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## AMD buys Taalas to speed up AI inference

AMD buys Taalas to speed up AI inference

AMD has bought the AI chip startup Taalas.

The deal aims to improve inference speed.

Taalas technology lets AMD etch AI models directly into silicon.

This removes the need for software layers during inference.

Etching a model into silicon means the hardware knows the exact math.

Latency drops sharply.

Power use falls because fewer operations run on the processor.

The result is faster, cheaper AI services for data‑center and edge devices.

# Example: run a model that is baked into the chip
import numpy as np

def silicon_infer(input_vec):
    # The chip performs the whole network in one step
    return hardware_accelerated_compute(input_vec)

data = np.random.rand(128)
output = silicon_infer(data)
print(output)
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The move puts AMD ahead of rivals that still rely on programmable GPUs.

It could change how AI workloads are built and deployed.

More details are in the original article: https://www.theregister.com/systems/2026/08/06/amd-acquires-ai-chip-startup-taalas-to-boost-inference-performance-by-etching-models-into-silicon/5284344

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