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// 1h agoINFRASTRUCTURE
Mindbeam partners with NVIDIA on open AI stack
Mindbeam announced a collaboration with NVIDIA covering Litespark Nemotron 3.5 Super VL, an open-weights model fine-tuned for CUDA kernel generation, plus Litespark Inference support for NVIDIA’s Nemotron models. The startup reports 82.1% KernelBench Level 2 accuracy and 962 tokens per second per user on two H200 GPUs.
// ANALYSIS
This is a sharp infrastructure play: improve open models at the low-level code layer, then make them faster to serve. The benchmark claims are promising but remain vendor-reported until independently reproduced.
- –Fine-tuning raised KernelBench Level 2 performance from 22.8% to 82.1%, reportedly outperforming GPT 5.6 Sol’s 57%.
- –Litespark Inference reached 962 tokens per second per user in a warm-start benchmark using two H200 GPUs.
- –Developers get both CUDA kernel-generation capabilities and optimized inference for NVIDIA’s open-model ecosystem.
- –The real test is reproducibility across workloads, batch sizes, sequence lengths, and cold-start conditions.
// TAGS
mindbeamlitesparkinferencetraining-infragpuopen-weights
DISCOVERED
1h ago
2026-10-15
PUBLISHED
2h ago
2026-10-15
RELEVANCE
8/ 10
AUTHOR
RedCandleRx