{"title":"Servers","description":"\u003cp\u003eEnterprise AI server systems, 8-GPU HGX H200 and B200 racks from Supermicro, ASUS, GIGABYTE, QCT, and NVIDIA DGX B300, Agent One-ready. \u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eContact for Price. \u003c\/strong\u003e\u003c\/p\u003e","products":[{"product_id":"dgx-b300-8-gpu-system","title":"NVIDIA DGX B300 (8× B300, 2,304 GB)","description":"\u003cp\u003e10U rackmount AI system featuring eight NVIDIA Blackwell Ultra B300 GPUs on an HGX B300 baseboard, equipped with 2.3 TB of HBM3e memory, dual Intel Xeon 6 processors, up to 4 TB of DDR5, eight ConnectX-8 SuperNICs at 800 Gb\/s, and delivering up to 144 PFLOPS of FP4 AI performance.\u003c\/p\u003e\u003cp\u003eDesigned to train and serve trillion-parameter-class models on a single node as NVIDIA's own reference system, with fifth-generation NVLink and NVSwitch at 1.8 TB\/s between GPUs, DGX OS and NVIDIA AI Enterprise preinstalled, and Mission Control for fleet operations when scaled to SuperPOD.\u003c\/p\u003e\u003cp\u003eAir-cooled in a standard rack at roughly 14 kW of continuous draw on a three-phase feed, and able to run a 1-trillion-parameter model at FP8 or larger at FP4 entirely in GPU memory.\u003c\/p\u003e\u003cp\u003ePrice available on request. NVIDIA list has moved above $300,000; OEM 8× B200 boxes list at $490,000, so budget $500,000+.\u003c\/p\u003e\u003cp\u003e\u003cem\u003eSpecs \u0026amp; details via \u003ca href=\"https:\/\/www.nvidia.com\/en-us\/data-center\/dgx-b300\/\" target=\"_blank\" rel=\"noopener\"\u003eNVIDIA\u003c\/a\u003e.\u003c\/em\u003e\u003c\/p\u003e","brand":"NVIDIA","offers":[{"title":"Request a quote","offer_id":52457679519960,"sku":"NV-DGX-B300","price":0.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0839\/7039\/2280\/files\/NVIDIA_DGX_B300_white.png?v=1790220786"},{"product_id":"supermicro-hgx-8-h200","title":"Supermicro SYS-821GE-TNHR (8× H200, 1,128 GB)","description":"\u003cp\u003eEnterprise 8U rackmount AI server featuring eight NVIDIA H200 SXM5 GPUs on an HGX baseboard, equipped with 1,128 GB of HBM3e memory, dual 5th Gen Intel Xeon Scalable processors, up to 8 TB of DDR5, 19 hot-swap NVMe bays, and delivering up to 32 PFLOPS of FP8 AI performance.\u003c\/p\u003e\u003cp\u003eDesigned to train and serve frontier-scale models on a single node, with NVLink and NVSwitch connecting all eight GPUs at 900 GB\/s, and scale to multi-node clusters over NVIDIA InfiniBand or 400 GbE, shipping with NVIDIA AI Enterprise support and the standard CUDA, PyTorch, and Triton stack.\u003c\/p\u003e\u003cp\u003eRack-mounted and redundantly powered, with six 3,000 W Titanium supplies, roughly 7 kW of continuous draw, and the ability to run a 405-billion-parameter model at FP8 across all eight GPUs with full context.\u003c\/p\u003e\u003cp\u003ePrice available on request.\u003c\/p\u003e\u003cp\u003e\u003cem\u003eSpecs \u0026amp; details via \u003ca href=\"https:\/\/www.supermicro.com\/en\/products\/system\/gpu\/8u\/sys-821ge-tnhr\" target=\"_blank\" rel=\"noopener\"\u003eSupermicro\u003c\/a\u003e.\u003c\/em\u003e\u003c\/p\u003e","brand":"Supermicro","offers":[{"title":"Request a quote","offer_id":52457680928984,"sku":"SMC-SYS-821GE-TNHR","price":0.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0839\/7039\/2280\/files\/SYS-821GE-TNHR_main.webp?v=1789173978"},{"product_id":"asus-esc-n8","title":"ASUS ESC N8-E11V (8× H200, 1,128 GB)","description":"\u003cp\u003e7U rackmount AI server featuring eight NVIDIA H200 SXM5 GPUs on an HGX baseboard, equipped with 1,128 GB of HBM3e memory, dual 5th or 4th Gen Intel Xeon Scalable processors, 32 DDR5 DIMM slots, ten front hot-swap NVMe bays, and delivering up to 32 PFLOPS of FP8 AI performance.\u003c\/p\u003e\u003cp\u003eDesigned to train and serve frontier-scale models on a single node, with NVLink and NVSwitch connecting all eight GPUs at 900 GB\/s, a one-GPU-to-one-NIC topology across 10+1 PCIe Gen5 slots for 400G InfiniBand or Ethernet scale-out, and full NVIDIA AI Enterprise, CUDA, PyTorch, and Triton support with ASUS Control Center for fleet management.\u003c\/p\u003e\u003cp\u003eAir-cooled with a dedicated two-level airflow path separating CPU and GPU thermals, redundant Titanium power supplies at roughly 7 kW of continuous draw, dual 10 GbE onboard, and the ability to run a 405-billion-parameter model at FP8 across all eight GPUs with full context.\u003c\/p\u003e\u003cp\u003ePrice available on request.\u003c\/p\u003e\u003cp\u003e\u003cem\u003eSpecs \u0026amp; details via \u003ca href=\"https:\/\/servers.asus.com\/products\/servers\/gpu-servers\/ESC-N8-E11\" target=\"_blank\" rel=\"noopener\"\u003eASUS\u003c\/a\u003e.\u003c\/em\u003e\u003c\/p\u003e","brand":"ASUS","offers":[{"title":"Request a quote","offer_id":52457680830680,"sku":"ASUS-ESC-N8-E11V","price":0.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0839\/7039\/2280\/files\/download.png?v=1789111240"},{"product_id":"gigabyte-g593","title":"GIGABYTE G593-SD1-AAX3 (8× H200, 1,128 GB)","description":"\u003cp\u003eDense 5U rackmount AI server featuring eight NVIDIA H200 SXM5 GPUs on an HGX baseboard, equipped with 1,128 GB of HBM3e memory, dual 5th or 4th Gen Intel Xeon Scalable processors, 32 DDR5 DIMM slots, eight front hot-swap PCIe Gen5 NVMe bays, and delivering up to 32 PFLOPS of FP8 AI performance.\u003c\/p\u003e\u003cp\u003eDesigned to train and serve frontier-scale models on a single node, with NVLink and NVSwitch connecting all eight GPUs at 900 GB\/s and dedicated PCIe Gen5 slots for 400G InfiniBand or Ethernet scale-out, shipping with full NVIDIA AI Enterprise, CUDA, PyTorch, and Triton support and GIGABYTE's remote management stack.\u003c\/p\u003e\u003cp\u003eAir-cooled in the smallest 8-GPU footprint on the market at 5U, with six 3,000 W Titanium power supplies in a 4+2 redundant configuration and roughly 7 kW of continuous draw, and the ability to run a 405-billion-parameter model at FP8 across all eight GPUs with full context.\u003c\/p\u003e\u003cp\u003ePrice available on request.\u003c\/p\u003e\u003cp\u003e\u003cem\u003eSpecs \u0026amp; details via \u003ca href=\"https:\/\/www.gigabyte.com\/us\/Enterprise\/GPU-Server\/G593-SD1-AAX3\" target=\"_blank\" rel=\"noopener\"\u003eGIGABYTE\u003c\/a\u003e.\u003c\/em\u003e\u003c\/p\u003e","brand":"GIGABYTE","offers":[{"title":"Request a quote","offer_id":52457680765144,"sku":"GBT-G593-SD1-AAX3","price":0.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0839\/7039\/2280\/files\/Screenshot_2026-09-10_at_8.49.46_PM.png?v=1789098594"},{"product_id":"qct-ai-server","title":"QCT QuantaGrid D75F-9U (8× B200, 1,440 GB)","description":"\u003cp\u003eHyperscale-grade 9U rackmount AI server featuring eight NVIDIA B200 GPUs on an HGX B200 baseboard, equipped with 1.4 TB of HBM3e memory at 64 TB\/s aggregate bandwidth, dual Intel Xeon 6 processors, 32 DDR5 DIMM slots, front hot-swap NVMe bays, and delivering up to 72 PFLOPS of dense FP4 AI performance.\u003c\/p\u003e\u003cp\u003eDesigned to train and serve trillion-parameter-class models on a single node, with fifth-generation NVLink and NVSwitch connecting all eight GPUs at 1.8 TB\/s, one-to-one GPU-to-NIC topology for 400G or 800G InfiniBand and Ethernet scale-out, and full NVIDIA AI Enterprise, CUDA, and Triton support.\u003c\/p\u003e\u003cp\u003eAir-cooled in a standard rack with roughly 10 kW of continuous draw on a three-phase feed, built by the ODM that manufactures much of the world's hyperscale fleet, and able to run a 671-billion-parameter model at FP8 or a 1-trillion-parameter model at FP4 entirely in GPU memory.\u003c\/p\u003e\u003cp\u003ePrice available on request.\u003c\/p\u003e\u003cp\u003e\u003cem\u003eSpecs \u0026amp; details via \u003ca href=\"https:\/\/www.qct.io\/product\/index\/Server\/rackmount-server\/GPGPU-Xeon-Phi\" target=\"_blank\" rel=\"noopener\"\u003eQCT\u003c\/a\u003e.\u003c\/em\u003e\u003c\/p\u003e","brand":"QCT","offers":[{"title":"Request a quote","offer_id":52457680666840,"sku":"QCT-D75F-9U-B200","price":0.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0839\/7039\/2280\/files\/may-chu-server-supermicro-hgx-b200-8-gpu-as-a126gs-tnbr.webp?v=1789181107"}],"url":"https:\/\/shop.hushh.ai\/collections\/servers.oembed","provider":"Hussh Shop","version":"1.0","type":"link"}