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  • A
    license
    B
    quality
    D
    maintenance
    Enables users to describe their LLM fine-tuning job once and get the cheapest, fastest, and most balanced GPU options across a dozen cloud providers in seconds.
    7
    104
    MIT
  • A
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    Not graded
    quality
    B
    maintenance
    Enables developers to manage Genesys Cloud Function Data Actions through natural language in Cursor, including validating, building, planning, and applying function deployments while enforcing safety controls like plan-before-apply and read-only mode.
    2
    MIT
  • A
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    Not graded
    quality
    D
    maintenance
    MCP server for executing Databricks SQL queries and comparing table data, supporting CLI and VS Code integration.
    1
    MIT
  • F
    license
    Not graded
    quality
    A
    maintenance
    Enables users to describe an LLM fine-tuning workload and receive ranked, cost- and runtime-optimized GPU recommendations across multiple cloud providers by estimating VRAM and FLOPs.
    -
  • F
    license
    Not graded
    quality
    A
    maintenance
    Enables users to describe an LLM fine-tuning job once and receive the cheapest, fastest, or most balanced GPU hardware options across a dozen cloud providers by calculating required VRAM/FLOPs and aggregating live pricing.
    -
  • F
    license
    Not graded
    quality
    A
    maintenance
    Enables users to describe an LLM fine-tuning workload once and get task-aware VRAM/FLOPs estimates plus ranked cheapest, fastest, and balanced GPU recommendations across multiple cloud providers.
    -
  • F
    license
    Not graded
    quality
    A
    maintenance
    Enables users to describe an LLM fine-tuning job and receive ranked GPU recommendations across a dozen cloud providers based on estimated VRAM/FLOPs, live pricing, cost, and speed. It returns cheapest, fastest, and balanced hardware options without manual comparison.
    -
  • F
    license
    Not graded
    quality
    A
    maintenance
    Enables users to describe an LLM fine-tuning workload once and get ranked, cost- and speed-optimized GPU recommendations across multiple cloud providers by estimating VRAM/FLOPs requirements.
    -
  • F
    license
    Not graded
    quality
    A
    maintenance
    Enables users to describe an LLM fine-tuning job once and receive VRAM/FLOPs-aware recommendations for the cheapest, fastest, or most balanced GPU options across a dozen cloud providers.
    -
  • F
    license
    Not graded
    quality
    A
    maintenance
    It enables users to describe an LLM fine-tuning workload once and receive task-aware VRAM/FLOPs estimates plus ranked cheapest, fastest, or balanced GPU recommendations across multiple cloud providers.
    -
  • F
    license
    Not graded
    quality
    A
    maintenance
    Enables users to describe a fine-tuning workload once and receive task-aware VRAM/FLOP estimates plus ranked cheapest, fastest, and balanced GPU options across multiple cloud providers. It can be used from Claude Code/Desktop or CLI/API to identify viable hardware options without manually comparing provider pricing.
    -
  • F
    license
    Not graded
    quality
    A
    maintenance
    Enables users to describe an LLM fine-tuning job in natural language and receive ranked GPU recommendations from a dozen cloud providers, based on estimated VRAM and FLOPs requirements. It surfaces the cheapest, fastest, and most balanced hardware options while disclosing the source and freshness of each price.
    -
  • F
    license
    Not graded
    quality
    A
    maintenance
    Enables users to describe an LLM fine-tuning workload once and receive ranked, task-aware GPU recommendations across a dozen cloud providers based on required VRAM/FLOPs, cost, and runtime. It surfaces the cheapest, fastest, and balanced options through MCP so coding assistants can plan training hardware without manual price comparison.
    -
  • F
    license
    Not graded
    quality
    A
    maintenance
    Enables users to describe an LLM fine-tuning workload once and get task-aware VRAM/FLOPs calculations with cheapest, fastest, and balanced GPU recommendations across a dozen cloud providers. It supports CLI, REST API, and natural-language MCP integration without manual price comparison.
    -
  • F
    license
    Not graded
    quality
    A
    maintenance
    Enables users to describe an LLM fine-tuning workload and automatically estimate VRAM/FLOPs to recommend the cheapest, fastest, and balanced GPU options across multiple cloud providers. It supports natural-language requests through MCP, returning structured ranked hardware recommendations without manual price comparison.
    -
  • A
    license
    Not graded
    quality
    C
    maintenance
    Enables turning mSCP security baselines into Microsoft Intune configuration for macOS and iOS/iPadOS, including profiles, compliance checks, remediation scripts, and inventory, with local review before controlled pushing to a tenant.
    MIT