GPU CLUSTERS

DISTRIBUTED TRAINING
INFRASTRUCTURE

Multi-node GPU clusters connected with InfiniBand for workloads that don't fit on a single machine. We provision the hardware, configure the fabric, and manage the scheduler. You submit training jobs.

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PURPOSE-BUILT FOR TRAINING

INFINIBAND INTERCONNECT

400 Gb/s InfiniBand with GPUDirect RDMA at 3,200 Gb/s aggregate. Direct GPU-to-GPU memory transfers without CPU involvement. Non-blocking, rail-optimized topology.

SLURM JOB SCHEDULING

Managed Slurm with a dedicated head node. Submit jobs with sbatch, monitor with squeue, scale with srun. Full Slurm accounting for usage tracking and resource allocation.

LATEST GPU HARDWARE

H100 SXM, H200, and B200 accelerators. 80GB to 192GB VRAM per GPU. NVLink within nodes, InfiniBand across nodes. The hardware large-scale training demands.

SHARED FILESYSTEMS

NFS persistent storage mounted across all cluster nodes. Your datasets, checkpoints, and artifacts survive job restarts. Local NVMe on each node for fast scratch space.

DEDICATED CLUSTERS

Full physical isolation. Your cluster, your nodes, your network fabric. No multi-tenancy, no shared resources, no noisy neighbors affecting your training performance.

FLEXIBLE COMMITMENTS

Weekly, monthly, or quarterly reservations. Scale your cluster up or down at renewal. No multi-year lock-ins — commit for the duration your project actually needs.

HOW IT WORKS

01

DEFINE YOUR CLUSTER

Tell us how many GPUs, which type, and how long. We'll confirm InfiniBand availability and provision timeline.

02

WE PROVISION & CONFIGURE

We set up your nodes, verify the InfiniBand fabric, install Slurm, mount shared filesystems, and configure CUDA and NCCL.

03

SUBMIT TRAINING JOBS

SSH into your head node and sbatch your first job. Your cluster is ready for distributed training across all allocated nodes.

BUILT FOR

PRE-TRAINING

Train foundation models from scratch on large datasets. Multi-node data parallelism and tensor parallelism across hundreds of GPUs with high-bandwidth interconnect.

DISTRIBUTED FINE-TUNING

Fine-tune models too large for a single node. Distributed LoRA, FSDP, and DeepSpeed across your cluster with checkpointing to shared storage.

RESEARCH

Full SSH access and root control. Run custom training code, experiment with novel architectures, and benchmark hardware configurations with no platform restrictions.

READY FOR GPU-SCALE TRAINING?

Tell us about your training workload and we'll design the right cluster configuration.

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