Digikey now stocks Adafruit, Sparkfun and other "hobbyist" items, as does
Micro Center
Bill Degnan (vintagecomputer.net):
One thing to add, the Raspberry Pi zero is very reliable,
more so than the bare CHIP in a GUI mode (startx).
But the CHIP can't be beat as the simh brain
for a vintage serial terminal because it has built-in wifi.
They just use more power.
I have a few pages about using the RPi and CHIP with simH 664 663 591
Pi In The Sky: Raspberry Pi for high altitude ballooning
The Astro Pi is specifically for the ISS (International Space Station)
with the multi-function daughterboard Sense HAT
Amazon EC2 F1 is a compute instance with field programmable gate arrays (FPGAs) that you can program to create custom hardware accelerations for your application. F1 instances are easy to program and come with everything you need to develop, simulate, debug, and compile your hardware acceleration code, including an FPGA Developer AMI and Hardware Developer Kit (HDK). Once your FPGA design is complete, you can register it as an Amazon FPGA Image (AFI), and deploy it to your F1 instance in just a few clicks. You can reuse your AFIs as many times, and across as many F1 instances as you like.
Amazon EC2 F1 instances offered in two different instance sizes that include up to eight FPGAs per instance. F1 instances include 16 nm Xilinx UltraScale Plus FPGA. Each FPGA includes local 64 GiB DDR4 ECC protected memory, with a dedicated PCIe x16 connection. Each FPGA contains approximately 2.5 million logic elements and approximately 6,800 Digital Signal Processing (DSP) engines. Just like other Amazon EC2 On Demand Instances, you only pay for what you use. There is no long-term commitments or upfront payments required. There is no charge for the FPGA Developer AMI or HDK, and you can program the FPGA on your F1 instance as many times as you like with no additional fees.
| UPDATE: the nvidia Jetson AI supercomputer on a module | ||
|---|---|---|
| Jetson TX2 | Jetson TX1 | |
| GPU | NVIDIA Pascal, 256 CUDA cores | NVIDIA Maxwell, 256 CUDA cores |
| CPU |
HMP Dual Denver 2/2 MB L2 + Quad ARM A57/2 MB L2 | Quad ARM A57/2 MB L2 |
| Video |
4K x 2K 60 Hz Encode (HEVC) 4K x 2K 60 Hz Decode (12-Bit Support) |
4K x 2K 30 Hz Encode (HEVC) 4K x 2K 60 Hz Decode (10-Bit Support) |
| Memory |
8 GB 128 bit LPDDR4 59.7 GB/s |
4 GB 64 bit LPDDR4 25.6 GB/s |