NVIDIA HGX H100 GPU - For Powerful End-To-End AI Supercomputing!
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.
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NVIDIA H100 Data SheetProduct Enquiry Form
Technical Specifications of the Nvidia HGX H100 GPU
HGX H100
4-GPU
8-GPU
Form Factor
4x NVIDIA H100 SXM
8x NVIDIA H100 SXM
FP8 Tensor Core*
16 PFLOPS
32 PFLOPS
INT8 Tensor Core*
16 POPS
32 POPS
FP16/BF16 Tensor Core*
8 PFLOPS
16 PFLOPS
TF32 Tensor Core*
4 PFLOPS
8 PFLOPS
FP32
270 TFLOPS
540 TFLOPS
FP64
140 TFLOPS
270 TFLOPS
FP64 Tensor Core
270 TFLOPS
540 TFLOPS
Total Memory
320 GB HBM3
640 GB HBM3
GPU Aggregate Bandwidth
13 GB/s
27 GB/s
NVLink
Fourth generation
NVSwitch
N/A
NVLink 4 Switch
NVSwitch GPU-to-GPU Bandwidth
N/A
900 GB/s
Total Aggregate Bandwidth
3.6 TB/s
7.2 TB/s
Networking Bandwidth
0.4 TB/s
0.8 TB/s
Attention Performance
2X
1X
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.
Real-World Applications of HGX H100 cloud GPU
HGX H100 GPU are powerful graphics processing units that can be used in a variety of real-world scenarios. Here are some examples:
Benefits of E2E GPU Cloud
No Hidden Fees
No hidden or additional charges. What you see on pricing charts is what you pay.
Flexible Pricing
We are offering pay as you go model to long tenure plans. Easy upgrade allowed. Option to increase storage allowed.
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
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.
NVIDIA Certified Hardware
We are using NVIDIA certified hardware for GPU accelerated workloads.
Accelerate Machine Learning and Deep Learning Workloads with up to 70% cost-savings.
How E2E GPU Cloud is helping Cloud Quest in their gaming journey
Latency is a critical part of Cloud Gaming. E2E GPU Cloud provided ultra-low network latency to Cloud Quest users and enhanced their gaming experience.
What Our Customers Say
For over a decade, we have delighted our customers with stellar infrastructure and support.
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About Us
E2E Networks Ltd is an India-focused Cloud Computing Company, pioneering the introduction of contract-less cloud computing for Indian startups and SMEs. The E2E Networks Cloud has been employed by numerous successfully scaled-up startups such as Zomato, Cardekho, Healthkart, Junglee Games, 1mg, and many others. It played a crucial role in facilitating their growth from the startup stage to achieving multi-million Daily Active Users (DAUs).
Frequently Asked Questions (FAQs) on HGX 100 GB Cloud GPU
To get started with using the NVIDIA HGX H100 GPU server on E2E Cloud, simply create an account on MyAccount and select the HGX H100 server instance type. Once you have created an instance, you can begin deploying your workloads to the server.
E2E Cloud offers a variety of pricing options for the NVIDIA HGX H100 GPU server. You can pay by the hour, day, or month. We also offer discounted pricing for long-term commitments.
E2E Cloud offers cloud servers at very cost effective prices and our price-performance ratio remains unmatched. E2E provides an ideal environment for running AI/ML tasks. We also make it easy for you to launch your instances with a few basic steps.
Monthly prices shown are calculated using an assumed usage of 730 hours per month; actual monthly costs may vary based on the number of days in a month. Our price is exclusive of any taxes, all plan pricing is subject to 18% GST rate.
With effortless scalability, you have the freedom to adjust the number of GPU instances according to your workload demands. E2E Cloud's adaptable infrastructure guarantees access to resources that can handle sudden increases in demand during peak periods. This seamless and efficient scalability empowers you to effortlessly scale your machine learning tasks while ensuring optimal performance.