Today, model discovery, dataset management, and GPU compute live on separate platforms. Sankhya brings it all together. Discover models, explore datasets, and train with on-demand GPUs in one place.
Every existing platform solves one piece. None of them give you the full picture.
Existing model hubs host thousands of models, but if you want real training with raw GPU access, custom loops, or distributed compute, you're on your own.
Great for learning and quick experiments, but you can't scale beyond a single free-tier GPU. Session limits, no persistent storage, no path to production.
Researchers and startups are forced to stitch together 3-4 different tools just to go from "I found a model" to "I trained and deployed it." That's broken.
Sankhya is a single platform where you can discover, train, and deploy without juggling tools.
Host, discover, version, and share models. Pull any model for inference or fine-tuning all within the platform.
Upload, explore, and version datasets. Built-in preprocessing and streaming so you can go from raw data to training-ready in minutes.
Rent GPUs by the hour, from a single GPU for quick experiments to multi-GPU clusters for large-scale training. No long-term contracts.
Jupyter and VS Code environments with real GPU hardware behind them. No session timeouts, no fighting for resources.
Pre-configured environments for popular frameworks like PyTorch, TensorFlow, JAX, and more. Pick a template, get a ready-to-run setup in seconds.
Deploy models as auto-scaling endpoints. Scale to zero when idle, handle thousands of requests when needed. Pay only for what you use.
Stop waiting weeks for cluster access. Run experiments on real GPUs, share reproducible results, and publish models, all from your browser.
Go from idea to trained model to deployed API without managing infrastructure. Focus on your product, not on DevOps and YAML files.
Multi-GPU training for large-scale projects in biotech, climate, NLP, and more. Bring your own training loop, we'll provide the compute.
We're building Sankhya right now and would love your input. Join the waitlist to get early access and help shape the platform.
We'll reach out to early signups for feedback and beta access.
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