20 Hugging Face Spaces alternatives
Hugging Face Spaces: Deploy and maintain applications on Hugging Face Spaces — SDK choice, GPU hardware, model loading, and debugging. 20 agent skills do similar work, most sharing GPU, Python and Deployment, ranked by how much they have in common with Hugging Face Spaces.
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by Hugging Face
Fine-tune language and vision models with TRL or Unsloth — supervised, preference, and reinforcement training methods.
Also: GPU, Hugging Face, Python
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by Vercel
Vercel's official deployment skill — inspects project state, picks the right deploy path, and defaults to preview deployments with a claimable URL when no account is linked.
Also: Deployment, Hosting
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by Netlify
Netlify's official deploy skill: netlify.toml deploy contexts and their precedence, CLI and drag-and-drop deploys, Deploy Previews, build hooks, skew protection, and secrets-scanning build failures.
Also: Deployment, Hosting
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by Hugging Face
Hugging Face's official CLI skill — download, upload, and manage models, datasets, Spaces, and Jobs from the terminal.
Also: Deployment, Hugging Face
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by Hugging Face
Build Gradio web UIs and ML demos in Python with the current API — components, layouts, events, and chat interfaces.
Also: Hugging Face, Python
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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: Deployment, GPU
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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: Deployment, GPU
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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.
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by Hugging Face
Fine-tune object detection, image classification and SAM/SAM2 segmentation models on Hugging Face Jobs cloud GPUs, with dataset validation before you spend GPU minutes.
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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.
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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.
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by Hugging Face
Choose and run the right local model with llama.cpp and GGUF — quantisation, hardware fit, and local serving.
Also: Hugging Face
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by Hugging Face
Run machine learning models directly in the browser or Node with Transformers.js — no inference server required.
Also: Hugging Face
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by AMD
AMD's official skill for benchmarking vLLM/SGLang inference and driving GPU kernel optimization with Magpie and TraceLens trace analysis.
Also: GPU
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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
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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
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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
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by AWS Labs
Read-only diagnostics for cluster-wide SageMaker HyperPod failures on EKS or Slurm — CloudFormation errors, EFA health checks, lifecycle scripts, capacity, dangling nodes and autoscaler conflicts.
Also: GPU
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by NVIDIA
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.
Also: GPU
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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
