Andrew Hinh @ajhinh
Full-Stack ML Engineer | CS Undergraduate ajhinh.com San Francisco Joined June 2022-
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insane to me that 800 is divisible by 32, it just doesn't feel right
release the files
What does @modal do? How does it work? What's different about AI infra? Why did we throw out Kubernetes and Docker built our own infra stack from scratch? @AmplifyPartners wrote this article about a lot of the gory details under the hood of Modal – link in 🧵
At @modal we've built every layer of the AI infra stack from scratch — from filesystems and networking to our own async queues and multi-cloud GPU orchestration. I sat down with @narayanarjun from @AmplifyPartners to go into depth on all of this, including the fun ways the…
New tutorial on Fine-tuning Whisper 🎙️ Open-source ASR models are having a ~moment~ You can fine-tune them to achieve higher accuracy on things like domain-specific vocab.
Proud to announce that @modal_labs was a Day 0 Lunch Partner for the release of gpt-oss. That is, on Day 0 I got lunch with @mgoin_ of @vllm_project and then had him look at my and @shariqmobin's code to deploy the model on Modal.
Proud to announce that @modal_labs was a Day 0 Lunch Partner for the release of gpt-oss. That is, on Day 0 I got lunch with @mgoin_ of @vllm_project and then had him look at my and @shariqmobin's code to deploy the model on Modal. https://t.co/BCLmrRfq7v
the mandate of heaven is fully lost and cannot be regained
a woman at the checkout counter told me she liked my hair because it was "a great use of my free will" little does she know that i am actually obligated to maintain this style so that people will recognize me from the Internet
The Trump administration has suspended the funding of Terence Tao and the Institute for Pure and Applied Mathematics at UCLA.
For whatever reason, @modal_labs always gets compared to "inference providers", which always confuses me? Modal was always built to be a general-purpose platform for AI/ML/data. Yes – we do inference really well! But we also do batch processing, sandboxes, training, ...
My new job is to get everyone else to see what I see in Modal: the future of data-driven computing powered by open generative models trained at the scale of the web and adapted to end-user needs by code, customization, and continual improvement. LFG. modal.com
a cold start hates to see Modal coming 😫
You can now cold-start vLLM in 5s on @modal_labs. GPU snapshotting is a primitive that unlocks a whole world of possibilities we're only beginning to unlock. If you're interested in working on the frontiers of what's possible with AI infra, please reach out :)
You can now cold-start vLLM in 5s on @modal_labs. GPU snapshotting is a primitive that unlocks a whole world of possibilities we're only beginning to unlock. If you're interested in working on the frontiers of what's possible with AI infra, please reach out :)
I’m soo psyched to announce this one. We have raised again! Raised the bar for AI inference. By snapshotting GPU memory, we can cold start containers running vLLM or many other things extremely fast. This will be a game changer for many customers.
I’m soo psyched to announce this one. We have raised again! Raised the bar for AI inference. By snapshotting GPU memory, we can cold start containers running vLLM or many other things extremely fast. This will be a game changer for many customers.
We just launched GPU memory snapshotting on @modal_labs in alpha. Speed up cold boots by up to 12x 😇 If you're deploying AI models, a huge amount of cold boot time comes from loading model weights into GPU memory. This makes it difficult to scale GPU resources up and down…

emily han @emilyhanyf
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Alec Powell @alecpow
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Horace He @cHHillee
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thebes @voooooogel
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hazyresearch @HazyResearch
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htmx.org / CEO of ifr... @htmx_org
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mobicham @mobicham
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