Mindbeam Tunes NVIDIA Nemotron Model for CUDA Code
Mindbeam AI announced in a press release a collaboration with NVIDIA covering CUDA code generation and model inference. Mindbeam post trained NVIDIA Nemotron 3.5 Super VL to create Litespark Nemotron 3.5 Super VL, an open weights model that converts PyTorch modules into CUDA kernels.
Mindbeam said the adapted model passed 83.9% of Level 1 KernelBench problems, compared with 72.7% before adaptation. Its Level 2 result increased from 22.8% to 82.1%.
The Litespark Inference Engine now supports NVIDIA Nemotron 3.5 Super VL. In Mindbeam's warm start benchmark using two NVIDIA H200 GPUs, the engine reached 962 tokens per second per user and output throughput of 947 tokens per second.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like AI Programming Weekly or Daily AI Brief.
Also, consider following us on social media:
AI Programming Weekly
Weekly news about AI tools for software engineers, AI enabled IDE's and much more.
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
NVIDIA Weighs Further Reflection AI Investment or Acquisition
PrismML Releases Bonsai 2 27B Multimodal Model
Neura Robotics Launches Neuron AI for Humanoid Robots
Liquid AI Releases LFM2.5-24B-A2B for Local AI Agents
Voltropy Unveils Vast-10M With 10 Million Token Context
Daily AI Brief: the AI news that matters, in your inbox.