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The main thing AMD has in their accelerators that enables this this is unified memory between CPU and GPU. Thats really interesting.
by Certhas 4y ago
The main thing AMD has in their accelerators that enables this this is unified memory between CPU and GPU. Thats really interesting.
- tankenmate 4y agoDon't forget that AMD also bought Xilinx
- WithinReason 4y agoHow do you expect FPGAs to be useful here?
- zekica 4y ago@WithinReason I expect them to use Xilinix's AI engines primarily in their CPUs, APUs and GPUs - not so much FPGA.
- dragontamer 4y agoI expect Xilinx's AI engines to never be integrated into anything AMD. Because Xilinx AI engines are VLIW - SIMD machines running their own instruction set. ---------- AMD is doing the right thing with Xilinx tech: they're integrating it into ROCm, so that Xilinx AI engines / FPGAs can interact with CPUs and GPUs. But there's no reason why these "internal core bits" should be shared between CPU, GPU, and FPGA.
- shaunsingh0207 4y agoThis has been something I've been incredibly pleased with on the apple silicon SOC's. Albeit slowly, being able to load large datasets or blender scenes on a portable, efficient laptop and still being able to use the GPU is a nice touch. Of course performance wise it doesn't touch the $1k+ graphics cards with crazy amounts of ram, but for students and if I need to do something quick on the go, its a really useful tool.