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H100 PCIE 超载服务器通过 NVIDIA H100 Tensor Core GPU,在每个工作负载中实现出色性能、可扩展性和安全性。使用 NVIDIA® NVLink® Switch 系统,可连接多达 256 个 H100 来加速百亿亿级 (Exascale) 工作负载,另外可通过专用的 Transformer 引擎来处理万亿参数语言模型。与上一代产品相比,H100 的综合技术创新可以将大
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H100 PCIE 超载服务器
通过 NVIDIA H100 Tensor Core GPU,在每个工作负载中实现出色性能、可扩展性和安全性。使用 NVIDIA® NVLink® Switch 系统,可连接多达 256 个 H100 来加速百亿亿级 (Exascale) 工作负载,另外可通过专用的 Transformer 引擎来处理万亿参数语言模型。与上一代产品相比,H100 的综合技术创新可以将大型语言模型的速度提高 30 倍,从而提供业界领先的对话式 AI。
H100 配备第四代 Tensor Core 和 Transformer 引擎(FP8 精度),与上一代产品相比,可为多专家 (MoE) 模型提供高 9 倍的训练速度。通过结合可提供 900 GB/s GPU 间互联的第四代 NVlink、可跨节点加速每个 GPU 通信的 NVLINK Switch 系统、PCIe 5.0 以及 NVIDIA Magnum IO 软件,为小型企业到大规模统一 GPU 集群提供高效的可扩展性。
在数据中心级部署 H100 GPU 可提供出色的性能,并使所有研究人员均能轻松使用新一代百亿亿次级 (Exascale) 高性能计算 (HPC) 和万亿参数的 AI。
AI 正在利用一系列广泛的神经网络解决范围同样广泛的一系列商业挑战。出色的 AI 推理加速器不仅要提供非凡性能,还要利用通用性加速这些神经网络。
H100 进一步扩展了 NVIDIA 在推理领域的市场领先地位,其多项先进技术可将推理速度提高 30 倍,并提供超低的延迟。第四代 Tensor Core 可加速所有精度(包括 FP64、TF32、FP32、FP16 和 INT8)。Transformer 引擎可结合使用 FP8 和 FP16 精度,减少内存占用并提高性能,同时仍能保持大型语言模型的准确性。

H100 PCIE 超载服务器
Deliver outstanding performance, scalability, and security in every workload with NVIDIA H100 Tensor Core Gpus. With the NVIDIA® NVLink® Switch system, up to 256 H100s can be connected to accelerate Exascale workloads, plus a dedicated Transformer engine to handle trillion-parameter language models. Compared to the previous generation, the H100's comprehensive technological innovations can speed large language models up to 30 times faster to deliver industry-leading conversational AI.
Equipped with a fourth-generation Tensor Core and Transformer engine (FP8 precision), the H100 offers up to 9 times faster training for multi-expert (MoE) models compared to the previous generation. By combining fourth-generation NVlink that provides connectivity between 900 GB/s Gpus, NVLINK Switch system that accelerates communication across nodes for each GPU, PCIe 5.0, and NVIDIA Magnum IO software, Efficient scalability for small businesses to large-scale unified GPU clusters.
Deploying H100 Gpus at the data center level delivers outstanding performance and makes the next generation of Exascale high performance computing (HPC) and trillion-parameter AI easily accessible to all researchers.
AI is leveraging a broad set of neural networks to solve an equally broad set of business challenges. A great AI inference accelerator should not only deliver exceptional performance, but also accelerate these neural networks with versatility.
The H100 further extends NVIDIA's market-leading position in reasoning with several advanced technologies that increase reasoning speeds up to 30 times and deliver ultra-low latency. The fourth-generation Tensor Core accelerates all precision (including FP64, TF32, FP32, FP16, and INT8). The Transformer engine combines FP8 and FP16 precision to reduce memory footprint and improve performance while still maintaining the accuracy of large language models.
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