Yes, but the smallest block is 25 cm. So if we add such small reactor, gyro, thrusters, then you can have a small drone that has let’s say less than a meter.
AI HARDWARE
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VRAGE3 25cm Unified Grid System: The Future
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VRAGE3: 25cm Unified Grid System This is the future
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Turbo LoRA Enhancement: 2x Throughput Boost Without Retraining
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Meta FAIR Announces New Robotics and Touch Perception Developments
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Today at Meta FAIR we’re announcing three new cutting-edge developments in robotics and touch perception — and releasing a collection of artifacts to empower the community to build on this work.
— AI at Meta (@AIatMeta) 31 octobre 2024
Details on all of this new work ➡️ https://t.co/kpyQ77bnAH
1️⃣ Meta Sparsh is the… pic.twitter.com/FoLSjGDyu0Today at Meta FAIR we’re announcing three new cutting-edge developments in robotics and touch perception — and releasing a collection of artifacts to empower the community to build on this work. Details on all of this new work https://
go.fb.me/mmmu9d Meta Sparsh is the -
Microsoft Struggles to Secure Sufficient Power for AI Ambitions
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Microsoft apparently cannot get enough power for AI Twilio’s peek into 2025 gives reason to hope for double-digit revenue growth, Meta’s spending is once again a cause for concern, and Microsoft is having a hard time getting enough power to fuel its AI ambitions. $MSFT $TWLO
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VRAM Requirements for AI Models Across Hardware Architectures
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It should work on CPU/ CUDA/ MPS across backends, w.r.t hardware requirements: 1B should take roughly 2GB VRAM to load in fp16/ bf16.
600M should take 1.2 GB VRAM
350M – ~700MB VRAM
125 – ~250MB VRAM Ofcourse at lower quants Q4/ Q8 you reduce this even further. -
Building Large-Scale Clusters to Train and Release Llama
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its super fun to build very very large clusters, train llama on them, and release it for y'all to enjoy — and talk in great detail about how we did it!
It's also really fun to partner with @Ahmad_Al_Dahle in creating this disruptive chaos Join us, there's lots of work to do! -
Microsoft Prioritizes Inference Over GPU Training Services
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interesting Satya here: 'We are not actually selling raw GPUs for other people to train. That's business we turn away, because we have so much demand on inference.'
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Custom Silicon Development Accelerates with Reduced Costs
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“We’re going to bring down the time-to-market for new custom silicon, and the cost,” @DavidBennett__ in @the_logic Read more here –>
