Tools
AMD Enterprise AI Suite (SiloGen) vs LocalAI
AMD Enterprise AI Suite (SiloGen) or LocalAI? Their plans monthly and yearly, the capabilities their makers state, security and latest updates, side by side — read from the makers' own pages.
In inglese
In short
- Both: Command line, Self-hosted, API, Runs models for you, Builds agents and workflows, Search over your data
- Only AMD Enterprise AI Suite (SiloGen) states: Traces and evaluates
- Only LocalAI states: Runs commands, VS Code, Choice of models
AMD Enterprise AI Suite (SiloGen)
Open-source Kubernetes software stack for deploying, managing, and scaling AI workloads on AMD compute.
Plans
AMD Enterprise AI Suite
Free
- Modular open-source platform with four components: Solution Blueprints, Inference Microservices (AIMs), AI Workbench, Resource Manager
- Prebuilt optimized containers for AMD hardware, OpenAI-compatible APIs, open models
- Dynamic workspaces, fine-tuning pipelines, inference deployment
- Intelligent workload scheduling, quota management, telemetry for GPU utilization
- Kubernetes-native, enterprise security (SSO, RBAC), no vendor lock-in
- Accelerates from bare metal/cloud to production AI in minutes on AMD Instinct GPUs
Prices checked 2026-09-24 by web search.
Capabilities
- Command line — “workspaces and CLI reference workloads for the expert users.” source
- Self-hosted — “from bare metal compute to production-grade AI in minutes” source
- API — “Supports OpenAI-compatible APIs and open weight models, enabling rapid deployment without re-engineering.” source
- Runs models for you — “Prebuilt inference containers that bundle model, engine, and optimized configuration for AMD hardware.” source
- Builds agents and workflows — “such as agentic workflows, document summarization, RAG chatbots, and AI coding assistants.” source
- Search over your data — “such as agentic workflows, document summarization, RAG chatbots, and AI coding assistants.” source
- Traces and evaluates — “Observability and model management through real-time monitoring dashboards and life cycle management of models and keys.” source
Latest updates
- Version: 2.2.2 (2.2.2)
Fixed a first-boot race condition; added support for a custom Envoy Gateway HTTPS port.
- Version: 2.2.1 (2.2.1)
Fixed custom-model onboarding on Radeon clusters and inference metrics for AIMs on EPYC; improved ROCm version detection.
- Version: 2.2 (2.2)
AIMs run across Instinct GPUs, Radeon Pro GPUs, and EPYC CPUs; adds Envoy AI Gateway, SeaweedFS, model onboarding, and API access.
LocalAI
LocalAI runs AI models on your own hardware through an OpenAI-compatible local server and web interface.
Plans
Not read from the maker’s page yet.
Prices checked 2026-09-25 on the maker’s page.
Capabilities
- Runs commands — “It runs shell commands behind an approval gate you control, delegates to sub-agents, and loads MCP servers, plugins and skills.” source
- VS Code — “Install on openSUSE and drive it from VS Code” source
- Command line — “Run local-ai chat and you are talking to an agent that already knows where your models are.” source
- Choice of models — “Every tier of every model we quantize, ranked against the hardware you actually have and installed with one click.” source
- Self-hosted — “keep your data on your hardware, and scale to a room full of GPUs when you need more capacity.” source
- API — “One binary with an OpenAI-compatible API in front of it.” source
- Runs models for you — “Point an existing client at it and the calls keep working, except now the model is on your machine.” source
- Builds agents and workflows — “Run local-ai chat and you are talking to an agent that already knows where your models are.” source
- Search over your data — “Agents, MCP, skills, RAG, interactive tools” source
Latest updates
- v4.10.0 (v4.10.0)
Added a fleet operations dashboard, credentials.yaml authentication, and CLI end-to-end latency and throughput benchmarking.
- v4.9.0 (v4.9.0)
Authentication now defaults to deny; chat supports context compression, canonical model/backend pages, and video serving in vllm-cpp.
- v4.8.0 (v4.8.0)
Added the vllm-cpp backend, 3D generation, a multi-family audio.cpp engine, hardware-matched gallery builds, and distributed-mode fixes.