# Cloud computing Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/cloud-computing
> Markdown URL: https://aitinkerers.org/technologies/cloud-computing.md
> Technology record last updated: 2026-02-23T11:01:33Z
> Generated: 2026-09-20T18:51:19Z

Cloud computing is the on-demand delivery of IT resources—compute, storage, and applications—over the internet with pay-as-you-go pricing.

It’s a model for accessing a shared pool of configurable computing resources: servers, storage, and services. Key providers like Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP) manage the physical infrastructure in remote data centers. Services break down into three models: Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). This approach eliminates the capital expense of buying and maintaining physical hardware, allowing organizations to scale capacity elastically and deploy resources in minutes, not months, which drives significant cost efficiency and agility.

- Official technology site: https://en.wikipedia.org/wiki/Cloud_computing
- Public AI Tinkerers demos and talks: 3
- Result page: 1 of 1

## Recent Public Talks and Demos

### [Asset Management &amp; AI: tech enablers, pre-requisites and examples of things that will grow](https://milan.aitinkerers.org/talks/rsvp_KVbq3zuxqvk)

In Generali Asset Management we have a series of live AI models in Asset management that are generating Alpha (investment returns) for clients and shareholders. These are advanced in terms of AI technology and advanced in terms of Asset Management usage. The talk will give a quick overview of the technology and then explore what are the pre requisites for this technology to work and then finally what I think will be coming next.

- Event context: AI Tinkerers Milan - February 24, 2026 - Agentic Orchestration in Financial Services: Architectures &amp; Demos — 2026-02-24 — Milan
- Public talk page: https://milan.aitinkerers.org/talks/rsvp_KVbq3zuxqvk

### [Transforming large scale data into vector embeddings](https://munich.aitinkerers.org/talks/rsvp_Ioie7Lci91g)

Quasara is a platform for your information retrieval focused on turning large volumes of complex visual data into high quality domain specific vector embeddings.

- Event context: AI Tinkerers Munich - November 21 — 2024-11-21 — Munich
- Public talk page: https://munich.aitinkerers.org/talks/rsvp_Ioie7Lci91g

### [An open-source toolkit to run GPU workloads on any cloud](https://munich.aitinkerers.org/talks/rsvp_gNGUWrRVWTs)

Developing, training, and deploying LLMs (Large Language Models) can be a challenging task. Managing the infrastructure can be a lot of pain, even when you're using a major cloud provider. It can be even more challenging if you're using alternative GPU providers. However, dstack, an open-source orchestration engine, can significantly simplify running GPU workloads across any cloud GPU provider.

- Event context: AI Tinkerers Munich - January 18 — 2024-01-18 — Munich
- Public talk page: https://munich.aitinkerers.org/talks/rsvp_gNGUWrRVWTs

## Related Technologies

- [AI models](https://aitinkerers.org/technologies/ai-models) ([Markdown](https://aitinkerers.org/technologies/ai-models.md)) — 6 public demos
- [APIs](https://aitinkerers.org/technologies/apis) ([Markdown](https://aitinkerers.org/technologies/apis.md)) — 19 public demos
- [BERT](https://aitinkerers.org/technologies/bert) ([Markdown](https://aitinkerers.org/technologies/bert.md)) — 179 public demos
- [BLOOM](https://aitinkerers.org/technologies/bloom) ([Markdown](https://aitinkerers.org/technologies/bloom.md)) — 115 public demos
- [dstack](https://aitinkerers.org/technologies/dstack) ([Markdown](https://aitinkerers.org/technologies/dstack.md)) — 2 public demos
- [Edge computing](https://aitinkerers.org/technologies/edge-computing) ([Markdown](https://aitinkerers.org/technologies/edge-computing.md)) — 6 public demos
- [GPT-3](https://aitinkerers.org/technologies/gpt-3) ([Markdown](https://aitinkerers.org/technologies/gpt-3.md)) — 191 public demos
- [GPT-4](https://aitinkerers.org/technologies/gpt-4) ([Markdown](https://aitinkerers.org/technologies/gpt-4.md)) — 529 public demos
- [GPU](https://aitinkerers.org/technologies/gpu) ([Markdown](https://aitinkerers.org/technologies/gpu.md)) — 12 public demos
- [Llama-2](https://aitinkerers.org/technologies/llama-2) ([Markdown](https://aitinkerers.org/technologies/llama-2.md)) — 227 public demos
- [MLOps](https://aitinkerers.org/technologies/mlops) ([Markdown](https://aitinkerers.org/technologies/mlops.md)) — 5 public demos
- [Neural networks](https://aitinkerers.org/technologies/neural-networks) ([Markdown](https://aitinkerers.org/technologies/neural-networks.md)) — 7 public demos
- [PaLM 2](https://aitinkerers.org/technologies/palm-2) ([Markdown](https://aitinkerers.org/technologies/palm-2.md)) — 116 public demos
- [Quasara](https://aitinkerers.org/technologies/quasara) ([Markdown](https://aitinkerers.org/technologies/quasara.md)) — 1 public demo
- [RAG](https://aitinkerers.org/technologies/rag) ([Markdown](https://aitinkerers.org/technologies/rag.md)) — 147 public demos
- [RoBERTa](https://aitinkerers.org/technologies/roberta) ([Markdown](https://aitinkerers.org/technologies/roberta.md)) — 118 public demos
- [Spot Instances](https://aitinkerers.org/technologies/spot-instances) ([Markdown](https://aitinkerers.org/technologies/spot-instances.md)) — 1 public demo
- [Vector embeddings](https://aitinkerers.org/technologies/vector-embeddings) ([Markdown](https://aitinkerers.org/technologies/vector-embeddings.md)) — 4 public demos
