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Related Servers

Alternatives to ComputeSage server

No user-submitted related servers found.

    Related Servers

    • A
      license
      A
      quality
      A
      maintenance
      LLM deployment planner: given a model and a GPU, answers will it fit, will it hit your SLO, and what will it cost. Sizes VRAM and KV-cache from the model's real architecture, and labels every number measured, estimated, or unknown.
      5
      1,581 PyPI
      3
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables agents to pull measured local-LLM benchmark data and hardware-aware model picks — ranked configs with decode tok/s, quant and backend details, hardware catalogues, and repo submissions for review. Answers questions like "what should I run on a Strix Halo for coding?" with sourced numbers rather than invented ones.
      113 npm
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      Exposes queryable GPU inference benchmark data (quantization, throughput, VRAM, concurrent users) as tools for LLM clients.
      MIT
    • F
      license
      Not graded
      quality
      A
      maintenance
      Enables users to describe an LLM fine-tuning job once and receive ranked GPU recommendations across a dozen cloud providers, calculated from the workload's required VRAM and FLOPs. It surfaces the cheapest, fastest, and most balanced hardware options with clear data provenance, callable from Claude Code, Claude Desktop, a CLI, or a REST API.
      -

    TDQS

    A3.7/5.0

    Scored across 5 tools

    Disambiguation4/5

    Each tool targets a distinct stage in the evidence-to-deployment workflow. check_deployment_fit and predict_performance are related but clearly separated by fit versus metrics, and recommend_deployment is the only economic recommendation tool.

    Naming Consistency5/5

    All five tools use consistent lowercase snake_case verb_noun names with concrete action verbs (search, check, predict, recommend, generate), making the naming pattern predictable and readable.

    Tool Count5/5

    Five tools is appropriate for a specialized advice-and-configuration server. Every tool serves a distinct step in the workflow without redundancy or unnecessary surface area.

    Completeness5/5

    The server covers the full advisory pipeline: evidence search, fit validation, performance prediction, recommendation, and launch configuration generation. It intentionally stops before executing deployment, which is consistent with its stated purpose.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues