🏷️

AI Hardware Deal Tracker

Watch prices on GPUs, mini PCs, CPUs, RAM, and SSDs for your local LLM or AI agent build.

Product Category MSRP Typical Low Notes Check Prices
NVIDIA GeForce RTX 4090 Featured Deal
GPU $1,599 $1,700 Flagship local LLM card. 24GB VRAM runs 70B quantized models.
NVIDIA GeForce RTX 5090
GPU $1,999 $2,200 Next-gen 32GB flagship. Best for large models and inference hosting.
Mac Studio M4 Max 64GB
Mini PC / Workstation $3,299 $3,299 Silent, efficient local inference. Great for developers and content agents.
Beelink GTR9 Pro
Mini PC $899 $799 Ryzen AI 9 HX 370 with strong NPU. Good portable AI box.
GMKtec EVO-X2
Mini PC $1,299 $1,199 Mini PC with dedicated GPU option for local LLMs.
AMD Ryzen 9 7950X3D
CPU $699 $599 High-core CPU for CPU-fallback inference and data preprocessing.
64GB DDR5-6000 RAM Kit
RAM $220 $180 Minimum RAM for serious local LLM builds; 128GB preferred for 70B models.
Samsung 990 Pro 2TB NVMe SSD
Storage $229 $169 Fast storage matters for loading large models and datasets.

How to use this tracker

  • MSRP is the manufacturer’s official price. Street prices often run higher during shortages.
  • Typical low is a realistic sale price based on deal history and price-drops.
  • Use the category filters to build a full stack: GPU β†’ CPU β†’ RAM β†’ Storage β†’ Mini PC.
  • Click "Deals" for current affiliate redirects. Prices update in real time at the retailer.
  • Pair with the AI PC configurator to match hardware to your model-size goals.

Get a quote

Need help with this deal? Send a request and a partner will reply within 24 hours.

πŸ€– Use this tool in your agent

βœ“ Agent-ready code

Copy the snippet below into your agent, newsletter, or script. The tool page at hermesdispatch.dev/tools/ai-hardware-deal-tracker/ is the canonical contract: inputs, outputs, and formulas.

python
# Hermes Dispatch Tool β€” AI Hardware Deal Tracker
# Source: https://hermesdispatch.dev/tools/ai-hardware-deal-tracker/
# Description: Track AI hardware deals. Uses a static snapshot by default; optionally fetches live Amazon/Keepa data with your own API key.
# License: MIT (generated by hermesdispatch.dev)
#
# INSTALL:
#   1. Save this file as ~/.hermes/hermes-agent/tools/ai_hardware_deal_tracker.py
#   2. Restart Hermes or run /reset in a session
#
# MODES:
#   snapshot (default) β€” embedded daily snapshot, no API key needed.
#   live β€” fetches current prices using YOUR Keepa or Amazon Product Advertising API key.
#          Pass api_key + provider in args. HermesDispatch never sees your key.
#
# MANUAL REGISTRY:
#   from tools.ai_hardware_deal_tracker import register
#   register()

import json

# Embedded snapshot β€” updated daily during site build.
SNAPSHOT = {"last_updated": "2026-07-04", "note": "Snapshot data. Use mode='live' with your own API key for current prices.", "products": {"nvidia-rtx-4090": {"name": "NVIDIA GeForce RTX 4090", "category": "GPU", "msrp": 1599, "typical_low": 1700, "check_urls": ["https://www.amazon.com/s?k=rtx+4090"], "note": "Flagship local LLM card. 24GB VRAM runs 70B quantized models.", "affiliate_slug": "rtx-4090", "sponsored": true, "sponsor_badge": "Featured Deal"}, "nvidia-rtx-5090": {"name": "NVIDIA GeForce RTX 5090", "category": "GPU", "msrp": 1999, "typical_low": 2200, "check_urls": ["https://www.amazon.com/s?k=rtx+5090"], "note": "Next-gen 32GB flagship. Best for large models and inference hosting.", "affiliate_slug": "rtx-5090", "sponsored": false, "sponsor_badge": ""}, "mac-studio-m4-max": {"name": "Mac Studio M4 Max 64GB", "category": "Mini PC / Workstation", "msrp": 3299, "typical_low": 3299, "check_urls": ["https://www.amazon.com/s?k=mac+studio+m4+max"], "note": "Silent, efficient local inference. Great for developers and content agents.", "affiliate_slug": "mac-studio-m4-max", "sponsored": false, "sponsor_badge": ""}, "beelink-gtr9-pro": {"name": "Beelink GTR9 Pro", "category": "Mini PC", "msrp": 899, "typical_low": 799, "check_urls": ["https://www.amazon.com/s?k=beelink+gtr9+pro"], "note": "Ryzen AI 9 HX 370 with strong NPU. Good portable AI box.", "affiliate_slug": "beelink-gtr9-pro", "sponsored": false, "sponsor_badge": ""}, "gmktec-evo-x2": {"name": "GMKtec EVO-X2", "category": "Mini PC", "msrp": 1299, "typical_low": 1199, "check_urls": ["https://www.amazon.com/s?k=gmktec+evo+x2"], "note": "Mini PC with dedicated GPU option for local LLMs.", "affiliate_slug": "gmktec-evo-x2", "sponsored": false, "sponsor_badge": ""}, "amd-ryzen-9-7950x3d": {"name": "AMD Ryzen 9 7950X3D", "category": "CPU", "msrp": 699, "typical_low": 599, "check_urls": ["https://www.amazon.com/s?k=ryzen+9+7950x3d"], "note": "High-core CPU for CPU-fallback inference and data preprocessing.", "affiliate_slug": "ryzen-9-7950x3d", "sponsored": false, "sponsor_badge": ""}, "ddr5-64gb-kit": {"name": "64GB DDR5-6000 RAM Kit", "category": "RAM", "msrp": 220, "typical_low": 180, "check_urls": ["https://www.amazon.com/s?k=64gb+ddr5+6000"], "note": "Minimum RAM for serious local LLM builds; 128GB preferred for 70B models.", "affiliate_slug": "ddr5-64gb", "sponsored": false, "sponsor_badge": ""}, "samsung-990-pro-2tb": {"name": "Samsung 990 Pro 2TB NVMe SSD", "category": "Storage", "msrp": 229, "typical_low": 169, "check_urls": ["https://www.amazon.com/s?k=samsung+990+pro+2tb"], "note": "Fast storage matters for loading large models and datasets.", "affiliate_slug": "samsung-990-pro-2tb", "sponsored": false, "sponsor_badge": ""}}}


def _ok(result):
    return json.dumps({"success": True, "data": result}, indent=2)


def _err(message):
    return json.dumps({"success": False, "error": message}, indent=2)


TOOL_NAME = "ai_hardware_deal_tracker"
TOOLSET = "hardware"

SCHEMA = {
    "type": "function",
    "function": {
        "name": TOOL_NAME,
        "description": "Track AI hardware deals. Uses an embedded daily snapshot by default; optionally fetches live prices with the user's own Keepa or Amazon PA-API key.",
        "parameters": {
            "type": "object",
            "properties": {
                "product": {
                    "type": "string",
                    "description": "Optional product slug or name: nvidia-rtx-4090, nvidia-rtx-5090, mac-studio-m4-max, beelink-gtr9-pro, gmktec-evo-x2, amd-ryzen-9-7950x3d, ddr5-64gb-kit, samsung-990-pro-2tb"
                },
                "mode": {
                    "type": "string",
                    "enum": ["snapshot", "live"],
                    "default": "snapshot",
                    "description": "snapshot = embedded daily data; live = fetch current prices with api_key."
                },
                "provider": {
                    "type": "string",
                    "enum": ["keepa", "amazon_paapi"],
                    "default": "keepa",
                    "description": "Live-data provider. Requires api_key."
                },
                "api_key": {
                    "type": "string",
                    "description": "YOUR API key for the chosen provider. HermesDispatch never stores or transmits this key."
                }
            },
            "required": []
        }
    }
}


def _snapshot(product=None):
    items = []
    for slug, info in SNAPSHOT["products"].items():
        if not product or slug == product or product.lower() in info.get("name", "").lower():
            items.append({"slug": slug, **info})
    return _ok({
        "mode": "snapshot",
        "last_updated": SNAPSHOT["last_updated"],
        "deals": items[:5]
    })


def _live(product, provider, api_key):
    if not api_key:
        return _err("Live mode requires your own API key. Get one from keepa.com or Amazon Product Advertising API. Pass it as api_key. HermesDispatch does not provide keys.")
    if provider == "keepa":
        # Placeholder: user implements with their own key against keepa.com
        return _ok({
            "mode": "live",
            "provider": "keepa",
            "note": "Live fetch is a stub. Replace this with your Keepa API call using api_key.",
            "deals": []
        })
    if provider == "amazon_paapi":
        return _ok({
            "mode": "live",
            "provider": "amazon_paapi",
            "note": "Live fetch is a stub. Replace this with your Amazon PA-API call using api_key.",
            "deals": []
        })
    return _err(f"Unknown provider: {provider}. Use 'keepa' or 'amazon_paapi'.")


def HANDLER(args):
    try:
        mode = args.get("mode", "snapshot")
        product = args.get("product", None)
        if mode == "snapshot":
            return _snapshot(product)
        if mode == "live":
            return _live(product, args.get("provider", "keepa"), args.get("api_key", ""))
        return _err(f"Unknown mode: {mode}. Use 'snapshot' or 'live'.")
    except Exception as e:
        return _err(str(e))


def register():
    """Manual registry hook."""
    try:
        from tools.registry import registry
        registry.register(name=TOOL_NAME, toolset=TOOLSET, schema=SCHEMA, handler=HANDLER)
    except ImportError:
        print("Hermes registry not found; skipping manual registration.")


if __name__ == "__main__":
    print(HANDLER({}))
    print(HANDLER({"mode": "live", "provider": "keepa"}))  # expect error: no api_key

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