Specifications

Product

Tenstorrent Wormhole n150s AI accelerator PCIe card

Part Number

TC-02001

Architecture

Wormhole, RISC-V based Tensix cores

Tensix Cores

72

On-chip SRAM

108 MB distributed SRAM

Memory

12 GB GDDR6, 288 GB/s bandwidth

TDP

160 W

Host Interface

PCIe Gen4 x16

Software Stack

TT-Metalium, TT-NN, TT-Forge (open source)

Model Support

LLMs, CNNs and vision transformers via TT-NN / TT-Forge

Configuration

Single Wormhole ASIC (n150) — the n300 card carries two ASICs

Card Family

Wormhole PCIe cards: n150d / n150s / n300d / n300s

Target Workloads

AI inference and model development at the edge/desktop

Availability

In stock — quote for volume

Overview

The Tenstorrent Wormhole n150s (order code TC-02001) is a single-ASIC PCIe accelerator card built around 72 Tensix cores — RISC-V based compute tiles with their own vector and matrix engines. Tenstorrent publishes the whole Wormhole PCIe card family openly, and the n150s is the single-chip, actively-cooled member.

The design trades on memory density close to compute: 108 MB of distributed on-chip SRAM sits next to the Tensix cores, backed by 12 GB of GDDR6 at 288 GB/s and a 160 W envelope. For inference workloads the open-source TT-Metalium / TT-NN / TT-Forge stack lets teams write and tune their own kernels rather than depend on a closed compiler.

QS Compute supplies Wormhole cards alongside the Blackwell-generation Tenstorrent parts and the mainstream NVIDIA and AMD accelerators, so customers can build heterogeneous inference nodes.

Key Benefits

72 Tensix RISC-V cores with 108 MB SRAM keep activations on-chip for LLM and vision inference. Open-source TT-Metal stack avoids vendor lock-in and lets teams tune kernels. 160 W / single slot-class power enables dense edge inference nodes. 12 GB GDDR6 at 288 GB/s holds larger models and batched weights.

Applications

Edge and on-premises LLM inference; vision and transformer inference nodes; research and university AI clusters; heterogeneous inference servers needing low power per token; and model-development workstations using the open TT-Metal stack.

Request a Quote — TENSTORRENT WORMHOLE N150S — 72-CORE RISC-V AI ACCELERATOR PCIE CARD

QS Compute — global B2B supply of AI computing hardware, edge AI systems and accelerators. Volume pricing, 15-day sample lead time.

Get Your Quote →

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