A high-throughput and memory-efficient inference and serving engine for LLMs
Apache Kafka - A distributed event streaming platform
⚡ In-Memory Vector Search Engine & HNSW ANN Graph in Java 21 Loom. Sub-millisecond KNN retrieval, 8-bit scalar quantization (SQ8), 16,000+ QPS.
🇮🇳 High-Performance Geospatial Administrative Hierarchy & Proximity Query Engine for India's 650k+ Census Settlements (Java 21 Loom, 2D KD-Tree, 38k+ QPS).
A 4B diffusion grounding model for fast, precise visual evidence extraction. Unifies diverse grounding tasks through parallel decoding, with optional self-speculative decoding delivering 4.51x autoregressive throughput on COCO.
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Infinity is a high-throughput, low-latency serving engine for text-embeddings, reranking models, clip, clap and colpali
The fastest unified streaming SQL Engine in a single C++ binary. ⚡ Millisecond latency. 100+ GB/s throughput. Continuously compute stateful context from streams, logs, metrics, events, and CDC.
The simplest, highest-throughput Python interface to S3, GCS & Azure Storage, powered by Rust.
A multi-cluster batch queuing system for high-throughput workloads on Kubernetes.
A simple, high-throughput file client for mounting an Amazon S3 bucket as a local file system.
Grafana dashboard for NVIDIA DGX Spark clusters running vLLM: throughput, contention, and GB10 GPU hardware telemetry (NVIDIA-themed, 55 panels)
GPU-accelerated optical file transfer with megabyte-scale throughput. Android recommended; browser decoder will not give full speed.
Eclipse OpenJ9: A Java Virtual Machine for OpenJDK that's optimized for small footprint, fast start-up, and high throughput. Builds on Eclipse OMR (https://github.com/eclipse/omr) and combines with the Extensions for OpenJDK for OpenJ9 repo.
OpenLake is a high performance storage engine for efficient LLM inference and GPU Training
a realtime plotting utility for terminal/console with data input from stdin
High throughput synchronous and asynchronous reinforcement learning
C library for high-throughput sequencing data formats
Compare throughput benchmark from various Bun HTTP framework
Sui, a next-generation smart contract platform with high throughput, low latency, and an asset-oriented programming model powered by the Move programming language
Readyset is a MySQL and Postgres wire-compatible caching layer that sits in front of existing databases to speed up queries and horizontally scale read throughput. Under the hood, ReadySet caches the results of cached select statements and incrementally updates these results over time as the underlying data changes.
Open-source software for volunteer computing and grid computing.
rari: High-performance React Server Components framework powered by a Rust runtime, delivering 14.5x faster response times (0.12ms vs 1.74ms) and 53.1x higher throughput (89,371 vs 1,683 req/sec) than Next.js with zero-config setup.
Train and serve LLMs at extreme speed and massive throughput.
Microservices library - scalecube-services is a high throughput, low latency reactive microservices library built to scale. It features: API-Gateways, service-discovery, service-load-balancing, the architecture supports plug-and-play service communication modules and features. built to provide performance and low-latency real-time stream-processing
A quality control analysis tool for high throughput sequencing data
Capping GPU clocks on NVIDIA GB10: -12C peak temp, -36% GPU power, ~1.6% throughput cost. Measurement harness, raw data, and the systemd unit.
Code, datasets, and results for "The Embedder's Dilemma: LLMs Are Better, but at What Cost?" (COLM 2026). MTEB(LLM) benchmarks 10 LLMs and 26 embedding models on 37 tasks with full cost and throughput accounting.
High-throughput HTTP event ingestion gateway with live SSE telemetry, payload auditing, and localhost dispatch capabilities.
An agent-native workspace for quantitative research: an in-terminal notebook, a high-performance time-series database, and a high-throughput backtesting engine. Written in Rust.
High-throughput batched ASR for NVIDIA GPUs. Run Zipformer and NVIDIA NeMo Parakeet models through one Python API with TensorRT, custom CUDA plugins, GPU beam search, and word timestamps - up to 25,000 RTFx on B300.
Load and latency harness for Model Context Protocol (MCP) servers. Drives real tools/call traffic at configurable concurrency, measures latency percentiles and throughput, and fails CI when a server misses its performance budget. Stdlib-first, zero required dependencies for stdio.
A low-latency, high-throughput, and billion-scale GPU-SSD vector search system.
Reproducible execution throughput benchmark for the Quantova node
The same HTTP API in 10 languages at 3 sizes, 30 implementations. Token cost for LLM agents, plus cold start, latency, throughput, CPU and memory. All measured, all verified over live HTTP.
Garnet is a remote cache-store from Microsoft Research that offers strong performance (throughput and latency), scalability, storage, recovery, cluster sharding, key migration, and replication features. Garnet can work with existing Redis clients.