NVIDIA DGX H100 is the AI powerhouse that’s accelerated by the groundbreaking performance of the NVIDIA H100 Tensor Core GPU.
DGX H100系统集成八颗H100芯片、搭配两颗PCIe 5.0 CPU处理器,总计6400亿个晶体管、640GB HBM3显存、24TB/s显存带宽。 性能方面,AI算力32PFlops(每秒3.2亿亿次),浮点算力FP64 480TFlops(每秒480万亿次),FP16 1.6PFlops(每秒1.6千万亿次),FP8 3.2PFlops(每秒3.2千亿次),分别是上代DGX A100的3倍、3倍、6倍,...
The DDN A³I scalable architecture integrates DGX H100 systems with DDN AI shared parallel file storage appliances and delivers fully-optimized end-to-end AI, Analytics and HPC workflow acceleration on NVIDIA GPUs. DDN A3I solutions greatly simplify the deployment of DGX SuperPOD configurations usin...
Level 1 单节点内总共包含8x18=144 NVLink, 每个NVSwitch 连接 144/4 = 36 条NVLink(NVSwitch 此时带宽有富余,最大支持128 条NVLink 直连); Level2 通过32 个switch 为32 个Level1 节点提供全向连接; 和DGX A100 SuperPod 相比,不需要IB 网络的引入; 同时,DGX H100还支持 8x NVIDIA ConnectX-7 Ethernet/...
Certified Systems™ with 4 or 8 GPUs NVIDIA DGX H100 with 8 GPUs Partner and NVIDIA-Certified Systems with 1–8 GPUs NVIDIA AI Enterprise Add-on Included * With sparsity Take a deep dive into the NVIDIA Hopper architecture. Read Whitepaper ...
NVIDIA today announced the fourth-generation NVIDIA® DGX™ system, the world’s first AI platform to be built with new NVIDIA H100 Tensor Core GPUs.
“中低配版”搭载了已经上市的H100 GPU和NVIDIA ConnectX-7 SmartNIC。考虑到上市两年的H100仍处于供不应求的状态，DGX BasePOD“中低配版”对于很多客户来说也已经是“高配版”了。DGX BasePOD还有一个“低配版”，这就是2021年推出的配置了A100 GPU的DGX A100参考架构。NVIDIA还提供了AWS部署的DGX H100与DGX...
DGX SuperPOD 由 32 个 DGX H100 组成,被称为“可扩展单元”,共集成了256 个 H100 GPU,通过基于第三代 NVSwitch 技术的新的第二级 NVLink 交换机连接,提供前所未有的 FP8 稀疏 AI 计算性能的 exaFLOP 。非常适合扩展基础架构,支持更大规模、更复杂的 AI 工作负载,例如使用 NVIDIA NeMo 的大型语言模型和深度...
(GDS) provides a way to read data from the remote filesystem or local NVMe directly into GPU memory providing higher sustained I/O performance with lower latency. Using the storage fabric on the DGX SuperPOD, a GDS-enabled application should be able to read data at over 40...
DGX SuperPOD with NVIDIA DGX H100 systems is the next generation of data center scale architecture to meet the demanding and growing needs of AI training. This RA document for DGX SuperPOD represents the architecture used by NVIDIA for our own AI model and HPC research and development. DGX Sup...