PyTorch library for cost-effective, fast and easy serving of MoE models.
☆302Apr 17, 2026Updated last week
Alternatives and similar repositories for MoE-Infinity
Users that are interested in MoE-Infinity are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [DAC'25] Official implement of "HybriMoE: Hybrid CPU-GPU Scheduling and Cache Management for Efficient MoE Inference"☆113Dec 15, 2025Updated 4 months ago
- ☆13Jun 29, 2024Updated last year
- Compiler for Dynamic Neural Networks☆45Nov 13, 2023Updated 2 years ago
- Curated collection of papers in MoE model inference☆381Mar 12, 2026Updated last month
- [OSDI'24] Serving LLM-based Applications Efficiently with Semantic Variable☆214Sep 21, 2024Updated last year
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- A low-latency & high-throughput serving engine for LLMs☆496Jan 8, 2026Updated 3 months ago
- [ICLR'25] Fast Inference of MoE Models with CPU-GPU Orchestration☆265Nov 18, 2024Updated last year
- ☆311Jul 10, 2025Updated 9 months ago
- ☆59May 4, 2024Updated last year
- [ICML 2024] Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inference☆381Jul 10, 2025Updated 9 months ago
- Explore Inter-layer Expert Affinity in MoE Model Inference☆16May 6, 2024Updated last year
- ☆132Nov 11, 2024Updated last year
- Dynamic Memory Management for Serving LLMs without PagedAttention☆480May 30, 2025Updated 11 months ago
- A tiny yet powerful LLM inference system tailored for researching purpose. vLLM-equivalent performance with only 2k lines of code (2% of …☆327Jun 10, 2025Updated 10 months ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Code release for AdapMoE accepted by ICCAD 2024☆38Apr 28, 2025Updated last year
- ☆20Sep 28, 2024Updated last year
- A fast communication-overlapping library for tensor/expert parallelism on GPUs.☆1,295Aug 28, 2025Updated 8 months ago
- ☆88Oct 17, 2025Updated 6 months ago
- ☆47Jun 27, 2024Updated last year
- STREAMer: Benchmarking remote volatile and non-volatile memory bandwidth☆18Aug 21, 2023Updated 2 years ago
- MSCCL++: A GPU-driven communication stack for scalable AI applications☆505Updated this week
- NEO is a LLM inference engine built to save the GPU memory crisis by CPU offloading☆94Jun 16, 2025Updated 10 months ago
- [ICLR 2025] DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming Heads☆540Feb 10, 2025Updated last year
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- [ICLR 2025] TidalDecode: A Fast and Accurate LLM Decoding with Position Persistent Sparse Attention☆53Aug 6, 2025Updated 8 months ago
- [ICLR2025] Breaking Throughput-Latency Trade-off for Long Sequences with Speculative Decoding☆146Dec 4, 2024Updated last year
- Serverless LLM Serving for Everyone.☆675Mar 6, 2026Updated last month
- A GPU-driven system framework for scalable AI applications☆126Apr 7, 2026Updated 3 weeks ago
- Automatically Discovering Fast Parallelization Strategies for Distributed Deep Neural Network Training☆1,873Apr 23, 2026Updated last week
- [HPCA 2026] A GPU-optimized system for efficient long-context LLMs decoding with low-bit KV cache.☆86Dec 18, 2025Updated 4 months ago
- ☆242Oct 24, 2025Updated 6 months ago
- ☆40Dec 19, 2025Updated 4 months ago
- Stateful LLM Serving☆99Mar 11, 2025Updated last year
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- [ACM EuroSys 2023] Fast and Efficient Model Serving Using Multi-GPUs with Direct-Host-Access☆56Aug 6, 2025Updated 8 months ago
- ☆158Oct 9, 2024Updated last year
- A throughput-oriented high-performance serving framework for LLMs☆954Mar 29, 2026Updated last month
- Efficient and easy multi-instance LLM serving☆547Mar 12, 2026Updated last month
- LLM Serving Performance Evaluation Harness☆85Feb 25, 2025Updated last year
- An interference-aware scheduler for fine-grained GPU sharing☆162Nov 26, 2025Updated 5 months ago
- A sparse attention kernel supporting mix sparse patterns☆503Jan 18, 2026Updated 3 months ago