An on-chip 2D mesh network connects the tiles to each other with wide, 512 byte, buses. Important to making encrypted computing efficient is feeding those huge numbers to the compute cores quickly.

Summary Fully homomorphic encryption (FHE) allows computing on encrypted data without decryption, but it’s currently slow on standard CPUs and GPUs. Intel’s Heracles chip accelerates FHE tasks up …

And it's flanked inside a liquid-cooled package by two 24-gigabyte high-bandwidth memory chips-a configuration usually seen only in GPUs for training AI. In terms of scaling compute performance, …

4 days ago · Intel Demos Chip To Compute With Encrypted Data Post Load All Comments 6 Full 23 Abbreviated 6 Hidden /Sea

3 days ago · The chip further includes 64 MB of internal scratchpad memory, large register files, and dedicated buffers that stage data close to compute engines.

3 days ago · So even with a 5,000x ASIC speedup you are still looking at roughly 20-100x overhead vs unencrypted compute. That rules out anything latency-sensitive, but for batch workloads like …

4 days ago · Intel Demos Chip to Compute with Encrypted Data sohkamyung Tuesday, March 10, 2026 Summary The article discusses Intel's work on Fully Homomorphic Encryption (FHE), a …