About us
We are a global collective of machine learning engineers, cloud architects, systems designers, and AI pioneers dedicated to pushing the boundaries of hardware-accelerated computing. Founded by a passionate group of TPU (Tensor Processing Unit) engineers and machine learning practitioners, we are an open, independent, and developer-led ecosystem.
Whether you are optimizing massive LLM training pipelines, scaling real-time inference, or experimenting with specialized hardware configurations, this is your dedicated space to share knowledge, swap benchmarks, and collaborate on the future of AI infrastructure.
Upcoming events
1

TPU community meet up #1
EPAM HUB, Fabryczna 1a, 31-553 Kraków, Poland, Kraków, PL# The TPU Community Meetup #1: High-Performance AI Compute & Acceleration
Join us for the inaugural meetup of The TPU Community in Krakow!
This is an independent, developer-led space built for machine learning engineers, cloud architects, and systems designers who want to push the boundaries of hardware-accelerated computing.
Our first event features a complete, full-stack storytelling arc-moving from raw hardware and framework integration, up to serving massive models at scale, and finally to building robust, production-grade AI agent systems.
Whether you are already running workloads on Tensor Processing Units (TPUs) or are curious about migrating from GPUs to optimize your compute costs, this is your space to connect, share benchmarks, and learn from real production use cases.***
### 📅 Event Details
- Date: Thursday, November 19, 2026
- Time: 18:00 – 21:00 CET
- Location: EPAM Hub, Fabryczna 1a, Krakow
- Entry: Free (RSVP required for building security check-in)
- Perks: Cold drinks, pizza, and networking!
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### ⏱️ Agenda & Storytelling Flow
- 18:00 – 18:20 | Doors Open
- Arrive early, grab a drink, and meet fellow AI infrastructure enthusiasts.
- 18:20 – 18:30 | Opening: The TPU Community Vision
- Speaker: Magda Kustosz (Community Program Manager)
- A quick welcome introducing the community’s mission and our exciting roadmap.
- 18:40 – 19:10 | Talk 1: TorchTPU: Native PyTorch Execution on Google TPU
- Speaker: Viacheslav Koval
- The Hardware & Compiler Layer: Unifying PyTorch across TPU and GPU: what does it open up for ML development, and is TPU development possible without Jax?
- 19:10 – 19:40 | Talk 2: Anatomy of an LLM Request: Scaling Self-Hosted Inference with LLM-D
- Speaker: Cagatay Gurturk
- The Infrastructure & Serving Layer: An architectural exploration of what happens to a request when it hits an LLM. Learn how to orchestrate, partition, and scale self-hosted models efficiently on production-grade infrastructure using LLM-D.
- 19:40 – 19:50 | Quick Pizza Recharge & Networking Break (30 mins)
- 19:50 – 20:20 | Talk 3: From Vibing Chaos to Reliable Agents: Harness Engineering in the AI Ecosystem
- Speaker: Darren "Dazbo" Lester (Google Developer Expert)
- The Application & Agentic Layer: Rapid prototyping is fun, but unconstrained "vibe coding" quickly collapses under hallucination and architectural debt. Learn how to shift developer interventions left using Context Engineering, Autonomous Loop Engineering, and Spec-Driven Development (SDD) to ship deterministic, production-ready AI agents.
- 20:20 – 21:00 | Networking
- Chat with the speakers, ask your toughest technical questions, and connect with the community.
***
### 👤 Security & Check-in Notice
Because this event is hosted inside the EPAM Hub, we must share the attendee list with building security in advance.
- Please ensure your Meetup profile displays your real first and last name.
- Registration closes 2 days prior to the event (Tuesday, November 17th, EOD) to finalize the security list.
***
### 🤝 Join our Digital Hub
Can't wait until the event? Join our online spaces to start swapping benchmarks, sharing articles, and troubleshooting compilation errors:
👉 WeAreCommunity Profile: https://wearecommunity.io/communities/tpucommunity
👉 Discord Server: [Link coming soon!]Let's build the future of accelerated AI together. 🛠️
5 attendees
