
AI Inference Hack Day
Join us for the AI Inference Hack Day — a full-day hackathon designed for innovators at the intersection of model APIs and real-world application challenges!
📅 On a vibrant day at the AWS Builder Loft in San Francisco, we’re gathering AI builders for a focused hacking experience, sponsored by Akamai AI Inference Cloud. Your mission? Create a working demo that highlights how enhanced inference choices can lead to AI products that are faster, cheaper, safer, and more reliable!
What to Expect:
- 🎉 Practical kickoff sessions
- 🛠️ Hands-on workshops and implementation clinics
- ⏳ Focused build time
- 📦 Project submissions
- 🏆 Finalist demos and judging
- 🌆 Evening networking session to connect with peers!
Potential Projects You Could Develop:
- Model routing based on price, speed, quality, or task type
- Evals or observability tools for production AI workflows
- Latency-sensitive agents, assistants, or product features
- Cost-aware AI tools that improve user experience
- Developer tools for testing, debugging, or deploying inference
- Vertical AI products where reliability is crucial
Workshops Will Cover:
- Inference architecture
- Model routing and deployment tradeoffs
- Decision-making on latency and cost
- Evals, observability, and product reliability
Who Should Attend:
Calling all AI engineers, founders, applied ML builders, infrastructure teams, developer tooling teams, product creators, students, and independent builders focused on LLMs or generative AI!
Technical & Non-Technical Teams Welcome:
Don’t worry if you’re not a full engineering team! We encourage technical builders, product teams, designers, operators, founders, and mixed teams to join. Bring your product problem, workflow, prototype, customer insight, or technical idea, and transform it into reality throughout the day!
🍽️ Food will be provided. Admission is FREE but registration is approval-based due to limited space at the AWS Builder Loft.
Register Here!
HINWEIS: Wir können die Richtigkeit der Informationen zu dieser Veranstaltung nicht garantieren. Besuchen Sie die Webseite der Veranstaltung, um Details wie Datum, Öffnungszeiten, Preise und Ort zu überprüfen.

