The H100 GPU includes a Transformer Engine to solve trillion-parameter language models. The technological innovations can speed up Large Language Models by over 30 times as compared to the previous generation resulting in the delivery of Conversational AI that far exceeds even the best of industry standards. NVIDIA H100 also comes with an NVIDIA AI Enterprise five-year software subscription and includes enterprise support, which simplifies AI adoption with the highest performance. This makes sure that organizations have access to the AI frameworks and tools needed to build H100 accelerated AI workflows such as conversational AI, recommendation engines, vision AI, and more.
The H100 is a high-end GPU manufactured by NVIDIA, specifically designed for AI and ML workloads. When compared to other cloud GPU providers, its performance and efficiency are among the best available in the market.
Here are some key features that make the H100 80GB stand out:
The HBM3 memory subsystem provides nearly twice the increase in bandwidth over the previous generation. The H100 GPU is the world’s first GPU with HBM3 memory delivering a class-leading 3 TB/sec of memory bandwidth.
The new fourth-generation Tensor Cores are up to six times faster as compared to A100. On a per SM basis, the Tensor Cores deliver 2 times the Matrix Multiply-Accumulate computational rates of the A100 SM on equivalent data types.
The second generation MIG technology provides around 3 times higher compute capacity and nearly 2 times more memory bandwidth per GPU Instance.
The fourth-generation NVIDIA NV Link provides a three times bandwidth increase on all-reduce operations and a 50% general bandwidth increase over the prior generation NVLink with 900 GB/sec total bandwidth for multi-GPU IO operating at seven times the bandwidth of PCIe Gen 5.
H100 Cloud GPUs are powerful graphics processing units that can be used in a variety of real-world scenarios. Here are some examples:
We are offering pay as you go model to long tenure plans. Easy upgrade allowed. Option to increase storage allowed.
We are using NVIDIA certified hardware for GPU accelerated workloads.
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E2E Cloud GPUs have super simple one click support for NGC containers for deploying NVIDIA certified solutions for AI/ML/NLP/Computer Vision and Data Science workloads.
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