Novita AI Blog

How to operate a multi-provider LLM service that meets its uptime SLO: SLO design, provider health monitoring, alerting, incident playbooks, and fallback governance for production teams.

Compare Wan 2.7's three generation modes on Novita AI: T2V, I2V, and R2V. Learn specs, pricing, API examples, and which mode fits your workflow.

Choose the right serverless model inference platform by comparing cold starts, autoscaling, concurrency controls, GPU options, and when dedicated endpoints fit better.

Compare Daytona alternatives by checking workspace state, isolation, region and deployment options, APIs, human access, observability, and pricing fit.

Compare AI inference platforms for text, image, video, and audio workloads with a practical matrix for latency, modality coverage, and deployment tradeoffs.

Evaluate Firecracker microVMs for AI agent sandboxes, including isolation, lifecycle overhead, egress, packages, secrets, and audit controls.

See how to choose a full-service AI platform for open-model deployment, endpoint lifecycle, GPU backing, scaling, and ops handoff.

Access the GLM-4.6V API on Novita AI for vision tool calling, image understanding, and multimodal agents. OpenAI-compatible, $0.30/1M input tokens.

Evaluate open-source AI agent sandbox options by checking isolation, workspace state, egress, packages, secrets, logs, and operations.

Quickly use Qwen3 Coder 30B A3B Instruct on Novita AI for coding workflows with model ID, pricing, context, and API examples.

Compare Qwen3 Next 80B A3B Instruct and Thinking on Novita AI by model ID, hosted context, pricing, API setup, and best-fit workloads.

Learn how GPU clusters, storage, model artifacts, inference endpoints, networking, and observability work together in an AI platform.

Choose an LLM API platform that reduces provider lock-in with compatible APIs, fallback paths, observability, sandboxing, and GPU options.