GPU Staking (Testnet)
10 GPUs · 100 sGPUs total. Stake is TBNB (native BNB on testnet) per GPU.
Connect your wallet to participate. (status: disconnected)
On-chain & Wallet Stats
Native TBNB staking + wallet snapshot. More metrics coming soon
Wallet Balance (TBNB)
-
Symbol: BNB · Decimals: 18
Your Staked GPUs
0
Active GPU IDs (demo): -
Staked TBNB
-
Contract stores in wei. Visual uses 18 decimals.
GPU NFT GRID
1 GPU = 0.001 TBNB · Select GPU #ID to stake
Each GPU is an NFT-like unit (Serial/Grade/Uptime). Staking activates that GPU and boosts sGPU telemetry.
How staking works
Connect your wallet to start staking.
You’ll stake 0.001 TBNB per GPU (plus a small gas buffer).
Quick steps (30 sec)
No hidden actions — everything is on-chain.Connect
Connect wallet
Pick
Select GPU
Stake
Submit tx
Confirm
Wait confirm
Active
GPU activated
Flow
- Stake locks 0.001 TBNB per GPU on contract
- After confirmation, telemetry becomes BOOST
- Claim mints rewards to your wallet
Selected GPU
GPU #1 · A100 · AGGX-GPU-501768
Status: IDLE (Testnet mode) · Avg Util: 46% · Your staked GPUs: 0
AVG UTIL
46%
AVG TEMP
50°C
AVG NET
128 Mbps
QUEUE (SUM)
66
Tier / Throughput
DONE (SUM)
452
CLOCK
18:05:17
Notes
When GPU acceleration is enabled, the tick rate and telemetry fluctuation range are configured to increase in proportion to the level of activation.
For inference-related training services, latency is currently set based on our U.S. research lab due to large-scale data training.
If you encounter any issues, please contact our customer support team or email us at info@aggx.io
sGPU Runtime (x10)
Mode: STDsGPU #1
Video Transcode
MEM
18GB
PWR
41W
NET
210Mbps
QUEUE
6
DONE
39
Live Graph
Stream: 18:05:17 · Demo baseline
sGPU #2
Serving API
MEM
20GB
PWR
110W
NET
42Mbps
QUEUE
1
DONE
1
Live Graph
Stream: 18:05:17 · Demo baseline
sGPU #3
On-chain Indexing
MEM
5GB
PWR
120W
NET
139Mbps
QUEUE
3
DONE
69
Live Graph
Stream: 18:05:17 · Demo baseline
sGPU #4
Machine Learning
MEM
8GB
PWR
119W
NET
185Mbps
QUEUE
10
DONE
10
Live Graph
Stream: 18:05:17 · Demo baseline
sGPU #5
AI Inference
MEM
21GB
PWR
57W
NET
205Mbps
QUEUE
2
DONE
66
Live Graph
Stream: 18:05:17 · Demo baseline
sGPU #6
Vector Search
MEM
18GB
PWR
116W
NET
82Mbps
QUEUE
10
DONE
56
Live Graph
Stream: 18:05:17 · Demo baseline
sGPU #7
Deep Learning
MEM
9GB
PWR
102W
NET
113Mbps
QUEUE
6
DONE
51
Live Graph
Stream: 18:05:17 · Demo baseline
sGPU #8
Gaming
MEM
6GB
PWR
75W
NET
118Mbps
QUEUE
6
DONE
45
Live Graph
Stream: 18:05:17 · Demo baseline
sGPU #9
ETL / Pipelines
MEM
6GB
PWR
79W
NET
58Mbps
QUEUE
11
DONE
57
Live Graph
Stream: 18:05:17 · Demo baseline
sGPU #10
DB Management
MEM
19GB
PWR
90W
NET
130Mbps
QUEUE
11
DONE
58
Live Graph
Stream: 18:05:17 · Demo baseline
Work Queue · Log Stream
GPU #1 Console · STD
Realtime stream(queue/jobs/logs).
Queue Summary
Standard throughputQueued
18
Running
5
Latency
160ms
Node Health
Uptime
99.71%
QoS
Standard
Jitter
Mid
Alloc
Balanced
Activate GPU to see faster logs + stronger queue/telemetry.
Live Logs
(Due to security policies for company operations and training systems, only non-sensitive information is shared via the central system.)