Paella: Low-latency Model Serving with Virtualized GPU Scheduling
☆71May 1, 2024Updated 2 years ago
Alternatives and similar repositories for paella
Users that are interested in paella are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Optimizing data-intensive systems in disaggregated data centers☆13Jun 13, 2022Updated 3 years ago
- Compiler for Dynamic Neural Networks☆45Nov 13, 2023Updated 2 years ago
- OSDI 2023 Welder, deeplearning compiler☆34Nov 24, 2023Updated 2 years ago
- DISB is a new DNN inference serving benchmark with diverse workloads and models, as well as real-world traces.☆59Aug 21, 2024Updated last year
- Tacker: Tensor-CUDA Core Kernel Fusion for Improving the GPU Utilization while Ensuring QoS☆33Feb 10, 2025Updated last year
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- REEF is a GPU-accelerated DNN inference serving system that enables instant kernel preemption and biased concurrent execution in GPU sche…☆108Dec 24, 2022Updated 3 years ago
- libsmctrl论文的复现，添加了python端接口，可以在python端灵活调用接口来分配计算资源☆12May 21, 2024Updated 2 years ago
- Source code for Speedlight, a system for Synchronized Network Snapshots☆10Aug 21, 2020Updated 5 years ago
- ☆53Dec 26, 2024Updated last year
- GLake: optimizing GPU memory management and IO transmission.☆501Mar 24, 2025Updated last year
- An interference-aware scheduler for fine-grained GPU sharing☆162Nov 26, 2025Updated 5 months ago
- A flexible and efficient deep neural network (DNN) compiler that generates high-performance executable from a DNN model description.☆1,001Sep 19, 2024Updated last year
- Splits single Nvidia GPU into multiple partitions with complete compute and memory isolation (wrt to performace) between the partitions☆164Apr 21, 2019Updated 7 years ago
- Scaling Up Memory Disaggregated Applications with SMART☆34Apr 23, 2024Updated 2 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- A resilient distributed training framework☆100Apr 11, 2024Updated 2 years ago
- AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving (OSDI 23)☆94Jul 14, 2023Updated 2 years ago
- ☆11Mar 9, 2022Updated 4 years ago
- A GPU-accelerated DNN inference serving system that supports instant kernel preemption and biased concurrent execution in GPU scheduling.☆43May 29, 2022Updated 3 years ago
- Fine-grained GPU sharing primitives☆148Jul 28, 2025Updated 9 months ago
- Official implementation for the paper Lancet: Accelerating Mixture-of-Experts Training via Whole Graph Computation-Communication Overlapp…☆14Updated this week
- PipeSwitch: Fast Pipelined Context Switching for Deep Learning Applications☆127May 9, 2022Updated 4 years ago
- DietCode Code Release☆65Jul 21, 2022Updated 3 years ago
- play gemm with tvm☆91Jul 22, 2023Updated 2 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- ☆38Jun 27, 2025Updated 10 months ago
- Jetson embedded platform-target deep learning inference acceleration framework with TensorRT☆30Oct 10, 2025Updated 7 months ago
- Bamboo is a system for running large pipeline-parallel DNNs affordably, reliably, and efficiently using spot instances.☆55Dec 11, 2022Updated 3 years ago
- Optimize tensor program fast with Felix, a gradient descent autotuner.☆33Mar 5, 2026Updated 2 months ago
- A source-to-source compiler for optimizing CUDA dynamic parallelism by aggregating launches☆15Jun 21, 2019Updated 6 years ago
- ☆10Nov 22, 2020Updated 5 years ago
- Benchmark workloads of Boki☆11Sep 8, 2021Updated 4 years ago
- Protecting Real-Time GPU Kernels on Integrated CPU-GPU SoC Platforms☆12Apr 9, 2018Updated 8 years ago
- A throughput-oriented high-performance serving framework for LLMs☆959Mar 29, 2026Updated last month
- 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.
- SparseTIR: Sparse Tensor Compiler for Deep Learning☆143Mar 31, 2023Updated 3 years ago
- PyTorch compilation tutorial covering TorchScript, torch.fx, and Slapo☆17Mar 13, 2023Updated 3 years ago
- Supplemental materials for The ASPLOS 2025 / EuroSys 2025 Contest on Intra-Operator Parallelism for Distributed Deep Learning☆25May 12, 2025Updated last year
- ☆29Apr 4, 2024Updated 2 years ago
- Artifacts for our NSDI'23 paper TGS☆97Jun 10, 2024Updated last year
- [ACM EuroSys 2023] Fast and Efficient Model Serving Using Multi-GPUs with Direct-Host-Access☆56Aug 6, 2025Updated 9 months ago
- Hooked CUDA-related dynamic libraries by using automated code generation tools.☆172Dec 12, 2023Updated 2 years ago