Rebellions SDK

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Built for developers who scale AI

Rebellions delivers the performance and efficiency of custom AI silicon—without compromising the software experience.
From PyTorch and vLLM to Triton, our stack offers a seamless, GPU-like workflow optimized for real-world AI inference at scale.

Unified Inference Stack That Just Works

A GPU-class software experience designed for scalable AI inference

  • Native integration with PyTorch, vLLM, and Triton
  • Broad model support including MoE and decoder-only LLMs
  • Production-proven in high-concurrency, latency-sensitiev environments

PyTorch-Native Inference Engine

Purpose-built for real-world PyTorch workflows

  • Graph-mode optimization for hardware-accelerated execution
  • Eager mode for flexible experimentation and prototyping
  • Distributed inference via Collective Communication Library
  • Intelligent precision control across FP32, FP16, FP8, FP6, and FP4

vLLM Serving, Optimized for Concurrency

High-throughput LLM serving with native PyTorch support

  • Ideal for high QPS workloads with long-context models
  • Standard PyTorch API compatibility
  • Hugging Face integration for fast model onboarding

Triton SDK & Developer Tooling

Low-level programmability meets developer-friendly design

  • Triton backend with custom kernel programming support
  • Intuitive APIs for seamless integration into ML pipelines
  • Built-in profiling and debugging tools
  • Extensive docs and real-world example codes
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