Blog

FIT (Failure in Time) Calculation Essential for AI system Reliability metrics and its health evaluation

In this post I want to walk through FIT calculations and its role in determining the reliability of different sub-systems of AI systems (servers or mission critical IOTs). FIT number indicates probability of undetectable errors even after implementing all error mitigation techniques like ECC/CRC/Parity/redundancy… etc. in different parts of system. To be more accurate it […]

Telemetry of AI Servers for Emerging Connectivity solutions

Emerging and existing connectivity standards play a significant role in deployment of AI solutions especially for LLM’s deployments either for training or inference use cases. Telemetry plays significant role in optimizations and configuration management of these servers for their unique needs. Connectivity solutions can be categorized within Rack level topologies or among different racks. These […]

Frameworks and kernels for performance and reliability aspects of AI servers in Training and Inference workloads

From a server perspective Compute (MAC/FMAC) throughput, cache(?) and main Memory bandwidth and latency, IO Storage access performance like IOPs, Network scalability, bandwidth and hop latency in general are prime system level performance primitives which need to be evaluated with dedicated benchmarks to find suitability of server for AI workloads. Each primitive’s needs are further […]

Securebits: Empowering Secure Environments

Securebits is building innovative security, reliability and performance enhancement solutions using accelerator technology, providing comprehensive primitives for verticals related to Data Center, IOT, On Board Space platforms and analytics related to Biotechnology. Our cutting-edge solutions (security, reliability and acceleration) are designed to offer unparalleled innovation for the target vertical. With a focus on advanced technology […]

The Importance of Robust Security Systems in Today’s World

Securebits offers AI/ML security primitives which can be integrated into enterprise systems or client facing systems to protect and identify threats. Our real time data analytics ensures your systems and devices can be identify threats and can be secured. Dividing the systems and devices into different functional segments and use the identified ML or LLM […]