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at the Speed of Life

Neural Network Accelerator IP

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Unleash Performance in AI Applications

Expedera’s Neural Processing Unit (NPU) features a unified compute pipeline that eliminates memory bottlenecks to deliver breakthrough performance in Artificial Intelligence (AI) applications. Memory efficiency dictates performance, power and cost in SoC designs. Expedera’s Origin™ is a neural engine IP line of products that reduce memory requirements to the bare minimum, dramatically reducing overhead to unlock performance and power efficiency. But Origin does more. By moving software burdens to hardware, Origin enables a simplified software stack and allows TensorFlow to execute directly in hardware.

Origin achieves a sustained performance of up to 128 TOPS with typical utilization rates of 70-90% (measured in silicon running common AI workloads such as ResNet). This best-in-class performance and utilization allow users to run AI models faster with less power consumption than alternative solutions. And while performance and power are important, so is silicon area. Origin is third-party verified to produce superior TOPS/mm2 and IPS/mm2 versus competitive solutions, assuring AI chip designers the best combination of processing, power, and area.

The Origin Difference

Speedup AI inference performance dramatically with our advanced activation memory management.

Efficiency: Industry-leading 18 TOPS/W enables greater throughput with lower power consumption

Meet high throughput requirements with little or no off-chip memory.

Predictability: Determinism, QoS, confidently determine throughput and latency for specific workloads

Meet a wide range of application requirements with an architecture that scales.

Scalability: From 10 GOPS to 128 TOPS a single scalable architecture addresses applications from endpoints to datacenters

Run trained models unchanged without the need for hardware dependent optimizations.

Configurability: Independently configurable building blocks allow for design optimization, right-sized deployments

Simplify software stacks enabled by smart hardware.

Simplicity: Eliminates complicated compilers, easing design complexity, reducing cost, and speeding time-to-market

Industry-leading performance and power efficiency.

Deployable: Best-in-class TOPS/mm2 assures ideal processing/chip size designs

Products

Origin E1

Origin E1

The Origin E1 processing cores are individually optimized for a subset of neural networks commonly used in home appliances, edge nodes, and other small consumer devices. The E1 LittleNPU supports always-sensing cameras found in smartphones, smart doorbells, and security cameras.

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Origin E2

Origin E2

The Origin E2 is designed for power-sensitive on-chip applications that require no off-chip memory. It is suitable for low power applications such as mobile phones and edge nodes, and like all Expedera NPUs, is tunable to specific workloads.

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Origin E6

Origin  E6

Origin E6, optimized to balance power and performance, utilizes SoC cache or DRAM access during runtime and supports advanced system memory management. Supporting dual jobs, the E6 runs a wide range of AI models in smartphones, tablets, edge servers, and others.

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Origin E8

Origin E8

Origin E8 is designed for high-performance applications required by autonomous vehicles/ADAS and datacenters. It offers superior TOPS performance while dramatically reducing DRAM requirements and system BOM costs, as well as enabling multi-job support. Even at 128 TOPS, its low power consumption enables the Origin E8 for deployment in passive cooling environments.

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Origin E8

TimbreAI T3

TimbreAI T3 is an ultra-low power Artificial Intelligence (AI) Inference engine designed for noise reduction uses cases in power-constrained devices such as headsets. TimbreAI requires no external memory access, saving system power while increasing performance and reducing chip size.

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