Together AI
PulseAugur coverage of Together AI — every cluster mentioning Together AI across labs, papers, and developer communities, ranked by signal.
- developed Kimi k3 95%
- developed Together Compiler 95%
- employed by Dan Fu 95%
- developed Polymorphic Inference 95%
- instance of Provisioned Throughput 95%
- developed glm-5.3(-flash) 95%
- developed by GLM-5.2 90%
- invested in IBM Cloud 90%
- developed GLM-5.2 90%
- instance of Together 90%
- founded Together 90%
- used by GLM 5.3 90%
- 2026-10-27 product_launch Together AI has launched its fully automatic node remediation features for its GPU clusters. source
- 2026-09-16 funding Together AI announced a $800 million funding round at an $8.3 billion valuation. source
- 2026-09-11 product_launch Together AI launched an expanded fine-tuning service with new models, live metrics, and advanced controls. source
- 2026-09-10 product_launch Together AI launched a public preview of preemptible compute for its GPU Clusters. source
- 2026-09-09 partnership Together AI and MiniMax AI are collaborating to host an event discussing open-source AI deployment. source
- 2026-09-04 product_launch Together AI released a guide for deploying a chat API using their platform and Render. source
- 2026-09-01 partnership Together AI formed a multi-billion dollar alliance integrating Middle Eastern infrastructure with global open-source software. source
- 2026-08-31 partnership Together AI announced Greptile as a new customer and its primary inference provider. source
- 2026-08-31 partnership Together AI is partnering with Humain to build a 250-megawatt data center in Saudi Arabia. source
- 2026-08-31 partnership Together AI has partnered with Saudi Arabia and humain to build a new data center. source
- 2026-08-19 product_launch Together AI launched 1kpapers.com, a platform that summarizes and visualizes the top 1,000 research papers from the past year. source
- 2026-08-19 partnership Together AI has partnered with Higgsfield.ai to provide Dedicated Container Inference services. source
- 2026-08-17 partnership Together AI announced a partnership with Relace AI to train specialized small models for code generation. source
- 2026-08-13 product_launch Together AI and OpenRouter are co-hosting a meetup in New York City on August 20th. source
- 2026-08-12 product_launch Together AI has made the Qwen3.8-2.4T-A95B model available via its Serverless Inference service. source
22 day(s) with sentiment data
Together AI significantly bolsters inference capacity with H100/H200 GPU expansion
The addition of one thousand NVIDIA H100 and H200 GPUs to Together AI's infrastructure represents a substantial investment in inference capabilities. This move directly supports the growing demand for high-throughput AI model serving and is likely intended to power both their internal services and external customer workloads.
Together AI to offer ATLAS as a distinct inference optimization service
Given the significant performance gains demonstrated by ATLAS, Together AI may soon offer this adaptive-learning inference system as a standalone service or an add-on feature for their existing GPU offerings. This would allow customers to leverage ATLAS's dynamic optimization without needing to manage the underlying infrastructure themselves.
Together AI's ATLAS system demonstrates superior inference speed on par with specialized hardware
Together AI's newly launched ATLAS system, an adaptive-learning inference engine, is showing remarkable performance, achieving up to 500 TPS on DeepSeek-V3.1. This performance rivals that of specialized hardware like Groq, suggesting Together AI is effectively optimizing LLM inference beyond standard GPU capabilities.
Together AI to integrate NVIDIA Blackwell features into all core services
The 90% training speed boost achieved with NVIDIA Blackwell and custom kernels indicates a deep integration. It's likely Together AI will leverage Blackwell's capabilities across their entire platform, including their new instant clusters and fine-tuning services, to offer a performance edge over competitors.
Together AI's ATLAS system shows strong performance against specialized hardware
The reported performance of Together AI's ATLAS system, achieving up to 500 TPS on DeepSeek-V3.1 and outperforming specialized hardware like Groq, is a significant technical achievement. This suggests their adaptive inference approach is highly effective and could set a new benchmark for LLM inference speed and efficiency.
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Developer offers cheap AI model router for $5 VPS to leverage price drops
A developer has created a lightweight model router that can be hosted on a $5 Virtual Private Server (VPS) to dynamically switch between different AI models based on cost and complexity. This router, built with FastAPI …
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OpenAI launches Images 2.6, Ripple-65B sets new coding benchmark · 1 source tracked
OpenAI has released Images 2.6, a new model capable of generating GIFs and images 50% faster than its predecessor, with API access for advanced versions. Separately, Ripple-65B Preview, an open-weight model, has demonst…
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Together AI launches Compiler for adaptive "Polymorphic Inference"
Together AI has introduced the Together Compiler, marking a shift towards "Polymorphic Inference." This new approach aims to continuously optimize inference processes to adapt to evolving models, workloads, and hardware…
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Together AI unveils Together Compiler for continual AI inference optimization
Together AI has introduced the Together Compiler (TKCC), a new system designed for continual compilation in AI inference. This innovation aims to automatically enhance performance and ensure accuracy for AI models. The …
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Together AI optimizes open models for production in hours
Together AI has announced advancements in optimizing new open models for production performance, reducing the process from weeks to hours. This development focuses on improving the systems that run AI, specifically thro…
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Together AI and Moonshot AI discuss Kimi K3.1 Pro capabilities
Together AI and Moonshot AI are collaborating to discuss their new Kimi K3.1 Pro model. The conversation aims to provide insights into the capabilities and appropriate use cases for this model. It suggests that the clar…
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Open model inference market shows near-exponential growth, data suggests
Nathan Lambert's Interconnects Dashboard is an aggregator of data on open model adoption and performance, aiming to provide valuable insights into the growing market for open-source AI models. Despite the challenges of …
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Moonshot's Kimi K3.1 Pro model launches on Together AI platform
Moonshot's Kimi K3.1 Pro model is now available on the Together AI platform. This model boasts native multimodality, a 1 million token context window, and improved performance in coding and agentic tasks. Users can run …
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Together AI unveils Polymorphic Inference for adaptable AI model deployment
Together AI has introduced a new research agenda called Polymorphic Inference, designed to address the rapid evolution of AI models, architectures, and hardware. This approach contrasts with traditional Static Inference…
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Together AI to release Kimi K3.1 Pro model weights, details upcoming discussion
Together AI has announced the upcoming release of their Kimi K3.1 Pro model, with weights scheduled to be available tomorrow. The company plans to host a discussion on November 4th at 9 AM PT, featuring Feihu Tang from …
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AI drives 55% surge in global cloud infrastructure market to $167.7B · 1 source tracked
The global cloud infrastructure services market experienced a significant surge in Q3 2026, reaching $167.7 billion and growing 55% year-over-year, according to Synergy Research Group. This accelerated growth, marking t…
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NVIDIA H200 GPU pricing offers 15% cost increase for 43% more bandwidth
A comparison of GPU pricing for AI workloads reveals that while NVIDIA's H200 offers a significant bandwidth increase over the H100, its cost is only moderately higher. Specifically, the H200 is priced 15% more than the…
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NVIDIA H200 GPU offers cost advantages over H100 for memory-bound AI tasks
The NVIDIA H200 GPU offers improved memory bandwidth compared to the H100, making it more efficient for memory-bound tasks like LLM inference. While the H200's compute power is similar to the H100, its higher memory thr…
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Global AI Cloud Providers Evolve Beyond Compute Sales · 1 source tracked
A new industry map, NeoCloud, highlights the evolving landscape of global AI cloud services, moving beyond simple compute sales to specialized offerings. Leading providers like CoreWeave and Nebius focus on GPU-as-a-Ser…
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Recursa system enables recursive self-improvement for foundation models
A new research paper introduces Recursa, a foundation model system designed for recursive self-improvement in novel domains without human supervision. Recursa utilizes a knowledge repository to store learned skills, tas…
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Every publication explores AI agents for content recommendation and task management
Every, a publication, is exploring the use of AI agents in various capacities. Their team is testing how to get agents to recommend articles, with one method involving rewriting titles and subtitles to directly answer p…
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Together AI launches Together Compiler for continuous AI inference optimization · 8 sources tracked
Together AI has launched Together Compiler (TKCC), a novel system designed to continuously optimize AI inference. TKCC utilizes high-throughput agents to adapt inference engines to dynamic workloads, model architectures…
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Hallmark skill enhances Claude Code landing pages but increases cost and time
A user tested the Hallmark anti-AI-slop skill for Claude Code, finding that it significantly improved the quality and completeness of generated landing pages. While the skill successfully replaced placeholder elements w…
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Together AI fine-tuning alternatives: Nodus, Fireworks AI, Modal, RunPod
For teams looking to fine-tune large language models, alternatives to Together AI's token-based pricing include Nodus, Fireworks AI, Modal, and RunPod. Nodus offers per-GPU-hour billing with managed recipes for various …
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APIClaw launches flat-rate LLM API with OpenAI compatibility
APIClaw offers a flat-rate, OpenAI-compatible LLM API with pricing ranging from $19 to $129 per month, capping requests between 500 and 8,000 daily. The service includes a free trial with 50 requests. This comparison ai…