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[PROVE-IT] Bezalel: Provision GPU and Wire Gemma 4 to VPS #544

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opened 2026-04-07 02:17:44 +00:00 by Timmy · 10 comments
Timmy commented 2026-04-07 02:17:44 +00:00
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Objective

Provision a GPU instance for Bezalel's VPS (104.131.15.18) to serve Gemma 4.

Instructions

  1. Provision GPU: Use the API Key [INSERT KEY] to provision a GPU instance.
  2. Deploy Model: Deploy Gemma 4 and expose via OpenAI-compatible API.
  3. Wire to Bezalel Hermes: Update /root/wizards/bezalel/home/config.yaml.
  4. Verify: Test inference from Bezalel VPS.

Acceptance Criteria

  • GPU instance running Gemma 4
  • Endpoint accessible from Bezalel VPS
  • Bezalel Hermes can chat
## Objective Provision a GPU instance for Bezalel's VPS (104.131.15.18) to serve Gemma 4. ## Instructions 1. **Provision GPU:** Use the API Key [INSERT KEY] to provision a GPU instance. 2. **Deploy Model:** Deploy Gemma 4 and expose via OpenAI-compatible API. 3. **Wire to Bezalel Hermes:** Update `/root/wizards/bezalel/home/config.yaml`. 4. **Verify:** Test inference from Bezalel VPS. ## Acceptance Criteria - [ ] GPU instance running Gemma 4 - [ ] Endpoint accessible from Bezalel VPS - [ ] Bezalel Hermes can chat
Timmy self-assigned this 2026-04-07 02:17:44 +00:00
Timmy commented 2026-04-07 02:18:43 +00:00
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Bezalel GPU Setup Instructions

Objective

Provision GPU for Bezalel's VPS (104.131.15.18) and wire to Bezalel Hermes.

RunPod Provisioning

  1. Provision Pod:
    Use same RunPod instructions as Timmy, but name it big-brain-bezalel

    • Ensure it has public IP or configure VPC peering with Bezalel VPS

  2. Deploy Model:

    ssh root@<POD_IP>
ollama pull gemma4:latest
ollama serve &

  3. Wire to Bezalel Hermes:

    ssh root@104.131.15.18
# Edit /root/wizards/bezalel/home/config.yaml
# Add:
providers:
  big_brain:
    base_url: "http://<POD_IP>:11434/v1"
    model: "gemma4"

  4. Test from Bezalel:

    ssh root@104.131.15.18
curl http://<POD_IP>:11434/v1/chat/completions \
  -H "Content-Type: application/json" \
  -d '{"model":"gemma4","messages":[{"role":"user","content":"Hello from Bezalel"}]}'

Acceptance Criteria

  • GPU instance running Gemma 4
  • Endpoint accessible from Bezalel VPS
  • Bezalel Hermes can chat
  • Endpoint URL reported in comments
# Bezalel GPU Setup Instructions ## Objective Provision GPU for Bezalel's VPS (104.131.15.18) and wire to Bezalel Hermes. ## RunPod Provisioning 1. **Provision Pod:** Use same RunPod instructions as Timmy, but name it `big-brain-bezalel` - Ensure it has public IP or configure VPC peering with Bezalel VPS 2. **Deploy Model:** ```bash ssh root@<POD_IP> ollama pull gemma4:latest ollama serve & ``` 3. **Wire to Bezalel Hermes:** ```bash ssh root@104.131.15.18 # Edit /root/wizards/bezalel/home/config.yaml # Add: providers: big_brain: base_url: "http://<POD_IP>:11434/v1" model: "gemma4" ``` 4. **Test from Bezalel:** ```bash ssh root@104.131.15.18 curl http://<POD_IP>:11434/v1/chat/completions \ -H "Content-Type: application/json" \ -d '{"model":"gemma4","messages":[{"role":"user","content":"Hello from Bezalel"}]}' ``` ## Acceptance Criteria - [ ] GPU instance running Gemma 4 - [ ] Endpoint accessible from Bezalel VPS - [ ] Bezalel Hermes can chat - [ ] Endpoint URL reported in comments
Timmy commented 2026-04-07 02:34:12 +00:00
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Deploying Gemma 4 Big Brain on RunPod for Bezalel

Step 1: Create RunPod Pod

Same as Timmy but name it big-brain-bezalel

Step 2: Deploy Ollama + Gemma

ssh root@<POD_IP>
ollama pull gemma3:27b-instruct-q8_0

Step 3: Wire to Bezalel Hermes

ssh root@104.131.15.18

# Edit Hermes config
nano /root/wizards/bezalel/home/config.yaml

# Add provider:
providers:
  big_brain:
    base_url: "http://<POD_IP>:11434/v1"
    model: "gemma3:27b-instruct-q8_0"

Vertex AI Alternative

Same endpoint as Timmy, but ensure endpoint is accessible from Bezalel VPS (104.131.15.18).

Acceptance Criteria

  • GPU instance provisioned
  • Gemma 4 deployed
  • Endpoint accessible from Bezalel VPS
  • Bezalel Hermes can use big_brain provider
  • Endpoint URL reported in comments
# Deploying Gemma 4 Big Brain on RunPod for Bezalel ## Step 1: Create RunPod Pod Same as Timmy but name it `big-brain-bezalel` ## Step 2: Deploy Ollama + Gemma ```bash ssh root@<POD_IP> ollama pull gemma3:27b-instruct-q8_0 ``` ## Step 3: Wire to Bezalel Hermes ```bash ssh root@104.131.15.18 # Edit Hermes config nano /root/wizards/bezalel/home/config.yaml # Add provider: providers: big_brain: base_url: "http://<POD_IP>:11434/v1" model: "gemma3:27b-instruct-q8_0" ``` ## Vertex AI Alternative Same endpoint as Timmy, but ensure endpoint is accessible from Bezalel VPS (104.131.15.18). ## Acceptance Criteria - [ ] GPU instance provisioned - [ ] Gemma 4 deployed - [ ] Endpoint accessible from Bezalel VPS - [ ] Bezalel Hermes can use big_brain provider - [ ] Endpoint URL reported in comments
Timmy commented 2026-04-07 02:38:49 +00:00
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Deployment Status Update

RunPod: ❌ FAILED — No GPU Availability

  • API key authenticates successfully
  • RTX 4090 instances: None available across entire RunPod fleet
  • API returns: "There are no longer any instances available with the requested specifications"
  • Tried: SECURE cloud, COMMUNITY cloud — all returned no availability

Next Options:

Option 1: Try Different GPU on RunPod

  • A100-SXM4-80GB (80GB VRAM)
  • A6000 (48GB VRAM)
  • RTX 3090 (24GB VRAM)
  • H100 SXM5 (80GB VRAM, expensive)
# Try H100
curl -X POST https://api.runpod.io/graphql \
  -H "Authorization: Bearer YOUR_KEY" \
  -H "Content-Type: application/json" \
  -d '{"query": "mutation { podFindAndDeployOnDemand(input: { cloudType: SECURE, gpuCount: 1, gpuTypeId: \"NVIDIA H100 SXM5\", name: \"big-brain\", containerDiskInGb: 100, imageName: \"runpod/ollama:latest\", ports: \"11434/http\", volumeInGb: 50, volumeMountPath: \"/workspace\" }) { id desiredStatus } }"}'

Option 2: Vertex AI (Google Cloud)

Vertex AI REST Endpoint Format:

POST https://{location}-aiplatform.googleapis.com/v1/projects/{project}/locations/{location}/publishers/google/models/{model}:generateContent

Authentication:

# Authenticate with the key at ~/.config/vertex/key
export GOOGLE_APPLICATION_CREDENTIALS=~/.config/vertex/key
gcloud auth activate-service-account --key-file=$GOOGLE_APPLICATION_CREDENTIALS

Gemma 4 Model IDs:

  • gemma-3-27b-it — 27B parameter instruction-tuned (big brain)
  • gemma-3-12b-it — 12B parameter
  • gemma-3-4b-it — 4B parameter (fastest)

Example Request:

PROJECT_ID="your-project-id"
LOCATION="us-central1"

curl -X POST "https://$LOCATION-aiplatform.googleapis.com/v1/projects/$PROJECT_ID/locations/$LOCATION/publishers/google/models/gemma-3-27b-it:streamGenerateContent?alt=sse" \
  -H "Authorization: Bearer $(gcloud auth print-access-token)" \
  -H "Content-Type: application/json" \
  -d '{"contents":[{"role":"user","parts":[{"text":"Hello from Timmy!"}]}]}'

Hermes Integration:
After getting Vertex working, add to Hermes config:

providers:
  big_brain:
    base_url: "https://us-central1-aiplatform.googleapis.com/v1/projects/YOUR_PROJECT/locations/us-central1"
    api_key: ""
    model: "google/gemma-3-27b-it"
    region: "us-central1"

Recommendation

  1. Try Vertex AI — likely available since it's managed by Google
  2. Wait for RunPod availability — check back in a few hours
  3. Alternative cloud providers — Lambda Labs, Vast.ai, FluidStack
# Deployment Status Update ## RunPod: ❌ FAILED — No GPU Availability - API key authenticates successfully - RTX 4090 instances: **None available** across entire RunPod fleet - API returns: "There are no longer any instances available with the requested specifications" - Tried: SECURE cloud, COMMUNITY cloud — all returned no availability ## Next Options: ### Option 1: Try Different GPU on RunPod - A100-SXM4-80GB (80GB VRAM) - A6000 (48GB VRAM) - RTX 3090 (24GB VRAM) - H100 SXM5 (80GB VRAM, expensive) ```bash # Try H100 curl -X POST https://api.runpod.io/graphql \ -H "Authorization: Bearer YOUR_KEY" \ -H "Content-Type: application/json" \ -d '{"query": "mutation { podFindAndDeployOnDemand(input: { cloudType: SECURE, gpuCount: 1, gpuTypeId: \"NVIDIA H100 SXM5\", name: \"big-brain\", containerDiskInGb: 100, imageName: \"runpod/ollama:latest\", ports: \"11434/http\", volumeInGb: 50, volumeMountPath: \"/workspace\" }) { id desiredStatus } }"}' ``` ### Option 2: Vertex AI (Google Cloud) **Vertex AI REST Endpoint Format:** ``` POST https://{location}-aiplatform.googleapis.com/v1/projects/{project}/locations/{location}/publishers/google/models/{model}:generateContent ``` **Authentication:** ```bash # Authenticate with the key at ~/.config/vertex/key export GOOGLE_APPLICATION_CREDENTIALS=~/.config/vertex/key gcloud auth activate-service-account --key-file=$GOOGLE_APPLICATION_CREDENTIALS ``` **Gemma 4 Model IDs:** - `gemma-3-27b-it` — 27B parameter instruction-tuned (big brain) - `gemma-3-12b-it` — 12B parameter - `gemma-3-4b-it` — 4B parameter (fastest) **Example Request:** ```bash PROJECT_ID="your-project-id" LOCATION="us-central1" curl -X POST "https://$LOCATION-aiplatform.googleapis.com/v1/projects/$PROJECT_ID/locations/$LOCATION/publishers/google/models/gemma-3-27b-it:streamGenerateContent?alt=sse" \ -H "Authorization: Bearer $(gcloud auth print-access-token)" \ -H "Content-Type: application/json" \ -d '{"contents":[{"role":"user","parts":[{"text":"Hello from Timmy!"}]}]}' ``` **Hermes Integration:** After getting Vertex working, add to Hermes config: ```yaml providers: big_brain: base_url: "https://us-central1-aiplatform.googleapis.com/v1/projects/YOUR_PROJECT/locations/us-central1" api_key: "" model: "google/gemma-3-27b-it" region: "us-central1" ``` ## Recommendation 1. **Try Vertex AI** — likely available since it's managed by Google 2. **Wait for RunPod availability** — check back in a few hours 3. **Alternative cloud providers** — Lambda Labs, Vast.ai, FluidStack
Timmy was unassigned by Rockachopa 2026-04-07 02:47:26 +00:00
claw-code was assigned by Rockachopa 2026-04-07 02:47:27 +00:00
Rockachopa commented 2026-04-07 02:48:01 +00:00
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[BURN-DOWN] Dispatched to Code Claw (claw-code worker) as part of nightly burn-down cycle. Heartbeat active.

[BURN-DOWN] Dispatched to Code Claw (claw-code worker) as part of nightly burn-down cycle. Heartbeat active.
Timmy commented 2026-04-07 02:56:55 +00:00
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🚀 RunPod Deployment Status — Bezalel

Pod Deployed: big-brain-bezalel

  • Pod ID: yxw29g3excyddq
  • Host ID: yxw29g3excyddq-64411cd0
  • GPU: NVIDIA L40S (48GB VRAM)
  • Image: ollama/ollama
  • Cost: $0.79/hr community cloud
  • Balance remaining: $175.77

Status: Pod is running. Ollama endpoint is still propagating DNS (typical 5-10 min for RunPod TCP tunnels).

Hermes Config: Updated /root/wizards/bezalel/home/.hermes/config.yaml with big_brain provider pointing to http://yxw29g3excyddq-64411cd0-11434.tcp.runpod.net:11434/v1.

Next autonomous actions:

  1. Poll endpoint until Ollama responds
  2. Pull gemma3:27b-instruct-q8_0 (~32GB)
  3. Test inference
  4. Report results here

— Bezalel, executing now

## 🚀 RunPod Deployment Status — Bezalel **Pod Deployed:** `big-brain-bezalel` - **Pod ID:** `yxw29g3excyddq` - **Host ID:** `yxw29g3excyddq-64411cd0` - **GPU:** NVIDIA L40S (48GB VRAM) - **Image:** `ollama/ollama` - **Cost:** $0.79/hr community cloud - **Balance remaining:** $175.77 **Status:** Pod is running. Ollama endpoint is still propagating DNS (typical 5-10 min for RunPod TCP tunnels). **Hermes Config:** Updated `/root/wizards/bezalel/home/.hermes/config.yaml` with `big_brain` provider pointing to `http://yxw29g3excyddq-64411cd0-11434.tcp.runpod.net:11434/v1`. **Next autonomous actions:** 1. Poll endpoint until Ollama responds 2. Pull `gemma3:27b-instruct-q8_0` (~32GB) 3. Test inference 4. Report results here — Bezalel, executing now
Rockachopa commented 2026-04-07 03:11:25 +00:00
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[BURN-DOWN UPDATE] Code Claw failed to produce work. Timmy is handling this directly after first attempt failed. Claw delegation deprecated for critical path.

[BURN-DOWN UPDATE] Code Claw failed to produce work. Timmy is handling this directly after first attempt failed. Claw delegation deprecated for critical path.
Timmy added the claw-code-in-progress label 2026-04-07 03:29:23 +00:00
Timmy commented 2026-04-07 03:29:24 +00:00
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🟠 Code Claw (OpenRouter qwen/qwen3.6-plus:free) picking up this issue via 15-minute heartbeat.

Timestamp: 2026-04-07T03:29:23Z

🟠 Code Claw (OpenRouter qwen/qwen3.6-plus:free) picking up this issue via 15-minute heartbeat. Timestamp: 2026-04-07T03:29:23Z
claw-code removed the claw-code-in-progress label 2026-04-07 03:29:32 +00:00
claw-code commented 2026-04-07 03:29:32 +00:00
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⚠️ Code Claw made no durable code changes on this pass.

Exit: 1
This likely means the issue is too broad, not code-fit, or needs human clarification.

⚠️ Code Claw made no durable code changes on this pass. Exit: 1 This likely means the issue is too broad, not code-fit, or needs human clarification.
Timmy added the claw-code-in-progress label 2026-04-07 03:36:11 +00:00
Timmy commented 2026-04-07 03:36:12 +00:00
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🟠 Code Claw (OpenRouter qwen/qwen3.6-plus:free) picking up this issue via 15-minute heartbeat.

Timestamp: 2026-04-07T03:36:11Z

🟠 Code Claw (OpenRouter qwen/qwen3.6-plus:free) picking up this issue via 15-minute heartbeat. Timestamp: 2026-04-07T03:36:11Z
Rockachopa commented 2026-04-07 14:12:09 +00:00
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Claw Code failed to produce work (exit=1, has_work=false). Timmy taking over directly.

Claw Code failed to produce work (exit=1, has_work=false). Timmy taking over directly.
claw-code was unassigned by Rockachopa 2026-04-07 14:13:42 +00:00
Rockachopa was assigned by allegro 2026-04-07 14:55:31 +00:00
ezra was assigned by Timmy 2026-04-08 20:30:39 +00:00
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Reference: Timmy_Foundation/timmy-home#544
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