NVIDIA RTX A5000
No editorial image yet — generic vendor mark shown. Credentials in spec table below.
24GB Ampere workstation card. Tighter power envelope than RTX 3090.
Affiliate disclosure: as an Amazon Associate and partner of other retailers, we earn from qualifying purchases. The verdict on this page is our editorial opinion; affiliate links never influence what we recommend.
Sub-scores sum to 669 / 1000. Headline = 669 × 0.70 (Estimated-confidence discount) = 468. This is an algorithmic performance-tier score — distinct from, and often lower than, the editorial “Our verdict” below, which weighs value and real-world fit (especially for hardware we haven’t measured yet). How scoring works →
Extrapolated from 768 GB/s bandwidth — 92.2 tok/s estimated. No measured benchmarks yet.
Plain-English: Workable at 32B, comfortable at 14B and below — snappy enough for a coding agent; vision models supported.
Verdicts extrapolated from catalog VRAM + bandwidth + ecosystem flags. Hover any chip for the rationale. Want measured numbers? Submit your own run with runlocalai-bench --submit.
What it does well
The RTX A5000 is the Ampere-generation 24 GB workstation card and the workstation-form alternative to the RTX 3090 for buyers who specifically need ECC + Studio drivers + ISV certification. 24 GB GDDR6 ECC at 768 GB/s + Ampere tensor cores + the full CUDA stack at $2,500 retail (or $1,400–$1,800 well-circulated used). Workstation discipline: ECC RAM, NVIDIA Studio drivers, CAD/simulation ISV certification, 230 W TDP (vs 3090's 350 W) — a single-PCIe-slot blower form factor that drops cleanly into Dell Precision / HP Z / Lenovo P-series workstations. For workstation deployments where 24 GB unlocks 70B Q4 inference + ECC/Studio drivers matter for the procurement channel: 32B FP16 with 32K context, 70B Q4 with 16K, multi-model agentic stacks. NVLink-pair (via the A5000 NVLink bridge) gives 48 GB combined for ~$3,500–$4,000 used — a viable workstation 48 GB CUDA path at modest discount to the RTX A6000 (single-card 48 GB) at $3,500–$4,500 used.
Where it breaks
- Architecture is two generations behind in 2026. Ada Lovelace (RTX 5000 Ada, RTX 6000 Ada) and Blackwell (RTX PRO 6000 Blackwell) deliver dramatically better tensor compute, FP8 native, and architecture-specific optimizations.
- No FP8 native (Ampere limitation). Modern frameworks that exploit FP8 throughput don't get speedup.
- Pricing competition is harsh. Used RTX 3090 (24 GB) at $700–$1,000 has same VRAM tier, ~22% more bandwidth (936 vs 768 GB/s), and ~80% the compute at half the price. For pure AI use, 3090 wins on $/$ — A5000's value is the workstation procurement channel + ECC + Studio drivers, not raw $/throughput.
- Bandwidth ceiling vs 3090. 768 GB/s is meaningfully below the 3090's 936 GB/s. For memory-bound decode, 3090 is faster despite being a "consumer" card.
- Resale liquidity is workstation-channel slow. A5000 turns over more slowly than consumer 3090; resale pricing is irregular.
- End-of-feature-support risk. Ampere is the oldest tier NVIDIA actively prioritizes in 2026. Features land first on Ada / Blackwell.
Ideal model range
- Sweet spot: 70B Q4 single-card workstation with 16K context, 32B FP16 with 32K context, multi-model agentic stacks fitting 24 GB.
- Sweet spot: ISV-certified workstation deployments (CAD/CAM, simulation, professional creative) where Studio driver lineage + ISV cert matter alongside AI workloads.
- Sweet spot (NVLink pair): 70B FP16 across 2× A5000 NVLinked (48 GB combined) — workstation-form 48 GB CUDA at modest discount to single-card A6000.
- Sweet spot: Single-card workstation deployments where the OEM (Dell / HP / Lenovo) needs blower form factor + ECC + standard PCIe.
- Stretch: 70B Q5 with shorter context, 70B QLoRA fine-tuning with paged optimizer.
- Comfortable: Anything an RTX 3090 does, with workstation-form discipline.
Bad use cases
- Hobbyists fitting in 24 GB. Used RTX 3090 at $700–$1,000 wins by far for pure AI value.
- Production rack inference. L40S or A40 is the right datacenter SKU.
- 48 GB workstation tier. RTX A6000 (48 GB) is the right Ampere workstation 48 GB SKU at modest premium.
- Maximum tok/s. Bandwidth ceiling means 3090 / 4090 / 5090 win for everything that fits 24 GB.
- Anyone targeting 5+ year horizons. Ampere architecture sunset risk.
- Cap-ex retail. $2,500 retail in 2026 is hard to justify when used 3090 covers most workloads at $700.
Verdict
Buy this if you find used A5000 at $1,400–$1,800, you're spec'ing a Dell Precision / HP Z / Lenovo P-series workstation, you need 24 GB ECC + Studio drivers + ISV certification, and the workstation procurement channel + warranty + driver pedigree justifies the premium over consumer cards. RTX A5000 is the right pick for the "professional workstation procurement" channel where consumer 3090 doesn't fit IT/procurement requirements.
Skip this if your workstation can use a consumer card (used 3090 at $700 wins by far), you need 48 GB workstation tier (RTX A6000 is the right pick), you need current-gen (RTX 5000 Ada for Ada-gen, RTX PRO 6000 Blackwell for Blackwell), or you're production-deploying for 5+ years (Ampere sunset risk).
How it compares
- vs used RTX 3090 (24 GB) → Same VRAM tier, same architecture. 3090 has ~22% more bandwidth + better consumer software ergonomics at half the used price. A5000 wins on ECC + Studio drivers + workstation form. Pick 3090 for pure AI value; A5000 for workstation procurement requirements. See /compare/rtx-a5000-vs-rtx-3090.
- vs RTX A6000 (48 GB) → Same architecture, A6000 has 2× VRAM + 2× NVLink pairs + workstation pedigree at $3,500–$4,500 used. Pick A6000 for 48 GB workstation; A5000 for cost-floor 24 GB workstation.
- vs RTX 5000 Ada (32 GB) → 5000 Ada has 33% more VRAM + Ada-gen + FP8 + ~50% more compute at $4,000 retail. Pick 5000 Ada for current-gen workstation; A5000 used for value workstation.
- vs RTX 6000 Ada (48 GB) → 6000 Ada is the workstation tier above (Ada-gen + 48 GB + FP8). Different price tier ($6,799 retail).
- vs RTX 4080 (16 GB) → 4080 has Ada-gen + FP8 + similar bandwidth at $700–$900 used. A5000 wins on VRAM (24 vs 16 GB) + ECC + workstation pedigree. Pick by VRAM ceiling needs and workstation procurement preference.
Overview
24GB Ampere workstation card. Tighter power envelope than RTX 3090.
Some links above are affiliate links. We may earn a commission at no extra cost to you. How we make money.
Specs
| VRAM | 24 GB |
| Power draw (peak) | 230 W |
| Released | 2021 |
| MSRP | $2500 |
| Backends | CUDA Vulkan |
Models that fit
Open-weight models small enough to run on NVIDIA RTX A5000 with usable context.
Frequently asked
What models can NVIDIA RTX A5000 run?
Does NVIDIA RTX A5000 support CUDA?
Where next?
Reviewed by RunLocalAI Editorial. See our editorial policy for how we research and verify hardware specifications.