Data Centers
From neoclouds to hyperscale operators and enterprise AI platforms, infrastructure teams face the same math: agentic workloads multiply inference volume while power and capital stay constrained. Tsavorite delivers scale-up AI infrastructure that changes that equation.
A better AI unit economy
The OPU deliver rack-scale performance at a fraction of the power and cost of GPU incumbents, and slot into the infrastructure you already operate.
90% lower cost per token
Lower capital cost, half the power, and higher utilization compound into an order-of-magnitude drop in cost per token.
10x performance vs GPUs
By eliminating CPU, GPU, and NIC handoffs, the OPU turns wasted data movement into usable inference performance
Operations-ready by design
Redfish management, full-stack telemetry, secure boot, and confidential compute integrate with existing datacenter tooling.
Rack-scale numbers that matter
Enterprise or OCP
Standard rackscale form factors
512
OPUs per rack
8000
OPUs per pod
Scale-up, not rip-and-replace
OPU systems deploy in existing infrastructure: standard 19-inch racks, air cooling, and ethernet to your top-of-rack switches. MultiPlexus links nodes into one coherent compute domain, so capacity grows by adding nodes rather than by re-architecting the network.
One coherent compute domain
MultiPlexus connects OPUs across nodes with load/store semantics so all nodes behave as a single machine pooling compute, memory and storage. A single node runs trillion-parameter models; a full rack serves trillion parameter modes at over 6,000 tokens per second per user.
Software your customers already run
TAOS runs vLLM, SGLang, Ray Serve, PyTorch, Kubernetes, and the rest of the modern AI stack unchanged, with one-click model deployment from Hugging Face. Full-stack observability and an agentic optimizer keep utilization high and improve performance continuously, while secure boot, trusted execution, and confidential compute support multi-customer environments.
Related insights
Our architecture provides unmatched computational efficiency, allowing intricate AI models to operate with low latency and high throughput.
Beyond GPUs: why we built Tsavorite
Our view is that AI has outgrown the way the industry builds computers for it. Adding more of the same hardware is no longer the answer. AI needs an architecture designed for it from the start, one that becomes more efficient as it grows rather than less.
Tsavorite Scalable Intelligence Sets New Frontier for AI Efficiency and Scale with the Omni Processing Unit
Rethink your AI infrastructure economics
Model the TCO for your workloads and see the OPU in action. Talk to us about evaluation and deployment.
Talk to our team
