Skip to Main Content

Mavericks

OpenEnv Hackathon SF

ComputeExchange is the Expedia or Uber or AirBNB of compute resources. Enterprises struggle to decide where workloads should run across CPUs, GPUs, NPUs, and multiple clouds. Compute capacity is fragmented across hyperscalers, neoclouds, and datacenters, making it difficult to optimize cost, performance, and availability. We built ComputeExchange, an OpenEnv-based multi-agent environment where AI agents analyze workloads, negotiate with compute providers, and generate optimized execution plans. A workload characterization agent decomposes tasks across CPUs, GPUs, or accelerators, while negotiation agents interact with provider agents using different strategies.The system proposes the best plan for human approval, then learns from execution results to continuously improve compute orchestration over time.

Team

shreem

Placement

Participant

More from OpenEnv Hackathon SF

Noclue

Kube SRE Gym is a self-improving RL environment where a small language model (Qwen3-1.7B) learns to diagnose and fix real Kubernetes production incidents…

Noclue project preview

Zero Shot Cancer

RL environment for autonomous biologist agents. Simulate an entire biological worldstate based on scientifically-accurate single-cell standards. Naive agents…

Zero Shot Cancer project preview

Lambda

ShopRLVE-GYM HF Blog https://huggingface.co/blog/thebajajra/shop-rlve-gym

Lambda project preview

Play-gent

Our agent uses OpenEnv to build a curriculum of video game environments that train a TinyLlama 1.1B agent via GRPO reinforcement learning. We implement three…

Play-gent project preview

Gaia

GAIA is an OpenEnv-compatible geospatial reasoning environment where an AI agent infers hidden real-world locations using multi-step tool calls (terrain…

drive.google.com/…

Deepmind Ace

Voyager-VRAM is a long-horizon workplace simulator where LLM agents must navigate a realistic office environment ( emails, Slack, shared drive, spreadsheets…

Deepmind Ace project preview