Alibaba cloud FPGA: the $200 Kintex UltraScale+
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Alibaba cloud FPGA: the $200 Kintex UltraScale+
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Re: Alibaba cloud FPGA: the $200 Kintex UltraScale+
#2Re: Alibaba cloud FPGA: the $200 Kintex UltraScale+
#3What's special about this?
Re: Alibaba cloud FPGA: the $200 Kintex UltraScale+
#4https://docs.amd.com/r/en-US/ug908-vivado-programming-debugg...
Re: Alibaba cloud FPGA: the $200 Kintex UltraScale+
#5Re: Alibaba cloud FPGA: the $200 Kintex UltraScale+
#6Reminds me of recycling used Mining- or LED-Controllers as they can be bought on Ali and have quite capable FPGAs.
Re: Alibaba cloud FPGA: the $200 Kintex UltraScale+
#7For what it's worth: if you have a FT2232H adapter hanging around (and if you don't, you should consider getting one), those adapters can easily be flashed to be compatible with Vivado: https://docs.amd.com/r/en-US/ug908-vivado-programming-debugg...
They are super useful - they speak GPIO, I2C, SPI, parallel FIFO, etc.
And their pyFTDI Python lib is great.
Re: Alibaba cloud FPGA: the $200 Kintex UltraScale+
#8For what it's worth: if you have a FT2232H adapter hanging around (and if you don't, you should consider getting one), those adapters can easily be flashed to be compatible with Vivado: https://docs.amd.com/r/en-US/ug908-vivado-programming-debugg...
At work we always have 20-30x FT2232H on stock. They are super useful - they speak GPIO, I2C, SPI, parallel FIFO, etc. And their pyFTDI Python lib is great.
Usually better to use the vendor supplied JTAG tools, or build your own with known good silicon. Recovering FPGA hardware is always a mixed bag of what IP and documentation is available to bring up the board. Looks like nice silicon though. =3
Re: Alibaba cloud FPGA: the $200 Kintex UltraScale+
#9Re: Alibaba cloud FPGA: the $200 Kintex UltraScale+
#10Basically they achieved massive improvements in throughput and latencies vs RocksDB, for some operations even an order of magnitude.
They even offered this as a service, but eventually pulled out. Not sure if they are still using it, but I was surprised that pretty much nobody else, as far as I am aware, is using any hardware acceleration for repetitive database workloads.