Figment vs AI KIZAI: Mac Hosting Compared

Direct verdict

If your work is Xcode, SwiftUI, Fastlane, TestFlight uploads, or CI for iOS/macOS apps, start with a Figment M-series Mac from $95/month. AI KIZAI rents a single Mac Studio M3 Ultra with 512 GB unified memory out of Kobe, Japan, and prices it at $1,499 for a 30-day block. That machine is purpose-built for running 405B–1T-parameter AI models on-device; it is not a cost-competitive home for ordinary app development.

If you genuinely need 512 GB unified memory and an 80-core GPU for local AI inference, buy the AI KIZAI block for the days you need it. For everything else, the Figment M-series tier is the right starting point, and the managed tiers below add the CI work most Apple teams actually pay for.

Published plans, terms and a worked cost

AI KIZAI publishes four fixed-duration blocks against one hardware SKU on ai-kizai.com. Prices are USD, one-time, with no auto-renewal. Per the site's terms, "payments are final and no refunds are issued once payment is confirmed and access credentials are delivered." Taxes and fees apply as stated in the actual offer at checkout.

Figment's retail Mac subscriptions, billed monthly:

Worked example. A team that keeps one M-series Mac on Figment for a year pays 12 × $95 = $1,140. A single 30-day block on AI KIZAI is $1,499. Four 7-day AI KIZAI blocks cost 4 × $499 = $1,996 and give 28 days of access. Two sequential 14-day blocks cost 2 × $799 = $1,598 for 28 days. There is no published daily rate below the 30-day tier, so short bursts cost more per day, not less. The $95 figure is an entry price for a different hardware class — not a like-for-like swap for an M3 Ultra with 512 GB unified memory. Agree the exact chip, RAM and disk in your Figment quote before comparing further.

Hardware, access and toolchain fit

AI KIZAI publishes: Mac Studio M3 Ultra, 32-core CPU, 80-core GPU, 512 GB unified memory at 819 GB/s, 4 TB SSD, 1 Gbps fiber. Access is SSH over Tailscale plus VNC or macOS Screen Sharing. The machine is dedicated to one renter at a time and wiped between rentals; the operator retains device-management access. No uptime SLA is published on the pricing page.

Figment M-series is Apple silicon running macOS, so it runs current Xcode. Per Apple's Xcode system requirements, Xcode 27.x requires macOS Tahoe 26.6 or later on Apple silicon; Xcode 26.x requires macOS Tahoe 26.2 or later on Apple silicon; Xcode 16.4 is the last release row that still runs on Intel Macs (macOS Sequoia 15.3 through Tahoe 26.1.x). Check the exact Xcode row your project targets rather than assuming one requirement covers all. visionOS targets require Apple silicon in all current Xcode rows.

Figment's $29 virtual Intel macOS is an Intel macOS VM, not Apple silicon. It runs Intel-compatible toolchains, including Xcode releases that still support Intel (Xcode 26 or earlier, per Apple). Choose it for Intel-only build matrices, legacy maintenance, or scripted automation where ARM execution and GPU acceleration are not required. There is no GPU acceleration and no audio in the VM. For Xcode 27, visionOS, or execution of ARM-only software, use the M-series tier.

For routine Apple development — SwiftPM resolution, incremental Xcode builds, Fastlane lanes, TestFlight uploads — neither 512 GB of unified memory nor an 80-core GPU buys you anything you can measure. They matter for local LLM inference and large GPU workloads.

A buyer test before you commit

No independent benchmark compares these two services. Run your own project on a short AI KIZAI block or a Figment evaluation before committing budget. The script below is a reference, not a measurement we have taken.

# Confirm the scheme first:  xcodebuild -list -workspace YourApp.xcworkspace
set -euo pipefail
WORKSPACE="YourApp.xcworkspace"
SCHEME="YourApp"   # replace with a scheme that xcodebuild -list prints
/usr/bin/time -p xcodebuild \
  -workspace "$WORKSPACE" -scheme "$SCHEME" \
  -configuration Release -destination 'generic/platform=iOS' \
  clean build

set -euo pipefail stops the script on failure, so a broken build cannot be mis-counted as a fast run. Record real time on each machine and repeat at least three runs after a warm cache. For interactive sessions from Europe or North America, also measure RTT to the AI KIZAI host (ping -c 20 <host>) — a Kobe round trip adds real latency to Screen Sharing even when CI throughput is fine.

Migration checklist: AI KIZAI to Figment

Because AI KIZAI blocks are non-refundable, validate the Figment machine while the AI KIZAI term is still live.

• Push every project to its remote and confirm git status is clean in each working copy.
• Export tool inventories: brew list --formula > brew-formulae.txt and brew list --cask > brew-casks.txt.
• Record secret names used by your pipelines (API keys, App Store Connect key IDs, Match passphrase). Do not export the full environment to a plaintext file — restore values through your secret manager on the new host.
• Re-issue SSH keys on the Figment Mac rather than copying private keys off AI KIZAI; rotate the old keys in GitHub, your artifact store and any bastion.
• Export signing assets correctly: encrypted .p12 for certificate + private key from Keychain; copy .mobileprovision files from ~/Library/MobileDevice/Provisioning Profiles/ (provisioning profiles are files, not Keychain items).
• Request a Figment M-series quote at /mac-hosting and agree chip, RAM and disk before committing — physical M-series stock is request-based while supply is confirmed.
• On the Figment Mac, install Xcode from the App Store, then xargs brew install < brew-formulae.txt.
• Update CI: GitHub Actions runner labels, Fastlane Matchfile, and any firewall or artifact-store allowlists maintained in your services. Do not add generic App Store Connect or TestFlight allowlists you have not actually configured.
• Run the build test above on Figment. Only when it succeeds, let the AI KIZAI block expire — no cancellation action is required since there is no auto-renewal.

Choose the Figment plan

Start a Figment M-series request at /mac-hosting/start. Physical machines are allocated against confirmed supply — ask for the exact configuration you need and a delivery date in writing before you pay.

Related reading:

• Figment vs ALP Hosting
• Figment vs Adminor
• Managed Build Mac or Managed Mac Team: Which Is Right?