In addition to on-chip cache coherency, Prodigy also supports hardware coherency between Prodigy devices that enables both 2-socket and 4-socket platforms to be fully coherent.
The vector and matrix subsystems support a wide range of data types, including FP64, FP32, TF32, BF16, Int8, FP8, as well as TAI, or Tachyum AI, a new data type that will be announced later this year and will deliver higher performance than FP8.
Now that's just one chip and Tachyum will allow full hardware coherency that supports 2 and 4-socket systems.The Prodigy Platform will come in various rack solutions such as an air-cooled 2U server that will be able to house up to four Tachyum Prodigy chips, 64 16 GB DDR5 DIMMs, and 2x200 GbE RoCE NICs.The company claims up to a 4x SPECrate 2017 Integer and 30x Raw Floating Point performance (FP64) increase versus the competition.
The company claims up to a 4x SPECrate 2017 Integer and 30x Raw Floating Point performance (FP64) increase versus the competition.
The company uses an Air-cooled Prodigy rack which is estimated to deliver up to 6.2 PetaFlops of HPC FP64 horsepower versus an NVIDIA H100 DGX POD rack which offers 960 TFLOPs of FP64 HPC performance
The next-gen upgrade to Prodigy, known as Prodigy 2 is also listed in Tachyum's roadmap and will be offering a new 3nm architecture with even more cores, higher memory bandwidth, PCIe 6.0 + CXL support, and enhanced connectivity