Method and apparatus for artificial intelligence acceleration
First Claim
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1. An apparatus for artificial intelligence acceleration, comprising:
- a storage and compute system having a distributed, redundant key value store for metadata; and
the storage and compute system having distributed compute resources configurable to access, through a plurality of authorities, data in the solid-state memory, run inference with a deep learning model, generate vectors for the data and store the vectors in the key value store, the distributed compute resources configurable to store metadata for one or more buckets containing the data and create bucket views containing links to objects within the data that are contained in the one or more buckets and stored in the solid-state memory.
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Abstract
An apparatus for artificial intelligence acceleration is provided. The apparatus includes a storage and compute system having a distributed, redundant key value store for metadata. The storage and compute system having distributed compute resources configurable to access, through a plurality of authorities, data in the solid-state memory, run inference with a deep learning model, generate vectors for the data and store the vectors in the key value store.
249 Citations
19 Claims
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1. An apparatus for artificial intelligence acceleration, comprising:
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a storage and compute system having a distributed, redundant key value store for metadata; and the storage and compute system having distributed compute resources configurable to access, through a plurality of authorities, data in the solid-state memory, run inference with a deep learning model, generate vectors for the data and store the vectors in the key value store, the distributed compute resources configurable to store metadata for one or more buckets containing the data and create bucket views containing links to objects within the data that are contained in the one or more buckets and stored in the solid-state memory. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A method for artificial intelligence acceleration, performed by a storage and compute system, the method comprising:
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accessing data in the system through a plurality of authorities; performing inference with a deep learning model; generating vectors for the data based on the performing; storing the vectors in a key value store of the system; storing metadata for one or more buckets containing examples in the unstructured data; and generating bucket views containing links to the examples. - View Dependent Claims (9, 10, 11, 12, 13)
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14. A tangible, non-transitory, computer-readable media having instructions thereupon which, when executed by a processor, cause the processor to perform a method comprising:
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accessing data in the system through a plurality of authorities; performing inference with a deep learning model; generating vectors for the data based on the performing; storing the vectors in a key value store of the system; storing metadata for one or more buckets containing examples in the unstructured data; and generating bucket views containing links to the examples. - View Dependent Claims (15, 16, 17, 18, 19)
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Specification