While not the latest Grace x Blackwell products, these 2U servers, powered by NVIDIA MGX's modular reference architecture with model names ESC NM1-E1 and ESC NM2-E1, still packs a punch.
They feature the GH200 Grace Hopper Superchip, integrating Arm Neoverse V9 CPU cores with Scalable Vector Extensions (SVE2), NVLink-C2C, BlueField-3 DPUs, and ConnectX-7 network adapters, delivering data throughput of up to 400Gbps. NVIDIA's AI enterprise software stack equips these servers with a variety of tools and platforms for building and deploying enterprise-grade AI applications, enhancing their appeal.
Additionally, ASUS employs a Direct-to-Chip (D2C) cooling solution to rapidly deploy and improve Power Usage Effectiveness (PUE) ratios over time. While ESC N8-E11 and RS720QN-E11-RS24U models support manifolds and cooling plates, all ASUS servers can accommodate a rear-door heat exchanger, designed to fit standard rack-server configurations for industry-standard deployment.
Over at booth no.730, ASUS will be demoing the ESC4000A-E12, showcasing "No-Code AI" capabilities through an integrated software stack facilitating accelerated AI development, including LLM pre-training, fine-tuning, and inference, with token counts ranging from 7B to 180B, tailored to client requirements to maximize the efficiency and ROI game. ASUS attends GTC 2024 to show off their MGX series of full stack AI supercomputing solutions
ASUS has revealed that they will present their MGX Series AI supercomputing-ready solutions at GTC 2024. While not the latest Grace x Blackwell products, these 2U servers, powered by NVIDIA MGX's modular reference architecture with model names ESC NM1-E1 and ESC NM2-E1, still packs a punch. They feature the GH200 Grace
ASUS has revealed that they will present their MGX Series AI supercomputing-ready solutions at GTC 2024.
While not the latest Grace x Blackwell products, these 2U servers, powered by NVIDIA MGX's modular reference architecture with model names ESC NM1-E1 and ESC NM2-E1, still packs a punch.
They feature the GH200 Grace Hopper Superchip, integrating Arm Neoverse V9 CPU cores with Scalable Vector Extensions (SVE2), NVLink-C2C, BlueField-3 DPUs, and ConnectX-7 network adapters, delivering data throughput of up to 400Gbps. NVIDIA's AI enterprise software stack equips these servers with a variety of tools and platforms for building and deploying enterprise-grade AI applications, enhancing their appeal.
Additionally, ASUS employs a Direct-to-Chip (D2C) cooling solution to rapidly deploy and improve Power Usage Effectiveness (PUE) ratios over time. While ESC N8-E11 and RS720QN-E11-RS24U models support manifolds and cooling plates, all ASUS servers can accommodate a rear-door heat exchanger, designed to fit standard rack-server configurations for industry-standard deployment.
Over at booth no.730, ASUS will be demoing the ESC4000A-E12, showcasing "No-Code AI" capabilities through an integrated software stack facilitating accelerated AI development, including LLM pre-training, fine-tuning, and inference, with token counts ranging from 7B to 180B, tailored to client requirements to maximize the efficiency and ROI game.
While not the latest Grace x Blackwell products, these 2U servers, powered by NVIDIA MGX's modular reference architecture with model names ESC NM1-E1 and ESC NM2-E1, still packs a punch.
They feature the GH200 Grace Hopper Superchip, integrating Arm Neoverse V9 CPU cores with Scalable Vector Extensions (SVE2), NVLink-C2C, BlueField-3 DPUs, and ConnectX-7 network adapters, delivering data throughput of up to 400Gbps. NVIDIA's AI enterprise software stack equips these servers with a variety of tools and platforms for building and deploying enterprise-grade AI applications, enhancing their appeal.
Additionally, ASUS employs a Direct-to-Chip (D2C) cooling solution to rapidly deploy and improve Power Usage Effectiveness (PUE) ratios over time. While ESC N8-E11 and RS720QN-E11-RS24U models support manifolds and cooling plates, all ASUS servers can accommodate a rear-door heat exchanger, designed to fit standard rack-server configurations for industry-standard deployment.
Over at booth no.730, ASUS will be demoing the ESC4000A-E12, showcasing "No-Code AI" capabilities through an integrated software stack facilitating accelerated AI development, including LLM pre-training, fine-tuning, and inference, with token counts ranging from 7B to 180B, tailored to client requirements to maximize the efficiency and ROI game. 
