Tenstorrent Sets New Performance Records, Launches TT- Ascalon S, and Expands Across Japan

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At TT-Deploy JP, Tenstorrent set new records on language and video models, launched TT-Ascalon S RISC-V CPU IP for agentic AI, and joins ai&’s sovereign heterogenous inference platform with Tenstorrent Galaxy™ superclusters, a general-purpose system that can drop in beside GPUs or stands alone.

Aug. 06, 2026 –

Tenstorrent, the AI compute company led by CEO Jim Keller, today at TT-Deploy JP set new performance records across language and video, launched TT-Ascalon S RISC-V CPU IP for agentic AI, and detailed its largest deployment to date, a general-purpose, heterogenous AI build in Japan. Each rests on the same foundation: a single architecture that runs major AI workloads faster than GPUs and scales from a licensable core to a Tenstorrent Galaxy™ supercluster over standard Ethernet.

That makes Tenstorrent’s Networked AI architecture a different kind of solution – open, general-purpose, flexible for heterogeneous or stand alone deployments, and backed by AI experts – that can withstand the constant change in the AI industry.

New industry records from language to video

Continuing to build on previous performance, Tenstorrent shared new LLM and video with lip-sync and audio benchmarks. On the latest models enterprises are deploying right now, Tenstorrent Galaxy Blackhole superclusters post:

• Kimi K2.6: 900 tokens/second/user, 3x faster than GPUs
• DeepSeek-R1-0528 671B: 400+ tokens/second/user, up from 350+ at TT-Deploy SF
• LTX 2.3 Fast: roughly 6-second video generation at 144 frames, 1080p, with audio and lip-sync, 4x faster than GPUs

Different model families, one architecture, with capacity that grows near-linearly as Galaxies are added. Tenstorrent’s performance enables enterprises to scale premium inference workloads efficiently.

TT-Ascalon S: Tenstorrent expands the TT-Ascalon portfolio with TT-Ascalon S suited to emerging agentic AI workloads

Launching today at TT-Deploy JP, Tenstorrent announced TT-Ascalon S, a compute-dense RISC-V CPU for agentic AI. Agentic AI leans on the CPU in a new way, gated less by raw compute than by orchestration, I/O, and latency, and TT-Ascalon S is built for it...

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