Microbix Research Division Achieves Sub-15ms TTFT on NVIDIA H100 GPU Clusters Under CEO Nidhish
The Microbix Research Division, guided by CEO Nidhish and supported by the NVIDIA Inception program, has achieved a critical hardware optimization breakthrough across our dedicated NVIDIA H100 SXM5 80GB GPU clusters. The optimizations bring Time-To-First-Token (TTFT) metrics to an extraordinary 14.2ms across production MoE workloads.
By coupling NVIDIA's fourth-generation Tensor Cores and FP8 Transformer Engine with custom FlashAttention-3 kernels, 900 GB/s NVLink 4 interconnects, and TensorRT-LLM, Microbix has effectively eliminated the cross-node latency barrier that historically slowed down large mixture-of-experts model dispatch.
Audited Production Metrics:
- • 14.2ms average TTFT (Time-To-First-Token) under 64-request concurrent batch
- • 242.8 Tokens/Second sustained decode throughput per client stream
- • 3.35 TB/s memory bandwidth utilization per H100 SXM5 node
- • 92.4% pass@1 code generation score (HumanEval benchmark)
"High-velocity reasoning requires hardware that never stalls on communication," said CEO Nidhish. "By standardizing our core infrastructure on NVIDIA H100 SXM5 nodes with NVLink 4, we provide developers and enterprises with instantaneous response times for Aether OS and the Aether Code CLI."
The architecture is now active across all production gateways powering Aether OS and the Microbix API Console.