In a previous post, we had discussed how to integrate Vector Wirepod with many OpenAI Compatible providers. This post discusses the integration with a new player in this space, Sambanova.
Like Groq and Cerebras, Sambanova offers its cloud based on its custom hardware and chip called the Reconfigurable Data Unit (RDU). The RDU is specifically designed for Machine Learning (ML ) workloads because it facilitates moving data from the output of one computation unit to flow into the input of another computation within the chip. This is different from nVidia GPUs, where the computations would have to be programmed separately and data shuffled in and out of the GPUs. This leads to some unique advantages such as being able to provide a very high token rate and consume a very low power footprint.
Wirepod + Sambanova
This post will help you integrate Wirepod’s knowledge graph with Sambanova’s cloud. You can try this for FREE because Sambanova offers a $5 credit to all new signups, and another $5 in…