Products

SwarmSimulator.

Simulates inference workloads on a given chip architecture before deployment. Produces cost, throughput, latency, and SLO projections. The only full-fleet inference simulator on the market.

SwarmOne boosted personnel efficiency by about 90%, significantly reduced training costs, and enhanced delivery, making us far more competitive in our market.

Dr. Michael Erlihson
Dr. Michael Erlihson
AI Tech Lead, Salt Security

The Problem

Stop Guessing. Start Simulating.

Every Deployment Is a Gamble Today

Every new model deployment, every new customer onboarding, every cluster reconfiguration - will the SLOs hold? Will utilization stay high? Will one tenant's spike crash another's latency? Today, you find out by rolling out and running A/B tests that degrade user experience.

Predict Before You Commit

SwarmSimulator answers the question your customers ask - '1,000 chips, 10K users, 150ms latency - what's my cost?' - in hours, not months-long POCs. Powered by real agentic workloads from AgenticSwarmBench.

Capabilities

What SwarmSimulator Does

Full-Fleet Inference Simulation

Simulates inference workloads across your entire cluster before deploying. Models multi-tenant interactions, predicts contention, SLO violations, and capacity bottlenecks.

Cost & Performance Projections

Produces cost-per-token, throughput, latency, and SLO compliance data for any hardware configuration. Compare silicon alternatives under identical, reproducible conditions.

Configuration Testing in Simulation

Tests batch sizes, model placements, scaling policies, and disaggregation strategies in simulation - not production. Eliminate production surprises.

Powered by AgenticSwarmBench

Real recorded agentic workloads, not synthetic benchmarks. SwarmSimulator uses AgenticSwarmBench data to simulate what your users actually do - coding sessions, multi-step reasoning, agentic swarms.

Hardware-Aware Modeling

Understands the architecture of every chip in your fleet - SRAM sizes, memory bandwidth, FLOPs capacity, interconnect speeds - and uses this to predict performance before deployment.

Capacity Planning as Science

Provides cost and performance projections for new hardware purchases. Make capacity planning a data-driven process, not a guess.

Outcomes

The Result

Deploy with Confidence

Eliminate production surprises. Simulation-validated configurations mean you know what will happen before a single GPU is committed.

Avoid A/B Testing on Real Users

Existing benchmarks don't predict user patterns or satisfaction. A/B measurements on real users annoy them and damage your reputation. SwarmSimulator provides the predictive analytics you need without touching production.

See SwarmSimulator in Action

Schedule a demo and see how simulation-driven deployment eliminates guesswork from your inference infrastructure.