NVIDIA and AMD are both leading manufacturers of GPUs, which are used for a variety of tasks, including AI, machine learning and Deep Learning workloads. NVIDIA GPUs are generally considered to be better for AI workloads than AMD GPUs, due to their higher performance and better support for AI libraries and frameworks. However, AMD GPUs are becoming more competitive in the AI market, and they may be a good option for budget-conscious users.

Any business dealing with video and audio content production, streaming, and distribution would agree that video transcoding is a crucial aspect of their operations. The process of converting media content from one format to another can take up a lot of time and resources. Fortunately, thanks to the latest technological advancements, transcoding can now be done with ease and efficiency using GPUs.

JedAI provides a collaborative development environment for Data Science teams to experiment, train, fine-tune, and deploy LLMs or GenAI workloads across the enterprise and in the Cloud, on NVIDIA® powered GPUs.

SuperMicro offers a wide range of GPU servers that are designed for high performance and reliability. If you are looking for a high-performance, reliable, and scalable GPU server, SuperMicro is a great option.

ICC will showcase a range of NVIDIA accelerated solutions for Media, Entertainment, and Gaming, including an L40-based Transcoding server, Virtual Production Server, RTX 6000 Production server, and VDI solutions. Our latest loop-cooled AMD-powered workstations, housed in an impressive XPG chassis are designed for design, modeling, and simulation.

The NVIDIA Grace™ Hopper™ architecture brings together the groundbreaking performance of the NVIDIA Hopper GPU with the versatility of the NVIDIA Grace CPU in a single superchip, connected with the high-bandwidth, memory-coherent NVIDIA® NVLink® Chip-2-Chip (C2C) interconnect.

Interest in NVIDIA Enterprise Systems and the latest H100 GPU is at an all-time high. Having the right GPU system is imperative and NVIDIA has certified many different types of systems - which are available from ICC.

As the NVIDIA H100 Tensor Core GPU becomes more and more popular with people looking to accelerate their workloads, we’ve reviewed it against the previous generation A100 GPU to provide key features and information.

The NVIDIA H100 is a major evolution in GPU technology. With performance gains of up to 30X over the previous generation NVIDIA A100 GPU, innovative AI applications that were previously not possible will now be able to be put into production environments. AI training times have been cut by orders of magnitude.