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ML researcher seeks affordable TPU access for transformer workload mapping tool

By PulseAugur Editorial · [1 sources] ·

A machine learning researcher is seeking access to Google's Tensor Processing Units (TPUs) for a project involving an analytical mapping tool for transformer workloads. The researcher has developed a mapper that reportedly outperforms existing software stacks on various workloads and wishes to demonstrate its superiority against Google's mature software on TPUs. Despite applying for the TPU Research Cloud program a month ago, they have not yet received a response and are looking for affordable access options, needing approximately 10 hours of TPU usage. AI

IMPACT Potential for improved transformer workload mapping on specialized hardware.

RANK_REASON User seeking access to hardware for a project, not a new release or significant industry event.

Read on r/MachineLearning →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

ML researcher seeks affordable TPU access for transformer workload mapping tool

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User seeking access to hardware for a project, not a new release or significant industry event.
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COVERAGE [1]

  1. r/MachineLearning TIER_1 English(EN) · /u/Green_Rays ·

    Need access to TPUs for ML mapping project [R]

    <!-- SC_OFF --><div class="md"><p>I am working on a project where I am building a analytical mapping/compilation tool for transformer workloads into hardware platforms that have software managed scratchpads.</p> <p>I got hold of a few chips from some startups and bigger companies…

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