MAC STUDIO M3 ULTRA 512 GB RAM

상품번호	137540918114
상태	Used
거래유형	즉시구매
출고국	미국 (US)

이베이 판매가

$21,900

약 32,280,600원

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상품 설명

the "unobtainium" configuration

Mac Studio M3 Ultra

512GB Unified Memory

LIKE new
24-CORE CPU · 80-CORE GPU · 1TB SSD

❖

Availability

Apple PULLED THIS CONFIGURATION DUE TO WORLDWIDE RAM SHORTAGE

Apple pulled the 512GB option from the Mac Studio configurator in March 2026, citing DRAM supply constraints. Tom's Hardware reported that even Apple couldn't get the chips. There is simply no way to source 512GB RAM for the forseeable future.

The next Mac Studio has slipped to October 2026

Mark Gurman's Power On newsletter for Bloomberg (April 19, 2026) reports the next Mac Studio pushed from summer to October 2026 at the earliest, held up by the same memory shortage.

128GB and 256GB configurations are no longer available either

As of April 11, 2026, Mac Studio configurations with 128GB and 256GB of memory were pulled from Apple's US online store and marked "currently unavailable" — no delivery estimate, no way to order. Only the 96GB base M3 Ultra and smaller M4 Max configurations are left. Mid-tier Mac minis are quoting 16–18 week waits. Desktop supply with high RAM configurations has completely dried up.

Day-one orders arrive in 2027

Even if October ships on time (Bloomberg's headline uses the word "may"), Apple's top-memory configurations typically have 8–12 week waits at launch. That puts a day-one order's realistic delivery around late 2026 to Q1 2027. Apple hasn't confirmed 512GB comes back at all. The announced M5 Max tops out at 128GB.

Timeline

Now	This unit. Sealed, ready to ship.
June '26	WWDC — no Mac Studio announcement (per Bloomberg's April 19 reporting).
Oct '26	Earliest possible M5 Mac Studio. 512GB SKU unconfirmed.
Late '26 — '27	Delivery window after launch-day waitlists.
Unknown	Whether Apple offers 512GB again. M5 Max is confirmed at 128GB max.

Sources — Mark Gurman / Bloomberg Power On (April 19, 2026) · 9to5Mac · Apple's current configurator

A Note on Scams

Some of the other listings for this unit on eBay are scams. Before buying from anyone, check for these warning signs:

— Classified-format listings bypass eBay's buyer protection entirely. Any legitimate seller will use Buy It Now or an auction with the Money Back Guarantee.
— Minimal feedback history. A brand new account listing expensive hardware is a big red flag.
— Sellers outside the US. Cross-border shipments of expensive electronics mean customs risk, long delays, and very little recourse if something goes wrong.
— Prices well below the going rate. If a sealed 512GB unit looks cheap, it isn't real.

— This listing is a standard Buy It Now with full eBay buyer protection. US-based seller in Honolulu, eBay member since 2002, 100% positive feedback, with prior sales of this exact unit visible on my profile.

What 512GB Holds

Memory Available vs. What Fits

■ model ■ second model ■ free

RTX 5090 — 32GB VRAM

cannot run any model below

MiniMax M2.7 at 4-bit ~115GB · ~397GB free

115GB

massive headroom

DeepSeek V4 Flash, native precision ~156GB · 356GB free for 1M context

156GB

fits 1M context window

Qwen3.5-397B at 4-bit ~241GB · 271GB free

241GB

271GB free

GLM-5.1 (754B) at 4-bit ~377GB · only 512GB can hold it

377GB

135GB free

Qwen3.5-397B at 8-bit (FP8) ~400GB · near-lossless fidelity

400GB

112GB free

Qwen3.5-397B + MiniMax M2.7 (both 4-bit) ~356GB · two models, simultaneously

Qwen

MiniMax

156GB

Whatever memory isn't holding weights goes to the context window — or a second model, so you can route tasks between them without reloading.

The Models

Just Released · Best Open-Source Model Available · 1M Context

DeepSeek V4

DeepSeek AI · MIT License · Flash (284B / 13B active) · Pro (1.6T / 49B active)

DeepSeek's own paper calls V4 Pro in its maximum reasoning mode "the best open-source model available today." Codeforces 3206 — higher than GPT-5.4, Gemini 3.1 Pro, and every other frontier model tested. LiveCodeBench 93.5, ahead of Opus 4.6 and Gemini 3.1 Pro. And a 1M-token context window, enabled by a new hybrid attention architecture that cuts the KV cache to 10% of the previous generation.

Why This Hardware

V4 Flash at native precision is ~156GB. A 1M context window eats memory fast — the only consumer desktop that can hold Flash's weights and a full 1M context is a 512GB Mac Studio.

V4 Pro at 1.6T parameters runs ~880GB. Too big for one Studio. Two clustered over Thunderbolt 5 fits it. See The Upgrade Path below.

Codeforces 3206 · LiveCodeBench 93.5
HMMT 2026 95.2 · Apex Shortlist 90.2 · GPQA Diamond 90.1

Released April 7, 2026 · Top Open-Source Coding Model

GLM-5.1

Zhipu AI · MIT License · 754B / 40B active (MoE)

The largest open-weight model released so far, and as of its launch it sits at 58.4 on SWE-Bench Pro — above Claude Opus 4.6 (57.3) and GPT-5.4 (57.7). It's built for long autonomous coding sessions and can run 8+ hours without supervision, self-correcting across hundreds of iterations. 200K context window.

Why This Hardware

GLM-5.1 at 4-bit takes about 377GB of memory. That rules out any Apple Silicon below 512GB and any stack of consumer NVIDIA cards. Running it locally requires either a multi-GPU server or 512GB of unified memory.

SWE-Bench Pro 58.4 · Terminal-Bench 2.0 63.5
AIME 2026 95.3 · GPQA-Diamond 86.2

Trillion-Parameter Open Weights

Kimi K2.6

Moonshot AI · Modified MIT · 1T / 32B active (MoE) · 384 experts · 256K context

Moonshot's flagship. A trillion parameters, natively multimodal (text, images, video), and open weights under a modified MIT license. On head-to-head benchmarks it beats GPT-5.4, Opus 4.6, and Gemini 3.1 Pro across coding and agentic tasks — 58.6 on SWE-Bench Pro, 54.0 on HLE with tools, 66.7 on Terminal-Bench 2.0. It can also decompose a task across up to 300 sub-agents working in parallel.

The Cluster Tier

At native INT4 quantization, K2.6 is around 550GB — slightly more than a single 512GB machine can hold. Two Studios clustered over Thunderbolt 5 is enough. Jeff Geerling's published tests have trillion-parameter Kimi models running at ~30 tok/s across four linked Studios.

SWE-Bench Pro 58.6 · HLE (w/ tools) 54.0
Terminal-Bench 2.0 66.7 · BrowseComp (swarm) 86.3

Open Weights Released April 13, 2026

MiniMax M2.7

MiniMax · 230B / 10B active (MoE) · 256 experts · 200K context

A 230B-parameter MoE that only activates 10B per token, so it stays responsive despite the size. It scores 56.22 on SWE-Bench Pro and 57.0 on Terminal-Bench 2. Its GDPval-AA ELO of 1495 is the top open-source score — only Opus 4.6, Sonnet 4.6, and GPT-5.4 rank higher.

Recursive Self-Improvement

M2.7 is the first MiniMax model to help train its own successor. An internal copy tuned its own coding scaffold over 100+ rounds, reading failure traces, editing code, and running evals, and came away with a 30% performance gain. MiniMax says M2.7 now runs 30–50% of their RL research workflow end-to-end.

SWE-Bench Pro 56.22% · Terminal-Bench 2 57.0%
GDPval-AA ELO 1495 · Memory at 4-bit ~115GB

Best Open-Weight Multimodal Model

Qwen3.5-397B-A17B

Alibaba · 397B / 17B active (MoE) · Text · Image · Video

Natively multimodal — text, images, video in one model. 256K context, 201 languages, thinking and non-thinking modes. Unsloth's independent benchmarks put it in the same tier as Gemini 3 Pro, Claude Opus 4.5, and GPT-5.2.

Run It at 8-bit

4-bit ~241GB · 35 tok/s

Fast and interactive, with 270+ GB left over for context or a second model. This is how most 512GB Studios are run day to day.

8-bit (official FP8) ~400GB · near-lossless

Indistinguishable from full precision in practice. Outside a datacenter, very little consumer hardware can run a 397B-parameter model at 8-bit precision. A 512GB Mac Studio can, with headroom for context.

The Memory Market

Apple built this unit using DRAM it had contracted for back in 2024 and early 2025. That same memory can't be sourced at the same price today.

DRAM contract prices

TrendForce has Q1 2026 DRAM contract prices up 90–95% quarter-over-quarter — the biggest jump on record. Samsung raised contract prices 30–60% between September and November 2025. NAND is up 55–60% over the same stretch.

Supply is going to AI datacenters

IDC projects 70% of 2026 memory production goes to AI datacenters. Micron shut down its consumer Crucial brand to focus on HBM. The WSJ reports Apple execs on extended hotel stays in Seoul negotiating long-term DRAM contracts. IDC calls this a "permanent strategic reallocation" of global silicon.

Shortage expected through 2027–2028

SK Hynix's CEO puts the shortage through late 2027. TeamGroup's GM expects serious relief only in 2028, when new fab capacity comes online. The SK Group chairman said it could last until 2030. Even if Apple wanted to build more 512GB units, the DRAM isn't available at the prices Apple paid for this one.

The Upgrade Path

The Mac Studio has five Thunderbolt 5 ports, and macOS 26.2 added RDMA over Thunderbolt — which lets clustered Macs address each other's memory with under 50μs of latency. With EXO 1.0, two Studios together work as a single 1TB pool of unified memory. Four of them, 2TB. That's enough to run trillion-parameter models like DeepSeek V4 Pro (1.6T parameters, ~880GB) or Kimi K2.6 (1T parameters) locally, on hardware that lives on a desk.

Published Benchmarks

— Four 512GB Mac Studios running Kimi K2 Thinking (1T params) at ~30 tok/s
— Four-node cluster running DeepSeek V3.1 at 8-bit: 32.5 tok/s
— RDMA over Thunderbolt dropped network latency from 300μs to under 50μs — roughly 5× speedup on Kimi K2 vs TCP

Benchmarks from Jeff Geerling's December 2025 cluster tests on Apple-loaned hardware.

Why This Machine

Privacy & Control

— Source code never touches OpenAI, Anthropic, or Google's servers
— Legal and privileged communications stay that way
— Strategy, M&A, and financial data never leave the machine
— Your prompts don't train anyone else's next model. No logs, no content filtering
— Run it headless with Tailscale for private AI access from any device on your network, all routed through your own mesh

Economics

— One-time hardware cost instead of a running API bill
— Unlimited tokens, with no metering on batch jobs or overnight runs
— Fine-tune any model on your own proprietary data without shipping it out
— No subscription tiers, no rate limits, no surprise invoices

Beyond AI

— Four hardware ProRes engines for accelerated video encode and decode, including ProRes RAW
— Run dev environments, VMs, Docker clusters, and a frontier model at the same time without thinking about resources
— Pair it with another Studio over Thunderbolt 5 when you need distributed inference

The Alternative

Matching this much addressable memory on GPUs means four or more datacenter cards. Four H200s alone list at $124,000 to $128,000 before chassis, networking, or cooling. They pull over 2,000 watts combined and need datacenter conditions to run. This is a desktop pulling 215 watts.

Open-weight models keep outgrowing consumer hardware. DeepSeek V4 Flash at native precision needs 156GB plus room for its 1M-token context. GLM-5.1 at 4-bit needs 377GB. Kimi K2.6 at native INT4 needs 550GB. Qwen3.5-397B at 8-bit needs 400GB. Very few machines outside a datacenter can hold any of these, and 512GB unified memory is one of them.

Apple stopped selling the 512GB configuration in March. Bloomberg reports the next Mac Studio has slipped to October, and Apple hasn't said whether 512GB will return at all. The models keep getting bigger. The hardware isn't keeping pace.

Apple doesn't publish unit-level sales numbers, but the 512GB option was the top SKU of an already niche machine and was only on sale for twelve months. Estimates put worldwide production under 10,000 units. This is one of the last still sealed in its box.

The Seller

❖

2002

Member Since

24 yrs

On eBay

ebay

localsource · 100% Positive Feedback

—Ordered direct from Apple. Receipt on file, and serial number provided before shipment on request

—Prior sales of this exact configuration, with reviews visible on my profile

—Ships same day from Honolulu on orders placed before noon HST, with signature confirmation and full insurance

—Overnight UPS Next Day Air available on request

—Local pickup also available in Honolulu

❖

Ships From

Honolulu, Hawaii

Free shipping via UPS 2nd Day Air. Overnight available on request.

구분	220	225	230	235	240	245	250	255	260	265	270	275	280
한국	220	225	230	235	240	245	250	255	260	265	270	275	280
미국	5	5.5	6	6.5	7	7.5	8	8.5	9	9.5	10	10.5	11
영국	2	2.5	3	3.5	4	4.5	5	5.5	6	6.5	7	7.5	8

구분	240	245	250	255	260	265	270	275	280	285	290	295	300
한국	240	245	250	255	260	265	270	275	280	285	290	295	300
미국	6.5	7	7.5	8	8.5	9	9.5	10	10.5	11	11.5	12	13
영국	5.5	6	6.5	7	7.5	8	8.5	9	9.5	10	10.5	11	12

구분	사이즈
발길이(mm)	70	83	89	92	95	102	105
미국	0	0.5	1	1.5	2	2.5	3

구분	사이즈
발길이(mm)	108	114	117	121	127	130	133	140	143	146	152	156	159
미국	10.5	11	11.5	12	12.5	13	13.5	1	1.5	2	2.5	3

구분	사이즈
발길이(mm)	168	171	178	181	184	191	194	197	203	206	210	216
미국	6.5	7	7.5	8	8.5	9	9.5	10	10.5	11	11.5	12

구분	XS	S	M	L	XXL
한국/일본 1	90이하	90	95	100	100이상
한국 2	44	55	66	77	88
미국 (문자)	XS	S	M	L	XXL
미국 (숫자)	2	4-6	8-10	12-14	14-16
이태리	36	38~40	42~44	46~48	50~52

부위	XS	S	M	L	XXL
가슴둘레 (cm)	81~84	86~89	91~97	99~104	109~114
가슴둘레 (inch)	32~33	34~35	36~37	38~39	40+
팔길이 (cm)	75~76	77~79	80~81	83~84	85~86
허리둘레 (cm)	61~64	66~69	71~76	79~84	89~94
허리둘레 (inch)	24~25	26~27	28~30	31~33	35~37
힙둘레 (cm)	88~90	93~95	98~102	105~109	114~119
힙둘레 (inch)	34	35~36	37~38	39~41	42~45

구분	0-1	3-5	7-9	10-13
미국 (숫자)	0-1	3-5	7-9	10-13
한국 2	44	55	66	77
가슴둘레 (inch)	31~32	33~34	35~36	37~38
허리둘레 (inch)	23~24	25~26	27~28	29~30
힙둘레 (inch)	34~35	36~37	38~39	40~41

밑가슴	가슴둘레	한국	미국	허용범위
65	70~73	65A	30AA	63~68cm
	74~76	65B	30A
	77~79	65C	30B
	79~81	65D	30C
	81~83	65DD	30D
70	79~81	70A	32AA	68~73cm
	82~84	70B	32A
	84~86	70C	32B
	86~88	70D	32C
	89~91	70DD	32D
75	83~86	75A	34AA	73~78cm
	87~89	75B	34A
	89~91	75C	34B
	91~93	75D	34C
	93~95	75DD	34D
80	89~91	80A	36AA	78~83cm
	92~94	80B	36A
	94~96	80C	36B
	96~98	80D	36C
	98~100	80DD	36D
85	94~96	85A	38AA	83~88cm
	97~99	85B	38A
	99~101	85C	38B
	101~103	85D	38C
	103~105	85DD	38D
90	99~101	90A	40AA	88~93cm
	102~104	90B	40A
	104~106	90C	40B
	106~108	90D	40C
	108~110	90DD	40D

사이즈	한국	미국	Bust	Waist	Hip
XXS	85	0	31.5	23	33.5
XS	90	2	32.5	24	34.5
XS	90	4	33.5	25	35.5
S	95	6	34.5	26	36.5
S	95	8	35.5	27	37.5
M	95	10	36.5	28	38.5
M	100	12	38	29.5	40
L	105	14	39.5	31	41.5
L	105	16	41	32.5	43
XL	110	18	43	34.5	45
XL	110	20	45	46.5	47

구분	5	6	7	8	9	10	11	12	13	14	15
한국	5	6	7	8	9	10	11	12	13	14	15
미국	3	3.5	4	4.5	5	5.5	6	6.5	6.5	7	7
독일	45	46	47	48	49	50	51	52	53	54	55
mm			46.5	46.5	46.5	50.3	51.5	52.8	52.8	54	54

구분	XS	S	M	L	XL	XXL
미국	XS	S	M	L	XL	XXL
여성 허리 (inch)	24	25~26	27~28	29~31	32~34	36~38

구분	16	17	18	19	20	21	22	23	24	25	26
한국	16	17	18	19	20	21	22	23	24	25	26
미국	7.5	8	8.5	9	9.5	10	10.5	10.5	11	11.5	12
독일	56	57	58	59	60	61	62	63	64	65	66
mm	55.3	56.6	57.8	59.1	60.3	61.6	62.8	62.8	64.1	65.3	66.6