Turbocharge Your LLMs & AI Models with EdgeMatrix
Achieve up to 10x faster inference, lower your compute cost by 70%, and deploy real-time AI at scale—on cloud, edge, or CPU.
Why EdgeMatrix
Blazing Fast Inference
Accelerate token generation across LLMs, CNNs, and Transformers with minimal latency.
Universal Hardware Compatibility
Optimized for NVIDIA GPUs (H100, A100, L40S), AMD CPUs, Apple M-series, and even Raspberry Pi.
Enterprise-Ready
Plug seamlessly into your AI workflows, from chatbots and OCR to real-time document processing.
Faster Than the Rest. On Every Device.
Outperforms Groq, Together.ai, and OctoAI on token throughput—while reducing energy use by up to 60%.
SL EdgeMatrix H100
SL EdgeMatrix A100
SL EdgeMatrix L40S
Groq
Together.ai
Fireworks
OctoAI
Perplexity
Deepinfra
Amazon
Azure
Replicate
Lepton AI
The Intelligence Behind the Speed
EdgeMatrix leverages spatial programming, memory traffic elimination, and hardware-aware graph optimization to maximize model throughput.
Faaast
Adaptive to CNN, RNN, and Transformer models.
Powerful
Intelligent memory reuse.
Precision Support
FP16, INT8, INT4.
Kernel-free compilation
Kernel-free compilation.
Reduce Inference Costs by Over 70%
| Hardware | Tokens/secondWithout EdgeMatrix | Tokens/secondWith EdgeMatrix | Performance Improvement | Cost Saving | |
|---|---|---|---|---|---|
| Model (Contexed Size) | |||||
| Llama-3.3-70B-Instruct (42.5 GB) | L40s (48 GB) | 19.78 | 33.48 | 69.26% | 40.91% |
| Llama-3.3-70B-Instruct (42.5 GB) | A100 (80 GB) | 48.87 | 84.24 | 72.34% | 41.78% |