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Full-stack AI platform for inference, fine-tuning, and GPU clusters — powered by cutting-edge research.
Products
Batch InferenceScale to 30 billion tokens per model with any serverless model or private deployment. Start building now Explore the Docs.
Dedicated Model InferenceDeploy any open model in minutes. Roll out safely, scale to meet demand, and keep full control.
Dedicated Container InferenceDeploy video, audio, and avatar generation models on the AI Native Cloud.
GPU ClustersGo from zero to production in minutes. Bare-metal performance, InfiniBand networking, and managed orchestration — with flexible pricing for both on-demand and reserved capacity.
GB200Rent 72 Blackwell GPUs and 36 Grace CPUs in one NVLink domain, built for trillion-parameter training and inference.
The GB200 NVL72 is a liquid-cooled system that connects 72 NVIDIA Blackwell GPUs and 36 Grace CPUs into a single NVLink domain, delivering up to 1.4 exaFLOPS of FP4 compute for trillion-parameter AI. Source ↗
GB300Rent 72 Blackwell Ultra GPUs and 36 Grace CPUs in one NVLink domain, built for AI reasoning and trillion-parameter inference.
The GB300 NVL72 is the Blackwell Ultra system, connecting 72 Blackwell Ultra GPUs and 36 Grace CPUs into one liquid-cooled NVLink domain, with 288GB of HBM3e per GPU and around 1.1 exaFLOPS of FP4 compute, built for AI reasoning and trillion-parameter inference. Source ↗
H100Rent NVIDIA H100 GPUs on demand or reserve a cluster, with 80GB HBM3 and fourth-generation Tensor Cores for large-scale training and inference.
The NVIDIA H100 is a Hopper-architecture data center GPU with 80GB of HBM3 memory, 3.35TB/s of bandwidth, and fourth-generation Tensor Cores with FP8 precision, built for large-scale AI training, LLM inference, and HPC. Source ↗
H2008TB/s for memory-bound LLM inference and training.
The NVIDIA H200 is a Hopper-architecture data center GPU with 141GB of HBM3e memory and 4.8TB/s of bandwidth, the first GPU with HBM3e, built for memory-bound LLM inference and large-scale training. Source ↗
B200Rent NVIDIA Blackwell GPUs on demand or reserve a cluster, with 180GB HBM3e and native FP4 for frontier-scale training and inference.
B300Rent NVIDIA B300 GPUs on demand or reserve a cluster, with 288GB HBM3e and enhanced FP4 for reasoning-scale training and inference.
Serverless InferenceServerless Inference The fastest way to run open-source models on demand. Powered by cutting-edge inference research.
Provisioned ThroughputProvisioned Throughput Committed inference capacity with token-based pricing, reserved throughput, and a 99% uptime SLA.
Managed StorageManaged Storage High-performance managed storage for AI-native workloads. Object storage and parallel filesystems optimized for AI, with zero egress fees.
Fine-TuningFine-Tuning Fine-tune open-source models for production workloads, using the latest research techniques.
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Together AI releases Together Compiler: AI agents continually recompile LLM inference (up to 2.6x TPS over InferenceX best)
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Anyone moved away from Together.ai? Looking for alternatives
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Case Study: Together AI's entire GTM is basically "give stuff away until you become unavoidable"
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Interviewed with Together AI recently? (New grad) looking for insights & tips
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Case Study: Together AI's entire GTM is basically "give stuff ...
Been studying Together AI's growth lately and honestly their strategy is kind of underrated in how simple it is.
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[D] Together AI hits $100M in ARR but it just resales compute
[D] Together AI hits $100M in ARR but it just resales compute - hype? ... I recently learned that this startup is seen as the fastest revenue ramp ...
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OpenRouter vs Together AI : r/AI_Agents
together.ai is very fast but just one provider and not necessarily inexpensive. OpenRouter will rotate through multiple providers to find ...
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Best Generative AI Infrastructure Software
Read Together.ai Reviews. What do users say? ... Per-token billing with committed capacity as an alternative: AWS Bedrock prices on-demand usage per model, offers ...
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Read Customer Service Reviews of together.ai
Contact info. Anguilla. together.ai. 2.5. Poor. TrustScore 2.5 out of 5. 9 reviews ... See how their reviews and ratings are sourced, scored, and moderated.
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Together.ai Software Reviews, Demo & Pricing - 2026
Review of Together.ai Software: system overview, features, price and cost information. Get free demos and compare to similar programs.
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The Data Platform Behind Together AI's $3.3B Scale
The Data Platform Behind Together AI's $3.3B Scale · #1 fastest on 100GB benchmarks vs. Redshift, Athena, and ClickHouse · 128 self-service users- product teams, ...
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Together AI Review 2026 — The AI-Native Cloud Expert Guide
Expert 2026 review of Together AI. Analyze serverless inference costs, $5 free credits, and dedicated GPU endpoints for Llama 4 and DeepSeek.
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Together AI's Post
Serving MiniMax-M3 on Together AI: sparse attention, paged decode, and multimodal preprocessing at production scale ... Customer Experience ...
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Qwen3.6-35B-A3B: Agentic coding power, now open to all
... batch inference. But you're right that it's quite related. The llama.cpp ... I think I saw Together.ai with that offering, but for some reason just ...
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Marketing & Ads
MetaTogether AIActive
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Put open models into production
Evaluating GLM-5.3, DeepSeek V4.1 Flash, or Kimi K3? Run them through Together AI Serverless Inference, a fully managed API built for production workloads. Talk with our team about model fit, performance, and the path from evaluation to production.
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Captured Nov 11, 2026DeepSeek V4.1 Flash API: Pricing, Benchmarks & Docs | Together AI ↗MetaTogether AIActive
Original ad ↗Put open models into production
Evaluating GLM-5.3, DeepSeek V4.1 Flash, or Kimi K3? Run them through Together AI Serverless Inference, a fully managed API built for production workloads. Talk with our team about model fit, performance, and the path from evaluation to production.
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MetaTogether AIActive
Original ad ↗Put open models into production
Evaluating GLM-5.3, DeepSeek V4.1 Flash, or Kimi K3? Run them through Together AI Serverless Inference, a fully managed API built for production workloads. Talk with our team about model fit, performance, and the path from evaluation to production.
See details
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Captured Nov 11, 2026DeepSeek V4.1 Flash API: Pricing, Benchmarks & Docs | Together AI ↗MetaTogether AIActive
Original ad ↗
Introducing Together Link: same agent, a fraction of the bill
Your coding agent doesn't need an expensive closed model for every task. Together Link runs frontier open models like Kimi K3 and GLM 5.3 inside the harness your team already uses, including Claude Code, Codex, OpenCode and Pi. Same workflow, over 50% less spend.
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Captured Nov 11, 2026Together Link: open models in the harness you already use. Start with one command today. ↗MetaTogether AIActive
Original ad ↗
Introducing Together Link: same agent, a fraction of the bill
Your coding agent doesn't need an expensive closed model for every task. Together Link runs frontier open models like Kimi K3 and GLM 5.3 inside the harness your team already uses, including Claude Code, Codex, OpenCode and Pi. Same workflow, over 50% less spend.
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Captured Nov 11, 2026Together Link: open models in the harness you already use. Start with one command today. ↗MetaTogether AIActive
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For training and inference
No H100s? No H200s? No B200s? Together AI has all three available on demand, right now.
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MetaTogether AIActive
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For training and inference
No H100s? No H200s? No B200s? Together AI has all three available on demand, right now.
See details
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LinkedInTogether AI
Original ad ↗
Introducing Together Link: same agent, a fraction of the bill
Your coding agent doesn't need an expensive closed model for every task. Together Link runs frontier open models like Kimi K3 and GLM 5.3 inside the harness your team already uses, including Claude Code, Codex, OpenCode and Pi. Same workflow, over 50% less spend.
Learn more
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LinkedInTogether AI
Original ad ↗Frontier open models in the harness you already use
Keep your coding agent. Change the bill. Together Link connects Claude Code, Codex and more to top open models on Together AI with one install command. Your settings and logins stay put, and switching back takes one command.
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LinkedInTogether AI
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The fastest output. The best token economics at scale.
Hedra cut cloud costs 60%. Decagon achieved 6× cost reduction per turn. Together Inference, built for unit economics that hold at scale.
Learn more
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LinkedInTogether AI
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A capacity agreement built for production.
A token-based capacity agreement for frontier open models. Together Provisioned Throughput: built for teams migrating off closed APIs.
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GoogleTOGETHER COMPUTER, INC.
Original ad ↗Inference built for production
Fine-tune and deploy open models on infrastructure built for the full workflow.
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GoogleTOGETHER COMPUTER, INC.
Original ad ↗Inference built to scale
Fine-tune and deploy open models on infrastructure built for the full workflow.
First shown Nov 9, 2026 · Last shown Nov 11, 2026GoogleTOGETHER COMPUTER, INC.
Original ad ↗
Inference built to scale
Fine-tune and deploy open models on infrastructure built for the full workflow.
First shown Nov 9, 2026 · Last shown Nov 11, 2026LinkedInTogether AI
Original ad ↗
Run open models in your coding agent in minutes
One command. Your coding agent, now running on open models. Watch Together Link connect Claude Code, Claude Desktop and Codex to Kimi K3, GLM 5.3, MiniMax M3, and DeepSeek V4.1 Flash. Every session ends with a receipt showing exactly what it cost.
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GoogleTOGETHER COMPUTER, INC.
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LinkedInTogether AI
Original ad ↗The fastest output. The best token economics at scale.
Hedra cut cloud costs 60%. Decagon achieved 6× cost reduction per turn. Together Inference, built for unit economics that hold at scale.
Learn more
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GoogleTOGETHER COMPUTER, INC.
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GoogleTOGETHER COMPUTER, INC.
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GoogleTOGETHER COMPUTER, INC.
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LinkedInTogether AI
Original ad ↗Frontier models. Token-based pricing. Economics that scale.
Up to 90% lower cost than closed frontier APIs. Together Provisioned Throughput: reserved capacity, predictable pricing, and an SLA built for production.
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GoogleTOGETHER COMPUTER, INC.
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GoogleTOGETHER COMPUTER, INC.
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LinkedInTogether AI
Original ad ↗The fastest output. The best token economics at scale.
Hedra cut cloud costs 60%. Decagon achieved 6× cost reduction per turn. Together Inference, built for unit economics that hold at scale.
Learn more
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GoogleTOGETHER COMPUTER, INC.
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New pages
Polymorphic Inference: self-tuning inference for open models ↗
Together Compiler: Continual Compilation for AI inference ↗
Auto repair for Together GPU Clusters: from GPU fault to healthy node ↗
Together Post-Training: frontier-grade model shaping, the way that fits you ↗
Meta Muse Spark Open is live on Together AI ↗
Expanding our enterprise inference capacity with IBM Cloud and NVIDIA ↗
Together Link: open models in the harness you already use. Start with one command today. ↗
How to train your own Jev for $17 ↗
Canary rollouts: upgrade models in production without downtime ↗
How a global fintech scaled coding agent traffic with Dedicated Model Inference ↗
Migrating from closed to open source models, Together ↗
Together AI expands fine-tuning service with more models, live metrics, and finer controls ↗
Introducing preemptible compute: the same compute, half the price ↗
To Infinity and Beyond: ThunderKittens Now on NVIDIA Vera Rubin NVL72! ↗
The Open Source AI Stack ↗
glm 5 3 vs glm 5 3 flash on deepswe cost coding and routing ↗
GLM-5.3 vs. Claude Fable 5 on DeepSWE: Cost, Coding, and Routing ↗
GLM-5.3 vs. GPT-5.6 Sol on DeepSWE: Cost, Coding, and Routing ↗
deepseek v4 pro 0813 vs gpt 5 6 sol on deepswe cost coding and routing ↗
A/B test models in production ↗
DeepSeek V4 Pro 0813 vs Claude Fable 5 on DeepSWE: Cost, Coding, and Routing ↗
DeepSeek-V4 Flash 0731 vs GPT-5.6 Luna on DeepSWE: Cost and Coding ↗
Kimi K3: the complete developer guide ↗
Autoscaling endpoints for LLM inference ↗
Configuring Dedicated Model Inference ↗
ThunderAgent: 2x Faster Agentic Inference for Synthetic Data Generation at Scale ↗
Together AI announces strategic partnership with Moonshot AI to natively serve Kimi models ↗
kimi k3 vs gpt 5 6 sol on deepswe cost coding and routing ↗
kimi k3 vs claude fable 5 on deepswe cost and coding ↗
The production platform for open-weight AI inference ↗
Together AI and Y Combinator partner to launch the first dedicated GPU cluster for the YC community ↗
What does 99.9% uptime mean for inference? ↗
New in Together GPU Clusters: Reliability and control for production GPU clusters ↗
Together AI brings Thinking Machines Lab’s new model Inkling on day 0 ↗
provisioned throughput ↗
Announcing our $800M Series C to accelerate the shift to open-source AI ↗
Together AI at ICML 2026: frontier research across the full stack ↗
ParallelKernelBench: Frontier LLMs can't write fast multi-GPU kernels (yet) ↗
Kimi K2.7 Code vs Claude Fable 5: Landing pages that cost 94% less ↗
Building trust in enterprise AI: Together AI earns ISO 27001:2022 certification ↗
Serving MiniMax-M3 for efficient inference: Unlocking 1M-Token Context and Multimodality Without Regrets ↗
How Together AI built the world’s fastest speech-to-text stack ↗
Benchmarking inference at scale: coding agents ↗
Together AI and Pearl Research Labs Team Up to Reduce the Cost of AI Inference ↗
Violin: An open-source video translation skill that breaks language barriers ↗
introducing voice finder a new tool to quickly find the right voice for your app from over 600 voices ↗
Serving DeepSeek-V4: why million-token context is an inference systems problem ↗
Deploy and inference any model from HuggingFace ↗
Foundational research powering efficient inference at scale ↗
Announcing Together AI and Adaption Partnership ↗
From 732 bytes to nowhere: shutting down Copy Fail in production ↗
DeepSeek-V4 Pro now available on Together AI ↗
Together AI Brings NVIDIA Nemotron 3 Nano Omni to Developers on Day 0 ↗
Accelerate RL rollouts by up to 50% with distribution-aware speculative decoding ↗
Capacity without conflict: A guide to multi-tenant GPU cluster design for AI-native teams ↗
Parcae: Doing more with fewer parameters using stable looped models ↗
EinsteinArena: Harnessing the collective intelligence of agents in the wild to advance science ↗
What is an AI Native Cloud? ↗
AI for Systems: Using LLMs to Optimize Database Query Execution ↗
wan 2 7 now available on together ai ↗
deepgram speech to text and voice models now available natively on together ai ↗
Inside the Together AI kernels team ↗
Aurora ↗
Plan, divide, and conquer: How weak models excel at long context tasks ↗
Together AI expands fine-tuning service with tool calling, reasoning, and vision support ↗
Mamba-3 ↗
Together AI at NVIDIA GTC 2026: Explore our latest innovations across research and products ↗
Deploy real-time voice agents for every use case ↗
Build real-time voice agents on Together AI ↗
Together AI Brings NVIDIA Nemotron 3 to Developers on Day 0 ↗
New in Together GPU Clusters: Autoscaling, observability, and self-healing ↗
Key research and product announcements at the AI Native Conf ↗
FlashAttention-4: Algorithm and Kernel Pipelining Co-Design for Asymmetric Hardware Scaling ↗
Cache-aware prefill–decode disaggregation (CPD) for up to 40% faster long-context LLM serving ↗
Introducing Together AI’s new look ↗
coderforge preview ↗
How speech models fail where it matters the most and what to do about it ↗
Consistency diffusion language models: Up to 14x faster inference without sacrificing quality ↗
Introducing Dedicated Container Inference: Delivering 2.6x faster inference for custom AI models ↗
What do LLMs think when you don't tell them what to think about? ↗
rime arcana v3 turbo and rime arcana v3 now available on together ai ↗
Together AI welcomes Alon Gavrielov as VP of Infrastructure Strategy ↗
Fine-tuning open LLM judges to outperform GPT-5.2 ↗
Together Evaluations now supports comparing top commercial APIs vs. open source models ↗
DSGym: A holistic framework for evaluating and training data science agents ↗
Optimizing inference speed and costs: Lessons learned from large-scale deployments ↗
Learn how Cursor partnered with Together AI to deliver real-time, low-latency inference at scale ↗
Inside multi-node training: How to scale model training across GPU clusters ↗
How to choose the right open model for production ↗
MiniMax Speech 2.6 Turbo now available natively on Together AI ↗
Rime voice models now available on Together AI ↗
Research POV: Yes, AGI Can Happen – A Computational Perspective ↗
Announcing native availability of NVIDIA Nemotron 3 Nano, NVIDIA’s latest reasoning model ↗
Announcing Together Python SDK v2.0 ↗
Introducing AutoJudge: Streamlined inference acceleration via automated dataset curation ↗
Together AI and Meta partner to bring PyTorch Reinforcement Learning to the AI Native Cloud ↗
How to run TorchForge reinforcement learning pipelines in the Together AI Native Cloud ↗
Together AI delivers fastest inference for the top open-source models ↗
FLUX.2: Multi-reference image generation now available on Together AI ↗
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