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wormholes are really flexible and have the ability to make the noc very powerful. with a lot of packet processing in the noc, 10-100 gb/s of throughput and high bandwidth on the io, the noc can perform a wide range of functions.wormhole also has a general compute co-processor. this is used to provide a large processing power to the die. all the different workloads are spread out across the die. this allows for different components to be dedicated to one workload.tenstorrent’s wormhole architecture is flexible and allows for a lot of different ai workloads. the noc provides multiple functions and allows for a lot of flexibility. it also provides many ios that allow for much easier development. the io block can support a wide range of memory types and speeds. the io block is much more capable than a gpu. the io block is also much more capable than a fpga. this makes it easier to develop ai chips with a much wider range of functionality.wormholes have the ability to be a powerful ai system. they can be customized to be a huge number of different chips. they can be different chips for different workloads. they can also be used for general compute. they can also be used to inter-chip communications. this makes them much easier to use.the core data size is 100gb. this is no small number. the mini tensor graph is designed to minimize communication and compute. most modern languages and frameworks support automatic graph layout. without extreme optimization, a single core can easily break the limit. wormhole also supports the ability to skip zeroes and thus can be easily distributed across multiple servers. wormhole does not have to pick one. it can pick the optimal tensor layout across all servers and can do so in an application independent way.
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