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Volantis is securing capital to develop photonic memory architectures specifically designed to handle massive-scale AI inference for models exceeding 20 trillion parameters. This funding aims to address critical bandwidth bottlenecks by enabling throughput rates of up to 10,000 tokens per second per user, a key requirement for next-generation large language model deployment.
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Source coveringHPCwire
What this isA model's reading of the article and related coverage, written for aiqbench. Not the publisher's words.
Volantis Raises $88M Series A to Advance Photonic Memory Architecture
HPCwire1 min read
New photonic architecture will power AI inference for models exceeding 20 trillion parameters at up to 10,000 tokens per second per user SAN FRANCISCO, Oct. 1, 2026 — Volantis, a semiconductor company building a new category of AI inference system, today announced an $88 million Series A co-led by Lachy Groom and Abstract Ventures, with participation […] The post Volantis Raises $88M Series A to Advance Photonic Memory Architecture appeared first on HPCwire.
Read the full article at HPCwire
