Together AI
Category: AI Infrastructure
The AI Native Cloud platform that provides production-scale inference, training, and fine-tuning for open-source generative AI models with research-optimized infrastructure. Together AI was founded in 2022. The company is led by Vipul Ved Prakash. Based in San Francisco, United States. Team size: 355. Total funding raised: $533.5M. Latest round: Series B ($305.0M, Feb 2025). Key investors include General Catalyst, Salesforce Ventures, NVIDIA, Kleiner Perkins, Prosperity7 Ventures, Lux Capital, Coatue, Emergence Capital.
AMW Analysis
Together AI operates an AI-native cloud platform providing inference, training, and fine-tuning infrastructure for open-source generative AI models, positioning its offering around faster inference, lower costs, and faster pre-training than traditional cloud providers. Since its Series B in early 2025, the company's news flow shows accelerating fundraising: a reported $1B raise at a $7.5B valuation in March 2026, alongside disclosed annual revenue reaching roughly $1B, followed by an $800M Series C in July 2026 at an $8.3B valuation led by Aramco Ventures with participation from Vista Equity Partners, General Catalyst, Emergence Capital, and Nvidia among others. Existing investors including General Catalyst and Nvidia have continued to participate across rounds. On the product side, Together AI introduced the ATLAS Adaptive Speculator, an adaptive speculative decoding technique combined with FP4 quantization designed to speed up large language model inference by learning from real-time workloads. Taken together, the coverage reflects a company scaling valuation, revenue, and investor backing in tandem with continued technical investment in inference efficiency, within a broader market of specialized GPU infrastructure providers.
AMW analysis, generated from 6 tracked news signals.
- Founded
- 2022
- Headquarters
- San Francisco, United States
- Team size
- 355
- Total funding
- $533.5M
Value proposition
Democratizes AI access by combining cutting-edge systems research with production infrastructure, delivering 2x faster inference, 60% lower costs, and 90% faster pre-training compared to traditional cloud providers.
Products and solutions
Serverless Inference API, Batch Inference API, GPU Clusters & Dedicated Deployments, Together Fine-tuning Platform, Together Enterprise Platform, Together Instant Clusters (self-service NVIDIA GPUs), Code Sandbox for AI applications, Managed Storage for AI workloads, Reinforcement Learning API, ATLAS-2 Adaptive Inference System, ThunderAgent for Agentic Workloads, Voice AI Platform (sub-500ms latency), Together Reasoning Clusters
Unique value
Bridges frontier research and real-world deployment with an industry-leading systems research lab led by creators of FlashAttention and ThunderKittens. The same researchers who publish foundational work ship it into production systems, creating a direct research-to-production pipeline.
Target customer
AI-native companies, enterprise development teams, AI researchers, and organizations building production AI applications requiring scalable, cost-effective infrastructure.
Industries served
AI Infrastructure, Enterprise Software, Cloud Computing, Generative AI Applications, AI-Native Startups, Machine Learning Operations, Data Science & Analytics
Technology advantage
Proprietary Together Kernel Collection delivers up to 2x faster inference, 60% cost reduction, and 90% faster pre-training through cutting-edge kernel optimizations. FlashAttention 4 provides up to 4x performance improvements at long sequence lengths. ThunderKittens enables simple, high-performance AI kernels that match or outperform hand-written CUDA code.
How they differentiate
Research-driven AI acceleration cloud combining proprietary kernel optimizations (Together Kernel Collection, FlashAttention) with full-stack platform for open-source model training, fine-tuning, and deployment. Delivers 2x faster inference, 60% cost reduction, and 90% faster pre-training through cutting-edge systems research that bridges academia and production.
Main competitors
CoreWeave, Modal, Anyscale, Replicate, Fireworks.ai
Key partnerships
NVIDIA Cloud Partner with NVIDIA Blackwell GPU deployment, AWS Marketplace availability for enterprise deployment, Hypertec for 36,000 GPU cluster co-build, Cartesia for ultra-low latency voice AI, Pegatron and 5C for NVIDIA GB300 NVL72 and HGX B200 liquid-cooled rack deployment in U.S. data centers, Leading AI-native customers including Cursor, Decagon, and emerging AI companies, Strategic investors including General Catalyst, NVIDIA, Salesforce Ventures, Kleiner Perkins
Notable customers
Cursor, Pika Labs, Decagon, Cartesia, Salesforce, Zoom, Stanford University, Carnegie Mellon University
Major milestones
Series B raised $305M at $3.3B valuation led by General Catalyst (Feb 2025), Partnership with Hypertec to co-build 36,000 NVIDIA GB200 GPU cluster, AWS Marketplace availability for enterprise deployment, Acquisition of CodeSandbox for built-in code interpretation (Dec 2024), Acquisition of Refuel.ai for data transformation capabilities (May 2025), Deployment of NVIDIA Blackwell GPUs across infrastructure, Launched Together Enterprise Platform and Together Instant Clusters, Reached unicorn status with $1.25B valuation (Mar 2024), Launched Voice AI platform with sub-500ms latency (Mar 2026), Reportedly in talks to raise ~$1B at $7.5B valuation (Mar 2026)
Growth metrics
Reached ~$44M ARR in October 2024 with 10x year-over-year growth; scaled to ~$300M ARR by September 2025 and ~$1B ARR by February 2026. Serves 1M+ developers and 450,000+ registered users. Completed 27 customer deals exceeding $1M each.
Market positioning
Leading open-source AI infrastructure platform positioned as premium alternative to general-purpose cloud providers, serving both AI-native startups and Fortune 500 enterprises with hybrid GPU infrastructure model
Geographic focus
North America (primary), Europe, with global developer community across 190+ countries
Patents and IP
Open-source research contributions include FlashAttention-1, 2, 3, and 4 (widely adopted attention optimization), ThunderKittens kernel framework, ATLAS adaptive inference system, and numerous peer-reviewed papers at top AI conferences (ICLR, NeurIPS). Research published at Princeton University, Stanford University, and UC Berkeley.
About Vipul Ved Prakash
Vipul Ved Prakash is a seasoned entrepreneur and technologist with over two decades of experience in building and scaling technology companies. Before Together AI, he co-founded Topsy, a social media search engine that was acquired by Apple for a reported $200 million, where he served as Senior Director leading search and AI initiatives for Siri. He also co-founded Cloudmark, a pioneer in anti-spam technology. His career is marked by a consistent focus on open-source technologies and building large-scale, impactful systems.
Latest news about Together AI
- IBM and Together AI sign $240M multi-year deal to build AI inference cluster on IBM Cloud with Nvidia HGX B300
- Together AI raises $800M at $8.3B valuation, neocloud for open-source models gains steam
- Together AI is raising $1B at a $7.5B valuation, more than doubling its worth in just one year while revenue tripled to $1B annually. This massive funding round signals the neocloud market's rapid mat
- Together AI is raising $1B at a $7.5B valuation, more than doubling from $3.3B in early 2025, with annual revenue reaching approximately $1B. This Nvidia-backed company's meteoric rise reflects a broa
- Together AI's new ATLAS Adaptive Speculator is a major breakthrough, achieving up to a 400% speedup for large language model inference by learning from real-time workloads. This adaptive speculative d
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Official website: https://www.together.ai