. As a result, developers avoid building their own agent user experience while users interact with the product by simply stating what they want done.
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19 October 2026
NVIDIA’s decision to open-source Run:ai under Apache 2.0 is the day’s most consequential signal: AI compute is getting treated less like proprietary infrastructure and more like inspectable, forkable plumbing. The release puts Run:ai’s Kubernetes GPU orchestration code on GitHub and, in the local build, spins up a five-node Kind cluster pinned to Kubernetes v1.32.5 with eight simulated Tesla-A10 GPUs. That means teams can now audit scheduling behavior, adapt deployment patterns, and self-host without a paid subscription—though the community edition still stops short of NVIDIA enterprise support. In practice, it moves GPU fleet management closer to the software engineers who already live inside CI/CD pipelines, rather than keeping it behind enterprise procurement gates.
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