{"id":18826,"date":"2026-09-16T20:12:53","date_gmt":"2026-09-16T13:12:53","guid":{"rendered":"https:\/\/droneth.or.th\/product\/supermicro-dp-intel-workstation-with-up-to-4-nvidia-h100-or-a100-pcie-gpus-sys-741ge-tnrt\/"},"modified":"2026-09-16T20:12:53","modified_gmt":"2026-09-16T13:12:53","slug":"supermicro-dp-intel-workstation-with-up-to-4-nvidia-h100-or-a100-pcie-gpus-sys-741ge-tnrt","status":"publish","type":"product","link":"https:\/\/droneth.or.th\/zh\/product\/supermicro-dp-intel-workstation-with-up-to-4-nvidia-h100-or-a100-pcie-gpus-sys-741ge-tnrt\/","title":{"rendered":"Supermicro DP Intel Workstation with up to 4 NVIDIA H100 or A100 PCIe GPUs (SYS-741GE-TNRT)"},"content":{"rendered":"<p><strong>Supermicro DP Intel Workstation with up to 4 NVIDIA H100 or A100 PCIe GPUs (SYS-741GE-TNRT)<\/strong> \u0e40\u0e1b\u0e47\u0e19 \u0e23\u0e30\u0e1a\u0e1a AI \u0e23\u0e30\u0e14\u0e31\u0e1a Data Center \u0e08\u0e32\u0e01 <strong>Supermicro<\/strong> \u0e40\u0e2b\u0e21\u0e32\u0e30\u0e2a\u0e33\u0e2b\u0e23\u0e31\u0e1a\u0e07\u0e32\u0e19 large-model training, HPC, AI factory, data-center inference \u0e23\u0e2d\u0e07\u0e23\u0e31\u0e1a\u0e01\u0e32\u0e23\u0e43\u0e0a\u0e49\u0e07\u0e32\u0e19\u0e23\u0e30\u0e14\u0e31\u0e1a\u0e2d\u0e07\u0e04\u0e4c\u0e01\u0e23 \u0e28\u0e39\u0e19\u0e22\u0e4c\u0e02\u0e49\u0e2d\u0e21\u0e39\u0e25 \u0e41\u0e25\u0e30\u0e07\u0e32\u0e19\u0e27\u0e34\u0e08\u0e31\u0e22\u0e14\u0e49\u0e32\u0e19 AI\/HPC<\/p>\n<p><strong>\u0e01\u0e32\u0e23\u0e43\u0e0a\u0e49\u0e07\u0e32\u0e19\u0e17\u0e35\u0e48\u0e40\u0e2b\u0e21\u0e32\u0e30\u0e2a\u0e21<\/strong><\/p>\n<ul>\n<li>large-model training<\/li>\n<li>HPC<\/li>\n<li>AI factory<\/li>\n<li>data-center inference<\/li>\n<\/ul>\n<p><strong>\u0e02\u0e49\u0e2d\u0e21\u0e39\u0e25\u0e17\u0e32\u0e07\u0e40\u0e17\u0e04\u0e19\u0e34\u0e04 (Product Specifications)<\/strong><\/p>\n<table style=\"width:100%\">\n<thead>\n<tr>\n<td><strong>\u90e8\u5206<\/strong><\/td>\n<td><strong>\u0e23\u0e32\u0e22\u0e25\u0e30\u0e40\u0e2d\u0e35\u0e22\u0e14\u0e2a\u0e40\u0e1b\u0e04<\/strong><\/td>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td><strong>\u578b\u53f7<\/strong><\/td>\n<td>SYS-741GE-TNRT<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e1b\u0e23\u0e30\u0e40\u0e20\u0e17<\/strong><\/td>\n<td>Tower \/ Rackmount SuperWorkstation<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e40\u0e21\u0e19\u0e1a\u0e2d\u0e23\u0e4c\u0e14<\/strong><\/td>\n<td>Super X13DEG-QT<\/td>\n<\/tr>\n<tr>\n<td><strong>CPU<\/strong><\/td>\n<td>2 \u00d7 Intel Xeon Scalable Gen 4 \/ Gen 5<\/td>\n<\/tr>\n<tr>\n<td><strong>Socket<\/strong><\/td>\n<td>Dual Socket E (LGA4677)<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e08\u0e4d\u0e32\u0e19\u0e27\u0e19\u0e04\u0e2d\u0e23\u0e4c\u0e2a\u0e39\u0e07\u0e2a\u0e38\u0e14<\/strong><\/td>\n<td>\u0e2a\u0e39\u0e07\u0e2a\u0e38\u0e14 64 \u0e04\u0e2d\u0e23\u0e4c \/ 128 \u0e40\u0e18\u0e23\u0e14 \u0e15\u0e48\u0e2d CPU<\/td>\n<\/tr>\n<tr>\n<td><strong>Cache \u0e2a\u0e39\u0e07\u0e2a\u0e38\u0e14<\/strong><\/td>\n<td>\u0e2a\u0e39\u0e07\u0e2a\u0e38\u0e14 320MB \u0e15\u0e48\u0e2d CPU<\/td>\n<\/tr>\n<tr>\n<td><strong>Chipset<\/strong><\/td>\n<td>Intel C741<\/td>\n<\/tr>\n<tr>\n<td><strong>GPU \u0e2a\u0e39\u0e07\u0e2a\u0e38\u0e14<\/strong><\/td>\n<td>4 \u00d7 Double-width GPU<\/td>\n<\/tr>\n<tr>\n<td><strong>GPU \u0e17\u0e35\u0e48\u0e23\u0e2d\u0e07\u0e23\u0e31\u0e1a<\/strong><\/td>\n<td>NVIDIA H100, H100 NVL, A100, A30, L4, L40, L40S, RTX PRO 6000 Blackwell Max-Q, RTX 6000 Ada, RTX 4000 Ada, RTX A4000, RTX A5500, RTX A6000, AMD Instinct MI210<\/td>\n<\/tr>\n<tr>\n<td><strong>CPU-GPU Interconnect<\/strong><\/td>\n<td>PCIe 5.0 x16<\/td>\n<\/tr>\n<tr>\n<td><strong>GPU-GPU Interconnect<\/strong><\/td>\n<td>NVIDIA NVLink Bridge (Optional)<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e2b\u0e19\u0e48\u0e27\u0e22\u0e04\u0e27\u0e32\u0e21\u0e08\u0e4d\u0e32<\/strong><\/td>\n<td>16 \u00d7 DDR5 ECC RDIMM<\/td>\n<\/tr>\n<tr>\n<td><strong>RAM \u0e2a\u0e39\u0e07\u0e2a\u0e38\u0e14<\/strong><\/td>\n<td>2TB @5600MT\/s (1DPC) \u0e2b\u0e23\u0e37\u0e2d 4TB @4400MT\/s (2DPC)<\/td>\n<\/tr>\n<tr>\n<td><strong>Drive Bays<\/strong><\/td>\n<td>8 \u00d7 Hot-Swap 3.5\u2032\u2032 \u0e2b\u0e23\u0e37\u0e2d 2.5\u2032\u2032 NVMe \/ SAS \/ SATA<\/td>\n<\/tr>\n<tr>\n<td><strong>M.2<\/strong><\/td>\n<td>2 \u00d7 M.2 PCIe 5.0 NVMe<\/td>\n<\/tr>\n<tr>\n<td><strong>Expansion Slots<\/strong><\/td>\n<td>7 \u00d7 PCIe 5.0 x16 FHFL<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e40\u0e04\u0e23\u0e37\u0e2d\u0e02\u0e48\u0e32\u0e22<\/strong><\/td>\n<td>2 \u00d7 10GbE RJ45 (Intel X550-AT2)<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e1e\u0e2d\u0e23\u0e4c\u0e15\u0e1a\u0e23\u0e34\u0e2b\u0e32\u0e23\u0e08\u0e31\u0e14\u0e01\u0e32\u0e23<\/strong><\/td>\n<td>1 \u00d7 Dedicated BMC LAN<\/td>\n<\/tr>\n<tr>\n<td><strong>BMC<\/strong><\/td>\n<td>ASPEED AST2600<\/td>\n<\/tr>\n<tr>\n<td><strong>Management<\/strong><\/td>\n<td>IPMI 2.0, Redfish, KVM-over-LAN, SSM, SUM, SD5, SDO, TAS, SAA<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e1e\u0e2d\u0e23\u0e4c\u0e15\u0e41\u0e2a\u0e14\u0e07\u0e1c\u0e25<\/strong><\/td>\n<td>1 \u00d7 VGA<\/td>\n<\/tr>\n<tr>\n<td><strong>Audio<\/strong><\/td>\n<td>Front Audio<\/td>\n<\/tr>\n<tr>\n<td><strong>Serial<\/strong><\/td>\n<td>1 \u00d7 COM<\/td>\n<\/tr>\n<tr>\n<td><strong>Cooling<\/strong><\/td>\n<td>4 \u00d7 Heavy Duty Hot-Swap Fans<\/td>\n<\/tr>\n<tr>\n<td><strong>Power Supply<\/strong><\/td>\n<td>2 \u00d7 2000W Redundant 80 PLUS Titanium<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e02\u0e19\u0e32\u0e14 (\u0e01\u0e27\u0e49\u0e32\u0e07 \u00d7 \u0e2a\u0e39\u0e07 \u00d7 \u0e25\u0e36\u0e01)<\/strong><\/td>\n<td>177 \u00d7 465.4 \u00d7 678.5 \u0e21\u0e21.<\/td>\n<\/tr>\n<tr>\n<td><strong>\u0e01\u0e32\u0e23\u0e43\u0e0a\u0e49\u0e07\u0e32\u0e19\u0e2b\u0e25\u0e31\u0e01<\/strong><\/td>\n<td>HPC, AI Training, Deep Learning, VDI, CAD\/CAE, 3D Rendering, Cloud Gaming<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>Supermicro DP Intel Workstation with up to 4 NVIDIA H100 or A100 PCIe GPUs (SYS-741GE-TNRT)<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>\u0e40\u0e27\u0e34\u0e23\u0e4c\u0e01\u0e2a\u0e40\u0e15\u0e0a\u0e31\u0e19\u0e41\u0e1a\u0e1a Tower \/ Rackmount<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>Intel Xeon Scalable Gen 4 \/ Gen 5 \u0e08\u0e4d\u0e32\u0e19\u0e27\u0e19 2 CPU<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>\u0e23\u0e2d\u0e07\u0e23\u0e31\u0e1a\u0e2a\u0e39\u0e07\u0e2a\u0e38\u0e14 64 \u0e04\u0e2d\u0e23\u0e4c\u0e15\u0e48\u0e2d CPU<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>RAM DDR5 ECC \u0e2a\u0e39\u0e07\u0e2a\u0e38\u0e14 4TB<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>\u0e23\u0e2d\u0e07\u0e23\u0e31\u0e1a GPU \u0e2a\u0e39\u0e07\u0e2a\u0e38\u0e14 4 \u00d7 Double-width<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>8 \u00d7 Hot-Swap NVMe \/ SAS \/ SATA<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>2 \u00d7 M.2 PCIe 5.0 NVMe<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>7 \u00d7 PCIe 5.0 x16<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>\u0e23\u0e30\u0e1a\u0e1a\u0e43\u0e0a\u0e49\u0e40\u0e21\u0e19\u0e1a\u0e2d\u0e23\u0e4c\u0e14 Super X13DEG-QT \u0e1e\u0e23\u0e49\u0e2d\u0e21\u0e0a\u0e34\u0e1b\u0e40\u0e0b\u0e47\u0e15 Intel C741 \u0e23\u0e2d\u0e07\u0e23\u0e31\u0e1a\u0e2b\u0e19\u0e48\u0e27\u0e22\u0e04\u0e27\u0e32\u0e21\u0e08\u0e4d\u0e32 DDR5 ECC RDIMM \u0e08\u0e4d\u0e32\u0e19\u0e27\u0e19 16 DIMM Slots \u0e42\u0e14\u0e22\u0e23\u0e2d\u0e07\u0e23\u0e31\u0e1a\u0e04\u0e27\u0e32\u0e21\u0e08\u0e38\u0e2a\u0e39\u0e07\u0e2a\u0e38\u0e14 2TB \u0e17\u0e35\u0e48\u0e04\u0e27\u0e32\u0e21\u0e40\u0e23\u0e47\u0e27 5600MT\/s (1DPC) \u0e2b\u0e23\u0e37\u0e2d\u0e2a\u0e39\u0e07\u0e2a\u0e38\u0e14 4TB \u0e17\u0e35\u0e48\u0e04\u0e27\u0e32\u0e21\u0e40\u0e23\u0e47\u0e27 4400MT\/s (2DPC) \u0e17\u0e4d\u0e32\u0e43\u0e2b\u0e49\u0e40\u0e2b\u0e21\u0e32\u0e30\u0e2a\u0e4d\u0e32\u0e2b\u0e23\u0e31\u0e1a\u0e07\u0e32\u0e19 AI Model Training, Data Analytics \u0e41\u0e25\u0e30\u0e07\u0e32\u0e19 Simulation \u0e17\u0e35\u0e48\u0e15\u0e49\u0e2d\u0e07\u0e43\u0e0a\u0e49\u0e2b\u0e19\u0e48\u0e27\u0e22\u0e04\u0e27\u0e32\u0e21\u0e08\u0e4d\u0e32\u0e02\u0e19\u0e32\u0e14\u0e43\u0e2b\u0e0d\u0e48<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>\u0e14\u0e49\u0e32\u0e19\u0e01\u0e23\u0e32\u0e1f\u0e34\u0e01 \u0e23\u0e30\u0e1a\u0e1a\u0e23\u0e2d\u0e07\u0e23\u0e31\u0e1a\u0e01\u0e32\u0e23\u0e15\u0e34\u0e14\u0e15\u0e31\u0e49\u0e07 GPU \u0e41\u0e1a\u0e1a Double-width \u0e2a\u0e39\u0e07\u0e2a\u0e38\u0e14 4 \u0e15\u0e31\u0e27 \u0e1c\u0e48\u0e32\u0e19\u0e2a\u0e25\u0e47\u0e2d\u0e15 PCIe 5.0 x16 \u0e41\u0e25\u0e30\u0e23\u0e2d\u0e07\u0e23\u0e31\u0e1a\u0e01\u0e32\u0e23\u0e4c\u0e14 NVIDIA \u0e44\u0e14\u0e49\u0e41\u0e01\u0e48 H100, H100 NVL, A100, A30, L4, L40, L40S, RTX PRO 6000 Blackwell Max-Q Workstation Edition, RTX 6000 Ada Generation, RTX 4000 Ada Generation, RTX A4000, RTX A5500 \u0e41\u0e25\u0e30 RTX A6000 \u0e23\u0e27\u0e21\u0e16\u0e36\u0e07 AMD Instinct MI210 \u0e01\u0e32\u0e23\u0e40\u0e0a\u0e37\u0e48\u0e2d\u0e21\u0e15\u0e48\u0e2d\u0e23\u0e30\u0e2b\u0e27\u0e48\u0e32\u0e07 CPU \u0e41\u0e25\u0e30 GPU \u0e43\u0e0a\u0e49\u0e21\u0e32\u0e15\u0e23\u0e10\u0e32\u0e19 PCIe 5.0 x16 \u0e41\u0e25\u0e30\u0e23\u0e2d\u0e07\u0e23\u0e31\u0e1a NVIDIA NVLink Bridge (\u0e2d\u0e38\u0e1b\u0e01\u0e23\u0e13\u0e4c\u0e40\u0e2a\u0e23\u0e34\u0e21) \u0e2a\u0e4d\u0e32\u0e2b\u0e23\u0e31\u0e1a\u0e40\u0e1e\u0e34\u0e48\u0e21\u0e1b\u0e23\u0e30\u0e2a\u0e34\u0e17\u0e18\u0e34\u0e20\u0e32\u0e1e\u0e01\u0e32\u0e23\u0e2a\u0e37\u0e48\u0e2d\u0e2a\u0e32\u0e23\u0e23\u0e30\u0e2b\u0e27\u0e48\u0e32\u0e07 GPU \u0e43\u0e19\u0e07\u0e32\u0e19 AI \u0e41\u0e25\u0e30 HPC<\/td>\n<\/tr>\n<tr>\n<td><strong>Technical detail<\/strong><\/td>\n<td>Supermicro SYS-741GE-TNRT \u0e40\u0e1b\u0e47\u0e19\u0e40\u0e27\u0e34\u0e23\u0e4c\u0e01\u0e2a\u0e40\u0e15\u0e0a\u0e31\u0e19\u0e23\u0e30\u0e14\u0e31\u0e1a\u0e2d\u0e07\u0e04\u0e4c\u0e01\u0e23\u0e17\u0e35\u0e48\u0e23\u0e2d\u0e07\u0e23\u0e31\u0e1a Intel Xeon Scalable Generation \u0e17\u0e35\u0e48 4 \u0e41\u0e25\u0e30 5 \u0e08\u0e4d\u0e32\u0e19\u0e27\u0e19 2 \u0e15\u0e31\u0e27 \u0e1e\u0e23\u0e49\u0e2d\u0e21\u0e2b\u0e19\u0e48\u0e27\u0e22\u0e04\u0e27\u0e32\u0e21\u0e08\u0e4d\u0e32 DDR5 ECC \u0e2a\u0e39\u0e07\u0e2a\u0e38\u0e14 4TB \u0e23\u0e2d\u0e07\u0e23\u0e31\u0e1a GPU \u0e41\u0e1a\u0e1a PCIe \u0e2a\u0e39\u0e07\u0e2a\u0e38\u0e14 4 \u0e15\u0e31\u0e27 \u0e23\u0e27\u0e21\u0e16\u0e36\u0e07 NVIDIA H100, H100 NVL \u0e41\u0e25\u0e30 A100 \u0e21\u0e35\u0e1e\u0e37\u0e49\u0e19\u0e17\u0e35\u0e48\u0e08\u0e31\u0e14\u0e40\u0e01\u0e47\u0e1a\u0e02\u0e49\u0e2d\u0e21\u0e39\u0e25 8 Hot-Swap NVMe\/SAS\/SATA Bays , M.2 NVMe \u0e08\u0e4d\u0e32\u0e19\u0e27\u0e19 2 \u0e0a\u0e48\u0e2d\u0e07 , \u0e2a\u0e25\u0e47\u0e2d\u0e15 PCIe 5.0 x16 \u0e08\u0e4d\u0e32\u0e19\u0e27\u0e19 7 \u0e2a\u0e25\u0e47\u0e2d\u0e15 , \u0e23\u0e30\u0e1a\u0e1a\u0e40\u0e04\u0e23\u0e37\u0e2d\u0e02\u0e48\u0e32\u0e22 Dual 10GbE \u0e41\u0e25\u0e30\u0e0a\u0e38\u0e14\u0e08\u0e48\u0e32\u0e22\u0e44\u0e1f Redundant 2000W Titanium \u0e08\u0e36\u0e07\u0e40\u0e2b\u0e21\u0e32\u0e30\u0e2a\u0e4d\u0e32\u0e2b\u0e23\u0e31\u0e1a\u0e07\u0e32\u0e19 AI Training, HPC, Deep Learning, \u0e01\u0e32\u0e23\u0e40\u0e23\u0e19\u0e40\u0e14\u0e2d\u0e23\u0e4c\u0e20\u0e32\u0e1e \u0e41\u0e25\u0e30\u0e07\u0e32\u0e19\u0e27\u0e34\u0e28\u0e27\u0e01\u0e23\u0e23\u0e21\u0e17\u0e35\u0e48\u0e15\u0e49\u0e2d\u0e07\u0e01\u0e32\u0e23\u0e1b\u0e23\u0e30\u0e2a\u0e34\u0e17\u0e18\u0e34\u0e20\u0e32\u0e1e\u0e2a\u0e39\u0e07\u0e2a\u0e38\u0e14\u0e43\u0e19\u0e23\u0e30\u0e14\u0e31\u0e1a\u0e2d\u0e07\u0e04\u0e4c\u0e01\u0e23<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u0e2a\u0e19\u0e43\u0e08\u0e2a\u0e2d\u0e1a\u0e16\u0e32\u0e21\u0e23\u0e32\u0e04\u0e32 \u0e2a\u0e40\u0e1b\u0e04 \u0e2b\u0e23\u0e37\u0e2d\u0e02\u0e2d\u0e43\u0e1a\u0e40\u0e2a\u0e19\u0e2d\u0e23\u0e32\u0e04\u0e32 \u0e15\u0e34\u0e14\u0e15\u0e48\u0e2d\u0e44\u0e14\u0e49\u0e17\u0e35\u0e48 <strong>LINE: @metaxr<\/strong><\/p>","protected":false},"excerpt":{"rendered":"<p><strong>Supermicro DP Intel Workstation with up to 4 NVIDIA H100 or A100 PCIe GPUs (SYS-741GE-TNRT)<\/strong> \u0e40\u0e1b\u0e47\u0e19 \u0e23\u0e30\u0e1a\u0e1a AI \u0e23\u0e30\u0e14\u0e31\u0e1a Data Center \u0e08\u0e32\u0e01 <strong>Supermicro<\/strong> \u0e40\u0e2b\u0e21\u0e32\u0e30\u0e2a\u0e33\u0e2b\u0e23\u0e31\u0e1a\u0e07\u0e32\u0e19 large-model training, HPC, AI factory, data-center inference \u0e23\u0e2d\u0e07\u0e23\u0e31\u0e1a\u0e01\u0e32\u0e23\u0e43\u0e0a\u0e49\u0e07\u0e32\u0e19\u0e23\u0e30\u0e14\u0e31\u0e1a\u0e2d\u0e07\u0e04\u0e4c\u0e01\u0e23 \u0e28\u0e39\u0e19\u0e22\u0e4c\u0e02\u0e49\u0e2d\u0e21\u0e39\u0e25 \u0e41\u0e25\u0e30\u0e07\u0e32\u0e19\u0e27\u0e34\u0e08\u0e31\u0e22\u0e14\u0e49\u0e32\u0e19 AI\/HPC<\/p>\n<div style=\"width: 100%; text-align: center; padding: 24px 0;\"><a style=\"display: inline-block; background-color: #06c755; color: #ffffff; font-size: 16px; font-weight: bold; text-decoration: none; padding: 14px 32px; border-radius: 50px; box-shadow: 0 4px 12px rgba(6,199,85,0.4); white-space: nowrap;\" href=\"https:\/\/page.line.me\/682mqqmh?openQrModal=true\" target=\"_blank\" rel=\"noopener\">\u0e2a\u0e2d\u0e1a\u0e16\u0e32\u0e21\u0e23\u0e32\u0e04\u0e32 \/ \u0e2a\u0e31\u0e48\u0e07\u0e0b\u0e37\u0e49\u0e2d LINE: @metaxr<\/a><\/div>","protected":false},"featured_media":18827,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center 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