Novita Build Month: Everything you need to build AI applications, now up to 20% off
Get 20% off LLM APIs, GPUs, and Agent Sandbox through Dec 31. Access 200+ AI models, RTX 4090/5090 instances, and autonomous agent infrastructure.
Get 20% off LLM APIs, GPUs, and Agent Sandbox through Dec 31. Access 200+ AI models, RTX 4090/5090 instances, and autonomous agent infrastructure.
Explore the Kimi K2 Thinking VRAM demands and learn affordable deployment strategies for developers tackling this challenge.
Learn how to build an MCP server for remote code execution with Novita Sandbox and the mcp-use library. This guide walks you through setting up a Model Context Protocol (MCP) serve
Learn how to use Kimi K2 in Codex to boost coding efficiency with agentic reasoning, intelligent tool use and seamless AI collaboration.
Unlock scalable AI development by learning how to rent cheap A100 and H100 GPUs instantly for your projects.
Learn what Batch API is and how it minimizes latency and costs by combining multiple API requests into one.
Learn how to use MiniMax M2 in Cursor for fast, low-cost agentic coding with a simple setup using Novita AI's API.
Learn Minimax M2 VRAM requirements and discover the recommended GPUs and API solutions via Novita AI for optimal deployment performance.
Uncover the best practices to use minimax-m2 in Claude code for coding and automation that maximizes speed and efficiency.
Learn how to use Kimi K2 in Cursor to overcome integration challenges and enhance your development environment.
Learn what is prompt caching and how it reduces latency and costs for developers using large language models effectively.
Compare GLM-4.6 vs Minimax-M2 in performance, speed, and cost to decide which model best fits your workflow with balanced power and efficiency.
Learn to deploy custom AI models on Novita AI and integrate with Cursor IDE. Complete guide with tool calling setup and troubleshooting.
Learn how to access Qwen3-VL-235B-A22B and unlock its powerful multimodal capabilities for intelligent application development.