Rafay and Fortanix Launch Confidential AI Service for Neoclouds
Rafay Systems and Fortanix have launched a joint offering that lets neoclouds, sovereign AI clouds and enterprises sell confidential AI as a service, the companies said in a press release. Rafay's platform now orchestrates workloads that run on CNCF Confidential Containers with Fortanix Confidential AI, extending an existing integration for confidential virtual machines.
The workloads run inside hardware-based trusted execution environments. Fortanix checks the environment and the workload through cryptographic attestation before it releases encryption keys, so data and model weights stay encrypted even while they are being processed. End users can launch the workloads from Rafay's developer portal without filing a support ticket.
The companies are aiming at regulated sectors such as finance, healthcare and the public sector, where sensitive data and proprietary models often run on GPUs operated by a third party.
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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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