Dynova
Dynova
In the era of hyper-connectivity, load balancers have evolved from simple traffic distributors to complex Application Delivery Controllers (ADCs). The rise of AI models like DeepSeek and LLMs necessitates high-availability architectures that can handle petabytes of data with zero latency.
Enterprises now seek bespoke hardware integration. Our OEM/ODM services provide tailored chassis designs, optimized BIOS for load balancing software, and integrated security modules to meet specific industrial requirements in the US, EU, and Asian markets.
Modern load balancers are moving to the edge. By integrating GSLB (Global Server Load Balancing) with our HPE and xFusion server platforms, we enable seamless content delivery and reduced RTT (Round Trip Time) for global users.
Dynova AI Systems Inc. is a professional manufacturer specializing in high-performance AI GPU servers, GPU workstations, and customized computing infrastructure for AI training, AI inference, HPC, cloud computing, and enterprise data centers. Since our establishment in 2017, we have been committed to delivering reliable, scalable, and energy-efficient GPU computing solutions to customers worldwide.
Supported by 8 years of export experience and 9 years of industry expertise, we continuously invest in research and development to provide innovative GPU server platforms. Our products undergo 100% functional testing, burn-in testing, and thermal performance verification. A dedicated quality assurance team of 58 inspectors ensures every product delivers consistent performance and long-term stability.
For high-performance server clusters, we implement both Transport Layer (L4) and Application Layer (L7) load balancing. L4 balancers, based on IP and TCP/UDP ports, provide raw speed, while L7 balancers allow for content-aware routing, such as redirecting AI inference requests to specific GPU clusters based on the model metadata.
Decrypting SSL/TLS traffic is CPU intensive. Our hardware solutions offload this task from the main AI servers, freeing up resources for core computational tasks.
Real-time health checks ensure that if a node in your FusionServer 2488H cluster fails, traffic is rerouted in milliseconds to maintain 99.999% uptime.
Integrating Web Application Firewalls (WAF) directly into the load balancing layer provides a first line of defense against volumetric attacks.
Dynova AI Systems understands that hardware is only half the battle. We offer comprehensive localized support to ensure your load balancer infrastructure meets regional standards.
Implementing predictive traffic algorithms that use machine learning to forecast spikes before they occur.
Rolling out next-gen load balancers with 800Gbps interfaces to support the massive throughput of decentralized AI training.
Integrating Post-Quantum Cryptography (PQC) into our SSL offloading modules for future-proof security.
Self-healing hardware architectures that automatically reconfigure load balancing rules based on chip-level heat sensors.
A: Yes. Through our ODM services, we can optimize the hardware stack specifically for DeepSeek, PyTorch, or TensorFlow environments, ensuring maximum throughput for model inference.
A: Absolutely. Our load balancing solutions are designed to manage traffic across diverse hardware, including Dell PowerEdge, HPE ProLiant, and xFusion FusionServer platforms simultaneously.
A: For standard configurations, our 23,800 m² facility can deliver within 2-4 weeks. Full ODM projects involving custom chassis design typically range from 8-12 weeks.
A: We employ 58 QA inspectors who perform 100% functional and burn-in testing. With 8 years of export experience, we use specialized anti-vibration packaging for global shipping.
