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Description
Provider Audit Request
Basic Information
| Field | Value |
|---|---|
| Provider Address | akash10y8s5zfrplv8m5wh4xa9wndfsslrfajqt0zg0h |
| Provider Domain | provider.depinminingjob.sbs |
| Organization | depinminingjob |
| Region | US East (Virginia, Azure) |
| Infrastructure | Azure ML Compute (Low Priority) |
Provider Status
🔗 Live Status: https://provider.depinminingjob.sbs/status
Resources Summary
| Resource | Total | Details |
|---|---|---|
| GPU | 6x NVIDIA A100 | 80GB HBM2e VRAM each |
| CPU | 148 vCPUs | AMD EPYC |
| Memory | 1,306 GB | DDR4 ECC |
| Storage | ~380 GB NVMe | Ephemeral |
| Nodes | 4 total | 3 GPU workers + 1 control plane |
Node Details
| Node | Role | CPU | Memory | GPU | Storage |
|---|---|---|---|---|---|
| allenai-eus-1 | Worker | 48 vCPU | 433 GB | 2x A100 80GB | 117 GB |
| allenai-eus-2 | Worker | 48 vCPU | 433 GB | 2x A100 80GB | 117 GB |
| allenai-eus-3 | Worker | 48 vCPU | 433 GB | 2x A100 80GB | 117 GB |
| vmi3003502 | Control Plane | 4 vCPU | 7 GB | - | 137 GB |
Provider Attributes
attributes:
- key: host
value: akash
- key: tier
value: community
- key: organization
value: depinminingjob
- key: region
value: us-east
- key: capabilities/gpu/vendor/nvidia/model/a100
value: "true"
- key: capabilities/gpu/vendor/nvidia/model/a100/ram/80Gi
value: "true"
- key: capabilities/gpu/vendor/nvidia/model/a100/interface/pcie
value: "true"
- key: capabilities/gpu/quantity
value: "6"
- key: capabilities/storage/1/class/default
value: "true"
- key: capabilities/storage/1/class/beta2
value: "true"
- key: capabilities/storage/2/class/beta2
value: "true"
- key: capabilities/storage/1/persistent
value: "true"Technical Stack
| Component | Version/Details |
|---|---|
| Kubernetes | K3s v1.34.3 |
| Container Runtime | containerd 2.1.5 |
| OS | Ubuntu 22.04.5 LTS |
| Kernel | 5.15.0-1074-azure |
| GPU Driver | NVIDIA Driver + Container Toolkit |
| Network | Tailscale VPN mesh |
| SSL | Let's Encrypt (auto-renewal) |
| Proxy | Nginx reverse proxy |
| Provider | Akash Provider v0.10.5 |
Pricing (USD/hour)
| Resource | Price | Notes |
|---|---|---|
| GPU (A100) | $0.65/hr | Competitive for A100 80GB |
| CPU | $0.003/vCPU/hr | Per vCPU |
| Memory | $0.001/GB/hr | Per GB RAM |
| Storage | $0.0001/GB/hr | Ephemeral storage |
Verification Checklist
- Provider is online and accessible
- GPU resources detected and available (6x A100)
- SSL certificate valid (Let's Encrypt)
- Bidding on orders
- Provider attributes configured
- Pricing configured
Contact
| Platform | Contact |
|---|---|
| GitHub | @wollfoo |
| Discord | davidtien7298 |
Live Provider Status (JSON)
Click to expand
{
"address": "akash10y8s5zfrplv8m5wh4xa9wndfsslrfajqt0zg0h",
"cluster_public_hostname": "provider.depinminingjob.sbs",
"cluster": {
"leases": 0,
"inventory": {
"available": {
"nodes": [
{
"name": "allenai-eus-1",
"allocatable": {"cpu": 48000, "gpu": 2, "memory": 464931512320}
},
{
"name": "allenai-eus-2",
"allocatable": {"cpu": 48000, "gpu": 2, "memory": 464931504128}
},
{
"name": "allenai-eus-3",
"allocatable": {"cpu": 48000, "gpu": 2, "memory": 464931512320}
}
]
}
}
},
"bidengine": {"orders": 0},
"manifest": {"deployments": 0}
}Additional Notes
- Provider uses Azure ML Compute with low-priority instances for cost efficiency
- Designed for AI/ML workloads requiring high-end A100 GPUs
- High-bandwidth network connectivity via Azure backbone
- Tailscale VPN for secure worker-to-control-plane communication
- Auto-scaling capable (can add more GPU nodes as needed)
Thank you for reviewing our provider audit request!
Please let me know if any additional information is needed.
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