Bring your next-gen products to life with the world’s most powerful AI computers for energy-efficient autonomous machines.

NVIDIA® Jetson Thor™ series modules give you the ultimate platform for physical AI and robotics, delivering up to 2070 FP4 TFLOPS of AI compute and 128 GB of memory with power configurable between 40 W and 130 W. They deliver over 7.5x higher AI compute than NVIDIA AGX Orin™, with 3.5x better energy efficiency.

AMD FPGAs and adaptive SoCs have enabled sensing, safety, and control systems in robots for decades. Now AMD Kria™ AI solutions extend these capabilities to the robot brain, combining real-time CPU control, with fast GPU and NPU inference to power agentic robotics and other physical AI applications.

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

The Blackhole™ p150a features Tenstorrent’s high performance Blackhole™ Tensix Processor, with 140 Tensix Cores and 32 GB of GDDR6, operating at up to 300W in an active-cooled form factor geared for desktop workstations.

The game-changing AI accelerator that delivers 200 TOPS of AI compute power in an ultra-efficient chip. Engineered to bring advanced AI capabilities to laptops, workstations, and other compute appliances, EN100 enables a new era of personalized AI at the edge.

With 1 PTOPS and 128GB of onboard memory, bring data center AI performance to your desktops, workstations, and on-prem servers with GPU-level compute capacity at a fraction of the cost and power consumption. Ideal for professional AI applications in secure and sovereign multi-user environments.

SAKURA-II PCIe Cards are high-performance, up to 120 TOPS, with 32 GB of memory edge AI accelerator solutions architected to run the latest vision and Generative AI models with market-leading energy efficiency and low latency.

SAKURA-II M.2 modules are high-performance, 60 TOPS, edge AI accelerators architected to run the
latest vision and Generative AI models with market-leading energy efficiency and low latency.


Providing best-in-class performance, the M.2 AI accelerator of Axelera AI is the best solution for AI acceleration. Powered by a single Metis AIPU and containing 1 GB DRAM dedicated memory, it minimizes power consumption and simplifies integration. It opens the door for every application to benefit from AI processing.

Axelera AI has created a range of PCIe accelerators for customers and developers seeking more performance. The Axelera Edge 232p is a half-height, half-length (HHHL) PCIe card powered by one Europa AIPU, and can deliver up to 629 TOPS

The Qualcomm® Cloud AI 100 Ultra is built to optimize performance for Generative AI inferencing, including Large Language Models (LLMs). This solution combines performance and cost-efficiency, delivering market-leading performance/dollar and performance/watt, with the lowest TCO (Total Cost of Ownership) available.

Offering leadership through lower precision MXFP6 and MXFP4 data types, more HBM3E memory, and an open, low-cost software ecosystem. All with the focus on simplifying AI deployments.

Powerfully efficient AI inference for enterprise and cloud. RNGD delivers high-performance LLM and multimodal deployment capabilities while maintaining a radically efficient 180W power profile.

The MM1076 M.2 M key card enables high-performance, yet power-efficient AI inference for edge devices and edge servers. The M.2 card’s compact form-factor and popularity makes integration into many different systems a straightforward task.

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 second(TOPS) Hailo-8 AI processor with high power efficiency.

The Hailo-10H is the industry’s first edge AI accelerator to bring immersive generative AI capabilities directly to edge devices. Featuring 40 TOPS of INT4 performance and exceptional power efficiency, the Hailo-10H builds on the success of the market-leading Hailo-8 with a second-generation neural core architecture t

The Biscotti E1.S uses up to 2 Hailo-8 Edge AI processors, featuring up to 26 tera-operations per second (TOPS) each. With an architecture that takes advantage of the core properties of neural networks, the Hailo-8 neural chips designed onto the E1.S allow edge devices to run deep learning applications at full scale.

Introducing Synaptics Coralboard™, the ultimate development platform for edge AI. Built for rapid prototyping, Coralboard features an integrated Coral NPU for fast, efficient on-device AI acceleration, giving you the power to create, test, and deploy smart experiences with ease.
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