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Krutrim Cloud vs LocalAI

Krutrim Cloud 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: Runs commands, VS Code, Command line, Choice of models, API, Runs models for you, Builds agents and workflows
  • Only Krutrim Cloud states: Official SDKs, Traces and evaluates
  • Only LocalAI states: Self-hosted, Search over your data

Krutrim Cloud

Krutrim Cloud provides GPU and CPU compute, storage, networking, Kubernetes, AI Pods, and AI model services.

Plans

Sandbox Compute — nano

  • ₹1.56 /hr
  • 0.25 vCPUs
  • 0.5 GiB memory
  • 20 GB disk

Sandbox Compute — small

  • ₹2.91 /hr
  • 0.5 vCPUs
  • 1 GiB memory
  • 20 GB disk

Sandbox Compute — medium

  • ₹5.61 /hr
  • 1 vCPU
  • 2 GiB memory
  • 20 GB disk

Sandbox Compute — large

  • ₹11.01 /hr
  • 2 vCPUs
  • 4 GiB memory
  • 20 GB disk

Sandbox Compute — x-Large

  • ₹21.81 /hr
  • 4 vCPUs
  • 8 GiB memory
  • 20 GB disk

Sandbox Volume storage

  • ₹0.011 /GB-hour
  • ₹8 /GB-month

    GPU Instance — A100 80 GB × 1

    • ₹189 /hr
    • ₹148 /hr (Monthly)
    • ₹132 /hr (6-month)
    • ₹98 /hr (1-year)
    • 96 GB RAM
    • 80 GB GPU memory
    • 24 vCPUs

    GPU Instance — H100 × 1

    • ₹213 /hr
    • ₹198 /hr (Monthly)
    • ₹186 /hr (6-month)
    • ₹173 /hr (1-year)
    • 200 GB RAM
    • 80 GB GPU memory
    • 24 vCPUs

    GPU Instance — H100 × 2

    • ₹426 /hr
    • ₹396 /hr (Monthly)
    • ₹372 /hr (6-month)
    • ₹346 /hr (1-year)
    • 400 GB RAM
    • 160 GB GPU memory
    • 48 vCPUs

    GPU Instance — H100 × 4

    • ₹852 /hr
    • ₹792 /hr (Monthly)
    • ₹744 /hr (6-month)
    • ₹692 /hr (1-year)
    • 800 GB RAM
    • 320 GB GPU memory
    • 96 vCPUs

    Prices checked 2026-09-25 on the maker’s page.

    Capabilities

    • Runs commands — “Create a sandbox, run a command, stream the output, and you’re done:” source
    • VS Code — “Connect VS Code” source
    • Command line — “Python MCP CLI Terraform Live terminal” source
    • Choice of models — “Krutrim Cloud's AI Studio offers access to a diverse catalogue of open-source and in-house AI models for text generation, embeddings, speech, and multimodal use cases.” source
    • API — “AWS-compatible APIs for zero-friction migration.” source
    • Official SDKs — “Python, Go, Java, Rust, and MCP integrations.” source
    • Runs models for you — “Run distributed training on GPU clusters, deploy low-latency inference, and fine-tune models with fully managed pipelines.” source
    • Builds agents and workflows — “MCP server support, AI agent frameworks, and real-time streaming inference APIs.” source
    • Traces and evaluates — “The cost of running Model Evaluations and Performance Evaluations on the Krutrim platform is the same as inference — based on the number of tokens processed.” source
    About Krutrim Cloud

    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.

    About LocalAI