IPU-POD16 opens up a new world of machine intelligence innovation. Ideal for exploration and experimentation, the IPU-POD16 is the perfect new tool to develop concepts and pilots consolidating both training and inference in one affordable system.
MSRP: FROM $149,995VIEW PRODUCTBOOK A TEST DRIVEKEY FEATURES
Designed specifically for the communication requirements of AI workloads at scale, IPU-Fabric is Graphcore’s innovative low-latency, jitter-free interconnect using industry standard IT equipment. It supports highly efficient, deterministic, all-to-all IPU interconnect across your system regardless of size.
Opening up entirely new opportunities for future innovation with better performance today
Designed for world-class performance for both training and inference in one affordable systems
Unparalleled flexibility and built to scale, IPU-POD16 is your core building block for AI at supercomputing scale
4 petaFLOPS AI compute: best for traditional computer vision, best for unsupervised language applications, best for future innovation
The Poplar SDK is a complete software stack, which was co-designed from scratch with the IPU, to implement our graph toolchain in an easy to use and flexible software development environment. At a high level, Poplar is fully integrated with standard machine learning frameworks so developers can port existing models easily, and get up and running out-of-the-box with new applications in a familiar environment.
IPU-POD16 DA is designed to get you up and running in no time. A turnkey system, featuring IPU-M2000s directly attached to an approved host server ready for installation in your datacenter. Extensive documentation and support is provided both by AI experts at Graphcore and our elite partner network.
To help our clients make informed decisions about new technologies, we have opened up our research & development facilities and actively encourage customers to try the latest platforms using their own tools and if necessary together with their existing hardware. Remote access is also available
The annual GPU Technology Conference is returning once again in San Jose, California. See what awaits you!