https://awsdocs-neuron.readthedocs-hosted.com/en/latest/abou...
https://awsdocs-neuron.readthedocs-hosted.com/en/latest/nki/...
Eight NeuronCore-v4 cores that collectively deliver:
2,517 MXFP8/MXFP4 TFLOPS
671 BF16/FP16/TF32 TFLOPS
2,517 FP16/BF16/TF32 sparse TFLOPS
183 FP32 TFLOPS
HBM: 144 GiB HBM @ 4.9 TB/sec (4 stacks)SRAM: 32 MiB * 8 = 256 MiB (ignoring 2 MiB * 8 = 16 MiB of PSUM which is not really general-purpose nor DMA-able)
Interconnect: 2560 GB/s (I think bidirectional, i.e. Jensen Math™)
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At 3nm process node the FLOP/s is _way_ lower than competition. Compare to B200 which does 2250 BF16, x2 FP8, x4 FP4. TPU7x does 2307 BF16, x2 FP8 (no native FP4). HBM also lags behind (vs ~192 GiB in 6 stacks for both TPU7x and B200).
The main redeeming qualities seem to be: software-managed SRAM size (double of TPU7x; GPUs have L2 so not directly comparable) and on-paper raw interconnect BW (double of TPU7x and more than B200).
Same logic when NVidia quote the "bidirectional bandwidth" of high speed interconnects to make the numbers look big, instead of the more common BW per direction, forcing everyone else to adopt the same metric in marketing materials.
https://findingrange.com/2022/01/14/7artisans-photoelectric-...
I had a long streak where I packed a DSLR with a 50mm everywhere I went and never took any pictures with it because I felt depressed. Switching to zoom lenses (particularly developing a protocol to get a distinct style of landscape protocols out of my kit lens) and getting into sports photography got me out of my funk, also that 7Artisan 50mm is so much more fun than any of the other 50's in my collection. Part of it is the challenge of manual focus, the other part is the extreme wide aperture which can take dreamy looking photos that are entirely different from what people have seen before.
I'd categorize this as more of a portrait lens (than "normal" as the 50mm moniker implies).
Many Lidar visualization software will happily pseudocolor the intensity channel for you. Even with a mechanically scanning 64-line Lidar you can often read a typical US speed limit sign at ~50 meter in this view.
I vaguely remember (from 10+ years ago) that class selectors are much more performant than property selectors?
Yes, Tesla has one of the best user interfaces in a car, and has set the bar high. But just because they have OTA updates it's now called a "Software Defined Vehicle"?
See Rivian's intro on their ECU design and Zonal architecture: https://youtu.be/6ZBko4TvfJY?t=137&si=-SKL_iFqZFnHE8nQ
This might sound like purely implementation detail, but having the (non-safety-critical) "business logic" of a car as software gives the manufacturer flexibility to late-bind behavior as new use cases / demands inevitably get discovered.
Something can simultaneously be a good idea, buzzword'd by marketing, and/or deviate from the original intentions.