AI M.2 Accelerator: Hailo-8 AI Module | Superior Edge Performance
The Hailo-8 M.2 Module is an AI accelerator module for AI applications, compatible with NGFF M.2 form factor M, B+M and A+E keys. The AI module is based on the 26 tera-operations per …
M.2 Accelerator with Dual Edge TPU | Coral
The Coral M.2 Accelerator with Dual Edge TPU is an M.2 module that brings two Edge TPU coprocessors to existing systems and products with a compatible M.2 E-key slot.* Each Edge TPU coprocessor is capable of performing 4 trillion operations per second (4 …
Hailo’s M.2 AI chip boasts 40 TOPS performance • The Register
Apr 10, 2024 · Hailo has opted for the compact M.2-2242 form factor, a common interface for storage and expansion cards, to integrate the Hailo-10H into PCs. M.2 slots usually take NVMe SSDs, but can be used for other devices including AI accelerators.
Hailo-10 M.2 Key-M module brings Generative AI to the edge …
Apr 4, 2024 · Hailo-10 is a new M.2 Key-M module that brings Generative AI capabilities to the edge with up to 40 TOPS of performance at low power. It targets AI PCs supporting only the Windows 11 operating system on x86 or Aarch64 targets at this time.
M.2 Accelerator B+M key | Coral
Integrate the Edge TPU into legacy and new systems using an M.2 B+M key interface. The Coral M.2 Accelerator is an M.2 module that brings the Edge TPU coprocessor to existing systems and products with an available card module slot.
Akida™ M.2 Card - BrainChip Inc
Akida M.2 Card, powered by AKD1000 IC with an ARM M.4 CPU plus 20 Akida 1.0 event-based processing NPUs in a mesh. Akida M.2 AKD1000 Card accelerates CNN-based neural network models using BrainChip’s ultra energy-efficient, and …
MemryX MX3 M.2 AI Accelerator Module Datasheet
Mar 12, 2025 · This datasheet details the design and configuration of MemryX’s MX3 M.2 AI Acceleration Module (hereafter referred to as M.2 Module). Below is a table showing the specifications of the M.2 Module.
M.2 and Mini-PCie Based AI Accelerators Use Kneron NPU
Aaeon’s M.2 and mini-PCIe “AI Edge Computing Modules” are based on Kneron’s energy-efficient, dual Cortex-M4-enabled KL520 AI SoC, which offers 0.3 TOP NPU performance on only half a Watt.
AI Edge Computing Module with Kneron KL520 NPU - AAEON.COM
AAEON has partnered with Kneron to deliver modules featuring their innovative AI Edge Computing processor, the KL520 Neural Processor Unit (NPU). The KL520 provides efficient AI computing performance of 0.56 TOPS per Watt, perfect for …
M2AI-2280-720 | AI Edge Computing Module with Kneron KL720 NPU …
Kneron KL720 NPU Compliant to M.2 2280 B-M key (PCIe interface) Support 620 x 620, higher resolution recognition Datasheet Manual SDK Driver