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e for expanded capacity (i.e. 60TB), similar to X1e which had expanded memory capacity. n for network-optimized just like C5n and P3dn


AWS Engineers looking at this, will update soon


Z1d, R5 and R5d are publicly available now

https://aws.amazon.com/blogs/aws/now-available-r5-r5d-and-z1...


The press release mentions Z1d.metal bare metal version coming soon, that would save the need to run hypervisor on hypervisor in the largest instance.


Did you consider C5/C5d ? they typically get to 3.5Ghz and have smaller DRAM/vCPU ratio


C4 spot instances work for me at the moment. The price increase for C5 wasn't worth it as I was only seeing a 5-10% performance increase. I need to re-benchmark though.


The price increase for C5 wasn't worth

I don't know about spot pricing, but on demand pricing for c5's is about 15% less than the c4's.

If you look at c5d's with ephemeral storage they are still a bit cheaper than c4's.


Refer to jeffbarr's answer: Great question! I checked in with the team and this is what they told me: "The developer FPGA code is enclaved inside AWS FPGA Shell, to prevent malicious FPGA code from damaging the hardware and to provide the necessary protection for PCI Express and the host machine. The pin assignment of the FPGA is controlled by AWS." And "AWS infrastructure monitors the thermals as well and the F1 hardware was designed to sustain high power consumption to enable developers to utilize the maximal available FPGA resources and frequency."


The FPGA pins are connected to the host CPU via PCIe Gen3, 4 local DDR4 channels for each FPGA, and if you are using the f1.16xlarge, there are pins connecting between the FPGA.

Both f1.2xlarge and f1.16xlarge have NVMe SSD, attached as PCIe device to the host, and not connected directly to the FPGA. One could consider using standard linux NVMe drivers or SPDK user space drivers for high throughput and low latency data movement between the NVMe SSD and the FPGA


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