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GPUs tracked64Price history73 daysPrice points (24h)30,814 pointsBiggest 24h dropCMP 170HX 64GB-10.8%Biggest 24h riseRadeon PRO W7800+33.6%Updated
$ USD

RTX PRO 5500 Price, 84GB VRAM & Local LLMs

The RTX PRO 5500 Blackwell, announced by NVIDIA in September 2026 with 84GB of VRAM, can run a 176B MoE model at 2-bit on one card. It isn't on sale yet, and its specs are preliminary.

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RTX PRO 5500 price history

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RTX PRO 5500 VRAM & full specs

  • Memory84 GB · GDDR7 ECC
  • Bandwidth1,398 GB/s
Bus width
448-bit
Architecture
Blackwell (GB202)
Cores
21,760
Tensor cores
680
Ecosystem
CUDA
Interface
PCIe 5.0 x16
NVLink
Not supported
Power
600 W
Slots
2
Length
282 mm
Type
Workstation
Launch date
Sep 14, 2026

What LLMs can a single RTX PRO 5500 run?

A single PRO 5500's 84GB just fits Qwen3.8 Flash Next at 2-bit, about 132 tokens/s. Up to 35B, go straight to 8-bit with full context.

ModelSizeRuns?Speed t/sMax context
Gemma 4 26B A4B25.2B (3.8B active)16.9 GBRuns137.9256K
Qwen3.6 27B27.8B16.8 GBRuns57.7256K
Qwen3.8 27B27.8B16.5 GBRuns58.7256K
GLM 4.7 Flash30B (3B active)18.3 GBRuns151.3198K
Gemma 4 31B30.7B18.3 GBRuns52.2256K
Qwen3.6 35B A3B36B (3B active)22.1 GBRuns153.9256K

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 RTX PRO 5500 cards run?

Two PRO 5500s (168GB) run DeepSeek V4 Flash at 4-bit at about 88 tokens/s; eight run the trillion-parameter Kimi K2.6 at 4-bit. No NVLink.

ModelSizeCardsTotal priceTotal VRAMSpeed t/sTotal power
Qwen3.8 Flash Next176B (6B active)111.3 GB2 cardsNo price168 GB116.21,200 W
DeepSeek V4 Flash284B (13B active)155.1 GB2 cardsNo price168 GB87.71,200 W
Hy3295B (21B active)182.2 GB4 cardsNo price336 GB46.12,400 W
GLM 5.3 Flash320B (18B active)199.7 GB4 cardsNo price336 GB65.12,400 W
GLM 5.3744B (40B active)467.3 GB8 cardsNo price672 GB33.94,800 W
Hy4 preview770B (49B active)467.3 GB8 cardsNo price672 GB29.64,800 W
Muse Spark Open816B (42B active)505.5 GB8 cardsNo price672 GB33.24,800 W
DeepSeek V4.1 Flash763B (8 / 16B active)510.3 GB8 cardsNo price672 GB57.24,800 W
Kimi K2.61,000B (32B active)583.7 GB8 cardsNo price672 GB43.14,800 W
Kimi K2.7 Code1,000B (32B active)583.7 GB8 cardsNo price672 GB43.14,800 W
Mistral Large 41,000B (52B active)604.8 GB8 cardsNo price672 GB28.54,800 W

Rows marked “Engram in RAM” need about 203 GB of extra system RAM. Full calculation rules are on the Methodology page.

Who it suits

Good fit

  1. Running Qwen3.8 Flash Next at 2-bit on one card

    About 132 tokens/s

  2. Running dense models of 70B and up on one card

    Llama 3.3 70B at 4-bit fits with plenty to spare

  3. Building rack-mounted workstations

    NVIDIA says it is designed for rack deployment, and there is also a liquid-cooled version

Not a good fit

  1. You need it now

    The website still says coming soon, with no release date

  2. Comparing prompt processing speed

    NVIDIA hasn't published compute figures yet

  3. Tight system power

    Each card draws 600W, as much as the RTX PRO 6000 Workstation Edition

Before you buy

  1. The specs are still preliminary

    NVIDIA's website marks the specs as preliminary and subject to change, with a status of coming soon and no release date. The core count and bus width come from PNY's spec page; clock speeds and AI compute haven't been published, so we have left our compute data blank until the official datasheet appears.

  2. Size and power of the air-cooled version

    The air-cooled version is a dual-slot, full-height, full-length card, about 282 mm long, noticeably longer than typical workstation cards, and it takes one 16-pin power connector. Measure the GPU clearance in your case before you build.

  3. MIG splits it only in two

    MIG can split it into at most two 42GB instances (the RTX PRO 6000 can split into four 24GB ones). Each is noticeably larger than the 36GB instances of the PRO 5000 72GB, big enough to hold even Gemma 4 31B at 8-bit (32.6 GB).

Compared with similar GPUs

RTX PRO 5500 vs RTX PRO 6000D, RTX PRO 6000, and RTX PRO 5000 72GB: price, VRAM, bandwidth, compute and local LLM speed compared.

SpecRTX PRO 5500RTX PRO 6000DRTX PRO 6000RTX PRO 5000 72GB
Memory
84 GB
84 GBSame
96 GB14% more
72 GB14% less
Bandwidth
1,398 GB/s
1,398 GB/sSame
1,792 GB/s28% higher
1,344 GB/s4% lower
BF16 / FP16 compute
—
385 TFLOPS
500 TFLOPS
258 TFLOPS
INT8 compute
—
771 TOPS
1,000 TOPS
516 TOPS
Qwen3.8 27B speed (2-bit)
92.7 t/s
92.7 t/sSame
114.6 t/s24% faster
89.5 t/s3% slower
Largest dense model (4-bit)
143B
143BSame
165B15% more
122B15% less
Power
600 W
600 WSame
600 WSame
300 W50% lower
Interface
PCIe 5.0 x16
PCIe 5.0 x16
PCIe 5.0 x16
PCIe 5.0 x16
Released
2026-09
2025-09
2025-03
2025-12
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