Octa-core LPU IP on LISA v3
Octa-core LPU IP on LISA v3 — multi-chip scalable, purpose-built for multimodal, agentic AI at the edge and on-prem.
Overview
HyperThought is built on the LISA™ (Language Instruction Set Architecture) foundation and an Octa-Core HTX301 LPU processor. It's a compiler-driven, software-hardware co-design that maps modern language models onto efficient silicon — without demanding a cutting-edge process node.
- Multimodal and agentic AI at the edge
- Automotive, industrial, and on-prem inference
- Multi-chip scalability for extreme performance
Key features
Octa-core, multi-chip
- Octa-Core HTX301 processor on LISA v3, scalable across chips for extreme performance.
Compression built in
- Weight compression beats llama.cpp by 9%–17.8%.
- KV-cache compression with 0.06%–3.52% perplexity loss.
Mature-node ready
- T28nm with standard LPDDR4/5 — optimized for lower DRAM bandwidth.
Secure & scalable
- Security-focused instruction architecture with a compact, balanced compute footprint
Block Diagram
Benefits
- Octa-Core HTX301: 240 tok/s — Llama2 7B prefill
- Multi-chip scaling: up to 1200 tok/s — Llama 7B prefill
- Efficiency point: 30 tok/s at 100 GB/s & 0.5 TOPs
- Model reach: up to 600B parameters
Specifications
Identity
Videos
Files
Note: some files may require an NDA depending on provider policy.
Provider
Learn more about NPU IP core
Your NPU Learned to Listen
Can Your NPU Run DOOM? Chimera Can.
Heterogeneous NPU Data Movement Tax: Intel's Own Slides Tell the Story
The Upcoming NPU Shakeout
One Instruction Stream, Infinite Possibilities: The Cervell™ Approach to Reinventing the NPU
Frequently asked questions about NPU IP cores
What is Octa-core LPU IP on LISA v3?
Octa-core LPU IP on LISA v3 is a NPU IP core from Skymizer listed on Semi IP Hub.
How should engineers evaluate this NPU?
Engineers should review the overview, key features, supported foundries and nodes, maturity, deliverables, and provider information before shortlisting this NPU IP.
Can this semiconductor IP be compared with similar products?
Yes. Buyers can compare this product with similar semiconductor IP cores or IP families based on category, provider, process options, and structured technical specifications.