Accelerated Compute | Together AI

Research-optimized GPU compute for AI Natives and enterprises

Train, fine-tune, and deploy on self-service GPU clusters optimized by frontier research — with flexible pricing, production reliability, and security built in.

Why Together Accelerated Compute?

Research-led performance, NVIDIA-validated architecture, and enterprise-grade reliability to train, fine-tune, and serve at any scale.

Faster training & inference

Together Kernel Collection delivers custom CUDA kernels from the FlashAttention team — 90% faster training on NVIDIA Blackwell GPUs with software-led optimization on top of NVIDIA accelerated hardware.

Predictable performance at scale

Go from zero to running workloads in minutes with batteries-included GPU clusters. Virtualized for elasticity, bare-metal where it matters — GPU and network performance without compromise. Pre-configured drivers, built-in observability, and managed orchestration included.

Production reliability & security

Self-healing infrastructure with 99.9% uptime, backed by SOC 2 Type II encryption in transit/at rest, and tenant-level isolation.

Performance-optimized NVIDIA hardware

GPU Clusters, built for production

Choose the right GPUs, deploy with the orchestration stack you prefer, and operate with the observability and security required for production.

Managed infrastructure

Deploy GPU clusters with integrated observability, managed orchestration, drivers, and networking entirely pre-configured. Run production workloads instantly without manual infrastructure setup.

Orchestration flexibility

Deploy Kubernetes for open-source extensibility, or run Slurm for precise hardware control and gang scheduling. Both fully managed.

Self-healing infrastructure

Keep workloads running through hardware events using automated remediation and continuous health checks. Every GPU passes rigorous acceptance testing before joining the cluster.

Flexible pricing modes

On-demand for flexibility, reserved for guaranteed capacity and better rates. Both fully self-serve.

Frontier research-powered training performance

The Together Kernel Collection, built by our Chief Scientist Tri Dao (creator of FlashAttention), delivers improved training and inference performance.

TKC

ThunderKittens

90% faster training
Training a 70B parameter Llama-architecture model (BF16) with an optimized TorchTitan + Together Kernel Collection (TKC) reached 15,264 tokens/second/GPU on NVIDIA HGX B200, up from 8,080 tokens/second on NVIDIA HGX H100—a 90% jump in training speed.

Deployments for any scale

GPU Clusters

GPU clusters at scale
Spin up clusters in minutes with Kubernetes or Slurm. Choose on-demand or reserved capacity. Scale from 8 GPUs to 4,000+.

AI Factory

Custom infrastructure at frontier scale
Bespoke infrastructure at factory scale, starting from 1,000+ GPUs. Powered by NVIDIA accelerated compute with Together's research team continuously optimizing performance for your AI workloads.

Regions and availability zones

Launch close to your users and data across 25+ cities.

USA

2GW+ in the portfolio with 600MW of near-term capacity in US.

Europe

150 MW+ available in Europe: France, Netherlands, Sweden, and Romania.

Asia & Middle East

Options available based on the scale of the projects in Asia and the Middle East.

Production-grade security

We take security and compliance seriously, with strict data privacy controls to keep your information protected. Your data and models remain fully under your ownership, safeguarded by robust security measures.

As an NVIDIA Cloud Partner, Together builds and operates clusters on NVIDIA NCP reference architectures for predictable performance and faster time to production. Your data and models remain under your control with strict privacy safeguards and SOC 2–compliant security practices.