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The conversational AI challenge
The challenge for conversational AI is to deliver high-quality results in human-like response times at the lowest possible cost. Doing so relies on low word error rate (WER), strong LLM quality metrics and maximum throughput at the lowest possible latency.
The CAIMAN solution
CAIMAN enables high-quality conversational AI responses at lower CapEx and OpEx compared with an on-premises GPU or cloud-based solution. You can run more than a thousand concurrent real-time streams on a single card, delivering real-time automatic speech recognition at the lowest cost.
The benefits of using CAIMAN
Cost-effective
Reduce costs by up to 50x when running LLM analysis on transcribed input compared with using your own or cloud-based servers. Operating within stringent latency budgets, CAIMAN reduces CapEx costs by as much as 90%.
Lowest latency
Real-time speech processing with very low and deterministic Llama LLM inference latency thanks to the parallel processing advantages of Achronix’s Speedster7t® FPGA.
Computational efficiency
CAIMAN uses 2x less rack space than a leading GPU, delivering massive channel capacity at a lower cost. A single 1U server with one accelerator card running CAIMAN has the same throughput capacity as twenty unaccelerated servers.
Energy-efficient
CAIMAN uses 3x less energy compared with a leading GPU. CAIMAN uses as much as 90% less energy to process the same number of real-time streams as an unaccelerated solution.
Cost-effective
Reduce costs by up to 50x when running LLM analysis on transcribed input compared with using your own or cloud-based servers. Operating within stringent latency budgets, CAIMAN reduces CapEx costs by as much as 90%.
Lowest latency
Real-time speech processing with very low and deterministic Llama LLM inference latency thanks to the parallel processing advantages of Achronix’s Speedster7t® FPGA.
Computational efficiency
CAIMAN uses 2x less rack space than a leading GPU, delivering massive channel capacity at a lower cost. A single 1U server with one accelerator card running CAIMAN has the same throughput capacity as twenty unaccelerated servers.
Energy-efficient
CAIMAN uses 3x less energy compared with a leading GPU. CAIMAN uses as much as 90% less energy to process the same number of real-time streams as an unaccelerated solution.
CAIMAN features
Deploy with ease
Complete acceleration stack including bitstream, drivers and efficient WebSocket API facilitates simple integration into existing service provisions. CAIMAN is easy to deploy with 1 to 8 FHFL PCle cards per server.
Language translation and localization
Pre-trained for high quality English language transcription but easily retrained using PyTorch for specialist vocabularies or alternative languages. Llama LLM improves the language translation transcribed by your ASR, improving accuracy, fluency and context-awareness.
Train with your data
Use the Caiman-ASR GitHub repo to fine-tune Llama3 with your ASR data then export straight to Caiman-LLM.
Enhance your ASR
Feed your speech transcription through CAIMAN-LLM for more in-depth analysis and contextualization, producing highly accurate real-time responses.
Use Cases
Experience fast and accurate conversational AI
Our low latency CAIMAN product enhances your speech transcription and translation. With a WER of just 7-10%, you can trust that the transcript will be accurate as well as fast.
- Contact centers: answer customer queries in a timely manner
- Fully automated services: generate natural, human-like interactions
- Video platforms: produce accurate, real-time subtitling and translation
Why myrtle.ai?
Expertise you can rely on
We are a team of hardware/software co-design specialists, infrastructure experts and machine learning scientists – we understand your challenges and can deliver the solutions you need
Trusted partner to leading companies
We are relied upon by companies at the top of their game because we make it possible for them to deploy complex machine learning models that run in microseconds
Frictionless deployment
We enable effortless iteration and deployment of machine learning models, freeing engineers to advance development
Increase the performance of your machine learning models
Discover how myrtle.ai can help you access low latency inference and deploy complex machine learning models that run in microseconds