Business Profile
[Together AI] provides an AI acceleration cloud that enables fast inference, fine-tuning, and training of frontier models on NVIDIA GPUs, with self-service Instant Clusters, serverless and dedicated endpoints, and enterprise-grade security/compliance.
AI researchers, AI engineers, and developers building, fine-tuning, or deploying open-source and proprietary models; AI-native companies needing scalable GPU compute for training, fine-tuning, and inference; teams requiring secure, compliant AI infrastructure.
API-first self-service GPU infrastructure with instant cluster provisioning, open-source model support and OpenAI-compatible APIs, no vendor lock-in, enterprise-grade security (SOC 2 Type 2, HIPAA), and optimization stack (Together Kernel Collection, FP8 inference kernels, QTIP quantization, speculative decoding) across multi-cloud and on-prem environments.
Instant Clusters can be provisioned in minutes; clusters can scale from single node to multi-node configurations; burst capacity for production inference supports rapid capacity expansion as needed.
Together AI enabled 60% cost savings and a 5x performance breakthrough in viral AI video generation when standard inference frameworks failed.
Lead Data Scientist at Fractal AI research Lab described how Together Instant Clusters let them spin up large GPU clusters on demand for 24–48 hours to run intensive training and then scale back down, boosting productivity and research velocity.
The AI Acceleration Cloud that enables fast inference, fine-tuning, and training of frontier models on GPU infrastructure, with self-service Instant Clusters, serverless and dedicated endpoints, Open-source model support, and enterprise-grade security and governance.
AI researchers, AI-native companies, and developers needing scalable GPU compute to train, fine-tune, and deploy sophisticated AI models across open-source and compatible APIs.
End-to-end, API-first AI compute platform delivering instant GPU clusters, flexible inference endpoints, and full model ownership with secure, compliant infrastructure and open-source model support—without vendor lock-in.
{"Kubernetes or Slurm for deployment/orchestration","NVIDIA GPUs (GB200, H200, H100; Blackwell availability in roadmap)","High-performance networking (NVIDIA Quantum InfiniBand, NVLink, NVSwitch)","Shared storage for training/checkpointing, version-pinned drivers/CUDA","Open-source model integration and OpenAI-compatible APIs"}
Pricing is shown per GPU-hour with term options: 1 Week - 3 Months, 1 - 6 Days, or Hourly. Hardware rates example: HGX H100 Inference − $1.76 /h (1 Week-3 Months), $2.00 /h (1-6 Days), $2.39 /h (Hourly); HGX H100 SXM − $2.20 /h, $2.50 /h, $2.99 /h; HGX H200 − $3.15 /h, $3.45 /h, $3.79 /h; HGX B200 − $4.00 /h, $4.50 /h, $5.50 /h. Shared storage $0.16 per GiB-month; data transfer is free (egress/ingress).
Based on matching: problems solved, target roles, key features, industries
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