Together
PulseAugur coverage of Together — every cluster mentioning Together across labs, papers, and developer communities, ranked by signal.
- 2026-11-01 research_milestone Together announced a new post-training methodology to ensure alignment between reward signals and model behavior. source
- 2026-10-22 partnership Together and Deel have partnered to enhance AI training for global workforces. source
- 2026-10-19 product_launch Together launched a post-training service for customizing open-source models. source
- 2026-09-11 product_launch Together announced enhancements to its fine-tuning service, including support for new models and improved features. source
- 2026-09-10 product_launch Together launched a public preview of its preemptible compute offering for GPU clusters. source
- 2026-09-07 partnership Together announced a major open-source infrastructure deal involving a large data center and numerous chips. source
- 2026-09-01 product_launch Together announced a price reduction for its dedicated H100 GPU instances. source
- 2026-08-31 partnership Together announced one of the largest AI infrastructure deals for open source, partnering with humain in Saudi Arabia to provide 250MW of data center capacity. source
- 2026-08-18 product_launch Together launched a new A/B testing feature for its inference platform. source
- 2026-08-06 product_launch Together launched an updated inference platform for running open models in production. source
- 2026-07-30 product_launch Together is releasing updates to its inference platform to simplify the deployment and operation of open-weight models. source
- 2026-07-26 product_launch Together released updates to its inference platform to aid in scaling new AI models. source
- 2026-07-23 product_launch Together launched the next generation of its inference platform. source
- 2026-07-21 partnership Together partnered with Y Combinator to provide the first dedicated GPU cluster for the accelerator program. source
- 2026-07-16 partnership Together announced it is powering inference for Cursor AI, highlighting a growing partnership. source
14 day(s) with sentiment data
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Together Compiler automates AI model optimization for performance gains
Together has launched Together Compiler, a new tool designed to automatically optimize inference kernels for AI models. This system utilizes agents that adapt to specific models, hardware, and traffic patterns. Early re…
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Together CEO envisions superintelligence as future labor force
Vipul Ved Prakash, CEO of Together, discussed the company's pursuit of superintelligence, envisioning an AI that surpasses current capabilities and integrates into the workforce. He believes this advanced AI will tackle…
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Collinear AI leverages Together for agentic RL runs
Collinear AI has been utilizing Together's post-training infrastructure since April. Their recent work involves launching full-scale agentic reinforcement learning runs, facilitated by Together's self-onboarding process.
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Together pushes for cost-effective AI with smaller, open-source models
Together is advocating for the use of smaller, faster open-source models over larger, closed-source alternatives. The company believes the primary objective should be maximizing token usage without a proportional increa…
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Together AI ensures training and generation alignment with new post-training method
Together has announced a new post-training methodology that ensures alignment between the designed reward signal and the model's learned behavior. This approach aims to maintain the integrity of the training objectives …
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Together promotes flexible AI model selection over defaulting to large models
Together, an open-source AI company, advocates for a flexible model stack where tasks are matched to appropriate models. This approach allows smaller, faster models to handle simpler tasks, while larger, more capable mo…
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K2 model tool-calling accuracy varies widely across 15 providers
A new analysis by Moonshot reveals significant variability in tool-calling accuracy across 15 different providers serving the same K2 model. While the underlying model weights remain identical, performance differences, …
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Together AI streamlines LLM post-training with shared GPU capacity
Together AI has introduced a new post-training feature designed to accelerate iteration on large language models. This feature allows multiple LoRA (Low-Rank Adaptation) experiments to utilize shared GPU capacity, enabl…
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Together showcases open models and inference at GTC Berlin
Together announced its presence at GTC Berlin, highlighting its work with open models in production and large-scale inference. The company participated in customer and partner sessions, a "Kaffee Inferenz" event, and an…
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FactoryAI tests Reflection AI's model on Together's Beam platform
FactoryAI gained early access to Together's Beam inference platform, utilizing this period to rigorously test Reflection AI's model. Their evaluation focused on critical agentic workflows such as error recovery, conflic…
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Together and Deel partner to accelerate AI training for global workforces
Together has partnered with Deel to enhance AI training capabilities for global workforces. Deel's Pangaea K1 model leverages over 43,500 pages of expert knowledge, fine-tuned on Together's platform. This collaboration …
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Deel leverages Together for faster AI experiment iteration
Deel's data science team successfully conducted reinforcement learning experiments using Together's post-training capabilities. This setup allowed them to run multiple experiments concurrently on the same GPU, significa…
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LLM redundancy illusion: models fail similarly, undermining fallbacks
A recent discussion highlights that relying on multiple Large Language Models (LLMs) for redundancy may be less effective than commonly assumed. Modern LLMs, despite being from different providers, often exhibit similar…
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Together Compute to preview Step 5 inference and agent workloads
Together is hosting a preview launch night for Step 5 this Thursday, featuring discussions on inference, building and serving agent workloads, and future development in AI models. The event will include insights from AI…
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Together opens Kaffee Inferenz coffee pop-up near GTC Berlin
Together, an AI research and development company, has opened a coffee pop-up called Kaffee Inferenz. This pop-up is located near GTC Berlin and is designed to be a casual space for attendees. The coffee served requires …
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DeepSeek V4.1 Flash 1017 leads open-weight models with 1M context
DeepSeek has released V4.1 Flash 1017, an open-weight MoE model featuring a 552B total parameter count and a 16B active parameter count, with a 1 million token context window. This model shows significant improvements i…
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DeepSeek V4.1 Flash 1017 released, leading open-weight models in key benchmarks
DeepSeek has released V4.1 Flash 1017, a 552B-parameter Mixture-of-Experts model with a 1 million token context window, available via multiple APIs. Artificial Analysis reports this model achieves a score of 45 on their…
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Together launches post-training service for open-source model customization
Together has launched a new post-training service that allows users to customize open-source models. This service supports both supervised fine-tuning (SFT) and reinforcement learning (RL), enabling users to define thei…
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Together enhances model deployment with adapter comparison and RL-tuned infrastructure
Together has announced new features for its inference and open-source model deployment platform. The platform now allows users to compare adapter runs side-by-side and deploy the best performing ones. This update includ…
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Elorian launches Glimpse multimodal AI at fraction of GPT-6 Astra price
Elorian, a startup backed by Nvidia and Google, has launched Glimpse, a multimodal AI model designed for visual tasks. Glimpse operates at a significantly lower price point than competitors like GPT-6 Astra, costing 94%…