gpu-reality-update-7apr2026

weval-gpu-deploy.py

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+#!/usr/bin/env python3
+# WEVAL GPU Free Compute — Etat Reel 7 avril 2026
+
+# === CE QUI TOURNE VRAIMENT (0 EUR inference) ===
+# sovereign-api.py port 4000 — UP, PID 2777776
+# Route: Ollama S204(port 11435) -> Cerebras -> Groq -> Gemini
+# Modeles: granite4, qwen3:8b, qwen3:4b, qwen2.5:7b, mistral, weval-brain-v2
+# + cloud: cerebras qwen-3-235b | groq llama-3.3-70b | gemini-2.0-flash
+SOVEREIGN = "http://127.0.0.1:4000/v1"  # DROP-IN OpenAI compatible — UP
+
+# === KAGGLE (clés configurées, usage training uniquement) ===
+# KAGGLE_USERNAME + KAGGLE_API_TOKEN dans /etc/weval/secrets.env
+# T4/P100, 30h/semaine — PAS d'inference API temps reel
+# Usage: finetune, data processing, batch jobs
+KAGGLE = "kernel_only"  # pas d'endpoint HTTP externe
+
+# === HF SPACE (deploye, GPU non actif) ===
+# Space: https://huggingface.co/spaces/yace222/weval-vllm
+# Build: DONE (commit 5b4b422) — cpu-basic
+# T4 free: necessite plan PRO HF — pas disponible
+# HF Inference API serverless: SUPPRIME depuis 2024 (HTTP 410)
+HF_SPACE_URL = "https://yace222-weval-vllm.hf.space"  # cpu-basic, vLLM KO sans GPU
+
+# === RENDER / RAILWAY (configures, CPU only) ===
+# RENDER_WORKSPACE + RAILWAY_WORKSPACE dans secrets.env
+# Pas de GPU gratuit sur ces platforms
+RENDER = None
+RAILWAY = None
+
+# === CONCLUSION ===
+# La seule inference IA gratuite et temps reel = sovereign-api port 4000
+# Kaggle = reserve training/finetune batch
+# Pour GPU inference gratuite: besoin HF PRO (9$/mois) ou Colab Pro
+STATUS = {
+    "sovereign_local": "UP",      # port 4000, 6 providers, 0EUR
+    "kaggle":          "TRAINING_ONLY",
+    "hf_space":        "NO_GPU",
+    "render":          "CPU_ONLY",
+    "railway":         "CPU_ONLY",
+}