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The DGX Spark with 128 gigabytes of unified memory is actually not that powerful of a machine.
The DGX Spark with 128 gigabytes of unified memory is actually not that powerful of a machine.
While that sounds like massive capacity, pushing the limits of open source models requires more. Testing how these current models perform locally is just the start of the journey.
To eventually run Opus 4.6 level models locally, a major hardware leap is necessary. That means securing a 512 gigabyte machine as soon as the MGX studios become available.
Follow along to see what happens when the 512 gigabyte machine arrives.
#vibecoding #agenticcoding #aicoding #opensource #machinelearning
Видео The DGX Spark with 128 gigabytes of unified memory is actually not that powerful of a machine. канала BridgeMind
While that sounds like massive capacity, pushing the limits of open source models requires more. Testing how these current models perform locally is just the start of the journey.
To eventually run Opus 4.6 level models locally, a major hardware leap is necessary. That means securing a 512 gigabyte machine as soon as the MGX studios become available.
Follow along to see what happens when the 512 gigabyte machine arrives.
#vibecoding #agenticcoding #aicoding #opensource #machinelearning
Видео The DGX Spark with 128 gigabytes of unified memory is actually not that powerful of a machine. канала BridgeMind
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11 апреля 2026 г. 17:18:19
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