https://lnkd.in/gM_Cqqct – contact form for sharing current tool and requirements.
Those that are great at AI are going to win and that requires investing in the AI infrastructure!
CEO of Nvidia said "Countries need to own the production of National Intelligence. This requires AI infrastructure to be built first".
- Ability to manage data
Labellerr positions itself as a data engine for AI teams of any size, eager to tackle any AI or advanced data‑analytics challenge for government initiatives.
- Smart ways to refine and curate data for AI
- Enough computing power
I observed that Google has been all in on AI for over a decade now.
For the last 15 straight years they have led the papers accepted at NeurIPS.
Google now is working on the sixth generation of TPUs.
The sixth!!
Microsoft is only now starting to try to copy Google's TPUs.
The biggest issue for OpenAI and Microsoft is if Google stops sharing.
That is the ONLY reason we have even heard of OpenAI.
These observations highlight why I consider owning AI hardware and an open‑sharing model a strategic advantage; see also training data scarcity for the emerging data bottleneck.
Just like Docker revolutionized software development by making it easier to ship code reliably and faster from machine A to machine B, we at Labellerr are solving a similar challenge—but for AI.
The AI market was valued at USD 150+ billion in 2023 and is projected to grow at a CAGR > 20.5 % from 2024 to 2032.
Over 90 % of data is unstructured (images, videos, text, audio), driving demand for robust data‑pipeline and GPU‑accelerated preprocessing.
I plan to adopt Labellerr to complement Vertex AI, automating pipeline orchestration, GPU‑powered annotation, and continuous data‑refinement loops.
I observed that a newly announced billion‑dollar funding round looks tiny compared to the real lever for impact: AI infrastructure.
- Funding amount referenced: a billion dollar funding.
Now a billion dollar funding looks tiny but more importantly its the AI infrastructure which is the key!
- Core insight: AI infrastructure is the key driver, not the sheer size of the funding.