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Cards
PCIe AI Dev Card

Grayskull™ e75
$599

The e75 DevKit is an introductory inference-only hardware kit, coupled with two distinct software approaches: TT-Buda (top-down approach) and TT-Metalium (bottom-up approach). This combination is designed to provide a foundational platform for AI experimentation and development.

Purchase Grayskull
  • Low profile, half-length PCIe Gen 4 board with a single Grayskull™ processor, our limited-availability entry-level board operating at 75W

  • The Grayskull™ DevKit offers a range of capabilities, tailored to suit the needs of ML developers seeking alternatives to traditional GPUs. Our hardware supports a wide array of models, ensuring versatility in your AI projects.

    TT-Buda: run models right away

    Great for production customers who want to get models up and running with ease. They want flexibility, but don’t have time to program new operations or contact support every time something changes.

    TT-Metalium: Open Access to Tenstorrent Hardware & Software

    Great for development customers who want to customize their models, write new ones or even run non-machine learning code. No black boxes, encrypted APIs or hidden functions.

  • While Grayskull™ supports a wide range of models, here are five key models that highlight its capabilities:

    • BERT: Ideal for natural language processing tasks.
    • ResNet: A classic choice for image recognition.
    • Whisper: Exceptional for speech recognition and translation.
    • YOLOv5: Excellent for real-time object detection.
    • U-Net: Highly effective for image segmentation.

    For a comprehensive list of all supported models, please visit our full model support page.

    • Architecture: Tenstorrent Grayskull™
    • Tensix Cores: 96
    • AI Clock: 1 GHz
    • SRAM: 96MB
    • Memory: 8GB LPDDR4 @ 102.4 GB/sec
    • System Interface: PCIe 4.0 x16
    • Total Board Power: 75W
    • Dimensions (w/o Cooling Kit): 18mm x 167.5mm x 69mm
    • Dimensions (w/ Cooling Kit): 18mm x 257mm x 98mm
    • CPU:  x86_64 architecture
    • Motherboard: PCI Express 4.0 x16 slot, single width
    • Memory: 64GB
    • Storage: 100GB (≥2TB recommended)
    • Power Connectors: PCIe 6-pin
    • Operating System: Ubuntu version 20.04 (Focal Fossa)
    • Internet Connection: Required for driver and stack installation
Grayskull™ e150
$799

The e150 DevKit is an introductory inference-only hardware kit, coupled with two distinct software approaches: TT-Buda (top-down approach) and TT-Metalium (bottom-up approach). This combination is designed to provide a foundational platform for AI experimentation and development.

Purchase Grayskull
  • Standard height, 3/4 length PCIe Gen 4 board with one Grayskull™ processor, our solution for balancing power and throughput, operating at up to 200W

  • The Grayskull DevKit offers a range of capabilities, tailored to suit the needs of ML developers seeking alternatives to traditional GPUs. Our hardware supports a wide array of models, ensuring versatility in your AI projects.

    TT-Buda: run models right away

    Great for production customers who want to get models up and running with ease. They want flexibility, but don’t have time to program new operations or contact support every time something changes.

    TT-Metalium: Open Access to Tenstorrent Hardware & Software

    Great for development customers who want to customize their models, write new ones or even run non-machine learning code. No black boxes, encrypted APIs or hidden functions.

  • While Grayskull supports a wide range of models, here are five key models that highlight its capabilities:

    • BERT: Ideal for natural language processing tasks.
    • ResNet: A classic choice for image recognition.
    • Whisper: Exceptional for speech recognition and translation.
    • YOLOv5: Excellent for real-time object detection.
    • U-Net: Highly effective for image segmentation.

    For a comprehensive list of all supported models, please visit our full model support page.

    • Architecture: Tenstorrent Grayskull™
    • Tensix Cores: 120
    • AI Clock: 1.2 GHz
    • SRAM: 120MB
    • Memory: 8GB LPDDR4 @ 118.4 GB/sec
    • System Interface: PCIe 4.0 x16
    • Total Board Power: 200W
    • Dimensions (w/o Cooling Kit): 36mm x 260mm x 111mm
    • Dimensions (w/ Cooling Kit): 36mm x 399mm x 114mm
    • CPU:  x86_64 architecture
    • Motherboard: PCI Express 4.0 x16 slot, dual width
    • Memory: 64GB
    • Storage: 100GB (≥2TB recommended)
    • Power Connectors: PCIe 6+2-pin and PCIe 6-pin
    • Operating System: Ubuntu version 20.04 (Focal Fossa)
    • Internet Connection: Required for driver and stack installation
Networked AI Cards

Wormhole n150

3/4 Size PCIe card

  • Standard height, 3/4 length PCIe Gen 4 board with one Wormhole processor, our solution for balancing power and throughput, operating at up to 160W

    • Architecture: Tenstorrent Wormhole
    • Tensix Cores: 72
    • AI Clock: 1 GHz
    • SRAM: 108MB
    • Memory: 12GB GDDR6 @ 288 GB/sec
    • System Interface: PCIe 4.0 x16
    • Total Board Power: 160W
    • Dimensions (w/o Cooling Kit): 36mm x 254mm x 111mm
    • Dimensions (w/ Cooling Kit): 36mm x 393.5mm x 114mm
    • CPU:  x86_64 architecture
    • Motherboard: PCI Express 4.0 x16 slot, dual width
    • Memory: 64GB
    • Storage: 100GB (≥2TB recommended)
    • Power Connectors: 4+4-pin EPS12V
    • Operating System: Ubuntu version 20.04 (Focal Fossa)
    • Internet Connection: Required for driver and stack installation
More Information
Wormhole n300

3/4 Size PCIe card

  • Standard height, 3/4 length PCIe Gen 4 board with two Wormhole chips attached, operating at up to 300W

    • Architecture: Tenstorrent Wormhole
    • Tensix Cores: 128
    • AI Clock: 1 GHz
    • SRAM: 192MB
    • Memory: 12GB GDDR6 @ 288 GB/sec
    • System Interface: PCIe 4.0 x16
    • Total Board Power: 300W
    • Dimensions (w/o Cooling Kit): 36mm x 254mm x 111mm
    • Dimensions (w/ Cooling Kit): 36mm x 393.5mm x 114mm
    • CPU:  x86_64 architecture
    • Motherboard: PCI Express 4.0 x16 slot, dual width
    • Memory: 64GB
    • Storage: 100GB (≥2TB recommended)
    • Power Connectors: 4+4-pin EPS12V
    • Operating System: Ubuntu version 20.04 (Focal Fossa)
    • Internet Connection: Required for driver and stack installation
More Information