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Intel, Microsoft, DARPA announce the DPRIVE program, which aims to make fully homomorphic encryption fast enough for practical use, via custom silicon on Azure

Dr. Ian Cutress / AnandTech :

AnandTech Dr. Ian Cutress

Context & Ripple Effects

DPRIVE puts Intel, Microsoft and DARPA behind a cloud-targeted hardware route for fully homomorphic encryption, a technique already being commercialized in privacy-preserving analysis by Duality's homomorphic-encryption tools. The later appearance of Intel's Heracles FHE accelerator makes the program a visible early point in Intel's longer push to turn that workload into specialized silicon rather than leave it to server CPUs.

First-order effects

  • Intel gains a joint development path for custom FHE silicon, while Microsoft gets Azure as the intended environment for putting the resulting capability into practical use.
  • DARPA's participation directs the effort toward making fully homomorphic encryption fast enough for usable deployments, rather than treating it solely as a cryptographic research problem.

Second-order effects

  • Privacy-preserving analytics vendors such as Duality gain a clearer potential infrastructure path if Azure-hosted acceleration lowers the compute barrier associated with homomorphic encryption.
  • The project reinforces the case for pairing datacenter CPUs with specialized accelerators, alongside the Intel-Microsoft consortium's earlier CXL interconnect work for CPU-to-accelerator connections.

Third-order effects

  • If specialized FHE hardware is deployed through cloud platforms, privacy-preserving computation may increasingly be differentiated by access to integrated silicon and cloud infrastructure rather than cryptographic software alone.
  • Intel's later Heracles announcement suggests FHE acceleration is becoming a durable specialized-compute category, with cloud availability determining which developers can readily use it.

The trend: Fully homomorphic encryption is moving from a software-constrained privacy technique toward a cloud-delivered workload enabled by purpose-built accelerators.

Discussion

  • @balajis @balajis on x
    An Intel chip for fully homomorphic encryption? Great strategy for a comeback. Would allow privacy-preserving cloud computation. https://www.anandtech.com/... https://twitter.com/...
  • @intelnews @intelnews on x
    .@Intel is working with @DARPA and collaborating with Microsoft as a @MSPartner to drive confidential computing innovation in the field of homomorphic encryption and advance the next chapter of data privacy. #Privacy #Microsoft https://newsroom.intel.com/...