VSORA today unveiled Jotunn, an all-in-one single-chip family to provide a massive jump in performance for Generative AI inferencing processing challenges.
“As ChatGPT and other generative AI continue reaching a fevered pitch, the semiconductor industry needs to step up with supporting hardware,” remarks Khaled Maalej, VSORA founder and CEO. “That’s what we intend to do with our single-chip architecture to trounce the memory wall and accelerate generative AI implementations.”
“The VSORA ChatGPT-on-chip architecture can unleash the unbounded potential of Generative AI such as ChatGPT,” states Nicolas von Bülow, managing partner at Clipperton Finance, a VSORA financial adviser. “It will spearhead a paradigm shift in the semiconductor industry.”
Jotunn can accelerate the proliferation of low-cost, low-power generative AI implementations whose monthly visit numbers have increased geometrically to close to two billion. Current leading processors idle almost 97% of the time waiting for processing data when implementing GPT-3 or GPT-4.
ChatGPT, based on GPT-3.5, can be handled by Jotunn4 entirely on-chip, dropping power consumption by more than an order of magnitude versus its competitors. Jotunn4 improves the cost effectiveness of a GPT-4 solution by more than 150 times compared to its closest competitor.
The Jotunn4 solution provides 1.6 petaflops with efficiencies of more than 50% for GPT-3.5 and GPT-4. Typically, efficiencies currently range around 2-4%. Further, Jotunn4 has 192 GB of on-chip memory and consumes less than 100W in a 45 x 45 mm package.
Initially designed as a low-power, low-cost and high-performance chip architecture for L3-L5 autonomous driving vehicles, VSORA extended its unique and patented architecture to accelerate GenAI applications.
Algorithm implementation is quick and easy, utilizing the VSORA high-level language and graph compiler development flow. The future-proof VSORA architecture is algorithm agnostic, allowing existing as well as new algorithms to be run on any VSORA chip.
