RTX PRO 5000 or 4500 cards vs fewer NVIDIA RTX PRO 6000 Blackwell: 12 builds compared

The largest model per card decides first

Several RTX PRO 5000 or RTX PRO 4500 cards beat fewer RTX PRO 6000 when your models fit in 32 to 72 GB per card and you want many separate services, MIG slices or vGPU desktops on one host. Fewer RTX PRO 6000 cards win when one model has to fit on one card: Llama 3.3 70B in FP8 needs 67.7 GiB of weights, which fits a 96 GB card and no smaller RTX PRO Blackwell card. At equal board power, four RTX PRO 6000 Max-Q hold a third more memory than four RTX PRO 5000 72 GB.

The NVIDIA RTX PRO 6000 Blackwell comes as Workstation Edition (600 W, active), Max-Q (300 W, blower, up to four per workstation by NVIDIA) and Server Edition (passive, up to 600 W, configurable). The mid-range cards in this comparison are the RTX PRO 5000 with 48 or 72 GB, the RTX PRO 4500 in its workstation version and as Server Edition, and the RTX PRO 4000. All of them are PCIe 5.0 x16 cards without NVLink, so a model larger than one card is split over PCIe whichever build you pick. Card-by-card differences are in our RTX PRO 6000 vs 5000 vs 4500 comparison; this page compares whole builds.

Twelve builds side by side

The table puts two, four and eight cards of each type next to each other. Usable memory follows our users-per-card rule: 90 per cent of the memory the driver reports, less 3 GiB per card for the CUDA context and activations. The driver reports 95.6 GiB on a 96 GB card, and for the smaller cards we scale that figure in proportion to capacity, which gives 61.5 GiB on a 72 GB card, 40.0 GiB on 48 GB, 25.7 GiB on 32 GB and 18.5 GiB on 24 GB. The rule and its derivation are in our guide to how many users one RTX PRO 6000 can serve.

NVIDIA product pages and datasheets read on 24 October 2026 (RTX PRO 4500 Server Edition 800 GB/s and 165 W; RTX PRO 4500 896 GB/s and 200 W; RTX PRO 4000 672 GB/s and 145 W; RTX PRO 5000 1,344 GB/s and 300 W; Max-Q 1,792 GB/s and 300 W; Server Edition 1,597 GB/s, 300 to 600 W; Workstation Edition 1,792 GB/s and 600 W). Bandwidth is the sum over the cards, usable memory is our estimate by the rule above. "Server" means Server Edition, "WS" Workstation Edition.

Summed bandwidth helps only when every card works at once, for example on separate copies of a model; a single conversation on one card sees that card's bandwidth. Slot counts matter for the chassis: the RTX PRO 4500 Server Edition and the RTX PRO 4000 are single-slot cards, while the workstation RTX PRO 4500, the RTX PRO 5000 and every RTX PRO 6000 in air-cooled form take two slots. That gives 32 GB per slot on the 4500 Server Edition, 24 GB on the 4000, 36 GB on the 5000 72 GB and 48 GB on a 96 GB card. The figures assume ECC off; with ECC on, a GDDR card gives up 6.25 per cent of its memory, as our L40S vs RTX PRO 4500 Server Edition comparison explains. We left the RTX PRO 5500 out: NVIDIA still publishes preliminary specifications for it.

Memory per card decides what runs without splitting

A model that fits on one card runs as one copy per card with no traffic between cards, and a failed card takes out only its own copy. That is the simplest layout and the one to aim for. The table shows which models fit one card of each size by our rule and how much is left beside them for KV cache.

Our estimate by the users-per-card rule. Weights: Llama 3.3 70B in NVIDIA's FP8 checkpoint 67.7 GiB, gpt-oss-120b 60.8 GiB (65.3 GB of safetensors), Qwen3-32B in FP8 32.0 GiB, as in our model guides.

The RTX PRO 5000 72 GB holds gpt-oss-120b only on paper: 0.7 GiB is left for cache, which serves no conversation. Llama 3.3 70B in NVFP4, 39.8 GiB, fits a 72 GB or 96 GB card but leaves nothing on a 48 GB card. For the model list most companies bring, a 70B model plus one or two smaller ones, the line runs between 72 and 96 GB.

Four RTX PRO 6000 Max-Q against four RTX PRO 5000 72 GB

This is the comparison buyers ask about most, and the datasheets settle most of it. Both builds fit in a four-card workstation, both cards are 300 W blower designs in two slots, and both builds draw 1,200 W of board power. The Max-Q build has 384 GB against 288 GB, 7,168 GB/s against 5,376 GB/s, and 0.32 GB of memory per watt against 0.24. A Max-Q card holds Llama 3.3 70B in FP8 on its own; the 72 GB card does not.

The RTX PRO 5000 72 GB has one argument of its own: NVIDIA's vGPU list includes it from release 20.2, on Red Hat Enterprise Linux KVM only, while the Max-Q is not on the list at all. MIG is no argument for it. NVIDIA's product page gives the RTX PRO 5000 up to two MIG instances, 36 GB each on the 72 GB card by NVIDIA's datasheet (NVIDIA's MIG user guide lists only the 48 GB card so far), while a Max-Q splits into two 48 GB or four 24 GB instances. If you do not need vGPU on Red Hat KVM, the comparison comes down to the price per card, which we quote for both. Our RTX PRO 5000 48 GB or 72 GB article covers the choice inside the 5000 family, and four RTX PRO 6000 Max-Q in one workstation covers the towers.

The Max-Q belongs in workstations. In a rack server it fits only a chassis whose maker lists it, and for continuous operation in a rack we recommend the Server Edition, which is passive and designed for server airflow, as our article on the RTX PRO 6000 Max-Q in a rack server explains.

Splitting models over PCIe on mid-range cards

On 32 or 48 GB cards a 70B model is always split, and that brings PCIe into every token. By default vLLM's source disables its custom all-reduce on more than two GPUs without NVLink, with the warning "Custom allreduce is disabled because it's not supported on more than two PCIe-only GPUs", and falls back to NCCL. A TP=2 pair keeps the faster path by default; TP=4 and TP=8 do not. vLLM 0.30.0 (release notes, 22 September 2026) added an opt-in FlashInfer PCIe IPC all-reduce for systems without NVLink (#53576). vLLM's parallelism guide, updated on 15 October 2026, advises that GPUs without NVLink "leverage pipeline parallelism instead of tensor parallelism for higher throughput and lower communication overhead". Our article on RTX PRO 6000 without NVLink: TP=2, TP=4 or replicas goes through the options.

We found no consistent published measurement of tensor-parallel scaling on four or eight RTX PRO 4500 or 5000 cards, so the counts below are memory arithmetic and say nothing about speed per user. Single-card measurements exist. StorageReview's review of the RTX PRO 4500 Server Edition of 14 October 2026, with vLLM 0.27.1 at 32 concurrent streams, measured 1,107 output tokens per second for the RTX PRO 4500 Server Edition on Ministral 3 14B in FP8 at a 512/512 chat shape, against 2,283 for an RTX PRO 6000 at 600 W (a Workstation Edition card in a separate tower, which StorageReview used in place of the Server Edition). With 8,192-token inputs the figures were about 180 and 608; StorageReview attributes the flat curve of the smaller card to its 32 GB running out of KV cache. Per rated watt the smaller card leads at short context: 1,107 ÷ 165 is 6.7 tokens per second per watt, 2,283 ÷ 600 is 3.8, by our division.

Conversations per build by our sizing rule

The table counts conversations of 8,192 tokens held at the same moment, with an FP8 KV cache: 1.25 GiB per conversation for Llama 3.3 70B, 1.0 GiB for Qwen3-32B and 0.625 GiB for Qwen3-14B. Each cell shows the layout with the most copies that still fits.

Our estimate, memory-bound, not measurements: (usable memory of the copy − weights) ÷ cache per conversation, rounded down. Weights 67.7, 39.8, 32.0 and 15.2 GiB. Cache per token from each model's config.json, as in our model guides.

Fewer copies hold more conversations, because each copy stores its own weights. Four RTX PRO 6000 cards hold 156 conversations of Llama 3.3 70B in FP8 as two TP=2 pairs, against 88 on four 72 GB cards in the same layout. With one copy over all four cards the counts are 211 and 142, and 73 on four 48 GB cards. Eight RTX PRO 4500 Server Edition cards reach 110 as one TP=8 copy, at the cost of an all-reduce across eight cards over PCIe for every layer.

These are requests in flight, not staff. With the example values of our private ChatGPT server sizing by company size, 500 employees produce about 20 requests in flight at peak and 2,000 about 80. A four-card RTX PRO 4000 workstation covers the first case with Qwen3-14B; Llama 3.3 70B for 2,000 staff needs a build with 96 GB cards or four 72 GB cards as TP=2 pairs. We build both kinds; send us your model list and the peak requests your gateway shows, and our team returns the mid-range and the RTX PRO 6000 build side by side.

MIG, vGPU and workstation or server

MIG splits a card into isolated instances with their own memory. NVIDIA's MIG user guide lists four instances for every RTX PRO 6000 edition, two for the RTX PRO 5000 48 GB and two for the RTX PRO 4500 without naming an edition; Lenovo's product guide for the workstation RTX PRO 4500 (26 May 2026) states no MIG support, so we do not plan MIG on the workstation card. The RTX PRO 4000 has no MIG. vGPU, for virtual machines with a share of a card, depends on NVIDIA's list of supported GPUs, last updated on 2 October 2026.

NVIDIA MIG user guide, supported GPUs, and NVIDIA vGPU supported-GPU list (2 October 2026), read on 24 October 2026; RTX PRO 5000 product page ("up to two" instances) and NVIDIA's datasheet for the 72 GB card; Lenovo product guide LP2443 for the workstation RTX PRO 4500. Two-card builds have half the instances.

For virtual desktops or compute VMs on VMware, the 4500 Server Edition and the 6000 Server Edition are the two options in this comparison; NVIDIA's vSphere matrix lists the 4500 Server Edition on ESXi 8.0 Update 3g and later and VCF 9.0.1 and later. MIG on workstation cards needs Linux, a current vBIOS and the display mode switched to compute, which turns the display outputs off. Our guide to MIG and vGPU: how many VMs per GPU counts seats per card.

Power: which builds fit one 16 A feed at 230 V

A 230 V circuit at 16 A delivers 3.68 kW, and we plan 80 per cent of it, 2.94 kW. For four- and eight-card servers we add two 280 W processors to the cards, for the two-card server two 200 W processors, for workstations one 350 W processor, and 15 per cent on top for memory, drives, fans and power-supply losses. These are rated figures; a measurement on the delivered system replaces them with a measured value.

Our estimate: NVIDIA board power, plus 2 × 280 W (AMD EPYC 9355 default TDP) for four- and eight-card servers, 2 × 200 W (AMD EPYC 9135) for the two-card server or 350 W for workstations, plus 15 per cent. Feed: 230 V × 16 A = 3.68 kW, planned at 80 per cent as in our guide to GPU rack power and cooling.

Eleven of the twelve builds stay below 2.94 kW. Four RTX PRO 6000 Server Edition cards at 600 W need 32 A or three-phase at the rack position, or the 450 W mode, which StorageReview found costs 2 to 5 per cent at short context and 4 to 9 per cent at long context, measured on the Workstation Edition standing in for the Server Edition. Eight RTX PRO 4500 Server Edition cards bring 256 GB into a rack position that a four-card RTX PRO 6000 server at full power would exceed. Feed types and A/B redundancy are in our guide to GPU server power on 16 A, 32 A and three-phase.

When eight smaller cards are the better choice

Eight RTX PRO 4500 Server Edition cards give eight separate fault domains and 16 MIG instances of 16 GB in a server, with 24 video decoders against 16 on four RTX PRO 6000. They suit a platform running many small models side by side: embeddings, a reranker, a 14B assistant, speech-to-text and a few department models, each on its own card or MIG half, plus vGPU desktops. Supermicro lists eight 4500 Server Edition cards in its 4U SYS-422GL-NR and 5U SYS-522GA-NRT, and six in its 2U ARS-222GL-NR. Our comparison of eight RTX PRO 4500 or four RTX PRO 6000 Server Edition goes deeper into that pairing.

They suit a 70B-class model less: every copy spans four cards, so eight cards hold two copies, and each token waits for all-reduces over PCIe. If the 70B model is the main workload, four 96 GB cards hold four separate copies with no traffic between them.

Which build for which team

• Department assistant on a 14B to 32B model, under a desk: four RTX PRO 4000 for Qwen3-14B and about 20 requests in flight; four RTX PRO 5000 48 GB for Qwen3-32B in FP8 as four copies.
• One 70B model for a large company, in a workstation: four RTX PRO 6000 Max-Q. Four RTX PRO 5000 72 GB hold the same model only as TP=2 pairs, with fewer conversations.
• VDI on Red Hat KVM plus AI on the same workstation-class cards: RTX PRO 5000 72 GB, the only RTX PRO Blackwell workstation card on NVIDIA's vGPU list.
• Many small models, MIG and vGPU in a rack, one 16 A feed: eight RTX PRO 4500 Server Edition.
• 70B to 120B models in a rack, continuous operation: two or four RTX PRO 6000 Server Edition; four cards at 600 W need more than one 16 A feed.
• One model on one card at a desk: one RTX PRO 6000 Workstation Edition, or two Max-Q when a second copy or a TP=2 pair is planned.

What we supply

You can buy this system from us: our team sizes the configuration to your workload and budget and replies within one business day. We supply every card in this comparison and build AI servers and workstations to order, assembled and tested before delivery, on one EU contract and invoice with manufacturer warranty on every component. Quantities and lead time are confirmed in writing with the quote. Tell us your chassis preference, the circuit at the desk or rack position and your models, and we confirm the cards, lanes and power before quoting.

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