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That’s over $30b in GPUs…

Yesterday we completed training of our first custom model that will soon be hosted on inference net! We have another model training in progress, set to finish at the end of this week. These models set the stage for a new chapter of Inference, where we scale from billions

gpt5 is about to be crazy at coding holy shit

Damn MLX > CUDA 🔜 ?!?!

Buy more $NET trust me yall, Matthew is him $1T company within the next 10 years They’ll be as big / bigger than AWS/Azure/GCP (not combined, but they’ll be in that tier)

Blindly following your curiosity is deeply underrated, creating demos is how we excavate model capabilities, and you have a moral obligation to apply the unique context of your life to further the field of computing. here’s a brief talk I gave on those ideas:

wen bun 1.2.20 Jarred Sumner

It's really that simple

we invited 100 students to build instead of study here's what 17 y/os can build: Sasha Surkin built self correcting liquid glasses Jonathan Moon made a 6ft robot that checks farms for viruses peppe 6 axis 3D printer for aerospace components Alex browserbase that

The talented Francesco Virga has moved us from JaegerTracing over to SigNoz and its looking sweeeeeeeeet Telemetry is the name of the game with distributed systems, I can't wait to use this to make our entire pipeline faster Inference

Pokémon Go style a global effort to place these all over the planet

Not every LLM request needs an immediate response! We created the Inference Batch API for trillion-scale processing of text, image, and video data using LLMs. Learn more about how to process massive workloads at minimum cost inference.net/blog/batch-vs-…

If you make 100 phone calls per day everyday for 20 years you’ll be a billionaire.

At 17: Building alone. No resources. No community. Just trial and error. At 41: Just wrapped up hosting 100+ college founders for 6 weeks building real startups. This Friday: A world's fair showcasing what they built. Live demos. Real products. The community I needed at 17.