Applications

Making Dreams Come True

Application

Dogma - Particle Filter

To detect objects and the predict the individual object behaviour are the main elements of an autonomous vehicle’s detection system. As the name implies object detection is intended to localize and classify objects in the surrounding environment of the vehicle. Behaviour prediction is used to understand the dynamics of the objects in the surrounding environment and then to predict how they will behave in the future. This behaviour prediction is critical in the autonomous vehicle’s decision making and risk assessment. The quality of the autonomous vehicle behaviour is consequently directly related to how well these two stages can be done.

Application

Fusing Reasoning Models, Generative AI & LLMs: The Winning Formula

By combining structured, logic-driven reasoning engines with creative generative networks and large-scale language models, we unlock AI systems that are not only smarter but also more dependable. Here’s why this trio works so well together.

Flexibility

Fully programmable

Algorithm agnostic

Host processor agnostic

RISC-V cores to offload host
& run AI completely on-chip.

Memory

Capacity

HBM: 288GB

Throughput

HBM: 8 TB/s

Performance

Tensor core (dense)

FP16: 800 Tflops
FP8: 3200 Tflops

General Purpose

FP32: 25 Tflops
FP16: 50 Tflops
FP8: 100 Tflops
Close to theory efficiency

Explore Jotunn 8

Introducing the World’s Most Efficient AI Inference Chip.