Devpost
Participate in our public hackathons
Devpost for Teams
Access your company's private hackathons
Grow your developer ecosystem and promote your platform
Drive innovation, collaboration, and retention within your organization
By use case
Blog
Insights into hackathon planning and participation
Customer stories
Inspiration from peers and other industry leaders
Planning guides
Best practices for planning online and in-person hackathons
Webinars & events
Upcoming events and on-demand recordings
Help desk
Common questions and support documentation
Minimizing AI's carbon footprint without sacrificing intelligence. A smart routing layer prioritising speed, cost, and planetary health by processing real time energy statistics.
A lightweight RL agent that cuts Data Centres' CO2 emissions by learning to route jobs across global datacenters based on real-time grid carbon intensity — no forecasts needed, just learned behaviour.
Train AI faster, cheaper, and greener. GreenLove benchmarks your PyTorch models locally and helps you switch to Crusoe Cloud's 100% renewable GPUs to cut your CO₂ emissions to zero.
Under strict laws like the EU AI Act, carbon-heavy data centers are a massive liability. ImpactCheck ingests pre-construction plans to report on emissions, compliance, and strategy.
CaSch (Carbon Scheduler) profiles your training job, shows you how much CO₂ you save by stretching wall-clock time, and schedules it across the cleanest grid windows. Pick zone and budget. Hit run.
Build More, Burn Less
Carbon-Smart model Gateway - enterprise routing that turns model optimization into measurable savings.
Discover and resolve what your digital life costs the planet and take back control
Every major data centre built in the wrong place strains the grid, wastes renewable energy, and locks in carbon for decades. WattWhere makes sure that doesn't happen.
Route smarter. Emit less. GreenProxy routes every AI request to the lowest-carbon LLM region in real time with full transparency to the user. Green electricity, no compromises.
Verdex is a two‑layer sustainable AI orchestration engine that cuts data‑centre emissions at the source.
A platform to enable AI labs to procure and run hardware in a sustainable manner.
MetaTune recycles wasted compute in AI training by generating insights to optimize future model training - making AI more accessible and greener for all.
GridSurf uses a Nobel Prize-winning pricing mechanism to shift cloud compute to the cheapest, greenest slots. Flexible users pay less, nobody can game the system. Lower bills, lower carbon, by design.
The explosive growth of AI computing is consuming so much energy and water that it threatens the planet, forcing the tech industry to urgently switch to building energy-efficient "Green Software".
AI data centers waste billions in idle energy. SUSTAIN matches that surplus to real demand, turning GPU overcapacity into a renewable grid asset.
Project Net Zero optimizes AI code for a lower footprint. Save 5-10% energy: leaner code, greener intelligence. Learn more at our site: https://www.projectnetzero.eu/
The cheapest, cleanest, and most sustainable energy for large-scale frontier model training. Scheduling foundational model training conditioned on data-driven weather predictions.
Wattless cut LLM startups’ GPU bill by 60%. We turn unstable servers into a 100% reliable grid via time-shifting & smart-recovery. Don’t fund Amazon’s margin. Stop paying the fear tax.
