Synopsys Inc’s Post

Faster chip #verification is totally possible on the #cloud. Read how Achronix Semiconductor Corporation achieved 5x faster physical verification in today’s Synopsys Inc blog post. https://lnkd.in/gSAcss3W

Here are a few reasons to consider emulation with Synopsys ZeBu cloud: “When we wanted to shift to a stronger emulation machine, the flexibility of ZeBu Cloud helped us to easily do it and benefit from the speed and the number of gates supported,” said Kasus. “And the Synopsys support team can log in to easily see what is happening and work in parallel with us when we need the assistance.” The ramp up was quick, taking only a couple of weeks. As they developed their 7nm chip, the team easily and quickly expanded the capacity of their emulation resources a few times. Without a cloud-based solution, it would have been difficult to meet an aggressive time-to-market target. “Scaling to more emulation servers on the cloud takes a couple of weeks, but had we needed to do this with on-prem resources, it would take months to get new machines in,” said Kasus. The full story with Neureality is here:

As hyperscale datacenter operators invest in chip design, the market wonders about evolving competitive dynamics. These chips likely improve supply chain diversity and platform costs for datacenter infrastructure and workloads.

New to OCI AI Infrastructure: Midrange Bare Metal Compute with NVIDIA L40S and VMs with NVIDIA H100/A100 #OCI #Oracle #Cloud #Infrastructure #NVIDIA #H100 #A100 #L40S #VM

Cuff is currently geeking out about new 7m wires. They sure beat the old miniSAS clunky 3m copper monsters. Mark my words, as an infrastructure nerd, the innovation in wires is where all the real #cxl and fancy memory pooling action is going to be at. East-west PCIe and distance #composable takes another baby step forward. It’s always been about the hidden “boring” infrastructure, oh and the retimers and the SerDes folks. $/port pricing not disclosed. 🤣 https://lnkd.in/dq4fjhTT #hpc #ai #cloud

New to Oracle #Cloud #AI Infrastructure: #Midrange #OCI Bare Metal Compute with NVIDIA L40S and VMs with NVIDIA H100/A100: https://lnkd.in/gx9S2Na3

Accelerate AI and HPC with Vultr and AMD Instinct MI300X GPU Vultr and AMD team up to elevate #AI and #HPC workloads with AMD Instinct™ MI300X GPUs and the ROCm™ software ecosystem. This collaboration enables businesses across industries to tackle complex AI challenges, optimize performance, and reduce operational costs. Key Benefits: 🔹 Maximize AI and HPC Performance - Leverage AMD Instinct MI300X on Vultr’s cloud to accelerate decision-making and handle large-scale data efficiently. 🔹 No Vendor Lock-in - Flexibly choose your tech stack with Vultr’s composable infrastructure and AMD ROCm™ open software ecosystem. 🔹 AI Inference Made Simple - Scale effortlessly with Vultr’s Serverless Inference and AMD GPUs. 🔹 Sustainable Efficiency - Reduce costs and energy use with AMD’s power-efficient GPUs and Vultr’s global network. Discover how Vultr and AMD can accelerate your AI and HPC:

GPUs are the hottest commodity right now, and hyperscalers like Amazon Web Services (AWS), Microsoft Azure, and Google Cloud are investing billions of dollars each quarter in cloud infrastructure to be able to meet demand. However, these cloud providers are not the only ones stacking thousands of GPUs. Sensing the opportunity, the past few years have seen a bunch of new cloud providers hosting GPUs on their platforms. Their USP? They are (arguably) cheaper than hyperscalers. In this free report (available via login using your organizational email), Owen Rogers and I examine where GPU cloud providers fit in the larger scheme of things and what the future holds for them. https://lnkd.in/gSMwnAap

What is the outlook for GPU Cloud providers? Find out here!

Interesting to see massive deployment of AMD chips for AI datacenter.