By Billy G.R. · 2 October 2026
Checked 2026-10-02. Author: Billy G.R. Retail prices move; the hardware catalog stores the Amazon snapshot, not a promise of stock.
Claim. devin.ai, read 2 October 2026, says Devin runs in the cloud or on your machine, can use its own VMs, and that you can iterate in Desktop or the CLI. Parallel cloud agents are part of that description.
Method. Primary homepage fetch. A cognition.ai/blog/devin-desktop URL returned 404 the same day.
As of.
Claim. That homepage did not use the words Windsurf or Cascade. Older search names are not confirmed as current product labels here.
Method. Absence on the page I fetched. If your installed app still says Cascade, verify it in the client rather than from this guide.
As of.
Claim. One local coding loop at 27–32B Q4 fits a 24 GB card (18.2–21.2 GB). A fleet of resident models wants 48–128 GB or more than one GPU.
Method. Site formula. N full copies cost N times the weights unless they share one server.
As of.
Methodology — parameter math, quantization bytes, and the source list.
Devin’s site, fetched 2 October 2026, describes an autonomous software engineer that runs in the cloud or on your machine, tests in its own browser, and can split work across parallel cloud agents. The page says you delegate to Devin Cloud, iterate in Desktop or the CLI, or mention @Devin in Slack, Teams, and issue trackers. Sessions run in their own VMs. I am not quoting a price. The page sends you to “Get started” and “Book a demo,” and the numbers that do appear there (a cost-efficiency claim, model names in a changelog) are marketing lines I am not turning into a hardware recommendation.
Devin’s parallelism is several cloud VMs. Your parallelism is however many models fit in memory, or however many clients share one model. The second design is the one that works on hardware a person can buy.
A single Cascade-like loop — one agent, one repo, one model — is a 24 GB problem. A fleet of specialists that each load their own 32B is a fantasy on that card. See also Cursor Cloud Agents, which is the other commercial “many VMs” product.
| Shape | Weights at Q4 | Hardware |
|---|---|---|
| One coding loop | 27B = 18.2 GB, or 32B = 21.2 GB | 24 GB GPU or 36 GB unified |
| Many clients, one server | Same 21.2 GB, plus KV cache per client | 48 GB if the chats are long |
| Two full models resident | Roughly double. Two 32B Q4 loads are about 42 GB before cache. | 64–128 GB, or two GPUs. The calculator is per model; add them yourself. |
K2-Horizon-MoVA-36B-A4B is 36B total and about 4B active. Q4 of the full expert set is on the order of 36 × 0.6 + 2 = 23.6 GB. It can feel fast and still fill a 24 GB card. Active parameters are not a discount on memory.
If you truly want more than one heavy model hot, the verified 128 GB machine is the GMKtec EVO-X2, ASIN B0F53MLYQ6, $3,649.99 on 1 October 2026. No CUDA. Bandwidth is the Strix Halo class, not a 5090. A single loop does not need it. A 24 GB card, or the 36 GB Studio, is the honest buy for one Devin-like local agent. I am not linking a Devin SKU. There isn’t an Amazon listing for the software in this catalog.
GMKtec EVO-X2 128 GB on Amazon
ASIN B0F53MLYQ6. Amazon Associates link. The live price is on that page, not locked in here.
A correction or a hardware question goes to the contact page.