Run AI model inference in a machine-agnostic environment where the same model and inputs produce the same outputs across supported hardware.
Introducing REE: Reproducible Execution Environment
A REE run produces two outputs: the generated text and a receipt. The receipt binds the job inputs to the job output, including the model, prompt, configuration, and generated result.
Open-Source Agentic Inference Benchmark | InferenceX
Compare AgentX, InferenceX's long-context, multi-turn coding scenario, with fixed-sequence AI inference across chips and frameworks. Public NVIDIA and AMD runs update when configurations change.
Wafer - Ship the fastest inference in the world
Autonomous AI agents that profile, diagnose, and optimize GPU inference across your entire stack — from kernels to models to production pipelines.
High Performance AI Lab
High Performance AI Lab builds open inference systems and publishes the conditions behind every number — device, model, quant, and rep count.
MirrorCode: A benchmark for real-world software projects
Keynote: Reproducibility and replicability of computer simulations | Canal U
Since the early days of the reproducibility crisis, much progress has been made in understanding and improving computational reproducibility and replicability (R and R)...
Introducing LM Studio Bionic: the AI agent for open models
The AI agent made for open models, built to get things done.
Inngest - Durable Execution for Workflows & AI
Build reliable background jobs, workflows, and AI agents without extra infrastructure. Automatic retries, flow control, and step-level observability.
Git AI - Track AI Code all the way to production
Cross-agent observability from prompt to production. Track AI-generated code from Cursor, Claude Code, GitHub Copilot, Gemini, and more through the entire SDLC.
LukeW | Common AI Product Issues
At this point, almost every software domain has launched or explored AI features. Despite the wide range of use cases, most of these implementations have been t...
Mount Thor — AI Execution Environments on Apple Hardware
Managed macOS environments for AI workloads that require native desktop access, persistent state, or model inference on Apple silicon.
Hyprstream - the open network for self-improving AI, the future of Plan9
wharton-generative-ai-labs/AIBO
An open-source tool for running controlled behavioral experiments on AI systems at scale.
Open Source AI Inference Benchmark | InferenceX
Compare AI inference performance across GPUs and frameworks. Real benchmarks on NVIDIA GB200, B200, AMD MI355X, and more. Free, open-source, continuously updated.
Environments in Managed Agents | Gemini API | Google AI for Developers
Learn about persistent execution environments for managed agents in the Gemini API, including pre-installed software, snapshots, and configuration options.
