THE COMPLETE AI INFERENCE SUITE.
Simulate · Orchestrate · DisaggregateMulti-Node · Multi-Model
Multi-Silicon
Three products, one suite. Driving the Agentic Inference Build Out.Driving the Agentic Inference Build Out.Utilize all your silicon and all your infrastructure.
From Commodity to Profit
Cloud Stack
Premium Inference
Commodity
Cloud Stack
Profit
Premium Inference
No software kit gives you this software stack out of the box
No software kit gives you this software stack out of the box
Only SwarmOne
Complete Inference Suite
Three Products. One Suite.
Simulator predicts and prescribes. Orchestrator executes at scale. Disaggregator routes each inference phase to the silicon built for it. The loop closes continuously.
AgenticSwarmBench
The open-source benchmark for LLM inference under agentic interactive workloads.
The open-source tool: Real recorded agentic sessions - multiple models, languages, and tasks - hundreds of millions of tokens. Automated replay against your hardware across providers and GPU types.
SwarmOne's suite: Inference server teams already use ASB's replay to optimize caching and kernels for frontier models. With SwarmOne, that same power works across your entire fleet - any provider, any GPU mix, any demand pattern.
SwarmOne optimizes your inference - whether you're deploying, developing, or both.
What it measures
Technology
The Product Suite for the Agentic Inference Build Out
Three axes of heterogeneity, solved together: tenants sharing hardware, models routed to matching compute, silicon unified in one pipeline.
Architecture
Prefill/Decode Disaggregation - The Heterogeneous Advantage
Inference is not one workload. Prefill is compute-bound - big matrix multiplications, batch-friendly, loves dense FLOPs. Decode is memory-bandwidth-bound - small ops, latency-sensitive, loves fast SRAM and good interconnect.
No single chip is optimal for both. SwarmOne disaggregates them across silicon - AMD MI300X for prefill, Tenstorrent for decode - in the same inference pipeline, under one SLO, managed by one orchestrator.
Heterogeneous compute, finally working.
SwarmOne
SwarmOrchestrator
Prefill Phase
Compute-bound · Dense FLOPs
Decode Phase
Bandwidth-bound · Fast SRAM
Single Response, One SLO
This combination delivered results we never thought possible.
Results
What Teams Building at Scale Say
Faster Agentic Inference
Token throughput on mixed GPU clusters
“SwarmOne boosted personnel efficiency by about 90%, significantly reduced training costs, and enhanced delivery, making us far more competitive in our market.”
Ecosystem
Built for the Stack You Already Use
SwarmOne works on any silicon, cloud and major framework. It’s multi-chip, multi-node, multi-cluster, multi-cloud. No rewrites. No lock-in.
Chip Providers
30+ GPU Providers
ML Frameworks & Tools
Comparison
A Category of One - for the Agentic Inference Build Out
SwarmOne vs. the alternatives, including NVIDIA Dynamo. No comparison.
| Capability | SwarmOne | DynamoNVIDIA | vLLM | Ray Serve | Triton | Cloud AI |
|---|---|---|---|---|---|---|
| Predictive SLO Simulator | ||||||
| Multi-Tenant Orchestration | ||||||
| Multi-Vendor Silicon Orchestration | ||||||
| Prefill/Decode Dynamic Disaggregation | ||||||
| SLO-Based Autoscaling | ||||||
| Intelligent Scheduling Engine | ||||||
| KV-Aware + Prefix-Aware Routing | ||||||
| Automatic Workload Profiling | ||||||
| Cost Per Million Tokens Optimization | ||||||
| Multi-Cloud + On-Prem Unified |
Ready to optimize your AI inference?
See how SwarmOrchestrator, SwarmDisaggregator, and SwarmSimulator cut inference costs by 80% and eliminate deployment guesswork.