Is the RTX PRO 4500 Worth $4,700 for Local LLMs? (2026)
The RTX PRO 4500 Blackwell is NVIDIA's 32GB workstation card: GDDR7 with ECC, 896 GB/s, 200W, dual slot. That is the same memory size as an RTX 5090 at half the bandwidth and about a third of the power. As of September 2026, every in-stock listing we read costs $4,600-5,285. That is more than an RTX 5090 at its $4,299 floor. This page gives the verdict per buyer, the price per GB and per GB/s, community llama.cpp speed, and the one build where the card wins.
Bottom Line
The RTX PRO 4500 costs about $4,700 in stock as of September 2026. That is $401 more than an RTX 5090 at its $4,299 floor, for half the bandwidth. It only makes sense where its 200W rating matters more than speed.
| Buyer | Worth ~$4,700? | Why |
|---|---|---|
| You want one fast 32GB card at home | No | The RTX 5090 costs $4,299 and generates 1.78x faster on the community scoreboard. |
| You plan three or four cards on one 15A wall circuit, and need CUDA | Yes | Four PRO 4500s draw 800W of board power for 128GB. Four 5090s draw 2,300W. |
| Your employer needs ECC, pro drivers and a vendor-supported workstation card | Yes | It has ECC GDDR7, a blower cooler and NVIDIA’s professional driver line. |
| You want 32GB for the least money | No | A Radeon AI PRO R9700 has 32GB for about $1,599 street. |
| You are fine with 24GB | No | A used RTX 3090 ($1,463) generates only 4% slower on the same scoreboard test. |
| You find one near the $3,300 tracker price | Maybe | At $3,300 it costs $3.68 per GB/s. The 5090 still costs less, at $2.40. |
The short version: per GB/s of bandwidth, the PRO 4500 is the most expensive 32GB card we price. You pay for the 200W envelope, the blower and ECC. For one card on a desk, none of those beat twice the speed.
The price as of September 2026
NVIDIA does not publish a US list price on the product page. The prices we read tonight, all for new cards:
| Seller | Price | Stock | Date read | Source |
|---|---|---|---|---|
| Central Computer, NVIDIA-branded 900-5G147-2550-000 | $4,599.99 | In store (Bay Area) | 2026-09-27 | Retailer category page |
| Central Computer, PNY VCNRTXPRO4500B-PB | $4,699.99 | In stock (1 unit, one store) | 2026-09-27 | Retailer page |
| Newegg marketplace (antonline), PNY | $5,031.03 | In stock | 2026-09-27 | Newegg N82E16814985048 |
| Newegg, PNY | $5,199.00 | In stock | 2026-09-27 | Newegg N82E16814985048 |
| CDW, PNY | $5,284.99 (list $5,499) | In stock | 2026-09-27 | CDW 8388914 |
| Newegg marketplace, NVIDIA-branded 900-5G147 | $6,048.99-6,098.90 | In stock | 2026-09-27 | Newegg N82E16814132110 |
| Newegg open box, NVIDIA-branded | $2,868.99 | Out of stock | 2026-09-27 | Newegg N82E16814132110R |
| gpuprix tracker: current low / 12-month low / median | $3,300 / $2,500 / $3,300 | n/a | updated 2026-09-27 | gpuprix.com |
We use $4,700 as the working price. It is the PNY retail card that most sellers stock. An NVIDIA-branded unit was $100 less, in Central Computer stores only. The gpuprix tracker shows a $3,300 low from Newegg, but no Newegg listing we opened showed that price. We give the $3,300 math as well, because the tracker’s 12-month median is also $3,300. B&H and Micro Center blocked our reads.
The price gap runs the wrong way. A professional card with half the bandwidth now sells above the gaming flagship. The cause is the 2026 GDDR7 shortage, which hits every 32GB card.
There is no catalog link for the RTX PRO 4500. Check any listing against the $4,600-5,285 in-stock range before you pay.
Specs next to the alternatives
PRO 4500 specs come from NVIDIA’s product page and the PNY datasheet: 10,496 CUDA cores, 32GB GDDR7 with ECC, 256-bit, 896 GB/s, 200W total board power, dual slot, one 16-pin connector. Central Computer lists the cooler as a single-fan blower. NVIDIA and PNY list it only as “active.”
| Card | Memory | Bandwidth | Board power | Price (as of) | $ per GB | $ per GB/s |
|---|---|---|---|---|---|---|
| RTX PRO 4500 Blackwell | 32GB GDDR7 ECC | 896 GB/s | 200W | $4,700 (Sep 27) | $147 | $5.25 |
| RTX PRO 4500 at tracker low | 32GB GDDR7 ECC | 896 GB/s | 200W | $3,300 (gpuprix, Sep 27) | $103 | $3.68 |
| RTX 5090 | 32GB GDDR7 | 1,792 GB/s | 575W | $4,299 floor (Sep 22) | $134 | $2.40 |
| Radeon AI PRO R9700 | 32GB GDDR6 | 640 GB/s | 300W | $1,599 street avg (Sep) | $50 | $2.50 |
| Intel Arc Pro B70 | 32GB GDDR6 | 608 GB/s | 230W (Intel card) | $1,299-1,779 (as of August) | $41-56 | $2.14-2.93 |
| RTX PRO 4000 Blackwell | 24GB GDDR7 ECC | 672 GB/s | 145W, single slot | $3,150 (gpuprix, Sep 27) | $131 | $4.69 |
| Used RTX 3090 | 24GB GDDR6X | 936 GB/s | n/a here | $1,463 avg (Sep 24) | $61 | $1.56 |
Dollars per GB and per GB/s are our arithmetic. For example, $4,700 / 896 GB/s = $5.25.
Three things stand out.
- Per GB/s, the PRO 4500 costs 2.2x an RTX 5090. $5.25 against $2.40. Even at the $3,300 tracker low it costs $3.68.
- A used RTX 3090 has more bandwidth. 936 GB/s against 896 GB/s, for 31% of the price. It has 8GB less memory.
- The PRO 4000 is not a cheap way in. At the $3,150 tracker price it gives 24GB and 672 GB/s. That is 75% of the PRO 4500’s bandwidth for 67% of its price.
What $4,700 buys instead
All prices as of September 2026 unless marked.
| Option | Cost | Memory | What you gain | What you lose |
|---|---|---|---|---|
| One RTX 5090 | $4,299 | 32GB | 2x bandwidth, $401 left over | 375W more power, a gaming card with no ECC listed |
| Two R9700s at street | $3,198 | 64GB | 2x memory, holds Llama 3.3 70B Q4_K_M (42.5GB) | ROCm instead of CUDA, 640 GB/s each |
| Three used RTX 3090s | $4,389 | 72GB | 2.25x memory, 936 GB/s each | Used cards, no warranty, high power |
| Two Arc Pro B70s (August prices) | $2,598-3,558 | 64GB | 2x memory | Least settled software stack of the four |
RTX 5090. Same 32GB, same CUDA, twice the bandwidth, and it costs less tonight. For a single card, the RTX 5090 is the better use of $4,700. Buy near the $4,299 floor, and avoid marketplace listings above $6,000. The full verdict is in is the RTX 5090 worth it.
Radeon AI PRO R9700. 32GB for about a third of the price. It has 71% of the PRO 4500’s bandwidth (640 / 896), so expect slower generation on a model that fits both. That is a bandwidth ratio, not a measurement. Two cards give 64GB for $3,198. Buy the Radeon AI PRO R9700 32GB inside the $1,400-1,900 street range. Model picks are in best local LLM for the R9700.
Used RTX 3090. It generates at almost the same speed on the scoreboard test, on CUDA, for $1,463. You give up 8GB and ECC. A used RTX 3090 24GB is the cheapest CUDA route to near-900 GB/s. Read is a used RTX 3090 worth it first.
Intel Arc Pro B70. 32GB at 608 GB/s and 230W on Intel’s own card. Our August read put it at $1,299-1,779. Buy the Intel Arc Pro B70 32GB only near $1,000, as our Arc Pro B70 guide explains.
RTX PRO 4500 LLM performance
All numbers below are community-reported or vendor-reported. They are not our measurements.
The llama.cpp CUDA scoreboard (GitHub discussion #15013) has one PRO 4500 entry, with flash attention on. The test is Llama 2 7B Q4_0.
| Card | Prompt (pp512) | Generation (tg128) | Bandwidth |
|---|---|---|---|
| RTX 5090 | 14,970 tok/s | 300.4 tok/s | 1,792 GB/s |
| RTX 5070 Ti | 8,420 tok/s | 182.4 tok/s | not verified here |
| RTX PRO 4500 Blackwell | 7,252 tok/s | 168.9 tok/s | 896 GB/s |
| RTX 3090 | 5,560 tok/s | 161.9 tok/s | 936 GB/s |
| RTX PRO 4000 Blackwell | 5,674 tok/s | 136.4 tok/s | 672 GB/s |
Entries come from different llama.cpp builds. Read the ratios as a guide.
What the numbers say:
- The 5090 generates 1.78x faster. 300.4 / 168.9 = 1.78. The bandwidth ratio is 2.0.
- The 5090 processes prompts 2.06x faster. 14,970 / 7,252 = 2.06. Long agent prompts wait twice as long on the PRO 4500.
- The PRO 4500 generates only 4% faster than a used 3090. 168.9 / 161.9 = 1.04. It processes prompts 30% faster.
- A 16GB gaming card beats it. The RTX 5070 Ti launched at a $749 MSRP. It posted higher numbers than the PRO 4500 on both tests.
Price divided by generation speed, our arithmetic:
- Used RTX 3090: $1,463 / 161.9 = $9.04 per tok/s
- RTX 5090: $4,299 / 300.4 = $14.31 per tok/s
- RTX PRO 4500: $4,700 / 168.9 = $27.83 per tok/s
Exxact tested the PRO 4500 Server Edition with Ollama (published 2026-05-20). That card is passive, 165W and 800 GB/s, so the Workstation Edition has 12% more bandwidth. Single-GPU results: Phi-4 14B Q4_K_M at 75.7 tok/s generation and 1,856 tok/s prompt. Gemma 4 31B Q4_K_M at 33.8 tok/s. Nemotron Nano 30B Q4_K_M at 156.1 tok/s. Llama 3.3 70B at Q3_K_M ran at about 14.6 tok/s in Ollama, but llama-bench ran out of memory for the KV cache.
What 32GB runs on this card
File sizes from the Hugging Face API, read 2026-09-27. Speeds marked “estimate” are ours.
| Model | Quant | File size | Fits 32GB? | PRO 4500 generation |
|---|---|---|---|---|
| gpt-oss 20B | native MXFP4 | 13.8GB | Yes | not measured |
| Qwen3.8 27B | UD-Q4_K_M | 16.5GB | Yes | ~44 tok/s (estimate) |
| Qwen3.8 27B | Q8_0 | 29.1GB | Yes, about 3GB left for context | ~25 tok/s (estimate) |
| Qwen3.6 35B-A3B | UD-Q4_K_M | 22.1GB | Yes, with context room | not measured |
| Qwen3.6 35B-A3B | UD-Q6_K | 29.3GB | Yes, short context | not measured |
| Llama 3.3 70B | Q4_K_M | 42.5GB | No | n/a |
| gpt-oss 120B | native MXFP4 | 65.4GB | No | n/a |
The estimates use one rule. A dense model reads all its weights for each token. 896 GB/s / 16.46GB = 54 tok/s as a ceiling. llama.cpp reaches about 80% of that in practice, which gives 44 tok/s. For Q8_0: 896 / 29.05 = 31, times 0.8 = 25 tok/s. An RTX 5090 would reach about twice each figure. Mixture-of-experts models like Qwen3.6 35B-A3B read only their active weights per token, so they run much faster. Which models fit 32GB is covered in is 32GB of VRAM enough.
The one build where it wins: four cards, one circuit
This is the case the card was designed for. Board power only, from the vendor spec pages:
| Four cards | Memory | Board power | Card cost | Fits a 15A circuit (1,440W continuous)? |
|---|---|---|---|---|
| 4x RTX PRO 4500 | 128GB | 800W | $18,800 | Yes, with room for the CPU and platform |
| 4x RTX 5090 | 128GB | 2,300W | $17,196 | No. Not a 20A circuit (1,920W) either |
| 4x R9700 | 128GB | 1,200W | $6,396 | Tight once you add the CPU |
| 4x Arc Pro B70 | 128GB | 920W | $5,196-7,116 (August) | Yes |
A North American 15A, 120V circuit carries 1,440W continuously under the 80% rule. Our electrical requirements guide has the full math. Four PRO 4500s draw 800W. Two RTX 5090s alone draw 1,150W.
The blower matters here too. A blower fan pushes its heat out through the rear bracket, not into the case. With four cards at dual-slot spacing, that is the cooler you want.
Two more numbers put the four-card build in context. One RTX PRO 6000 96GB cost about $15,600-16,000 as of 2026-09-12. Four PRO 4500s cost $18,800 at tonight’s price and give 128GB. Four R9700s give the same 128GB for $6,396 at 1,200W, if you can run ROCm.
Electricity
At the $0.18/kWh US average (as of August 2026), rated power costs:
| Card | Per hour at full load | 8 h/day for a year | 24/7 for a year |
|---|---|---|---|
| RTX PRO 4500 (200W) | $0.036 | $105 | $315 |
| RTX 5090 (575W) | $0.104 | $302 | $907 |
| Difference | $0.068 | $197 | $591 |
Our arithmetic: 0.575 kW x 8,760 h x $0.18 = $907. These are upper bounds. Cards rarely hold full power during single-user chat. Even so, a card running 24/7 saves up to $591 a year on power, which covers tonight’s $401 price gap in about 8 months. For a desktop used a few hours a day, the saving is small.
Rent vs buy
GetDeploying lists the RTX PRO 4500 from $0.72 per hour on RunPod and $0.32 on Vast.ai (read 2026-09-27). RunPod’s own pricing page lists it only under Serverless, at $1.15 per hour.
At $4,700 and $0.036 per hour of power, the RunPod rate breaks even after about 6,870 hours: $4,700 / ($0.72 - $0.036). That is 2.4 years at 8 hours a day. Rent one for a week before you buy, and time your real workloads on it.
Caveats
- Two editions share the name. The Workstation Edition is 896 GB/s, 200W, active cooling. The Server Edition is 800 GB/s, 165W, passive and single slot. It needs server airflow. Check the part number before you buy.
- The price is unstable. The tracker median is $3,300 and in-stock listings run $4,600-5,285. If a real listing appears near $3,300, rerun the table above.
- One scoreboard entry. The llama.cpp number comes from one user’s card on one build. We found no community llama.cpp test on larger models.
Sources
- NVIDIA RTX PRO 4500 Blackwell Workstation Edition (32GB GDDR7 ECC, 896 GB/s, 200W, dual slot), read 2026-09-27
- PNY RTX PRO 4500 Blackwell datasheet (10,496 CUDA cores, 256-bit, 16-pin, active thermal), read 2026-09-27
- NVIDIA RTX PRO 4500 Blackwell Server Edition (800 GB/s, 165W, passive), read 2026-09-27
- NVIDIA RTX PRO 4000 Blackwell (24GB, 672 GB/s, 145W, single slot), read 2026-09-27
- Central Computer: PNY RTX PRO 4500, $4,699.99 in stock, read 2026-09-27
- Central Computer: RTX PRO Blackwell lineup (single-fan blower), updated 2026-07-03
- Newegg: PNY RTX PRO 4500 listings, read 2026-09-27
- CDW: PNY RTX PRO 4500, $5,284.99, read 2026-09-27
- gpuprix: RTX PRO 4500 Blackwell US price tracker, updated 2026-09-27
- gpuprix: RTX PRO 4000 Blackwell US price tracker, updated 2026-09-27
- llama.cpp discussion #15013: performance of llama.cpp on NVIDIA CUDA (community-reported)
- Exxact: RTX PRO 4500 Blackwell Server Edition LLM inference benchmark, 2026-05-20
- NVIDIA GeForce RTX 5090 specifications (32GB, 512-bit, 575W)
- Tom’s Hardware: MSI RTX 5090 for $4,299 at Walmart, 2026-09-22
- Intel Arc Pro B70 specifications (32GB, 608 GB/s, 230W TBP), read 2026-09-27
- AMD Radeon AI PRO R9700 specifications (32GB, 640 GB/s, 300W)
- runaihome: R9700 street price tracking, September 2026
- ResalePrices: used RTX 3090 eBay US market, read 2026-09-24
- GetDeploying: RTX PRO 4500 cloud pricing, read 2026-09-27
- RunPod GPU pricing, read 2026-09-27
- Model file sizes from the Hugging Face API, read 2026-09-27: unsloth/gpt-oss-20b-GGUF, unsloth/Qwen3.8-27B-GGUF, unsloth/Qwen3.6-35B-A3B-GGUF, bartowski/Llama-3.3-70B-Instruct-GGUF, unsloth/gpt-oss-120b-GGUF
See Also
- Is the RTX 5090 Worth It?: the same 32GB at twice the bandwidth
- Is the RTX 4090 Worth It?: 24GB at about $2,600 used
- Is a Used RTX 3090 Worth It?: near-900 GB/s on CUDA for $1,463
- Cheapest 32GB VRAM GPU in 2026: every route to 32GB, ranked by price
- Best Local LLM for the R9700: what 32GB of AMD runs
- Intel Arc Pro B70 for Local LLMs: the other 32GB workstation card
- RTX PRO 6000 vs RTX 5090: the 96GB workstation step up
- Electrical Requirements for an AI Workstation: circuit math for multi-GPU rigs
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