NVIDIA HGX H100 Cloud GPU: For powerful end-to-end AI supercomputing!

NVIDIA’s HGX H100 GPU is the most powerful end-to-end supercomputer platform. Use now with E2E Cloud!

NVIDIA HGX H100 combines the power of eight H100 GPUs with high-speed interconnects, thus forming one of the most powerful servers. It can host up to eight H100 Tensor Core GPUs and four third-generation NVSwitch. Each GPU has several fourth generation NVLink ports and connects to all four NVSwitches. Thus, it supports configurations with up to eight GPUs, providing 640 GB of GPU memory with an aggregate memory bandwidth of 24 terabytes per second. With an astonishing 32 petaFLOPS of performance, it stands as the most powerful accelerated scale-up server platform for AI and HPC.  

It was developed as a solution to the lack of advanced computing platforms for artificial intelligence, high-performance computing, and data analytics. This powerful GPU delivers extremely high performance with low latency and integrates a full stack of capabilities. 

Read more about H100 here

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Specs

HGX H100

268 TFLOPS
FP64
535 TFLOPS
FP32
640GB
GPU Memory
27TB/s
GPU Memory Bandwidth

Unprecedented Acceleration At Every Scale

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:

Fourth-generation NVLink and NVLink Switch System

The inclusion of fourth-generation NVLink technology and NVLink Switch System facilitates efficient GPU-to-GPU interconnect and collective communication, optimizing the performance and scalability of AI and HPC workloads.

NVIDIA H100 Tensor Core GPUs

With eight H100 GPUs, HGX H100 has 640 GB of GPU memory and 24 TB/s of aggregate memory bandwidth for unprecedented acceleration.

NVIDIA Spectrum™-4 switches and BlueField-3 DPUs

Equipped with NVIDIA Spectrum™-4 switches and BlueField-3 DPUs, Spectrum-X ensures a reliable and predictable outcome for a large number of concurrent AI tasks. Spectrum-X enables advanced cloud multi-tenancy and zero-trust security. This is achieved by maximizing resource utilization and providing performance isolation. Spectrum-X empowers advanced cloud multi-tenancy and enhances zero-trust security.

NVLink

The fourth-generation NVIDIA NVLink provides a three time 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.

The HGX H100 Cloud GPU: Your Gateway to Accelerated Computing

Plan
vCPUs
Dedicated RAM
Disk Space
Hourly Billing
Weekly Billing
Monthly Billing
(Save 20%)
4xH100
240 vCPUs
1800 GB
14000 GB SSD
₹2100/hr
₹2,70,000/week
₹15,33,000/mo
8xH100
200vCPUs
1800 GB
28000 GB SSD
₹4200/hr
₹5,40,000/week
₹30,66,000/mo

Why Choose HGX NVIDIA H100 GPU?

The NVIDIA HGX H100 GPU is a powerful and versatile computing platform that can accelerate a wide range of workloads, from small enterprise applications to exascale HPC simulations to trillion-parameter AI models. It is a go-to choice for a variety of reasons, including its:

1. Transformer Engine

The H100 GPU features a Transformer Engine with FP8 precision, providing up to 4X faster training for large language models, such as GPT-3 175B.

2. NVLink Switch System:

The NVLink Switch System allows quick scaling of multi-GPU input/output (IO) across different servers, reaching speeds of up to 900 gigabytes per second. It can support clusters of up to 256 H100 GPUs, providing 9 times the bandwidth of InfiniBand HDR.This makes it possible to create incredibly powerful AI and HPC clusters that can accelerate a wide range of workloads.

3. Confidential Computing and DPX Instructions:

HGX H100 offers confidential computing capabilities and incorporates DPX instructions, which accelerate dynamic programming algorithms by 7X. This combination ensures data security and real-time processing for applications like DNA sequence alignment and protein structure prediction.

4. Multi-Instance GPU (MIG) 

The availability of MIG allows multiple users or workloads to run concurrently on a single GPU, enhancing resource sharing and isolation, which is particularly valuable in multi-tenant cloud environments.

5. NVIDIA NGC container registry 

The HGX H100 comes with access to the NVIDIA NGC container registry, which provides a wide range of pre-optimized and certified AI and HPC containers. This makes it easy to deploy and run AI and HPC workloads on the HGX H100.

         

Real-world Applications of H100 Cloud GPU

H100 Cloud GPUs are powerful graphics processing units that can be used in a variety of real-world scenarios. Here are some examples:

Genomic and Medical Research

The security features and DPX instructions of HGX H100 cater to the needs of genomics and medical research. Its ability to accelerate dynamic programming algorithms by 7X supports real-time DNA sequence alignment, protein structure prediction, and precision medicine applications.

Large Language Model Training

HGX H100 is well-suited for training large language models, such as GPT-3 175B, due to its Transformer Engine with FP8 precision. This accelerates the development of sophisticated language models, benefiting applications in natural language processing and understanding.

High-Performance Computing (HPC)

HGX H100's substantial double-precision performance, achieved through double-precision Tensor Cores, makes it an excellent choice for HPC applications. The TF32 precision and efficient GPU interconnects allow for high throughput in single-precision matrix operations, benefiting scientific simulations, 3D FFT, and more.

Natural language processing (NLP)

The HGX H100 can be used to accelerate NLP workloads such as machine translation, text summarization, and sentiment analysis. The NVIDIA Transformer Engine can significantly improve the performance of transformer-based neural networks, which are widely used for NLP tasks. For example, the HGX H100 can train a transformer-based neural network for machine translation up to 4x faster than the previous generation HGX platform.

Accelerate Machine Learning and Deep Learning Workloads with up to 70% cost-savings.

Benefits of E2E GPU Cloud

No Hidden Fees

No hidden or additional charges. What you see on pricing charts is what you pay.

NVIDIA Certified Elite CSP Partner

We are NVIDIA Certified Elite Cloud Service provider partner. Build or launch pre-installed software Cloud GPUs to ease your work

NVIDIA Certified Hardware

We are using NVIDIA certified hardware for GPU accelerated workloads.

Flexible Pricing

We are offering pay as you go model to long tenure plans. Easy upgrade allowed. Option to increase storage allowed.

GPU-accelerated 1-click NGC Containers

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.

How E2E GPU Cloud is helping Cloud Quest in their gaming journey

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