Together AI Pioneer Startup Program
Let's build your breakthrough AI startup, Together
The Together AI Pioneer Program is for startups training frontier models, or building amazing agentic applications.
$1 million in credit, technical advice, and marketing exposure.
Together AI Pioneer Startup Program
Partnering with frontier builders to train, optimize, and deploy the next wave of intelligent systems.
Overview
The Together AI Pioneer Program is an exclusive offering for select AI-first organizations building transformative models and applications. This program goes beyond infrastructure — it’s an end-to-end partnership across the AI development lifecycle: from massive-scale training to performance-tuned inference to global deployment.
Pioneer partners gain access to Together AI’s full platform, including our high-performance GPU clusters, custom model services, inference APIs, and ecosystem distribution — all backed by our in-house research team and proprietary kernel optimizations.
Why Join the Together AI Pioneer Startup Program?
Train Faster & Smarter
- Access purpose-built GPU clusters optimized for large-scale training workloads
- State of the art — GB200 NVL72, H200, or H100 GPUs with Infiniband networking
- WEKA or VAST storage
- Slurm or Kubernetes, NVIDIA DGCM, and self-management tools
- Observability and proactive monitoring
- Top-tier support from systems and AI experts
- Designed for multi-tenancy enabling provisioning of sub-clusters
- Competitive pricing through disaggregated Cloud setup
- Support for 16 to 1000+ GPUs per job, in North America and globally
- Transparent pricing, flexible contracts, and scaling options
Exclusive Perks:
- GPU Cluster Access: Up to $1 million in GPU Cluster credits with an annual contract, providing access to high-performance NVIDIA GPUs.
- Inference Services: Up to $50,000 in API Platform credits with an annual contract for inference services.
- API Credits: $100 in API credits upon signing up with the specific link.
These offerings are designed to reduce the cost of adopting AI technologies, making it easier for AI-native startups to scale without substantial upfront investment.
Co-Design Custom Models in Partnership w/ Research
- Partner with our ML research and infra team to pretrain or fine-tune models
- Use your own architecture or build on open-source foundations (Llama, DeepSeek, Mistral, etc.)
- Advanced support for alignment, RLHF, evals, and compression
Serve with Speed: Together Inference Engine
- Host your models on Together’s ultra-fast inference platform, optimized for latency and throughput
- Choose serverless endpoints or dedicated, VPC deployments
- Seamless integration via API, with usage-based pricing
Powered by the Together Kernel Collection
Pioneers receive early and exclusive access to Together’s proprietary Kernel Collection — a suite of low-level optimizations built for next-generation model performance.
- Enhanced attention and matmul ops inspired by and extending FlashAttention
- Custom CUDA kernels for transformer and MoE workloads
- Supports training and inference on H100, A100, H200, GB200 (coming soon)
- Up to 24% speedup for operators used frequently in training
- Up to 75% speedup for the fundamental operation used in FP8 inference
- Seamlessly integrates with your existing PyTorch stack
These kernel-level improvements deliver higher throughput, lower latency, and reduced cost per token — performance that scales with your ambition.
Distribution & Visibility
Your model isn't just hosted — it's activated.
- Featured on together.ai/models
- Included in our developer ecosystem
- Co-marketing opportunities including blogs, webinars, case studies, and press
- API monetization options via the Together Model Hub
Program Benefits Summary
Ideal Pioneer Profiles
- Foundation model builders seeking faster training + ownership
- Enterprise teams with proprietary data + strong in-house ML talent
- Research orgs scaling beyond academic infra
- Open-source model creators looking for performance + distribution
Delivering competitive pricing, strong reliability and a properly set up cluster is the bulk of the value differentiation for most AI clouds.
The only differentiated value we have seen outside this set is from a Neocloud called Together AI where the inventor of FlashAttention, Tri Dao, works. We don't believe the value created by Together can be replicated elsewhere.
— Dylan Patel, Semianalysis
- Lower
Cost20% - faster
training4x - network
compression117x
Q: Should I use the RedPajama-V2 Dataset out of the box?
RedPajama-V2 is conceptualized as a pool of data that serves as a foundation for creating high quality datasets. The dataset is thus not intended to be used out of the box and, depending on the application, data should be filtered out using the quality signals that accompany the data. With this dataset, we take the view that the optimal filtering of data is dependent on the intended use. Our goal is to provide all the signals and tooling that enables this.
Let’s Build Together
The AI frontier is moving fast — and Together AI is committed to partnering with the teams shaping what’s next. If you're ready to go beyond renting compute and become a true AI Pioneer, we’d love to talk.
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