1stProtect and Multiverse Computing Partner on Secure On-Device AI
1stProtect and Multiverse Computing have formed a partnership to deliver secure AI inference directly on devices, announced in a press release. The collaboration combines 1stProtect's runtime security enforcement with Multiverse's quantum inspired AI model compression technology, aiming to give enterprises high performance AI that runs offline without cloud dependency.
Under the arrangement, Multiverse's CompactifAI software compresses large language models by up to 95 percent with minimal precision loss, enabling them to execute locally on hardware from smartphones to industrial devices. 1stProtect's runtime layer then applies continuous protection with sub 100 millisecond latency to prevent prompt injection, model theft, and unauthorized agent activity.
The joint system targets environments such as defense systems, healthcare networks, and critical infrastructure, where data sovereignty and limited connectivity restrict cloud use. It extends 1stProtect’s AgentProtect offering, which is already available for companies seeking to implement on-device AI with integrated security controls.
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Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
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