Blistering Performance for AI Workflows and More Budget for GPUs

Today’s AI servers consume and analyse data at much higher rates than many traditional storage solutions can deliver, resulting in low GPU utilisation and dramatically extending training times, decreasing productivity. Most AI projects evolve into small to mid-scale GPU clusters and not the super-clusters found in HPC environments. However, to gain the performance needed to keep the GPUs busy and fed with data, users often feel the need to choose between feature-rich enterprise-class storage and parallel filesystems designed for HPC. Not any more - PEAK:AIO has developed a software platform from the ground up for AI workloads to complement the NVIDIA DGX, HGX and EGX range of AI appliances. Delivering ultra-low latency and tremendous bandwidth at a price which allows more investment to be made on GPU resource and less on legacy storage - ensuring your project’s funds are better spent and your team is more productive.

"PEAK:AIO simply allowed KCL and the NHS trials to invest more funds in GPU servers where they provide for the best outcome."

Dr Jorge Cardoso
Kings College London

"A key focus of PEAK:AIO was to not to simply repurpose existing storage technology and shoehorn it into an AI solution, we completely rebuilt the storage stack from the ground up to match the requirements of real-life AI projects. It was very clear, cost of legacy storage is prohibitive for most mid-scale GPU clusters, the balance of funds must be focused on GPU and not storage."

Mark Klarzynski
CEO & Founder