cornserve-ai / cornserveLinks
Easy, Fast, and Scalable Multimodal AI
☆78Updated 2 weeks ago
Alternatives and similar repositories for cornserve
Users that are interested in cornserve are comparing it to the libraries listed below
Sorting:
- [ICLR2025] Breaking Throughput-Latency Trade-off for Long Sequences with Speculative Decoding☆135Updated last year
- ☆48Updated last year
- KV cache compression for high-throughput LLM inference☆146Updated 10 months ago
- [NeurIPS 2025] Scaling Speculative Decoding with Lookahead Reasoning☆56Updated last month
- LLM Serving Performance Evaluation Harness☆82Updated 9 months ago
- A unified library for building, evaluating, and storing speculative decoding algorithms for LLM inference in vLLM☆149Updated this week
- [ICLR'25] Fast Inference of MoE Models with CPU-GPU Orchestration☆246Updated last year
- [NeurIPS 2025] Simple extension on vLLM to help you speed up reasoning model without training.☆212Updated 6 months ago
- ArcticInference: vLLM plugin for high-throughput, low-latency inference☆345Updated this week
- Code for data-aware compression of DeepSeek models☆66Updated last month
- GEAR: An Efficient KV Cache Compression Recipefor Near-Lossless Generative Inference of LLM☆170Updated last year
- An early research stage expert-parallel load balancer for MoE models based on linear programming.☆456Updated 3 weeks ago
- [OSDI'24] Serving LLM-based Applications Efficiently with Semantic Variable☆203Updated last year
- ☆63Updated 6 months ago
- ☆46Updated 7 months ago
- Genai-bench is a powerful benchmark tool designed for comprehensive token-level performance evaluation of large language model (LLM) serv…☆247Updated this week
- PyTorch library for cost-effective, fast and easy serving of MoE models.☆263Updated 2 months ago
- AI-Driven Research Systems (ADRS)☆81Updated 3 weeks ago
- Boosting 4-bit inference kernels with 2:4 Sparsity☆86Updated last year
- ☆155Updated 10 months ago
- [NeurIPS 2024] Efficient LLM Scheduling by Learning to Rank☆66Updated last year
- [ICLR2025 Spotlight] MagicPIG: LSH Sampling for Efficient LLM Generation☆243Updated 11 months ago
- 🔥 LLM-powered GPU kernel synthesis: Train models to convert PyTorch ops into optimized Triton kernels via SFT+RL. Multi-turn compilation…☆105Updated last month
- 16-fold memory access reduction with nearly no loss☆109Updated 8 months ago
- Modular and structured prompt caching for low-latency LLM inference☆106Updated last year
- ☆79Updated last month
- torchcomms: a modern PyTorch communications API☆302Updated this week
- ☆114Updated 6 months ago
- Efficient LLM Inference over Long Sequences☆393Updated 5 months ago
- Training-free Post-training Efficient Sub-quadratic Complexity Attention. Implemented with OpenAI Triton.☆148Updated last month