RENT A DEDICATED APPLE SILICON MAC FOR LLM INFERENCE

One Mac, one customer, 30 days, unlimited tokens, behind an OpenAI-compatible endpoint. Pick a machine, pay from your balance, point the openai SDK at it. Priced in USD - no GPU-hour meter, no network token.
$249 /30 days default as of 11 Sep 2026
3 tiers, 24-96 GB
tokens
EARLY ACCESS

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Have a Mac to lend instead? Node owners accrue their admin-approved share of paid rentals - see /compute/.

Default prices below are a snapshot from 11 September 2026. Admin controls prices and can approve per-node overrides. Confirm the current quote at checkout and renewal.

Check the marketplace for live availability.

TIERS AND PRICES

TierPrice / 30 daysUnified memoryWhat it honestly servesHardware class
Starter$24924 GB+27B-class models at 4-bit (16K context)M4 Pro, 24-36 GB
Pro$44948 GB+Qwen 27B at 8-bit (32K context)M4 Pro/Max, 48-64 GB
Max$79996 GB+Qwen 27B at BF16 (32K context)M4 Max, 128 GB

The tier is decided by a benchmark we run on the node (the largest catalog model it actually served at acceptable speed, re-run when the node is free after seven days), followed by admin review of the current supplier agreement and measured tier. Renewal is +30 days at the current admin-approved price; cancellation takes effect at period end and access continues until expiresAt. Live list: GET /v1/peer/compute/tiers.

MODEL CATALOG

Curated and pinned to exact mlx-community repos so you get precisely the weights you paid for. Live version: GET /v1/peer/compute/catalog.

Model idRepo servedQuantServed contextMemory neededDiskTier
qwen3.8-27b-4bitmlx-community/Qwen3.8-27B-4bit4-bit16,38424 GB~16 GBStarter+
qwen3.8-27b-8bitmlx-community/Qwen3.8-27B-8bit8-bit32,76848 GB~30 GBPro+
qwen3.8-27b-bf16mlx-community/Qwen3.8-27B-bf16bf1632,76896 GB~55 GBMax+

The catalog is deliberately small: pinned models are what make node-side verification (reproducible benchmark probes) possible. More entries are added as they pass verification; the tier table above describes the class of model each tier can hold, the catalog lists what is served today.

HOW IT WORKS

  1. Pick a machine at compute.proxies.sx/market - listings are anonymised, priced by verified tier, and show the model currently served.
  2. Pay from balance. Checkout is POST /v1/peer/compute/rentals; the confirmed node price is debited from your Proxies.sx balance and the node is yours for 30 days. If someone took it a second earlier you get 409 node_taken and the payment is reversed.
  3. Chat through the endpoint. Every rental gets its own URL - https://api.proxies.sx/v1/peer/compute/rentals/<rentalId>/chat/completions - authenticated with a key granting compute:infer. stream: true returns SSE deltas exactly like OpenAI.

Checkout and renewal require a compute:purchase key and an Idempotency-Key. Include expectedPriceUsd and pricingVersion from the marketplace quote; a changed quote returns 409 price_changed before charging. Reuse the same key and body after a timeout or operation_pending. Read/inference keys created in the compute portal cannot spend your balance. Completed rental purchases are non-refundable; failed allocations are reversed automatically.

Switch models with POST .../rentals/<rentalId>/model, list rentals with GET /v1/peer/compute/rentals/mine, renew or cancel with .../renew and .../cancel.

CODE

curl

curl https://api.proxies.sx/v1/peer/compute/rentals/<rentalId>/chat/completions \
  -H "Authorization: Bearer psx_<key>" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "qwen3.8-27b-4bit",
    "messages": [{"role": "user", "content": "Summarise the x402 protocol in two sentences."}],
    "stream": false
  }'

Python (openai SDK)

# pip install openai
from openai import OpenAI

client = OpenAI(
    base_url="https://api.proxies.sx/v1/peer/compute/rentals/<rentalId>",   # the SDK appends /chat/completions
    api_key="psx_<key>",
)
stream = client.chat.completions.create(
    model="qwen3.8-27b-4bit",
    messages=[{"role": "user", "content": "Summarise the x402 protocol in two sentences."}],
    stream=True,
)
for chunk in stream:
    print(chunk.choices[0].delta.content or "", end="", flush=True)

Node (openai SDK)

// npm i openai
import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://api.proxies.sx/v1/peer/compute/rentals/<rentalId>",   // the SDK appends /chat/completions
  apiKey: "psx_<key>",
});
const res = await client.chat.completions.create({
  model: "qwen3.8-27b-4bit",
  messages: [{ role: "user", content: "Summarise the x402 protocol in two sentences." }],
});
console.log(res.choices[0].message.content);

Errors you can get: 409 rental_expired, 409 node_offline, 409 model_not_ready (still downloading after a model switch), 504 timeout. Rate limit: 60 requests/min per key on this route.

VERSUS GPU-HOUR CLOUDS AND TOKEN NETWORKS

Whole machine, one tenantPriced inUnlimited tokens for the termOpenAI-compatible endpointNetwork token
Proxies.sx Mac ComputeYes - one Mac, one customer, 30 daysUSD, flat per 30 daysYes - no per-token meterYes - /chat/completions, streamingNone
NosanaGPU jobs; check the chosen host and deployment isolationPer GPU-hourYour own serving stackYour own serving stackNOS
io.netGPU capacity; check deployment isolationNot stated on homepageYour own serving stackYour own serving stackIO
AkashProvider container leases; check isolation termsPer hour, reverse auctionYour own serving stackYour own serving stackAKT

Competitor rows describe what each product publicly is (GPU capacity you rent by the hour and deploy your own container onto). "Your own serving stack" means the platform hands you compute, not a model endpoint; token limits and API shape are whatever you run on it. Figures are quoted as published on each domain on 2026-09-11 - see the full comparison.

WHO THIS IS FOR

Not for: training, multi-GPU jobs, or workloads that need CUDA. That is what GPU-hour clouds are for.

FAQ

What exactly do I get when I rent a Mac?

One Apple Silicon Mac, exclusively yours for 30 days, running one catalog model from unified memory under MLX, reachable at an OpenAI-compatible chat/completions endpoint with streaming. Tokens are not metered - the flat tier price is the whole cost.

How do I pay?

From your Proxies.sx balance: sign up at client.proxies.sx, top up (card or crypto), pick a machine at compute.proxies.sx/market and check out. Renewal is another 30 days at the tier price; cancel at period end at any time.

Can I switch models during the rental?

Yes, to any catalog model that fits the tier's memory: POST /v1/peer/compute/rentals/<rentalId>/model. The node downloads the pinned mlx-community repo and reports model_not_ready until it is served.

Rent a Mac now