Most AI infrastructure stops at compute
TensorWave goes further
High-Performance AMD GPU Clusters
Optimized for modern AI workloads with large memory footprints, liquid-cooled GPUs, and predictable throughput.
Managed Services
Offload the complexity of Kubernetes and Slurm, we'll handle the orchestration so your team can operate at full capacity.
Enterprise-grade Security
SOC 2 Type II posture with controls and audit readiness.
ScalarLM Software Layer
An open, production-focused orchestration and performance layer that manages training, inference, scheduling, and optimization across clusters.
Enterprise Controls & Observability
Built-in monitoring, utilization tracking, and performance insights across hardware and workloads.
ScalarLM
An Open, GPU-Agnostic Software Layer for Production LLM Workloads
ScalarLM is TensorWave's open software layer designed to give teams freedom across their entire LLM lifecycle. Built on open-source foundations and backed by a growing community of partners, ScalarLM brings training and inference together under one unified platform.
No lock-in. No closed ecosystems. Just a flexible, production-ready stack that runs wherever your compute lives.
ENTERPRISE SUITE
Built on Open Source
Powered by Community
ScalarLM integrates directly with the tools developers already trust and use every day.
vLLM
Used for high-throughput, low-latency inference.
PyTorch
Used for training, fine-tuning, and research workflows.
Hugging Face
Used for training, fine-tuning, and research workflows.
Megatron-LM
Used for distributed LLM training at scale.
One Platform for All Your LLM Workloads
From experimentation to full production, ScalarLM supports every stage of the LLM lifecycle in one place. Built for long-term freedom as hardware and performance needs evolve.
Request Enterprise AccessWith ScalarLM, teams can
Access compute seamlessly across TensorWave's AMD-powered infrastructure
Run both training and inference workloads through a single software layer
Orchestrate jobs, scale capacity, and monitor performance in one unified environment
Move models and workloads freely without being trapped in a proprietary toolchain