Netflix using AMD EPYC Rome CPUs: pumps away at 400Gbps of bandwidth

Netflix video service hardware includes AMD EPYC Rome CPUs, 18 x WD SN720 NVMe SSDs, offering a huge 400Gbps+ of bandwidth.

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Netflix has announced that it is using AMD EPYC "Rome" CPUs inside of its new data servers, beating out Intel and Ampere-based servers.

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The current Netflix servers have up to 200Gbps of bandwidth, but the new servers are doubling this up to 400Gbps of bandwidth for the future of its content streaming. Inside, Netflix is tapping AMD EPYC 7502P (Rome) CPUs with 32 cores and 64 threads and a base CPU clock of 2.5GHz, and boost clock of up to 3.35GHz.

AMD's EPYC 7502P "Rome" CPU has 128MB of L3 cache, a 180W TDP, and arrives in a 1P (single-socket) configuration. Where AMD does things better than Intel here in the server game, is that AMD has PCIe 4.0 technology with 128 PCIe 4.0 lanes on offer with up to 250GB/sec of I/O bandwidth and up to 2TB/sec in networking units.

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The streaming giant is using all of that PCIe 4.0 bandwidth and CPU corers for major bandwidth, connecting the new EPYC-based server with dual Mellanox ConnectX-6 Dx switches with 2 full-speed 100GbE ports that offer 400Gbps bandwidth total.

This is fed through storage that will include 18 x WD SN720 NVMe M.2 SSDs with 2TB capacities per SSD (PCIe 3.0 x4) with 36TB capacity per server node.

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The company has plans to upgrade the servers already, with plans for an 800Gbps server in the near future and the first prototype dropping later this year. For now, these are some impressive new servers for Netflix for blasting us content across the world.

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Anthony joined the TweakTown team in 2010 and has since reviewed 100s of graphics cards. Anthony is a long time PC enthusiast with a passion of hate for games built around consoles. FPS gaming since the pre-Quake days, where you were insulted if you used a mouse to aim, he has been addicted to gaming and hardware ever since. Working in IT retail for 10 years gave him great experience with custom-built PCs. His addiction to GPU tech is unwavering and has recently taken a keen interest in artificial intelligence (AI) hardware.

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