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GPUs tracked57Price history49 daysPrice points (24h)39,704 pointsBiggest 24h dropRadeon RX 7900 XTX-3.8%Biggest 24h riseCMP 170HX 40GB+19.8%Updated
$ USD

Radeon PRO W7900 Price & Used Prices: Which Local LLMs Can It Run?

AMD's Radeon PRO W7900 (2023) is a 48GB ECC workstation card running 30B-class MoE at 8-bit at about 106 tokens/s. For multi-GPU, get the Dual Slot model.

eBay

Radeon PRO W7900 price history

Current$3,5990.00%
eBay
Price updated
$4,010$3,817$3,624$3,431$3,238
Low $3,550High $3,900
Sep 5Sep 27Oct 18

As an eBay Partner, VRAMGlass may be compensated if you buy through the eBay links on this page. The price you pay stays the same.

Full Radeon PRO W7900 specifications

  • Memory48 GB · GDDR6 ECC
  • Bandwidth864 GB/s
  • FP16 / BF16123 TFLOPS
  • INT8123 TOPS
Bus width
384-bit
Architecture
RDNA 3 (Navi 31)
Cores
6,144
Tensor cores
192
Ecosystem
ROCm
Interface
PCIe 4.0 x16
Power
295 W
Power connector
2× 8-pin
Slots
3
Length
280 mm
Type
Workstation
Launch date
Apr 13, 2023
MSRP
$3,999

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What LLMs can a single Radeon PRO W7900 run?

One W7900 fits everything up to 35B at 8-bit. Keep MoE at 8-bit, only 20% slower than 4-bit; dense drops to about 20 tokens/s there, so use 4-bit.

ModelSizeRuns?Speed t/sMax context
Gemma 4 12B12B7.1 GBRuns80.2256K
Gemma 4 26B A4B25.2B (3.8B active)16.9 GBRuns113.3256K
Qwen3.6 27B27.8B16.8 GBRuns36.8256K
Qwen3.8 27B27.8B16.5 GBRuns37.4256K
GLM 4.7 Flash30B (3B active)18.3 GBRuns128.4198K
Gemma 4 31B30.7B18.3 GBRuns33.2256K
Qwen3.6 35B A3B36B (3B active)22.1 GBRuns131.4256K

RunsFits fully in VRAM; speed is estimated from VRAM bandwidth.

Needs RAM offloadMoE only: expert weights sit in system RAM, so speed is estimated from 70 GB/s RAM bandwidth.

Too bigWon’t fit on one card at this quantization, even with RAM offload.

Full calculation rules are on the Methodology page.

What LLMs can multiple Radeon PRO W7900 cards run?

Four W7900s (192GB) run DeepSeek V4 Flash at 4-bit at about 64 tokens/s, barely slower at 8-bit; two handle Qwen3.8 Flash Next at 2-bit.

ModelSizeCardsTotal priceTotal VRAMSpeed t/sTotal power
Qwen3.8 Flash Next176B (6B active)111.3 GB4 cards$14,396192 GB90.71,180 W
DeepSeek V4 Flash284B (13B active)155.1 GB4 cards$14,396192 GB64.31,180 W
Hy3295B (21B active)182.2 GB8 cards$28,792384 GB312,360 W
GLM 5.3 Flash320B (18B active)199.7 GB8 cards$28,792384 GB45.62,360 W

Full calculation rules are on the Methodology page.

Who it suits

Good fit

  1. Running MoE models at 8-bit

    Qwen3.6 35B A3B at 8-bit runs at about 106 tokens/s, only 20% slower than at 4-bit

  2. Long context with 30B-class models

    Gemma 4 31B and Qwen3.8 27B at 4-bit can both use the full 256K, at about 33 to 37 tokens/s

  3. Your workstation calls for a factory card

    Blower cooling, ECC VRAM, and a dual-slot version that makes four cards easy to fit

Not a good fit

  1. You're after single-card speed

    The 4090 48GB modded card, also 48GB, runs dense models a bit over 10% faster and processes long prompts much faster still

  2. Your case is tight on space

    The standard version takes three slots, and the dual-slot version has to be sought out separately

  3. You need vLLM's AWQ or GPTQ quantization

    They don't work on AMD cards

Before you buy

  1. Triple-slot and dual-slot versions

    The standard W7900 is a triple-slot blower card, 280 mm long; the later W7900 Dual Slot slims it to two slots at the same power, so one workstation can hold four side by side. When buying used, check which version it is first, because several triple-slot cards take up a lot more slots.

  2. Power supply

    Two 8-pin connectors and 295W, so a 750W power supply is enough for one card (AMD's recommendation). The 4090 48GB modded card, also 48GB, draws 450W through a 12VHPWR connector; by comparison, the W7900 asks far less of your power supply and case cooling.

  3. Software

    It uses the same chip as the RX 7900 XTX with the same ROCm support, and AMD's Windows PyTorch support table even lists the W7900 and the dual-slot version separately. There's one limitation with vLLM: AWQ and GPTQ quantization don't work on AMD cards. 48GB does give you room to run original BF16 weights directly: a 14B-class model's BF16 weights are about 28GB, which still leaves room for context. For bigger models, switch to GGUF and run them with llama.cpp or Ollama.

Compared with similar GPUs

Radeon PRO W7900 vs RTX A6000, GeForce RTX 4090 48GB, and Radeon RX 7900 XTX: price, VRAM, bandwidth, compute and local LLM speed compared.

SpecRadeon PRO W7900RTX A6000GeForce RTX 4090 48GBRadeon RX 7900 XTX
Memory
48 GB
48 GBSame
48 GBSame
24 GB50% less
Bandwidth
864 GB/s
768 GB/s11% lower
1,008 GB/s17% higher
960 GB/s11% higher
BF16 / FP16 compute
123 TFLOPS
155 TFLOPS26% higher
330 TFLOPS169% higher
123 TFLOPSSame
INT8 compute
123 TOPS
310 TOPS152% higher
661 TOPS437% higher
123 TOPSSame
Qwen3.8 27B speed (2-bit)
60.3 t/s
54.1 t/s10% slower
69.3 t/s15% faster
66.3 t/s10% faster
Largest dense model (4-bit)
79B
79BSame
79BSame
37B53% less
Power
295 W
300 WSame
450 W53% higher
355 W20% higher
GPU interconnect
—
NVLink 112.5 GB/s
Not supported
—
Interface
PCIe 4.0 x16
PCIe 4.0 x16
PCIe 4.0 x16
PCIe 4.0 x16
Released
2023-04
2020-10
2022-10
2022-12
eBay median

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Other markets

Amazon.jp · Japan
N/A
No listings
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Xianyu · Mainland China
$2,825
3 listings
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