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Center of Innovative Incubator R819, No. 101, Section 2, Kuang-Fu Road, Hsinchu, Taiwan
Next-Generation LLM Accelerator IP for Multimodal, Agentic Intelligence
HyperThought is a cutting-edge LLM accelerator IP designed to revolutionize AI applications. Built for the demands of multimodal and agentic intelligence, HyperThought delivers unparalleled performance, efficiency, and security.
Compact Design
HyperThought employs advanced compression technology to minimize language model size.
Reduced Footprint
Optimized for lower parameter counts and DRAM bandwidth requirements, utilizing standard LPDDR 4/5 memory.
Efficient Compression
Weight (long-term memory) compression outperforms open-source llama.cpp by 9% to 17.8%.
KV cache (short-term memory) compression with minimal perplexity loss (less than 0.06% to 3.52%).
Balanced Performance
HyperThought achieves optimal area and compute efficiency.
High Throughput
100 GB/s bandwidth requires only 0.5 TOPs to achieve 30 tokens/second.
Robust Performance
Even on a T28nm process, HyperThought delivers exceptional results.
Scalable Architecture
Multi-core design for increased processing power.
High-Speed Processing
Octa-Core HTX301 LPU achieves 240 tokens/second for Llama2 7B prefill.
Multi-Chip Scalability
Connect multiple chips to achieve extreme performance – up to 1200 tokens/second for Llama 7B prefill and support for 600B large models.
LISA v3 Architecture
Incorporates Language Instruction Set Architecture (LISA v3) for enhanced security.
Secure Design
Protects every interaction with security-focused instruction sets.
Attack Prevention
KV cache format encryption prevents overflow attacks.
LISA v3 (Language Instruction Set Architecture): The foundation of HyperThought, enabling efficient processing of diverse data types (text, audio, image).
LPU IP (LLM Processing Unit IP): The core processing engine of HyperThought, optimized for high-performance LLM acceleration.
Relive the excitement! Watch the full recording of our HyperThought launch press event to get in-depth insights and more.