myrtle.ai: High-Performance AI Inference Acceleration for Mission-Critical Applications

myrtle.ai is a pioneering AI company specializing in hardware-software co-designed solutions that optimize machine learning inference at scale for cloud, enterprise data centers, and edge environments. With a focus on delivering minimal latency, maximum throughput, and exceptional energy and cost efficiency, myrtle.ai empowers organizations in finance, speech recognition, recommendation systems, wireless telecoms, and security/safety to deploy real-time AI workloads without compromising performance or scalability. Their flagship products, VOLLO™ and CAIMAN-ASR, are built on FPGA technology and validated through independent STAC-ML™ benchmarks, enabling microsecond-level inference and up to 20x faster processing than competitors. Designed for flexibility and seamless integration, myrtle.ai provides bespoke acceleration, virtual machine evaluation, and secure on-premises testing—ensuring model integrity and rapid deployment across diverse infrastructure. The company’s deep partnerships with industry leaders like AMD, Achronix, and Altera underscore its commitment to innovation and reliability.

Key Features:

• VOLLO™ Inference Accelerator: Delivers the lowest deterministic latency and superior throughput, cost, and energy efficiency for latency-critical applications.
• CAIMAN-ASR Speech Recognition: Enables real-time transcription with support for over 1,000 concurrent streams and up to 10x reduction in CapEx & OpEx.
• SEAL AI Accelerator: Optimizes memory-intensive workloads like recommendation systems, delivering up to 5x throughput improvement and zero performance degradation with co-location and sharding.
• FPGA-Based Hardware Acceleration: Leverages reconfigurable FPGAs for rapid adaptation to new architectures and model innovations.
• Support for Multiple Frameworks: Compatible with PyTorch, TensorFlow, and ONNX, enabling flexible model development and deployment.
• Secure On-Premises Evaluation: Offers virtual machine and cycle-level, bit-accurate simulation without requiring physical FPGA hardware.
• Bespoke Solutions: Custom acceleration services tailored to specific industry challenges and workloads.
• Patented MAU Accelerator™ Technology: Utilizes heterogeneous compute, quantization (including BFP16), and sparsity exploitation for up to 95% reduction in compute and memory operations.
• Multi-Industry Applications: Proven success in finance, speech, recommendation systems, wireless telecoms, and security/safety sectors.
• Scalable Deployment Options: Available as PCIe cards, SmartNICs, FPGA netlists, and OCP M.2 accelerator modules.
• Integration Flexibility: Supports WebSocket APIs and seamless integration into existing systems, including public cloud platforms like Amazon AWS F1.
• Industry Benchmark Validation: Audited results from STAC-ML™ Markets (Inference) benchmarks confirm superior performance across domains.
• Open Compute Project Compatibility: SEAL is available in OCP M.2 form factor and compatible with Glacier Point V2 carriers.
• Model Retraining Support: CAIMAN-ASR can be retrained using PyTorch for specialized vocabularies or languages, including a Mandarin demo.
• Commitment to Innovation: Founding member of MLCommons, contributing benchmark code for Speech To Text and driving open AI standards.

Pricing: myrtle.ai offers tailored, enterprise-grade solutions with pricing based on specific use cases and deployment needs. They provide evaluation options via virtual machines and simulation, suggesting a trial or freemium model for initial assessment.

Conclusion: myrtle.ai is a transformative force in AI inference acceleration, delivering unmatched performance, efficiency, and flexibility for high-stakes, real-time applications across industries—making it an essential partner for enterprises seeking scalable, secure, and future-ready AI infrastructure.