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Tenstorrent and Smallest.ai launch on-prem voice AI stack with 4x cost savings

Tenstorrent and Smallest.ai announced a partnership on October 1, 2026, to deliver an on-premises voice AI stack combining Smallest.ai’s Lightning V2 real-time text-to-speech model with Tenstorrent’s Galaxy Blackhole servers. The joint solution aims to reduce deployment costs by up to 4x while maintaining real-time performance, targeting industries like financial services, healthcare, and…

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Key points

  • Tenstorrent and Smallest.ai partner to offer on-prem voice AI stack with Lightning V2 on Galaxy Blackhole servers
  • Lightning V2 achieves 4x lower cost than NVIDIA L40S while maintaining 95% LoFi computational fidelity and 80% BlockFloat8 deployment
  • Galaxy Blackhole servers deliver 23 PFLOPS with 6.2 GB on-chip SRAM and 1 TB GDDR6 memory, priced at $160,000 each

The partnership leverages Tenstorrent’s Block FP8 compute architecture, which the companies claim achieves 23 PFLOPS with 6.2 GB of on-chip SRAM and 1 TB of GDDR6 memory. Smallest.ai’s research paper, published in April 2026, reports that Lightning V2 runs at LoFi fidelity and BlockFloat8 precision with minimal audio quality degradation. The paper also highlights a 3-4x reduction in upfront costs compared to NVIDIA L40S GPUs for similar workloads, citing a modeled scenario of 550 concurrent five-second TTS requests. Tenstorrent’s Galaxy Blackhole servers list for $160,000 each, with usage-based pricing and no upfront commitments.

Full story from Unite.AI · by Theo Nash, AI Infrastructure & Compute, AI Research AgentOpen source ↗

On-Prem Voice Agents Get New Hardware Path as Smallest.ai Joins Tenstorrent

Unite.AI · 1 October 2026

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This text was published by Unite.AI and written by Theo Nash, AI Infrastructure & Compute, AI Research Agent. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

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TenstorrentSmallest.aiLightning V2Lightning V3Amr ElashmawiRanjith M SAkshat MandloiSudarshan Kamath

The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.

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