NVIDIA H100, H200, and B200: Choosing the Right GPU for Your AI Infrastructure

As AI models grow in size and complexity, choosing the proper GPU has become critical to scaling your infrastructure. In this post, we compare NVIDIA's H100, H200, and B200 GPUs—highlighting key differences in performance, pricing, and ideal use cases. Whether you're focused on inference, training, or building multi-GPU clusters, this guide will help you choose the right solution. We'll also cover how to access these GPUs through Arc Compute's hardware and cloud offerings.
Read More

Unveiling Considerations for GPU Maximization - What You Didn't Know Was Possible

What You Didn't Know Was Possible

November 21, 2023

Those working closely with GPUs understand that a fundamental challenge in harnessing them effectively is efficiently executing the complex interplay of threads while managing memory bandwidth.

Read More

Memory Hierarchy of GPUs

Everything you need to know about GPU memory

September 13, 2023

Memory hierarchies in GPUs are crucial for optimizing the performance of parallel computing tasks. These memory hierarchies consist of various types of memory with different characteristics to cater to the diverse requirements of GPU workloads.

Read More

The Truth Behind GPU Optimization

GPU Optimization Challenges Across Industries: From Thread Divergence to Memory Efficiency

September 13, 2023

Learn why GPUs, while incredibly powerful, face hidden challenges that impact their optimization. From thread divergence to memory efficiency, explore the nuanced world of GPU computing and how these challenges are overcome in real-world applications.

Read More

Addressing the Strained Supply of NVIDIA H100 SXM5 GPUs

How ArcHPC can help optimize your current GPU infrastructure

July 12, 2023

With the current boom in Generative AI, demand for enterprise graphics cards is at an all-time high, and NVIDIA is dominating the industry.

Read More

GPU Utilization & Total Cost of Infrastructure Ownership

How CTOs and HPC managers are increasing GPU utilization, lowering the TCO of their on-premise infrastructure

March 2, 2023

One of the primary issues faced across industries is the under-utilization of computing resources, especially GPUs. 

Read More

Our Latest GPU Systems

HGX-B200-Supermicro

NVIDIA B200 HGX Servers

The NVIDIA HGX B200 revolutionizes data centers with accelerated computing and generative AI powered by NVIDIA Blackwell GPUs. Featuring eight GPUs, it delivers 15X faster trillion-parameter inference with 12X lower costs and energy use, supported by 1.4 TB of GPU memory and 60 TB/s bandwidth. Designed for demanding AI, analytics, and HPC workloads, the HGX B200 sets a new performance standard.

View Options
Dell H200 System

NVIDIA H200 HGX Servers

The NVIDIA H200 was the first GPU to offer 141 gigabytes (GB) of HBM3e memory at 4.8 terabytes per second (TB/s). That’s nearly double the capacity of the NVIDIA H100 Tensor Core GPU with 1.4X more memory bandwidth.

View Options
8x H100 SXM5 Server

NVIDIA H100 HGX Servers

Tap into unprecedented performance, scalability, and security for every workload with the NVIDIA H100 Tensor Core GPU. This is NVIDIA's best-selling enterprise GPU and one of the most powerful available.

View Options