Why this matters in emergency care
Fast inference turns an agent workflow from a waiting-room task into an interactive review.
The demo sends the same raster electronic medical record image and same physician-note review task through Cerebras and a GPU path. The point is practical: if a multi-agent chart review comes back in seconds, an ED clinician can inspect, edit, and move on while the encounter is still live.
Start here - click first
Live agent progress
Waiting to start: both providers will launch together from one server timestamp
1 Input
Stitched electronic medical record image
Synthetic demo image generated for this project. Not selectable text; Gemma must read the pixels.
2 Cerebras output
Physician note review packet
Output appears here after you run the live side-by-side benchmark.HPI Draft
Waiting for run
Exam / Status Summary
Waiting for run
Result Synthesis
Waiting for run
Medical Decision Reasoning
Waiting for run
Image extraction
Key facts read from pixels
3 Speed benchmark
Benchmark waiting
press the red button to measure Cerebras against the GPU pathClaim support check
Shows whether each note claim came from the image, a medical reference, or a hospital-context flag, then marks what the clinician must verify.
Local-context flags
Troponin assay, repeat timing, and local pathway caveats.
Safety boundary
No diagnosis, treatment, disposition, or clinical validation claim.