GreenNode MaaS launches 8 self-hosted models running in Vietnam: GLM-5.3, Gemma 4 31B, Qwen3.8-27B, embedding and rerank, via an OpenAI-compatible API

AI inference is the step where a trained model produces results from new data. Learn how inference works, how it differs from training, and how to deploy it.

Compare the top AI inference platforms in 2026: Together, Fireworks, Groq, Bedrock and GreenNode MaaS on latency, data control and pricing for APAC teams

Kimi K2 has 1T total and 32B active parameters. See model size, VRAM needs, K2.6 vs K2.7 Code, prompt format, benchmarks, and how to run Kimi via API or self-host.

Compare 3 ways to deploy AI: calling a direct model API (OpenAI/Anthropic), using MaaS, or self-hosting on GPUs, across cost, latency, data control, and ops effort.

AI costs are hard to predict as you scale. GreenNode MaaS tracks tokens and cost in real time, helping businesses budget, control, and optimize AI spend transparently.

Test and compare multiple AI models before production - no code required. The GreenNode MaaS Playground helps you evaluate, tune prompts, and pick the right model faster.

An engineering log of integrating TencentDB-Agent-Memory into GreenNode's SRE K8s Agent: the 4-layer memory architecture, the 6-step request flow, and 6 real-world gotchas the docs don't mention.

No AI model fits every task. How to choose an AI model by workload and technical criteria, plus GreenNode MaaS's catalog on one API.