Poolside
PulseAugur coverage of Poolside — every cluster mentioning Poolside across labs, papers, and developer communities, ranked by signal.
- 2026-08-23 funding Nvidia invested $1 billion in Poolside and licensed its technology for $6 billion, also hiring most of its engineers. source
- 2026-08-23 funding Nvidia is investing $7 billion in Poolside, including a $6 billion license and $1 billion in equity, to bolster its coding model capabilities. source
- 2026-08-21 funding Nvidia acquired Poolside for $6 billion, including its "Model Factory" software and 109 employees. source
- 2026-08-21 hiring NVIDIA has licensed Poolside's AI model factory technology and hired 109 of its employees in a unique reverse-execuhire deal. source
- 2026-07-24 product_launch Poolside has released new models: Laguna XS 2.1 and Laguna S 2.1. source
1 day(s) with sentiment data
Poolside to release a quantized version of Laguna S 2.1 for enhanced consumer hardware performance
Given the recent research on LLM inference speed on consumer hardware and Poolside's focus on desktop-friendly models like Laguna S 2.1, it's plausible they will release a quantized version. This would further improve its performance on consumer hardware, making it even more competitive against larger models.
Poolside will leverage Laguna S 2.1's iterative strategy for enterprise solutions
The unique iterative refinement strategy of Laguna S 2.1, which allows it to outperform larger models and solve complex problems, is a strong differentiator. Poolside may aim to package this capability into an enterprise-grade solution, offering efficiency and cost-effectiveness for business applications.
Laguna S 2.1 shows promise as a planning agent beyond coding tasks
While primarily positioned as a coding model, Laguna S 2.1's benchmark performance as a browser-agent planner suggests its iterative refinement and problem-solving capabilities are transferable to other complex task domains. This could indicate a broader applicability for the model architecture.
Poolside's Laguna S 2.1 to be integrated into desktop IDEs within 6 months
Poolside's Laguna S 2.1 is explicitly designed for desktop use and has demonstrated strong coding performance, outperforming larger models. This suggests a clear path towards integration into popular Integrated Development Environments (IDEs) as a powerful, locally-run coding assistant. We predict this integration will be announced or become available within the next six months.
Poolside to release a quantized version of Laguna S 2.1 for broader consumer hardware compatibility
Given the recent research on LLM inference speed on consumer hardware and the trend towards smaller, efficient models, Poolside is likely to release a quantized version of Laguna S 2.1. This would further enhance its accessibility and performance on a wider range of consumer devices, aligning with the goal of providing a desktop-ready coding model.
-
Nvidia, Stripe, and others acquire open-weight AI firms for billions · 1 source tracked
The AI sector is witnessing a surge in acquisitions targeting companies that specialize in open-weight models, reflecting a growing trend in the industry. Nvidia is reportedly in talks to acquire Hugging Face for $13 bi…
-
Nvidia invests $7B in Poolside to bolster Nemotron against Chinese models
Nvidia is making a significant investment in Poolside, committing $1 billion to the company and an additional $6 billion to license its technology and hire a substantial portion of its engineering talent. This strategic…
-
Nvidia hikes AI server prices, DeepSeek model challenges Opus, Nvidia invests $7B in Poolside
Nvidia is set to increase prices for its AI server systems by over 15% starting in early 2027, citing rising DRAM costs from suppliers like Samsung and SK Hynix. In parallel, DeepSeek has released an experimental multim…
-
AI development pipeline increasingly shifts to model-generated components
The AI development pipeline is increasingly shifting from human-created components to model-generated ones. Since 2022, stages like reward signaling, training data generation, and teacher models have become synthetic. T…
-
Nvidia licenses Poolside AI tech for $6B, acquiring 109 staff
Nvidia has entered into a significant $6 billion licensing agreement with AI startup Poolside, which includes a $1 billion investment and the acquisition of 109 Poolside employees. This deal allows Nvidia to license Poo…
-
Nvidia acquires Poolside for $6B, gaining AI model development tools
Nvidia is acquiring the AI startup Poolside for $6 billion, gaining access to its "Model Factory" software and 109 employees. This acquisition aims to provide Nvidia with direct control over the toolchains used for deve…
-
NVIDIA hires 109 Poolside AI staff in unique licensing deal
Poolside, a company known for its AI model factory, has undergone a significant shift involving NVIDIA and its founder Jensen Huang. Instead of a traditional acquisition, NVIDIA has licensed Poolside's technology and hi…
-
Inco AI releases DFlash 2 for faster LLM inference
Inco AI has released DFlash 2, an advancement in speculative decoding for large language models. This new version improves output by over 20% per verification pass with minimal latency increase, building on the original…
-
Poolside releases updated Laguna-S-2.1-NVFP4 model
Poolside has released an updated version of their Laguna-S-2.1-NVFP4 model, superseding the previous checkpoint. Users who downloaded earlier versions are advised to re-download the model to access the latest weights an…
-
Open AI Models Proliferate, Challenging Consolidation Predictions
Several organizations are releasing powerful open-weight AI models, challenging the predicted trend of consolidation in the industry. Companies like Thinking Machines, Poolside, and Tencent are contributing to this prol…
-
Laguna S 2.1 model updated with 1M context and new weights
Poolside has released updated weights for their Laguna S 2.1 model, specifically for FP8 and NVFP4 formats. These updates increase the default context size to 1 million tokens and include revised configurations. Users h…
-
Anthropic launches Claude Opus 5, faces legacy prompt issues
Anthropic has released Claude Opus 5, which demonstrates strong performance on benchmarks but has encountered issues with legacy prompts. The week also saw the release of FLUX 3 video, an OpenAI sandbox escape, and a ne…
-
Poolside releases Laguna XS 2.1 and Laguna S 2.1 models
Poolside has released two new models: Laguna XS 2.1 and Laguna S 2.1. The Laguna XS 2.1 model offers a context window of 262.1k tokens and is available for $0.06 in and $0.12 out per million tokens, or as a free and ope…
-
Small AI model Laguna S 2.1 outperforms larger rivals by revising its work
Poolside's Laguna S 2.1, a smaller AI model, has demonstrated the ability to outperform larger models. This is achieved through its capacity for self-revision and persistence during complex, long-duration tasks. Notably…
-
Poolside's Laguna S 2.1 model prioritizes agent efficiency over scale
Poolside's Laguna S 2.1 model demonstrates that agent efficiency can outperform raw scale, achieving a 70.2% score on the Terminal-Bench 2.1 test. This 8-billion parameter model, utilizing a novel thinking mode, has suc…
-
Poolside's Laguna S 2.1 coding model outperforms larger rivals
Poolside has launched Laguna S 2.1, a compact open-weight coding model designed to improve its problem-solving capabilities. Unlike larger models that rely on sheer scale, Laguna S 2.1 is trained to iteratively check it…
-
Poolside releases Laguna S 2.1, users share experiences
Poolside has released Laguna S 2.1, a new iteration of their language model. Users on the r/LocalLLaMA subreddit are discussing their experiences and opinions with the model, particularly its performance in agent loops.
-
Laguna S 2.1 model receives looping issue fix
Poolside has released an update for their Laguna S 2.1 model, addressing a looping issue that users have encountered. Both full precision and FP8 versions of the model have been updated, with other variants expected to …
-
New equation predicts LLM inference speed on consumer hardware
A solo researcher has developed an equation to predict the inference speed of large language models on consumer hardware, based on parameters like model size, RAM, and bandwidth. This equation, derived from four observe…
-
Poolside's Laguna S 2.1 open model surpasses DeepSeek-V4-Pro-Max
Poolside has released Laguna S 2.1, an 118-billion parameter Mixture-of-Experts model that outperforms the 1.6-trillion parameter DeepSeek-V4-Pro-Max on the Terminal-Bench 2.1 benchmark. This American-made open model bo…