NVIDIA released the H100 last year which has already evolved into the market-leading enterprise GPU, being deployed in endless amounts of servers worldwide.

Using a GPU as a raid controller is not something you would expect to hear among a conversation with server administrators. A US startup, GRAID, has a product called SupremeRAID, the SR-1010. It can have over 100GBps of read throughput and over 19 million IOPS – pretty impressive!

As we approach the holiday season and the start of a new business year where procurement can be heavy, AMD has some good news according to a source with regard to their newest RX-7900 cards.

Modern GPU clouds take significant planning and execution, we are a systems integrator that has plenty of experience with all elements of HPC and we have seen way too many times that planning deficiencies are one of the major causes of problems down the line.

Modern GPU clouds take significant planning and execution, we are a systems integrator that has plenty of experience with all elements of HPC and we have seen way too many times that planning deficiencies are one of the major causes of problems down the line.

With the RTX 4090 being a massive success among commentators, RTX 4090 availability is running low. Being an NVIDIA partner, we get access to stock that otherwise wouldn’t be available to many outlets.

SuperMicro continues to push the boundaries in terms of GPU server deployments and form factors. SuperMicro recently announced an 8U GPU, which, in their words, is the “most advanced GPU server, incorporating eight NVIDIA® H100 Tensor Core GPUs”.

Building a GPU cloud contains many variables, hardware and software. You can think of it as building blocks.

Picking the correct GPU Cloud Computing setup is important given the cost and workloads involved when moving to the cloud. We shortlist our recommended building blocks for an optimized GPU cloud.

Building a private GPU cloud can be an extremely hard task and it’s a task that has many components. The first thing to identify is whether you need a fully networked GPU cloud or do your workloads just require an integrated GPU server?