Pytorch To Atoms
Pytorch to AtomsWelcome to Pytorch To Atoms! In this space, I share my journey of diving into the world of AI computing, unraveling the layers Across the Stack From ML Frameworks all the way down to transistors
| Platform |  | Pricing | Only free issues | Publishes | Daily |
|---|---|---|---|---|---|
| Issues | 7 | Subscribers | Read | pytorchtoatoms.substack.com |
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Meta's 24k H100 Cluster Capex/TCO and BoM Analysis
Welcome to an in-depth analysis of Meta's 24k H100 Cluster Capex/TCO and BoM. In this comprehensive breakdown, we dive into the Bill of Materials (BoM) of Meta’s 24,576 H100 cluster. We examine the capital expenditure (Capex) broken down by...
GSPMD Style: Pipeline Parallelism For Distributed LLM Training
In this analysis, we look into parallelism strategy widely used in LLM training called Pipeline Parallelism. Furthermore, we look into different pipeline parallelism schedules to “maximize intelligence per TCO” by reducing worker idleness, ...
NVIDIA Quantum-X800: Next Generation Infiniband 800Gbit/s Network Topology
At GTC 2024, Jensen announced Infiniband Quantum-X800 which allows 800Gbit/s of bandwidth using 224G serdes. Boasting an impressive higher radix of 144 ports compared to 64 ports in last generation’s Quantum-2 switch. This article dive into...
NVIDIA ConnectX-7 1.6Tbit/s Cedar Fever Module vs ConnectX-7 PCIe form factor
Welcome to our latest analysis where we dive into NVIDIA's cutting-edge 1.6Tbit/s ConnectX-7 Cedar Fever module vs ConnectX-7 PCIe form factor. This blog will break down the Bill of Materials (BoM) cost and analyze the difference between wh...
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Deep Dive From the highest level of the stack, pytorch to the lowest, atoms
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