Nemotron 3.5 Lightning Benchmarks: 16x Throughput Scale with No Latency Hit
rhythmrg · x · 2026-08-11
The Applied Compute Platform announced support for NVIDIA's Nemotron 3.5 Lightning for training and inference. On agentic coding benchmarks, decode throughput, time to first token, and median user latency remained effectively unchanged as concurrency and total token throughput scaled 16x. This is enabled by its LatentMoE and Mamba architecture, allowing sparsity, context length, and batch size to scale with minimal overhead.
Related event: NVIDIA Launches Nemotron 3.5 Lightning Model and NeMo Switchyard Router(31 posts)→
More from Infra
- CIA-Backed Cortical Labs Builds Data Centers from Lab-Grown Human Neurons — import_jmr · 2026-08-11
- IBM and Together AI Ink $240M Deal to Deploy NVIDIA B300 Inference Cluster — togethercompute · 2026-08-11
- Together AI Partners with IBM and Nvidia for Enterprise-Grade Inference Cloud — togethercompute · 2026-08-11
- Analysis: NVIDIA Rubin GPU Shipments Could Jump 50% with HBM Downspec — BenBajarin · 2026-08-11
- B3IQ Introduces New Model to Own and Monetize Compute, Adopted by Top Universities — templecrash · 2026-08-11
- OpenRouter Data: Reasoning Model Token Share Exceeds 60% — Beth_Kindig · 2026-08-11