Pulse of Distributed Intelligence

CloudNative AI Research lab specializing in terminal-weight quantization, BitNet b1.58 delta-convergence, and autonomous compute orchestration on TPU-v7 superpod clusters.

Read Research Paper Pulse API Docs

AMS-01 Cluster Telemetry

Active Pod: TPU-v7-Pod-A4

Throughput

0T/s

Sync Latency

0.00ms

Cluster Load

0.0%

Node Registry

Monitor global weight distribution nodes and consensus status.

Weight-Sync Console

Core Directives

BitNet Quantization

Optimizing BitNet.cpp for lossless 1-bit inference on Blackwell architectures.

Stochastic Consensus

Reducing cross-cluster entropy in weight-sync streams via delta-encoding.

LPU Orchestration

Managing Groq-v4 LPU clusters for real-time medicinal molecular simulation.

Ternary Vector Search

Implementing additive-only RAG retrieval on 1.58-bit quantized embeddings.

Sync Load Balancing

Autonomous LPU-to-LPU delta-sharding for Blackwell superpod clusters.

Quantized KV-Caching

Reducing VRAM overhead by 12x using ternary context cache serialization.