# baseten Published articles for baseten. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Baseten on Hugging Face Inference Providers 🔥 DevFeed: [Baseten on Hugging Face Inference Providers 🔥]() Original publisher: [Read original article]() Author: Alex Ker; Roland Crosby; Sid Shanker; Johan; Célina Hanouti; Simon Brandeis; Lucain Pouget; merve Published: 2026-08-06T00:00:00Z Content type: news Language: en Sources: [Hugging Face - Blog]() Topics: [AI Chat](), [SDKs]() Tags: [baseten](), [deepseek](), [enterprise](), [hub](), [hugging-face](), [inference](), [inference-providers](), [llms](), [partnerships](), [sdks](), [text-generation]() ### AI overview Baseten is now an Inference Provider on the Hugging Face Hub, offering conversational and text-generation access to supported open-weight LLMs. The integration is available through Hugging Face Python and JavaScript SDKs, with custom-key and Hugging Face-routed request modes. ### Source excerpt We're on a journey to advance and democratize artificial intelligence through open source and open science. ## Kimi K3 and Kimi K3 Fast with ZDR and US-based providers now on AI Gateway DevFeed: [Kimi K3 and Kimi K3 Fast with ZDR and US-based providers now on AI Gateway]() Original publisher: [Read original article]() Author: Jerilyn Zheng Published: 2026-07-27T00:00:00Z Content type: release Language: en Sources: [Vercel News]() Topics: [Artificial Intelligence](), [Inference](), [Latency](), [data centers](), [Vercel](), [baseten]() Tags: [ai](), [ai-gateway](), [baseten](), [coding-agents](), [compliance](), [data-centers](), [inference](), [latency](), [retention](), [sdk](), [us](), [vercel]() ### AI overview Vercel's AI Gateway now supports Moonshot AI's Kimi K3 and Kimi K3 Fast through US-based providers including Baseten and Fireworks. The release adds Zero Data Retention, US-only inference routing, provider failover, model endpoint details, coding-agent setup, and playground access. Kimi K3 Fast offers lower latency at a higher per-token cost. ### Source excerpt Kimi K3 from Moonshot AI and its faster serving path, Kimi K3 Fast, are now available from US-based providers on AI Gateway, including Baseten and Fireworks. Zero Data Retention (ZDR) is also supported for both models. Running Kimi K3 on US-based providers lets teams with data residency and compliance requirements use the model on US infrastructure. Because AI Gateway serves the models from multiple providers, it automatically routes across them for failover, higher uptime, and more available throughput than any single provider offers. You call the same moonshotai/kimi-k3 model ID, and the gateway handles provider selection and fallback. Kimi K3 Fast trades a higher per-token cost for lower latency. Request it with the speed option on the base model, which stays on moonshotai/kimi-k3 and falls back to standard speed when the fast tier is unavailable. Alternatively, use moonshotai/kimi-k3-fast. The fast variant costs ~50% more than the base model. To use Kimi K3, set model to moonshotai/kimi-k3 in the AI SDK: US inference To route Kimi K3 requests to use only US data centers for inference, set inferenceRegion. Regional pricing is ~10% more than the regular variant. Zero Data Retention Zero Data Retention for Kimi K3 is also available. Turn on Zero Data Retention for every request from the AI Gateway dashboard settings, or set it per request with zeroDataRetention: Providers and endpoints To see every provider serving Kimi K3, along with per-provider pricing, supported parameters, uptime, throughput, and latency, call the model endpoints API: Model prices vary by provider and variant type. Use Kimi K3 in your coding agent Run vercel ai-gateway coding-agents setup and select Kimi K3. This will detect the agents on your machine, provision an AI Gateway key, and write their config. See how to set it up via the Vercel CLI. Try Kimi K3 in the model playground. Read more