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Co-authored by Vignesh Rama
As firms progress by way of their digital transformation journeys, two tendencies have turn into clear:
- IT organizations are migrating to hybrid cloud environments from a number of areas with on-premises failover infrastructure architectures.
- Builders have accelerated the adoption of cloud-native applied sciences by transitioning to containers with Kubernetes because the de facto container administration commonplace.
As well as, many of those firms are working compute-intensive, container-based workloads — similar to AI coaching and inferencing, information analytics, and HPC — of their hybrid cloud environments. To assist speed up these workloads, a lot of our prospects flip to NVIDIA GPUs and the NVIDIA AI Enterprise software program suite.
As a result of Cisco is laser-focused on simplifying our prospects’ hybrid cloud and cloud-native transformations and supporting our prospects who select to deploy NVIDIA accelerated computing, Cisco is now offering NVIDIA-Licensed servers which are suitable with NVIDIA AI Enterprise, an entire software program suite for growing and deploying AI workloads.
NVIDIA-Certified Systems should conform to NVIDIA’s design greatest practices and move certification checks to validate the perfect system configurations for efficiency, manageability, scalability, and safety. With NVIDIA-Licensed Techniques, prospects can confidently select performance-optimized mainstream servers — backed by enterprise-grade assist — to run their accelerated computing workloads securely and optimally.
In assist of our UCS prospects who deploy NVIDIA GPUs, Cisco has licensed its first UCS server — the Cisco UCS C240 M6 Rack Server — with the NVIDIA A100 Tensor Core GPU. Further {hardware} configurations for NVIDIA-Licensed Techniques are on Cisco’s roadmap.
As a lot of our UCS prospects flip to NVIDIA accelerated computing and the NVIDIA AI Enterprise software program suite, they will relaxation assured that Cisco is supporting them with NVIDIA-Licensed Techniques.
Keep tuned for extra information on our collaboration with NVIDIA within the close to future.
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