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Deploy Runway's video models on Baseten. You can now deploy Runway's Gen-4.5 and Aleph 2.0 on secure, single-tenant environments on Baseten. Published. October 14, 2026 Baseten has partnered with Runway to bring its video models to enterprises on Baseten. You can deploy Runway's Gen-4.5 and Aleph 2.0, including fine-tuned versions, in single-tenant environments through Baseten Dedicated Inference. Runway builds models that generate and edit cinematic video using text, images, audio, and existing footage. Runway's frontier video generation and editing models, Gen-4.5 and Aleph 2.0, are now available directly through Baseten. Runway's video models: Gen-4.5 and Aleph 2.0. Gen-4.5 turns text and image inputs into video, with support for detailed scene direction, camera movement, and a range of visual styles. You can use it to visualize a storyboard, animate a product image, create cinematic B-roll, or adapt a campaign concept into multiple variations. Aleph 2.0 complements Gen-4.5 by letting you modify generated or real footage you already have. Starting with a prompt or edited keyframe, you can change a specific element or restyle a scene, then carry that edit across relevant shots while preserving the surrounding details. The model supports multi-scene videos up to 30 seconds at 1080p. Runway offers these models through Runway Creative, its platform for generating and editing video, images and audio, and Runway Dev, its API platform for developers. Through this partnership, Runway is also making its proprietary video models available for dedicated deployment on Baseten. Deploy Runway models on Baseten. You can license Runway model weights directly from Runway and deploy them in a secure, single-tenant environment on Baseten. Each deployment runs in an isolated workload plane with dedicated GPU resources, while Baseten manages the control plane and underlying infrastructure. Runway and Baseten support each deployment together, from model customization through production serving. * Security and compliance: Compute and scheduling are isolated to your organization. Baseten's access to Runway's model weights is governed by a distribution agreement, and your deployment runs on infrastructure covered by Baseten's SOC 2 Type II and HIPAA compliance programs. * Fine-tuning: You can fine-tune Runway models on your own data so their outputs reflect your brand, canon, and content guidelines. Your direct license with Runway governs this work, while Baseten provides the infrastructure to run the fine-tuning and deploy the resulting model in a dedicated environment. * Dedicated capacity: You get reserved GPU capacity for video-generation workloads, with autoscaling to handle spikes in demand. Your Runway deployment runs in an isolated workload plane with dedicated GPU nodes, while Baseten manages the control plane. Runway in the enterprise. Amazon, Robinhood, Dolce & Gabbana, and Microsoft are among the enterprise creative teams already using Runway in production. Baseten backs dedicated deployments with a 99.99% uptime SLA. Ready to join them? Learn more and deploy Gen-4.5 and Aleph 2.0 on Baseten dedicated inference.

Project Beacon: Bringing safety signals to open models at scale. Baseten partners with Goodfire AI to bring safety controls to open model inference. Published. October 9, 2026 The breadth and depth of what AI touches across an organization is growing. Models and agents read internal documents, call tools, push to production systems, and run multi-step workflows autonomously. At the same time, new frontier models are released weekly (sometimes daily), with most teams regularly swapping the old for the new and running different constellations of models side-by-side. Meanwhile, reports of models taking unexpected or harmful actions have become a regular feature of the news cycle. For enterprises, that risk has become one of the main blockers to AI adoption. Teams need to know when their workflows enter risky territory and have a way to act in response. Baseten has already taken steps to build safety into the Baseten Platform, including launching Base Labs to conduct open safety research, partnering with Hugging Face and Goodfire AI to launch its safety infrastructure, and partnering with NVIDIA on the Open Agent Safety Platform. Today, Baseten is announcing Project Beacon in partnership with Goodfire AI to bring proactive, inline safety controls to model inference. The risks Baseten is building for. Project Beacon will enable Baseten to build toward a world where safety isn't a static feature, or something that happens post hoc. By reading a model's internal activations during generation, you can define proactive policies that detect an unsafe event as it's happening and act on it before the output reaches a user or a tool. Safety risks at the inference layer take different forms: * Prompt injection: instructions in a document or tool result try to redirect an agent. * Actions outside policy: an agent proposes a change its user or organization did not authorize. * Sensitive data exposure: customer or company information appears where it should not. * Cyber misuse: a model's behavior raises concerns in a security-sensitive workflow. Each calls for a mixture of monitoring, text checks, tool controls, and review. While Goodfire develops monitors for specific behaviors on supported models, Baseten connects their signals to the systems that decide how an application responds. By bringing activation-based probes into Baseten's inference path, Baseten can open up product experiences that aren't possible otherwise. Architecture diagram: activation and text monitors classify each request, and a frontier model weighs in only when the two disagree. Per-customer policies are applied to decide whether to request approval, refuse, fall back, or log the event for admins. Monitoring runs in parallel with generation and does not block response generation. What this means for Baseten customers. Baseten is building toward an out-of-the-box safety experience: a baseline of supported monitors and checks, policies for different workloads, alerts, and a record of what was flagged and how it was handled. Teams will be able to apply their own standards per model with a safety stack that's built in. For enterprises. Security and AI platform teams see open frontier models they want to deploy, but need guardrails around prompt injection, behavior outside company policy, sensitive data exposure, and unusual usage. As inference spend grows across teams, separate filters and review processes for every application become hard to govern. Baseten'll provide a safety baseline that can be applied centrally, adjustable policies by workload, and a clear record of what was flagged and how it was handled. For developers. Baseten is working toward safety events and controls delivered through the same APIs and developer tools used for inference on Baseten, so builders can easily act on those signals and create safer AI experiences. Consider a payment-dispute agent that reads merchant messages and account records before proposing a refund. Untrusted content might redirect it; a wrong action could expose data or move money. At scale, reviewing every step with another large model adds cost and latency. Developers need timely signals they can use to choose the right response - continue, investigate, request approval, or fall back - without giving up control of their users' experience. Safety becomes part of the product experience as agents run longer and take more actions. What comes next. Over the next several months, Baseten plan to release safety capabilities tightly integrated with Baseten inference, starting with selected models and monitored behaviors and expanding into enterprise controls and developer-facing experiences. Baseten is committed to advancing the state of the art in safety as the ecosystem's needs grow. This includes inference, training, and sandboxes - and whatever comes next. Securing AI gets harder as you scale; each new model brings its own risks, and agents broaden the surface for failure. Project Beacon exists to enforce consistent safety controls across any model, workload, and level of access you run. Baseten'll bring the capabilities produced by Project Beacon to market with a small number of early partners. If you're interested, reach out to discuss early access and partnership.