{"id":10265,"date":"2025-08-28T08:36:28","date_gmt":"2025-08-28T08:36:28","guid":{"rendered":"https:\/\/arkanetwork.com\/en\/?p=10265"},"modified":"2026-02-08T11:22:20","modified_gmt":"2026-02-08T11:22:20","slug":"nvidia-gb300-nvl72","status":"publish","type":"post","link":"https:\/\/arkanetwork.com\/en\/nvidia-gb300-nvl72\/","title":{"rendered":"\u0628\u0631\u0631\u0633\u06cc GPU NVIDIA GB300 NVL72"},"content":{"rendered":"

\u0628\u0631\u0631\u0633\u06cc GB300-NVL72<\/strong> \u0646\u0634\u0627\u0646\u200c\u062f\u0647\u0646\u062f\u0647 \u06cc\u06a9 \u0627\u0646\u0642\u0644\u0627\u0628 \u062f\u0631 \u0632\u06cc\u0631\u0633\u0627\u062e\u062a\u200c\u0647\u0627\u06cc AI\u200c \u0648 \u0645\u062d\u0627\u0633\u0628\u0627\u062a \u0641\u0648\u0642\u200c\u067e\u06cc\u0634\u0631\u0641\u062a\u0647 \u0627\u0633\u062a. \u0627\u06cc\u0646 \u0633\u06cc\u0633\u062a\u0645 rack-scale \u0628\u0627 \u0637\u0631\u0627\u062d\u06cc \u06a9\u0627\u0645\u0644\u0627\u064b \u0645\u0627\u06cc\u0639\u200c\u062e\u0646\u06a9 \u0634\u0627\u0645\u0644 \u06f3\u06f6 \u067e\u0631\u062f\u0627\u0632\u0646\u062f\u0647 Grace<\/strong> \u0648 \u06f7\u06f2 GPU Blackwell Ultra<\/strong> \u06a9\u0647 \u06cc\u06a9 \u062f\u06cc\u0648\u0627\u0631 \u067e\u0631\u062f\u0627\u0632\u0634\u06cc \u0639\u0638\u06cc\u0645 \u0631\u0627 \u0634\u06a9\u0644 \u0645\u06cc\u200c\u062f\u0647\u0646\u062f. \u0634\u0628\u06a9\u0647 \u0627\u0631\u062a\u0628\u0627\u0637\u06cc NVLink \u0646\u0633\u0644 \u067e\u0646\u062c\u0645 \u0628\u0627 \u067e\u0647\u0646\u0627\u06cc\u200c\u0628\u0627\u0646\u062f \u06f1\u06f3\u06f0 TB\/s<\/strong>\u060c \u0627\u06cc\u0646 \u062f\u0633\u062a\u06af\u0627\u0647 \u0631\u0627 \u0628\u0647 \u06cc\u06a9 GPU \u0639\u0638\u06cc\u0645 \u0648\u0627\u062d\u062f \u062a\u0628\u062f\u06cc\u0644 \u06a9\u0631\u062f\u0647 \u0627\u0633\u062a.<\/p>\n

<\/h2>\n

\u0645\u0639\u0645\u0627\u0631\u06cc \u067e\u0631\u062f\u0627\u0632\u0634\u06cc \u0648 \u0634\u0628\u06a9\u0647 \u0633\u0631\u0639\u062a \u0628\u0627\u0644\u0627<\/h2>\n

\u062f\u0631 GB300 NVL72 \u0627\u0631\u062a\u0628\u0627\u0637 GPU\u0647\u0627 \u062a\u0648\u0633\u0637 NVLink \u0646\u0633\u0644 \u067e\u0646\u062c\u0645 \u0648 NVSwitch \u0627\u0646\u062c\u0627\u0645 \u0645\u06cc\u200c\u0634\u0648\u062f. \u0627\u06cc\u0646 \u0633\u0627\u062e\u062a\u0627\u0631 \u0627\u0645\u06a9\u0627\u0646 \u0627\u062a\u0635\u0627\u0644 \u062a\u0627 \u06f5\u06f7\u06f6 GPU \u0628\u0627 \u067e\u0647\u0646\u0627\u06cc\u200c\u0628\u0627\u0646\u062f \u062f\u0627\u062e\u0644\u06cc \u06a9\u0647 \u0628\u0647 \u067e\u062a\u0627\u0628\u0627\u06cc\u062a \u0645\u06cc\u200c\u0631\u0633\u062f \u0631\u0627 \u0645\u06cc\u200c\u062f\u0647\u062f. \u0647\u0631 GPU \u067e\u0647\u0646\u0627\u06cc\u200c\u0628\u0627\u0646\u062f \u062f\u0648\u062c\u0647\u062a\u06cc \u062a\u0627 \u06f1.\u06f8 TB\/s<\/strong> \u062f\u0627\u0631\u062f\u060c \u0645\u0639\u0627\u062f\u0644 \u06f1\u06f4 \u0628\u0631\u0627\u0628\u0631 \u0633\u0631\u06cc\u0639\u200c\u062a\u0631 \u0627\u0632 PCIe Gen5. \u0627\u06cc\u0646 \u0633\u0637\u062d \u0627\u0632 \u0645\u0642\u06cc\u0627\u0633\u200c\u067e\u0630\u06cc\u0631\u06cc \u0628\u0631\u0627\u06cc \u0645\u062f\u0644\u200c\u0647\u0627\u06cc AI \u0628\u0627 \u067e\u0627\u0631\u0627\u0645\u062a\u0631\u0647\u0627\u06cc \u062a\u0631\u06cc\u0644\u06cc\u0648\u0646\u06cc \u0636\u0631\u0648\u0631\u06cc \u0627\u0633\u062a.<\/p>\n

<\/h2>\n

\u0639\u0645\u0644\u06a9\u0631\u062f AI reasoning \u0628\u0627\u0648\u0631\u0646\u06a9\u0631\u062f\u0646\u06cc<\/h2>\n

GB300 NVL72 \u0628\u0647 \u0644\u0637\u0641 Blackwell Ultra Tensor Cores \u0628\u0627 2\u00d7 \u0634\u062a\u0627\u0628 attention-layer<\/strong> \u0648 \u062d\u0627\u0641\u0638\u0647 HBM3e \u062a\u0627 \u06f2\u06f8\u06f8 GB \u0628\u0631\u0627\u06cc \u0647\u0631 GPU\u060c \u0639\u0645\u0644\u06a9\u0631\u062f AI reasoning \u0631\u0627 \u0634\u06af\u0641\u062a\u200c\u0622\u0648\u0631 \u0627\u0641\u0632\u0627\u06cc\u0634 \u062f\u0627\u062f\u0647 \u0627\u0633\u062a. \u0642\u062f\u0631\u062a AI reasoning \u0627\u06cc\u0646 \u0632\u06cc\u0631\u0633\u0627\u062e\u062a \u0628\u0631\u0627\u0628\u0631 \u0628\u0627 1.1 ExaFLOPS \u062f\u0631 FP4<\/strong> \u0627\u0633\u062a. \u0645\u062c\u0645\u0648\u0639 \u0639\u0645\u0644\u06a9\u0631\u062f \u06a9\u0644\u06cc \u062f\u0633\u062a\u06af\u0627\u0647\u060c \u0647\u0645\u0631\u0627\u0647 \u0628\u0627 \u0639\u0645\u0644\u06a9\u0631\u062f \u06f5\u06f0\u00d7 \u0628\u06cc\u0634\u062a\u0631 \u062f\u0631 AI factory output \u0646\u0633\u0628\u062a \u0628\u0647 \u067e\u0644\u062a\u0641\u0631\u0645\u200c\u0647\u0627\u06cc \u0646\u0633\u0644 Hopper \u0627\u0633\u062a. \u0646\u0633\u0628\u062a TPS \u0628\u0647 \u06a9\u0627\u0631\u0628\u0631 \u06f1\u06f0\u00d7 \u0628\u0647\u062a\u0631 \u0648 throughput \u0628\u0640\u0631 \u062d\u0633\u0628 \u0647\u0631 \u0645\u06af\u0627\u0648\u0627\u062a \u0646\u06cc\u0632 \u06f5\u00d7 \u0627\u0631\u062a\u0642\u0627 \u06cc\u0627\u0641\u062a\u0647 \u0627\u0633\u062a.<\/p>\n

<\/h2>\n

\u062d\u0627\u0641\u0638\u0647 \u0648 \u067e\u0647\u0646\u0627\u06cc\u200c\u0628\u0627\u0646\u062f \u0641\u0631\u0627\u06af\u06cc\u0631<\/h2>\n

\u0633\u06cc\u0633\u062a\u0645 GB300 NVL72 \u0628\u0627 \u062a\u0631\u06a9\u06cc\u0628 GPU \u0648 CPU\u060c \u062a\u0627 \u06f4\u06f0 TB \u062d\u0627\u0641\u0638\u0647 \u0633\u0631\u06cc\u0639 (HBM3e + LPDDR5X)<\/strong> \u0631\u0627 \u062f\u0631 \u06cc\u06a9 \u0631\u06a9 \u0641\u0631\u0627\u0647\u0645 \u0645\u06cc\u200c\u06a9\u0646\u062f. \u0647\u0631 GPU \u062f\u0627\u0631\u0627\u06cc \u06f2\u06f8\u06f8 GB HBM3e \u0648 \u067e\u0647\u0646\u0627\u06cc\u200c\u0628\u0627\u0646\u062f \u062a\u0627 \u06f8 TB\/s<\/strong> \u0627\u0633\u062a. \u0647\u0645\u0686\u0646\u06cc\u0646 \u0645\u0639\u0645\u0627\u0631\u06cc Grace Blackwell Ultra Superchip \u067e\u0634\u062a\u06cc\u0628\u0627\u0646\u06cc \u0627\u0632 Cache \u0644\u0627\u06cc\u0647\u200c\u0628\u0646\u062f\u06cc\u200c\u0634\u062f\u0647 \u0628\u0627 \u06f1 TB \u062d\u0627\u0641\u0638\u0647 \u06cc\u06a9\u067e\u0627\u0631\u0686\u0647 \u0641\u0631\u0627\u0647\u0645 \u0645\u06cc\u200c\u0622\u0648\u0631\u062f.<\/p>\n

\"\"<\/a><\/h2>\n

\u0634\u0628\u06a9\u0647 \u0648 \u0627\u062a\u0635\u0627\u0644 \u0628\u0647\u06cc\u0646\u0647<\/h2>\n

\u0628\u0627 \u062a\u062c\u0647\u06cc\u0632\u0627\u062a \u0634\u0628\u06a9\u0647 \u0642\u062f\u0631\u062a\u0645\u0646\u062f\u06cc \u0686\u0648\u0646 ConnectX-8 SuperNIC<\/strong> \u0628\u0627 \u0633\u0631\u0639\u062a \u06f8\u06f0\u06f0 Gb\/s\u060c GB300 NVL72 \u062a\u0648\u0627\u0646\u0627\u06cc\u06cc \u0627\u0631\u062a\u0628\u0627\u0637 \u0645\u0624\u062b\u0631 \u0628\u0627 \u0633\u0627\u06cc\u0631 \u06a9\u0644\u0627\u0633\u062a\u0631\u0647\u0627 \u0648 \u0634\u0628\u06a9\u0647\u200c\u0647\u0627\u06cc \u0627\u0628\u0631\u06cc \u0631\u0627 \u062f\u0627\u0631\u062f. \u0633\u0627\u0632\u06af\u0627\u0631\u06cc \u0628\u0627 Quantum-X800 InfiniBand \u0648 Spectrum-X Ethernet\u060c \u0639\u0645\u0644\u06a9\u0631\u062f AI \u0631\u0627 \u0628\u0647\u06cc\u0646\u0647 \u0645\u06cc\u200c\u06a9\u0646\u062f \u0648 \u0647\u0645\u0627\u0647\u0646\u06af\u06cc \u0628\u0631\u0627\u06cc multi-node inference \u0631\u0627 \u062a\u0633\u0647\u06cc\u0644 \u0645\u06cc\u200c\u0633\u0627\u0632\u062f.<\/p>\n

<\/h2>\n

\u0645\u0635\u0631\u0641 \u0627\u0646\u0631\u0698\u06cc \u0647\u0648\u0634\u0645\u0646\u062f \u0648 \u067e\u0627\u06cc\u062f\u0627\u0631\u06cc<\/h2>\n

\u0645\u06a9\u0627\u0646\u06cc\u0632\u0645\u200c\u0647\u0627\u06cc Power Smoothing \u0645\u0627\u0646\u0646\u062f Power Cap\u060c \u0627\u0646\u0631\u0698\u06cc \u0630\u062e\u06cc\u0631\u0647\u200c\u0634\u062f\u0647 \u0648 Power Burner \u0627\u06cc\u0646 \u0627\u062c\u0627\u0632\u0647 \u0631\u0627 \u0645\u06cc\u200c\u062f\u0647\u062f \u062a\u0627 \u0645\u0635\u0631\u0641 \u0628\u0631\u0642 \u0647\u0646\u06af\u0627\u0645 \u0634\u0631\u0648\u0639 \u0648 \u067e\u0627\u06cc\u0627\u0646 \u0628\u0627\u0631\u0647\u0627\u06cc \u0645\u062d\u0627\u0633\u0628\u0627\u062a\u06cc \u0628\u062f\u0648\u0646 \u0646\u0648\u0633\u0627\u0646 \u0646\u0627\u06af\u0647\u0627\u0646\u06cc \u0645\u062f\u06cc\u0631\u06cc\u062a \u0634\u0648\u062f. \u0647\u0645\u0686\u0646\u06cc\u0646 \u0647\u062f\u0631 \u062f\u0627\u062f\u0646 \u0627\u0646\u0631\u0698\u06cc \u0646\u06cc\u0632 \u0628\u0647 \u062d\u062f\u0627\u0642\u0644 \u0631\u0633\u06cc\u062f\u0647 \u0627\u0633\u062a \u062a\u0627 \u0633\u06cc\u0633\u062a\u0645 \u0628\u0627 \u062b\u0628\u0627\u062a \u0628\u0627\u0644\u0627 \u06a9\u0627\u0631 \u06a9\u0646\u062f.<\/p>\n

<\/h2>\n

\u06a9\u0627\u0631\u0628\u0631\u062f\u0647\u0627 \u0648 \u0627\u0633\u062a\u0642\u0631\u0627\u0631 \u0648\u0627\u0642\u0639\u06cc<\/h2>\n

\u0627\u06cc\u0646 \u0633\u06cc\u0633\u062a\u0645 \u062f\u0631 \u062a\u0633\u062a\u200c\u0647\u0627 \u0648 \u0627\u0633\u062a\u0642\u0631\u0627\u0631\u0647\u0627\u060c \u0639\u0645\u0644\u06a9\u0631\u062f\u06cc \u062a\u0627 6.5\u00d7 \u0628\u0631\u062a\u0631\u06cc \u062f\u0631 DeepSeek R1 inference<\/strong> \u0646\u0633\u0628\u062a \u0628\u0647 H100 \u0646\u0634\u0627\u0646 \u062f\u0627\u062f\u0647 \u0627\u0633\u062a. CoreWeave \u0627\u0648\u0644\u06cc\u0646 \u0627\u0631\u0627\u0626\u0647\u200c\u062f\u0647\u0646\u062f\u0647 cloud \u0628\u0627 GB300 NVL72 \u0628\u0648\u062f \u06a9\u0647 \u0628\u0627 \u0633\u0648\u0626\u06cc\u0686\u06cc\u0646\u06af \u0647\u0648\u0634\u0645\u0646\u062f \u0648 \u0645\u062f\u06cc\u0631\u06cc\u062a rack-scale\u060c \u0639\u0645\u0644\u06a9\u0631\u062f \u0641\u0648\u0642\u200c\u0627\u0644\u0639\u0627\u062f\u0647\u200c\u0627\u06cc \u0627\u0631\u0627\u0626\u0647 \u062f\u0627\u062f.<\/p>\n

<\/h2>\n

\u0645\u0642\u0627\u06cc\u0633\u0647 \u0628\u0627 \u067e\u0644\u062a\u0641\u0631\u0645\u200c\u0647\u0627\u06cc \u067e\u06cc\u0634\u06cc\u0646<\/h2>\n
\n
\n\n\n\n\n\n\n\n\n\n\n
\u0648\u06cc\u0698\u06af\u06cc<\/th>\nGB300 NVL72<\/th>\nGB200 NVL72<\/th>\nHopper (H100)<\/th>\n<\/tr>\n<\/thead>\n
GPU\u0647\u0627<\/td>\n72 Blackwell Ultra<\/td>\nBlackwell<\/td>\nH100<\/td>\n<\/tr>\n
\u0634\u0628\u06a9\u0647 NVLink<\/td>\n130 TB\/s<\/td>\n\u06a9\u0645\u062a\u0631<\/td>\n\u06a9\u0645\u062a\u0631<\/td>\n<\/tr>\n
\u062d\u0627\u0641\u0638\u0647 \u0647\u0631 GPU<\/td>\n288 GB HBM3e<\/td>\n192 GB<\/td>\n80 GB HBM3<\/td>\n<\/tr>\n
AI reasoning output<\/td>\n50\u00d7 \u0646\u0633\u0628\u062a \u0628\u0647 Hopper<\/td>\n30\u00d7<\/td>\nbaseline<\/td>\n<\/tr>\n
\u0645\u0635\u0631\u0641 \u0627\u0646\u0631\u0698\u06cc<\/td>\n\u0645\u062f\u06cc\u0631\u06cc\u062a \u0647\u0648\u0634\u0645\u0646\u062f \u0648 \u0645\u0627\u06cc\u0639\u200c\u062e\u0646\u06a9<\/td>\n\u0645\u0639\u0645\u0648\u0644\u06cc<\/td>\n\u0647\u0648\u0627\u062e\u0646\u06a9<\/td>\n<\/tr>\n
\u06a9\u0627\u0631\u0628\u0631\u062f\u0647\u0627<\/td>\nAI reasoning\u060c HPC\u060c inference at scale<\/td>\n\u0645\u0634\u0627\u0628\u0647 \u0628\u0627 \u06a9\u0645\u062a\u0631<\/td>\n\u062a\u06a9\u0646\u0648\u0644\u0648\u0698\u06cc \u067e\u0627\u06cc\u0647 AI<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div>\n

\"\"<\/a><\/h2>\n

\u0646\u062a\u06cc\u062c\u0647\u200c\u06af\u06cc\u0631\u06cc \u0646\u0647\u0627\u06cc\u06cc \u0628\u0631\u0631\u0633\u06cc GB300 NVL72<\/h2>\n

\u0628\u0631\u0631\u0633\u06cc GB300-NVL72<\/strong> \u0646\u0634\u0627\u0646 \u062f\u0627\u062f\u0647 \u0627\u0633\u062a \u06a9\u0647 \u0627\u06cc\u0646 \u0633\u06cc\u0633\u062a\u0645 \u0645\u0639\u0646\u0627\u06cc \u0648\u0627\u0642\u0639\u06cc AI factory \u062f\u0631\u0648\u0646 \u06cc\u06a9 \u0631\u06a9 \u0627\u0633\u062a. \u062a\u0631\u06a9\u06cc\u0628 \u067e\u0631\u062f\u0627\u0632\u0646\u062f\u0647\u200c\u0647\u0627\u06cc Grace \u0648 GPU Blackwell Ultra\u060c \u0634\u0628\u06a9\u0647 \u0639\u0638\u06cc\u0645 NVLink\u060c \u0638\u0631\u0641\u06cc\u062a \u062d\u0627\u0641\u0638\u0647\u200c\u0627\u06cc \u0628\u06cc\u200c\u0633\u0627\u0628\u0642\u0647\u060c \u0634\u0628\u06a9\u0647 \u0627\u0631\u062a\u0628\u0627\u0637\u06cc \u06f8\u06f0\u06f0 Gb\/s\u060c \u0648 \u067e\u0627\u06cc\u062f\u0627\u0631\u06cc \u062f\u0631 \u0645\u0635\u0631\u0641 \u0627\u0646\u0631\u0698\u06cc\u060c GB300 NVL72 \u0631\u0627 \u0628\u0647 \u06cc\u06a9\u06cc \u0627\u0632 \u067e\u06cc\u0634\u0631\u0641\u062a\u0647\u200c\u062a\u0631\u06cc\u0646 \u067e\u0644\u062a\u0641\u0631\u0645\u200c\u0647\u0627 \u0628\u0631\u0627\u06cc \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc\u060c reasoning \u062f\u0631 \u0645\u0642\u06cc\u0627\u0633 \u0628\u0632\u0631\u06af \u0648 HPC \u062a\u0628\u062f\u06cc\u0644 \u06a9\u0631\u062f\u0647 \u0627\u0633\u062a. \u0627\u06cc\u0646 \u0633\u06cc\u0633\u062a\u0645 \u0622\u06cc\u0646\u062f\u0647\u200c\u06cc \u067e\u0631\u062f\u0627\u0632\u0634 \u0647\u0648\u0634\u0645\u0646\u062f \u0631\u0627 \u067e\u0627\u06cc\u0647\u200c\u06af\u0630\u0627\u0631\u06cc \u0645\u06cc\u200c\u06a9\u0646\u062f \u0648 \u06af\u0632\u06cc\u0646\u0647\u200c\u0627\u06cc \u063a\u06cc\u0631 \u0642\u0627\u0628\u0644 \u0631\u0642\u0627\u0628\u062a \u062f\u0631 \u0628\u0627\u0632\u0627\u0631 AI factory \u062e\u0648\u0627\u0647\u062f \u0628\u0648\u062f.<\/p>\n","protected":false},"excerpt":{"rendered":"

\u0628\u0631\u0631\u0633\u06cc GB300-NVL72 \u0646\u0634\u0627\u0646\u200c\u062f\u0647\u0646\u062f\u0647 \u06cc\u06a9 \u0627\u0646\u0642\u0644\u0627\u0628 \u062f\u0631 \u0632\u06cc\u0631\u0633\u0627\u062e\u062a\u200c\u0647\u0627\u06cc AI\u200c \u0648 \u0645\u062d\u0627\u0633\u0628\u0627\u062a \u0641\u0648\u0642\u200c\u067e\u06cc\u0634\u0631\u0641\u062a\u0647 \u0627\u0633\u062a. \u0627\u06cc\u0646 \u0633\u06cc\u0633\u062a\u0645 rack-scale \u0628\u0627 \u0637\u0631\u0627\u062d\u06cc \u06a9\u0627\u0645\u0644\u0627\u064b \u0645\u0627\u06cc\u0639\u200c\u062e\u0646\u06a9 \u0634\u0627\u0645\u0644<\/p>\n","protected":false},"author":1,"featured_media":10267,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3865],"tags":[3244,3306,3245,3247,3250,3248,3246,3309,3307,3295,3310,3304,3305,3303,3308,3252,3296,3235,3298,3299,3234,3297,3300,3231,3238,3301,3236,3230,3233,3232,3302],"class_list":{"0":"post-10265","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","6":"hentry","7":"category-product-analysis","8":"tag-ai-gpu","9":"tag-buy-nvidia-gb300-nvl72","10":"tag-datacenter-gpu","11":"tag-deep-learning-gpu","12":"tag-high-performance-gpu","13":"tag-hpc-gpu","14":"tag-machine-learning-gpu","15":"tag-nvidia-gb300-for-ai","16":"tag-nvidia-gb300-gpu","17":"tag-nvidia-gb300-nvl72","18":"tag-nvidia-gb300-nvl72-architecture","19":"tag-nvidia-gb300-nvl72-gpu","20":"tag-nvidia-gb300-nvl72-graphics-card","21":"tag-nvidia-gb300-nvl72-review","22":"tag-nvidia-gb300-nvl72-specs","23":"tag-nvidia-server-gpu","24":"tag--nvidia-gb300-nvl72","25":"tag-3235","26":"tag--gb300-nvl72","27":"tag----gb300-nvl72","28":"tag---hpc","29":"tag---nvidia-gb300-nvl72","31":"tag-3231","32":"tag-3238","33":"tag----gb300","34":"tag-3236","35":"tag-3230","36":"tag-3233","37":"tag-3232"},"_links":{"self":[{"href":"https:\/\/arkanetwork.com\/en\/wp-json\/wp\/v2\/posts\/10265","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/arkanetwork.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/arkanetwork.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/arkanetwork.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/arkanetwork.com\/en\/wp-json\/wp\/v2\/comments?post=10265"}],"version-history":[{"count":1,"href":"https:\/\/arkanetwork.com\/en\/wp-json\/wp\/v2\/posts\/10265\/revisions"}],"predecessor-version":[{"id":10268,"href":"https:\/\/arkanetwork.com\/en\/wp-json\/wp\/v2\/posts\/10265\/revisions\/10268"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/arkanetwork.com\/en\/wp-json\/wp\/v2\/media\/10267"}],"wp:attachment":[{"href":"https:\/\/arkanetwork.com\/en\/wp-json\/wp\/v2\/media?parent=10265"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/arkanetwork.com\/en\/wp-json\/wp\/v2\/categories?post=10265"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/arkanetwork.com\/en\/wp-json\/wp\/v2\/tags?post=10265"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}