GPU Utilization
87%
Active Workloads
24 / 31
Monthly Savings
$150.0K
Compliance Posture
100%
Cluster Utilization (24h)
CPU, GPU, and memory across all nodes
GPU
CPU
Priority Queue
Clinical > Research > Batch
CRITICAL
Stroke Detection ED
HIGH
Chest X-Ray Triage Radiology
MED
Pathology Slide Analysis Pathology
LOW
Cohort 7 Genomics Research
IDLE
Retrospective NLP Research
Active Workloads
Name
Priority
Device
Progress
Status
Stroke Detection v3.2
Viz.ai
Critical
A100 #2
Running
Path Slide QC
Paige.ai
High
A100 #1 / MIG 3g
Running
Chest X-Ray Triage
Aidoc
High
A100 #3
Running
NLP Discharge Notes
Epic + internal
Med
A100 #1 / MIG 2g
Running
Cohort 7 Genomics
Internal
Batch
—
ETA 4m
Queued
Alerts & Events
Enclave attestation passed
GPU #4 memory pressure 91%
New workload dispatched
HIPAA audit check passed
MIG repartition
All Workloads
31 total · 24 running · 7 queued
Workload
Vendor
Dept
Priority
Device
Runtime
Status
Stroke Detection v3.2
Viz.ai
Emergency
Critical
A100 #2
8s
Running
Path Slide QC
Paige.ai
Pathology
High
A100 #1 MIG
6h 02m
Running
Chest X-Ray Triage
Aidoc
Radiology
High
A100 #3
12s
Running
NLP Discharge Notes
Internal
HIM
Med
A100 #1 MIG
2m 15s
Running
Mammography AI
iCAD
Radiology
High
A100 #3 MIG
6s
Running
Cohort 7 Genomics
Internal
Research
Batch
—
—
Queued
ICU Deterioration
Dascena
ICU
Critical
A100 #4
4d 02h
Running
Retrospective NLP
Internal
Research
Batch
—
—
Preempted
Liver Segmentation
HeartFlow
Radiology
Med
V100 #1
18m
Running
Clinical Trial Matching
Tempus
Oncology
Med
V100 #2
4h 12m
Running
No workloads match this filter.
A100 #1NVIDIA A100 80GB
Healthy
MIG 3g.40gb91%
MIG 2g.20gb55%
A100 #2NVIDIA A100 80GB
Healthy
Full device72%
A100 #3NVIDIA A100 80GB
Healthy
MIG 3g.40gb88%
MIG 2g.20gb40%
A100 #4NVIDIA A100 80GB
Memory 91%
Full device95%
V100 #1NVIDIA V100 32GB
Healthy
Full device64%
V100 #2NVIDIA V100 32GB
Standby
Idle8%
Storage
NVMe cache38.2 / 48 TB
SAN (DICOM)152 / 220 TB
Audit log archive1.8 / 10 TB
Network
DICOM endpointpacs.sm.internal:11112
Egress (outbound)0 bytes · deny all
Internal throughput12.4 Gbps
Attestation heartbeat60s interval
Emergency Reservation Active
No active emergency
Reserved GPUs
3 × A100
Headroom
24 GB VRAM
Jobs preempted
2 batch · 1 research
Auto-release
03:00
Scheduling Policy
How Clique routes workloads across compute
1
Clinical
Real-time patient care (stroke, ICU, ED) · preempts all
2
High
Radiology, pathology triage · SLA < 60s
3
Medium
NLP, cohort analytics · best-effort
4
Batch
Research, retrospective · runs off-hours
Department Quotas
Fair-share allocation across departments
Department
Quota
Used
Allocation
Emergency
25%
22%
Radiology
30%
28%
Pathology
15%
12%
ICU
10%
9%
Research
15%
4%
Admin / HIM
5%
3%
HIPAA
Compliant
SOC 2 Type II
Compliant
Enclaves Attested
8 / 8
Compliance Checks
Continuous verification against HIPAA, SOC 2, and internal policy
Check
Framework
Last Run
Interval
Result
Data residency (no egress)
HIPAA §164.312
34s ago
60s
Pass
Encryption at rest (AES-256)
SOC 2 CC6.1
3m ago
5m
Pass
Encryption in transit (TLS 1.3)
SOC 2 CC6.7
22s ago
1m
Pass
Enclave attestation
TEE
41s ago
60s
Pass
Access control audit (RBAC)
HIPAA §164.308
11m ago
15m
Pass
Audit log integrity (hash chain)
HIPAA §164.312(b)
2m ago
5m
Pass
Vendor BAA coverage
HIPAA §164.504
18m ago
1h
Pass
Patch compliance
SOC 2 CC7.1
3h ago
6h
Pass
Audit Log
Immutable, hash-chained · 7-year retention · streaming live
Confidential Compute Enclaves
Hardware-attested execution environments
Enclave
TEE
Device
Measurement
Last Verified
Status
viz-ai-stroke
AMD SEV-SNP
A100 #2
SHA-384:a7b2...e491
38s ago
Verified
paige-path
Intel TDX
A100 #1
SHA-384:c9f1...22bd
52s ago
Verified
aidoc-cxr
Intel TDX
A100 #3
SHA-384:3e8d...7fa0
41s ago
Verified
icad-mammo
Intel TDX
A100 #3
SHA-384:d41f...6a27
18s ago
Verified
dascena-icu
AMD SEV-SNP
A100 #4
SHA-384:1b02...9c6e
29s ago
Verified
heartflow-seg
AMD SEV-SNP
V100 #1
SHA-384:72c8...b054
55s ago
Verified
tempus-trial
Intel TDX
V100 #2
SHA-384:8a4c...0d13
47s ago
Verified
internal-nlp
Intel TDX
A100 #1
SHA-384:5f9e...3b88
33s ago
Verified
V
Viz.aiStroke detection, PE triage
Active · 2 models
P
Paige.aiPathology QC, prostate grading
Active · 3 models
A
AidocChest X-ray triage, C-spine
Active · 4 models
D
DascenaICU deterioration, sepsis
Active · 2 models
T
TempusClinical trial matching
Active · 1 model
I
iCADMammography AI
Active · 1 model
H
HeartFlowLiver, cardiac segmentation
Active · 2 models
Add vendor
Deploy into sealed enclave
Train a model
Drag-and-drop a labeled dataset. We'll handle the rest: architecture, batch size, validation, audit trail.
1
Drop your dataset
DICOM, NIfTI, CSV, or JSONL, up to 50 GB. Stays on-prem.
Drop files or folder here
or
or start from a sample:
2
Pick a task
We'll auto-select the optimal pipeline based on your data and hardware.
Run inference
One-off inference against a deployed model. Results land back in your EHR the moment the run completes.
Stroke triage
Viz.ai LVO detection · v3.2.1 · attested
P95 latency 8.1s
Chest X-ray triage
Aidoc CXR · v2.4 · attested
P95 latency 12.4s
Mammography
iCAD ProFound · v4.1 · attested
P95 latency 6.2s
Discharge note NLP
Clinical-BERT · v1.7 · attested
P95 latency 2m 15s
Platform Settings
Scheduling policy
Priority order for workload routing
GPU partitioning (MIG)
Multi-instance GPU on A100 #1, #3
DICOM endpoint
PACS integration address
Attestation interval
How often enclaves are re-verified
Audit retention
HIPAA-required log retention
Egress policy: DENY ALL
Block outbound network from enclaves
Auto-preemption of batch workloads
Let clinical jobs interrupt research
Identity provider
SSO for admin console
Time zone
For scheduling and reporting