4.7 KiB
Platform Setup — Profiles, Rates, Checklist
Target platforms (3, not spread thin)
- Upwork — highest-intent freelance gigs (Proxmox/AI infra buyers actively hire here)
- Reddit — reputation + inbound (r/homelab, r/selfhosted, r/LocalLLaMA, r/ollama)
- Gumroad — package the R630 GPU→Ollama build as a paid guide (passive income)
Fiverr is optional 4th; skip it initially — Upwork + Reddit + Gumroad is the right concentration. Fiverr's race-to-the-bottom pricing fights the premium positioning.
Rate research (comparable listings)
- Proxmox VE / homelab specialists on Upwork: $40–$100/hr (generalists $40–60, deep infra $75–100)
- GPU passthrough + local AI infra: $75–$150/hr (niche, high demand, low supply)
- Embedded/Android TV/ESP32: $50–$100/hr
- Gumroad tech guides: $9–$49 one-time
Recommended anchor: $75/hr (freelance) + $19 guide (Gumroad). Anchor high — the Maxwell/Vulkan and 100K-context wins are genuinely above-commodity. Don't list $20/hr; it signals "will do anything" and attracts the worst clients.
1. Upwork profile (ready to paste)
Title:
Self-Hosted AI & Homelab Infrastructure — GPU Passthrough, Ollama, Proxmox
Overview:
I get local AI running on hardware you own — instead of renting a cloud API.
I've built a 4-lane multi-GPU LLM architecture across an RTX 4080 SUPER, RTX 3070,
and a retired Dell R630 (Quadro M4000), with a single model standard and per-lane
latency/VRAM routing. Highlights I can reproduce for you:
• GPU passthrough + Ollama on Proxmox (incl. the CUDA→Vulkan migration when Ollama
dropped Maxwell support — a non-obvious fix most people burn hours on)
• 100K-token context on 16GB VRAM with zero CPU offload (Flash Attention + KV-cache quant)
• Multi-host Ollama routing: premium / batch / always-on lanes
• Homelab: Proxmox, Docker, ZFS (SLOG/L2ARC), backups (PBS), networking
• Hardware: Android TV rooting (Magisk/Amlogic), ESP32-S3 firmware, ADB automation
If you want a local LLM running on your GPU and it won't cooperate — I can fix it.
Skills/tags: Proxmox VE, GPU Passthrough, Ollama, LLM, Self-Hosted, Docker, Linux System Administration, ZFS, Homelab, NVIDIA CUDA, Vulkan.
Rate: $75/hr.
Portfolio items: attach the 3 pieces in portfolio/ (R630 GPU/Ollama, multi-GPU
routing, SK4 Pro rooting).
2. Reddit presence (reputation, not a storefront)
Handle suggestion: something credible and technical (e.g. selfhosted-gpu-guy or your
existing handle). Do NOT spam links — answer help threads, drop the portfolio link only
when it's genuinely relevant.
Primary subs:
- r/LocalLLaMA — where "Ollama won't use my GPU" lives
- r/homelab — Proxmox/GPU passthrough audience
- r/selfhosted — self-hosted AI
- r/ollama — direct model/GPU troubleshooting
Approach: Help first. Each answer = proof of expertise. Link the Gumroad guide or Upwork profile only when someone explicitly wants it done-for-them.
3. Gumroad listing (paid guide)
Title: Run Ollama on Your Own GPU: The R630 Passthrough & Multi-GPU Routing Guide
Pitch:
The exact steps to take a retired server (or any NVIDIA GPU) and turn it into a 24/7 local LLM box — including the CUDA→Vulkan fallback fix, 100K-context-on-16GB config, and multi-host routing. Written from a real 3-GPU deployment, not theory.
Price: $19 (or $12 launch).
Contents:
- Hardware + driver setup (incl. Maxwell/Vulkan gotcha)
- Ollama as a systemd service (LAN-open, keep_alive, model pinning)
- 100K ctx on 16GB VRAM (Flash Attention + KV-cache q4_0)
- Multi-GPU lane routing architecture
- Troubleshooting:
ollama ps, nvidia-smi, cold-model timeouts
Setup checklist (what's DONE vs what needs YOU)
✅ Done (files ready in this repo)
- Positioning statement + bio (
positioning.md) - 3 portfolio pieces (
portfolio/) - Upwork/Fiverr profile copy (above)
- Gumroad listing copy (above)
- Outreach targets + drafted messages (
outreach.md)
🔐 Requires your identity/verification (can't be automated — and I won't fake it)
- Upwork: gov ID verification, real phone, tax info (W-9/W-8), bank payout. Needs you.
- Gumroad/Ko-fi: email + payout method (bank/PayPal). Needs you.
- Reddit: your real account (or an aged account) — reputation can't be faked. Needs you.
🚦 Sequence
- You create/verify the 3 accounts (I can't do ID verification).
- Paste the profile copy above (it's done).
- Attach the 3 portfolio pieces.
- I hand you the outreach messages; you send from your accounts (fresh accounts + mass DMs = ban risk, so it has to be human-paced from your real account).