NIIDIA H100 900-21010-000-000

PN:  H100  900-21010-000-000

NVIDIA H100 Tensor Core Gpus deliver unprecedented performance, scalability, and security for every workload.
Up to 256 H100 Gpus can be connected with the NVIDIA NVLink® switch system to accelerate exascale workloads.
The GPU also includes a dedicated Transformer engine for solving trillion-parameter language models.
The H100's comprehensive technological innovations can speed up large language models (LLMS) by up to 30 times to deliver industry-leading conversational AI.
For LLMS with up to 175 billion parameters, PCI-based H100 NVL and NVLink Bridges utilize Transformer engines,
NVLink and 188GB HBM3 memory provide the best performance and easily scale to any data center,
Make LLM mainstream. Servers equipped with H100 NVL Gpus increase the performance of the GPT-175B model to 12 times that of the NVIDIA DGX™ A100 system, while maintaining low latency in power-constrained data center environments.
The H100 uses a fourth-generation Tensor Core and a Transformer engine with FP8 accuracy to train GPT-3 (175B) models up to four times faster than the previous generation.
 The combination of fourth-generation NVLink, which provides 900 GB/s GPU-to-GPU interconnect; NDR Quantum-2 InfiniBand network
Accelerate communication across nodes for each GPU; PCIe Gen5; NVIDIA Magnum IO™ software provides efficient scalability from small enterprise systems to large-scale unified GPU clusters.
Deploying H100 Gpus at data center scale delivers outstanding performance and brings the next generation of exascale high performance computing (HPC) and trillion-parameter AI to all researchers.
The H100 extends NVIDIA's market-leading inference leadership by increasing inference speed by up to 30 times and offering the lowest latency through several improvements. The fourth-generation Tensor Core accelerates all precision,
 including FP64, TF32, FP32, FP16,
INT8 and now FP8 to reduce memory usage and improve performance while still maintaining LLM accuracy.
The NVIDIA data center platform consistently delivers performance improvements beyond Moore's Law. 
The H100's new breakthrough AI capabilities further enhance the power of HPC+AI to accelerate discovery time for scientists and researchers working to solve the world's most important challenges.
The H100 delivers three times the floating-point operations per second (FLOPS) of the double-precision Tensor Core,
 delivering 60 teraflops of FP64 calculations for the HPC. Ai-converged HPC applications can also leverage the TF32 accuracy of the H100 to achieve 1 petaflop throughput and single precision matrix multiplication without code changes.
The H100 also features new DPX instructions that deliver up to 7 times better performance than the A100 on dynamic planning algorithms, such as Smith-Waterman for DNA sequence alignment and protein alignment for protein structure prediction, 
and up to 40 times faster CPU speed.
The H100's accelerated servers provide computing power, along with 3 terabytes per second (TB/s) of memory bandwidth per GPU, and the scalability of NVLink and NVSwitch™ to handle data analytics with high performance and scalability.
To support massive data sets. Combined with NVIDIA Quantum-2 InfiniBand, Magnum IO software, GGPU accelerated Spark 3.0, 
and NVIDIA RAPIDS™, the NVIDIA data center platform accelerates these massive workloads with unmatched levels of performance and efficiency.
The second-generation multi-instance GPU (MIG) technology in the H100 maximizes the utilization of each GPU by securely dividing each GPU into up to seven separate instances. With confidential computing support, the H100 allows for secure, 
end-to-end, multi-tenant use, making it ideal for cloud service provider (CSP) environments.
The H100 with MIG gives infrastructure managers the ability to standardize their GPU-accelerated infrastructure while having the flexibility to configure more refined GPU resources,
 safely giving developers the right amount of accelerated computing and optimizing the use of all their GPU resources.
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