PulseAugur
EN
LIVE 23:27:49

Sakana AI, NVIDIA unveil TwELL for faster LLM training and inference

By PulseAugur Editorial · [2 sources] ·

Researchers from Sakana AI and NVIDIA have developed TwELL, a novel method that significantly speeds up large language model (LLM) operations. By targeting the feedforward layers, which are computationally intensive, TwELL induces high sparsity and translates this into practical performance gains on GPUs. This approach achieves up to a 21.9% speedup in training and a 20.5% speedup in inference without compromising model accuracy. AI

IMPACT Accelerates LLM training and inference, potentially lowering costs and increasing accessibility for AI development.

RANK_REASON Research paper introducing a new technique and associated speedups for LLMs.

Read on MarkTechPost →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

Sakana AI, NVIDIA unveil TwELL for faster LLM training and inference

How we ranked this

Signal score
0 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Research
Research paper introducing a new technique and associated speedups for LLMs.
Source corroboration
2 independent sources
Multiple independent publishers reporting the same story raises confidence that it's real and newsworthy.
Topics
infra, model release
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
138 days old
Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

Full methodology in our editorial standards.

COVERAGE [2]

  1. MarkTechPost TIER_1 English(EN) · Asif Razzaq ·

    Sakana AI and NVIDIA Introduce TwELL with CUDA Kernels for 20.5% Inference and 21.9% Training Speedup in LLMs

    <p>Sakana AI and NVIDIA Researchers demonstrate that simple L1 regularization can induce over 99% sparsity in feedforward layers with negligible downstream performance impact, and translate that sparsity into real GPU throughput gains using new sparse data formats and fused CUDA …

  2. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    Sakana AI and NVIDIA have introduced TwELL, a new approach using CUDA kernels that achieves 20.5% inference and 21.9% training speedup in large language models.

    Sakana AI and NVIDIA have introduced TwELL, a new approach using CUDA kernels that achieves 20.5% inference and 21.9% training speedup in large language models. The technique targets feedforward layers, which account for over two-thirds of model parameters and 80% of FLOPs, by in…

    LINKS marktechpost.com/…/sakana-ai-and-nvidia-i…

RELATED ENTITIES

RELATED TOPICS