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20 NVIDIA Nemotron Speech (Riva) NIM Operator alternatives

NVIDIA Nemotron Speech (Riva) NIM Operator: NVIDIA's official skill for deploying and operating Nemotron Speech (Riva) NIMs — ASR, text-to-speech and translation, cloud-hosted or self-hosted on your own GPUs. 20 agent skills do similar work, most sharing Inference, NVIDIA and GPU, ranked by how much they have in common with NVIDIA Nemotron Speech (Riva) NIM Operator.

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  1. by NVIDIA

    Trains, distils, quantises, evaluates, exports and runs inference for RT-DETR real-time object detection in NVIDIA TAO, routing training through AutoML hyperparameter search by default.

    Also: GPU, Inference, NVIDIA

  2. by NVIDIA

    Inspects the host's hardware, OS, CUDA driver and existing tooling, recommends one Holoscan SDK install method with a reason, then hands off to the matching install skill.

    Also: GPU, Inference, NVIDIA

  3. by NVIDIA

    Runs NVIDIA's NV-Reason-CXR-3B chest X-ray reasoning model through a documented wrapper, locally on GPU or via the public Hugging Face Space, and returns the model's full reasoning trace as engineering evidence.

    Also: GPU, Inference, NVIDIA

  4. by NVIDIA

    Turns a plain-language weather question into a working Earth2Studio inference script — picks the AI forecast model, a compatible data source, an IO backend, and the step count.

    Also: GPU, Inference, NVIDIA

  5. by NVIDIA

    Picks the right vLLM or SGLang runtime for your Jetson generation and JetPack version, then produces a working OpenAI-compatible serving command.

    Also: GPU, Inference, NVIDIA

  6. by AMD

    AMD's official skill for standing up a vLLM endpoint on Instinct MI300X/MI325X/MI350X/MI355X GPUs — detection, recipe lookup, launch and health check in one flow.

    Also: GPU, Inference

  7. by NVIDIA

    NVIDIA's official skill for generating and validating runnable gst-launch DeepStream pipelines from a plain-language description of the video inference you want.

    Also: Inference, NVIDIA

  8. by NVIDIA

    NVIDIA's official skill for bringing up Dynamo inference routing — pick a router mode, enable KV-aware routing, and smoke-test the frontend endpoint before claiming anything works.

    Also: Inference, NVIDIA

  9. by NVIDIA

    Diagnoses wrong gradients in differentiable NVIDIA Warp programs by measuring first — comparing autodiff against finite differences on a shrunk reproduction before proposing any fix.

    Also: GPU, NVIDIA

  10. by NVIDIA

    GPU-accelerated Mean-CVaR and Mean-Variance portfolio construction with NVIDIA cuOpt: scenario generation, variance-capped SOCP allocations, efficient frontiers, backtests and rebalancing.

    Also: GPU, NVIDIA

  11. by NVIDIA

    NVIDIA's official skill for DALI's imperative dynamic-mode API — write GPU data loading as ordinary Python, or migrate an existing pipeline-mode graph across.

    Also: GPU, NVIDIA

  12. by NVIDIA

    NVIDIA's official onboarding skill for CUDA-Q — installs the platform, writes your first quantum kernel, picks a GPU simulator and routes you to real QPU hardware.

    Also: GPU, NVIDIA

  13. by NVIDIA

    NVIDIA's own guidance for moving pandas workloads onto GPU DataFrames with cuDF and dask-cuDF — when it pays off, and how to keep results identical.

    Also: GPU, NVIDIA

  14. by VideoDB

    VideoDB's official skill giving an agent one interface to ingest, index, search and edit video — including live RTSP feeds and real-time desktop capture.

    Also: Transcription

  15. by Favio Vazquez

    Local video studio for coding agents: describe a video and your machine renders it, with voice-over, music and captions, no API keys.

    Also: Text-to-Speech

  16. by MiniMax AI

    MiniMax's official skill for generating text, images, video, speech and music from the terminal through the mmx CLI, with agent-safe non-interactive flags.

    Also: Text-to-Speech

  17. by Replicate

    Replicate's official skill for running models via its API — predictions, polling, Prefer: wait, webhooks with signature validation, streaming and file handling.

    Also: Inference

  18. by Hugging Face

    Choose and run the right local model with llama.cpp and GGUF — quantisation, hardware fit, and local serving.

    Also: Inference

  19. by Hugging Face

    Run machine learning models directly in the browser or Node with Transformers.js — no inference server required.

    Also: Inference

  20. by Anthropic

    Authoritative reference for the Claude API and Anthropic SDKs — model IDs, pricing, parameters, streaming, tool use, MCP, agents, prompt caching, and token counting.

    Also: Inference