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Need to cut LLM training checkpoint costs?
Training LLMs requires periodic checkpoints, full snapshots of model weights, optimizer states, and gradients saved to storage so training can resume after interruptions. At scale, these checkpoints become massive. NVIDIA nvCOMP is a GPU-accelerated lossless compression library that compresses the checkpoint before it leaves GPU memory, no roundtrip – no extra data movement.
Developers can easily integrate high-throughput compression directly into their Python workflows (such as PyTorch or TensorFlow).
🔗 Read the full post:
developer.nvidia.com/blog/cut-check…
#PyTorch #OpenSourceAI #AI #Inference #Innovation
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Bitstarter @bitstarterAI is building something Bittensor has needed for a long time: the ecosystem’s first crowdfunding & incubation platform for new subnets.
It’s become a one-stop shop to take teams from idea to launch, backed by one of the strongest advisor networks in the ecosystem.
Teams apply, the best are selected, refined with advisors, and when ready, go live through an open crowdfunding process where anyone can pledge TAO for future subnet tokens. That moment kicks off with a live stream featuring the subnet founder and Bitstarter’s founder @macrozack, with the community pledging TAO in real time.
What makes Bitstarter stand out is everything around that moment, communications, ecosystem access, investor relations, incentive design... the full stack needed to turn a subnet from something buried in the trenches into something with real momentum.
If you are building a subnet, you should be looking at Bitstarter.
Our partnership will centre around this year’s Proof of Pitch, where the Bittensor Track will host the first ever in-person live crowdfunding event in the ecosystem.
More on this very soon.
This summer Bitstarter joins us at the Louvre.
Gold Sponsor of the Bittensor Track at Proof of Talk.
Use code TAO for 30% off tickets 👇

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