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Onboarding
agent v2.7.1
datacenter-api 2026.07
54/64
Nodes online
600
GPUs contracted
54.2%
Fleet utilization
68.7%
Capacity booked
238.7 kW
Draw
$1325/hr
Accruing
All regions
All states
All modalities
64 of 64
Training
Inference
Idle
Maintenance
Offline
R06-N06
4×A100
4%
R08-N07
8×B200
0%
R10-N12
8×B200
90%
R09-N20
8×L40S
4%
R04-N16
16×H200
0%
R11-N24
8×A100
0%
R05-N14
8×H100
67%
R01-N24
8×A100
68%
R12-N05
8×B200
98%
R11-N05
16×L40S
5%
R01-N07
8×L40S
86%
R06-N20
16×H200
61%
R11-N10
4×H200
8%
R06-N17
16×L40S
64%
R03-N23
4×H200
65%
R09-N12
8×B200
3%
R09-N12
16×B200
91%
R01-N15
8×A100
4%
R03-N14
16×H200
6%
R05-N22
8×A100
92%
R07-N24
16×A100
97%
R04-N11
8×A100
98%
R02-N03
8×H100
0%
R07-N06
8×H100
95%
R04-N06
16×H100
95%
R03-N20
16×B200
92%
R10-N05
8×L40S
93%
R04-N06
16×H200
0%
R12-N11
16×B200
92%
R05-N09
8×B200
64%
R11-N06
4×H200
90%
R09-N02
16×B200
91%
R02-N18
8×H100
90%
R12-N04
4×H200
4%
R09-N09
8×H200
87%
R06-N20
8×B200
5%
R03-N18
8×H200
88%
R01-N08
4×B200
62%
R01-N16
8×A100
5%
R08-N17
4×L40S
96%
R05-N15
8×H200
3%
R10-N13
8×L40S
93%
R02-N05
8×B200
72%
R05-N17
4×A100
0%
R05-N11
8×B200
93%
R06-N20
8×A100
66%
R01-N22
16×L40S
63%
R01-N11
16×B200
94%
R07-N03
8×L40S
59%
R06-N20
8×H100
0%
R12-N18
16×A100
66%
R09-N14
8×L40S
0%
R08-N15
8×H100
93%
R01-N11
8×H200
90%
R09-N12
8×A100
7%
R12-N02
4×B200
97%
R11-N03
16×H200
69%
R02-N15
4×A100
0%
R05-N18
8×A100
0%
R04-N03
8×B200
68%
R01-N12
8×B200
64%
R04-N01
4×L40S
62%
R07-N16
16×H200
59%
R04-N22
4×L40S
90%
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