Engine A (Primary)
Cerebras Cloud Gemma 4 31B
0ms
TTFT
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0
Total Tok
Baseline Provider
Standard GPU Node A100-80G
0ms
TTFT
0/s
Tokens/sec
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Performance Delta
Cerebras Acceleration
Add a GPU baseline key to run a live, measured Cerebras-vs-GPU race.
Cerebras Advantage vs GPU inference
single-stream output tokens/sec — higher is better
Cerebras · Gemma 4 31B1,500 t/s
○ published — run to measure
Local GPU · RTX 4090 (consumer)55 t/s27× slower
○ reference · llama.cpp, 7–13B class
Datacenter GPU · A100 80G (hosted)110 t/s14× slower
○ reference · single-stream decode
Cerebras' edge is single-stream / per-user latency — exactly what interactive multi-agent swarms need. GPU rows are typical published single-stream figures, not live measurements; batched datacenter GPUs can reach high aggregate throughput at scale. The Cerebras bar turns to a live measurement the moment you run the swarm.
🛡️ Privacy & Compliance ConsoleDPDP Compliant
BYO-key architecture. Keys and prompts are never saved or stored server-side.
🖥️ Agentic Workspace (Local Memory)
> Idle
🔌 Agent Plugins & Addons
Hermes & OpenAI Schema SupportInstalled Addons
No plugins installed.
⚡ Swarm Engine Telemetry & VisualizerCore Pipeline
1. Planner
2. Researcher
3. Parallel Nodes
4. Synthesizer
5. Critic Loop
🤖
Awaiting task initialization to spin up the swarm...
// Telemetry trace logs will display here...
Twin Engine Output
🌐
Web application UI generated by the swarm will render here.