High Performance Inference with less cost
Taotern specializes in providing power efficient, high performance inference for AI applications remotely and on site while maintaining low power consumption and operational cost.
Capabilities
Taotern delivers the complete infrastructure for end to end AI systems, from custom hardware, open source software, and optimized models with the goal of providing high performance inference.
Inhouse products include:
- Ternary Processing Unit (TPU)
- Drivers
- Firmware
- Large Language Models
Baseline Model
High-performance AI shouldn't require a supercomputer. Our ternary-quantized LLM slashes power and memory demands, allowing you to run powerful models on the hardware you already own both online and offline.
The model uses the State Space Model (SSM) architecture, which demonstrates stable handling of long sequences efficiently.
A compact package for a remote personel inference AI. It serves as a foundation for customer-specific fine-tuning, transforming existing LLMs into more efficient architectures.
Ternary Processing Unit (TPU)
- Taotern's proprietary TPU is a purpose-built for ternary-quantized LLMs.
- Providing a huge improvement in energy efficiency and performance compared to modern CPUs.
| Modern CPU | |
|---|---|
| Typical Power | 30–80 W |
| LLM Efficiency | 30 GOPS/W |
| Tokens/sec (30M model) | Low-Moderate |
| Best Use Case | General Computing |
| Taotern TPU | |
|---|---|
| Typical Power | 3W |
| LLM Efficiency | 300 GOPS/W |
| Tokens/sec (30M model) | ~50 tokens/sec |
| Best Use Case | Edge, embedded, enterprise |
Key Advantages
10X
More Efficient
90% +
Power Reduction
3W
Total Power Draw
Features and Benefits
Everything you need to have the advantage againts the competition
Run LLMs
Run LLMs where the data lives
Reduce costs
Reduce power consumption and operational cost
Maintain full control
over data and inference
Robust AI deployment
Deploy AI in environments where GPUs and cloud access are impractical
How We Work With You
A stremlined process to get your hardware running
Discovery
Collaborate with TaoTern engineers to define model requirements,performance targets, and deployment constraints.
Model Strategy
Choose the optimal approach for your specific needs:
- Train from scratch
- Fine-tune our baseline model
- Transform and optimize an existing model
Deployment
Deploy inference servers remotely or physically on-site, with ongoing support and optimization.
Services We Provide
TaoTern offers flexible AI services tailored to your deployment needs
Custom LLM training
based on your data and requirements
Knowledge distillation
compress large models into efficient ternary versions
LLM optimization
Tranform existing models into SSM-based architectures for up to 10× inference speedup
Inference hosting
on GPUs or TaoTern TPUs
On-premise TPU server deployment
with full technical support for secure, offline inference