[GUEST ACCESS MODE: Data is scrambled or limited to provide examples. Make requests using your API key to unlock full data. Check https://lunarcrush.ai/auth for authentication information.]  ๐Quinn๐งจ [@jany268](/creator/twitter/jany268) on x XXX followers Created: 2025-07-17 05:03:41 UTC [Ritual: Unsealed] Ritual Launches Cascade - A Breakthrough in Private LLM Inference Cascade is Ritualโs new protocol for fast, scalable, and private large language model (LLM) inference. Instead of relying on heavy cryptographic techniques, it uses token-level sharding, splitting and distributing parts of your prompt so that no single node sees the full message. Here's how it works: ๐ What is Cascade? Cascade is a protocol that splits your input into tokens and distributes them across multiple nodes. ๐ No single node ever sees the full prompt only small pieces. โก Why does it matter? Traditional privacy methods like SMPC or FHE are secure but extremely slow. Cascade replaces them with: โ Parallel token sharding โ Smart coordination โ Privacy and speed, no compromise. โ๏ธ How does it work? Each node receives only certain tokens: Node A โ 1,4,7 | Node B โ 2,5,8 | Node C โ 3,6,9 A special โAttnNodeโ handles the attention layer in a distributed manner The final output is reconstructed from all the partial computations ๐ก๏ธ What about attacks? Hidden states canโt be easily reconstructed to reveal the prompt Vocab-matching attacks are disrupted due to token sharding Leak risk drops exponentially with the number of shards (ฮด parameter) ๐ How fast is it? Up to 100ร faster than SMPC Up to 150ร less communication overhead Cascade is built for real-world workloads, not just academic demos. ๐ Why does this matter? Private LLMs can now be used in sensitive domains like: Healthcare Finance Personal data โ On-chain or off-chain without having to trust any single provider. ๐ Want to go deeper? The full technical paper is live complete with specs, security proofs, and benchmarks: ๐ Let's Ritual begin!  XXX engagements  **Related Topics** [protocol](/topic/protocol) [inference](/topic/inference) [llm](/topic/llm) [breakthrough](/topic/breakthrough) [cascade](/topic/cascade) [ritual](/topic/ritual) [Post Link](https://x.com/jany268/status/1945710978697728225)
[GUEST ACCESS MODE: Data is scrambled or limited to provide examples. Make requests using your API key to unlock full data. Check https://lunarcrush.ai/auth for authentication information.]
๐Quinn๐งจ @jany268 on x XXX followers
Created: 2025-07-17 05:03:41 UTC
[Ritual: Unsealed] Ritual Launches Cascade - A Breakthrough in Private LLM Inference
Cascade is Ritualโs new protocol for fast, scalable, and private large language model (LLM) inference. Instead of relying on heavy cryptographic techniques, it uses token-level sharding, splitting and distributing parts of your prompt so that no single node sees the full message. Here's how it works:
๐ What is Cascade? Cascade is a protocol that splits your input into tokens and distributes them across multiple nodes. ๐ No single node ever sees the full prompt only small pieces.
โก Why does it matter? Traditional privacy methods like SMPC or FHE are secure but extremely slow. Cascade replaces them with: โ Parallel token sharding โ Smart coordination โ Privacy and speed, no compromise.
โ๏ธ How does it work? Each node receives only certain tokens: Node A โ 1,4,7 | Node B โ 2,5,8 | Node C โ 3,6,9 A special โAttnNodeโ handles the attention layer in a distributed manner The final output is reconstructed from all the partial computations
๐ก๏ธ What about attacks? Hidden states canโt be easily reconstructed to reveal the prompt Vocab-matching attacks are disrupted due to token sharding Leak risk drops exponentially with the number of shards (ฮด parameter)
๐ How fast is it? Up to 100ร faster than SMPC Up to 150ร less communication overhead Cascade is built for real-world workloads, not just academic demos.
๐ Why does this matter? Private LLMs can now be used in sensitive domains like:
Healthcare Finance Personal data
โ On-chain or off-chain without having to trust any single provider.
๐ Want to go deeper? The full technical paper is live complete with specs, security proofs, and benchmarks: ๐
Let's Ritual begin!
XXX engagements
Related Topics protocol inference llm breakthrough cascade ritual