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Kimi K3 is coming to Together AI on day zero, July 27. Start building with it the moment it launches, powered by Together AI inference for coding, agents, and production workloads. https://www.togethe

This is what strong inference economics unlock. @rox_ai built its own search agent, ran it in production for 6+ months, and reached 91.3% accuracy at 1.03¢ per query. Together AI is proud to help powe

Together AI’s recent fireside chat with Y Combinator’s Andy Gupta explains why speed to launch and scalability were the key factors in selecting a partner for YC’s first dedicated GPU cluster. The con

Together AI and Y Combinator have announced the launch of a dedicated GPU cluster for the YC portfolio. The cluster allows YC startups to access high‑performance compute with a commitment period of on

YC and Together AI are partnering to bring the first dedicated YC GPU cluster online, giving YC startups easier access to the compute they need to build and scale. In this Founder Fireside, YC's @agup

We made Together GPU Clusters more reliable and easier to operate. Passive health checks, guided node repair, a rebuilt Slurm stack, better cluster visibility, external OIDC, startup scripts, and acce

Bonsai 27B is a big step for local AI: 27B-class multimodal capability in a phone-class footprint. Congrats to @PrismML on the launch. Try Ternary Bonsai 27B on Together AI: https://www.together.ai/mo

Together AI's 'Why type when you can call?' post likely promotes their voice calling or audio interface capabilities as an alternative to text-based interactions with their AI models. The content prob

Congrats to @ollama on the fundraise and 9M+ active builders.🚀 Open models are becoming the default path for developers who want to build, run, and own their AI stack. We're excited to support the eco

Catch us at @RaiseSummit! Our CEO @vipulved sits down with @wolfejosh of @Lux_Capital for a fireside chat 'AI Sticker Shock: Open Source as the Answer to Broken Tokenomics' Join us on the Master Stage

Provisioned Throughput is a new serverless product from @togethercompute w/ guaranteed TPMs. We created this for mission critical enterprise class applications. It functions like dedicated capacity bu

Together AI announced provisioned throughput capabilities, a feature that allows users to reserve dedicated model inference capacity at predictable costs. This offering enables organizations to optimi

We're introducing Provisioned Throughput: reserved inference capacity for frontier open models, with token-based pricing and a 99% uptime SLA. Serverless simplicity, guaranteed capacity, up to 90% low

GLM 5.2, running on Together AI's platform, has achieved the top ranking on Artificial Analysis benchmarks for both output speed and latency metrics. This announcement highlights Together AI's infrast

Introducing AI Browser Games! Watch open & closed models build small browser games head to head. Open models like Kimi K2.7 were faster, cheaper, & produced games similar to Opus 4.8. In some cases, o

This is what latency optimization looks like below the API 👇 Together ATLAS, NVIDIA Blackwell, CUDA, TensorRT-LLM, Dynamo, and custom kernels all working together to make inference faster for users. P

'Alex really hit the nail on the head, by sending data to a company that has extremely smart models, you are really giving up your business's recipe for them to copy.' Our CEO @vipulved when asked abo

Together AI, in partnership with NVIDIA and Lyra Lab, hosted a fireside chat led by Tri Dao discussing current trends and future directions in AI research and infrastructure development. The event bro

Open-source AI models provide users with full control, customization capabilities, and data ownership, addressing privacy and autonomy concerns compared to proprietary alternatives. The post highlight

Open source AI model usage has tripled from 10% to 30% of total AI tokens consumed within a year, reflecting a significant market shift toward open and modular AI architectures. This trend indicates g

This is a discussion about token economics, likely covering how tokens function as units of value or utility in blockchain and AI systems, shared by Vipul Ved on X (formerly Twitter) and referenced by

We analyzed GLM 5.2 vs Sonnet 5 for software engineering tasks using DeepSWE. GLM 5.2 gets you ~80% of Sonnet 5's capability at ~20% of the price. More insights in the thread! Deepdive: Sonnet 5 and G

We're releasing the full slides for our 2 hr deepdive session from the AI Engineer World's Fair. We covered how we build inference engines to serve agentic workloads at trillion token production scale

Together AI highlights the rapid growth of AI token consumption across multiple companies and teams, noting an increase from 30 billion tokens monthly to 400 trillion annually, with platforms like Cur

Together AI announced significant performance improvements in their AI infrastructure, achieving a 6x cost reduction per turn while maintaining p95 latency under 400ms, with new models being released

LIVE at 12p PT/3p ET: AI’s cleanest stories are getting messy. Meta has excess compute. AI-heavy companies are hiring, not shrinking. And open models keep getting better. @DanielTNiles on what this me

Our CEO @vipulved on @CNBC with @dee_bosa: your data is your recipe. As models get smarter, sending proprietary workflows, customer context, and business logic into closed systems becomes a strategic

Together AI announced a Series C funding round aimed at accelerating the adoption and development of open-source AI models and infrastructure. The funding enables the company to expand its platform fo

DSGym is a comprehensive framework designed to evaluate and train AI agents for data science tasks, providing a structured environment for benchmarking agent performance across various data science wo

ThunderAgent is an agentic inference system designed for fast and efficient execution of AI agent programs, developed by Together AI. The system appears to optimize program-aware inference by leveragi

TTT-Discover is a method that enables models to learn and discover patterns during test time rather than only during training, allowing for adaptation to new data distributions at inference. The appro

RARO (Reasoning via Demonstrations) is a method for training AI models to improve reasoning capabilities by learning from demonstrations rather than relying solely on external verifiers. The approach

This paper presents V1, a framework that unifies text generation with self-verification mechanisms to enable parallel reasoning processes in language models. The approach allows models to generate mul

Aurora is a unified training-serving system that integrates reinforcement learning with adaptive speculative training to optimize large language model inference and training efficiency. The system dyn

Untied Ulysses is a memory-efficient technique for context parallelism that processes attention heads in chunks rather than sequences, reducing memory overhead during transformer inference and trainin

Opportunistic Expert Activation (OEA) is a batch-aware expert routing technique for mixture-of-experts models that enables faster decoding without requiring model retraining. The method optimizes whic

ParallelKernelBench is a benchmarking framework designed to evaluate large language models' ability to generate optimized GPU kernels for multi-GPU computing environments. The benchmark assesses LLMs

Together AI advocates for democratizing artificial intelligence by making it abundant and affordable rather than concentrated among expensive proprietary systems. The post likely argues for open-sourc

Together AI is promoting a rescheduled presentation about sparse attention mechanisms and kernel optimizations in collaboration with MiniMax AI, scheduled for 10:45am PT. The session focuses on techni

Multi-GPU kernels are the real test for coding models. Today at @aiDotEngineer, @simran_s_arora shared ParallelKernelBench, an open-source benchmark for evaluating whether LLMs can write fast CUDA ker

Nemotron 3 Ultra is taking off on Together AI 🚀 In just days, it's climbed to 35B tokens/day on @OpenRouter. That's the community voting with their tokens for open models that are fast, efficient, and

Our research team has 9 papers at ICML next week! Spanning the full stack from frontier agents to GPU kernels, we're excited to share what our researchers and collaborators have been working on. If yo

Together AI announced their Series C funding round, which was covered in a reporting piece by the New York Times. The announcement was shared via their official X (formerly Twitter) account, linking t

Together AI announced a Series C funding round and shared details about their company vision, current capabilities, and future direction in open-source AI development and inference optimization. The a

ParallelKernelBench is a benchmark tool or methodology developed by Together AI for evaluating the performance of parallel kernel execution in machine learning systems. The benchmark likely measures m

Together AI is announcing their participation in ICML 2026 (International Conference on Machine Learning) and inviting the community to visit them at the conference. The announcement likely includes d