Pro GPUNVIDIA

NVIDIA RTX A5000 24GB

Name: NVIDIA RTX A5000 24GB
Brand: NVIDIA
SKU: rtx-a5000
Price: 2200 USD
Availability: InStock
Rating: 8.0 (3 reviews)

Curated Aggregate·2024-08-293 workloads · 3 records

MyAI Rating8.0tok/s · Phi-3 Mini

VRAM

24 GB

TDP

230 W

MSRP

$2.2k

Perf/W

0.25 tok/s/W

Cost/1K tok

$0.40/M

Tested

2024-08-29

Quick answer

How fast is NVIDIA RTX A5000 24GB for local AI workloads?

NVIDIA RTX A5000 24GB hits 122.0 tok/s on Phi-3 Mini, its strongest benchmarked workload (batch 1, 4096-token context, 24GB VRAM, 230W TDP). It has 3 records across 3 workloads in our database, with a MyAI Rating of 8.0/10. Llama 3 70B Q4 needs ~40GB VRAM, so check the VRAM column before assuming feasibility.

Overview

Pro Multi-GPU

NVIDIA RTX A5000 24GB — Ampere professional GPU. 24GB GDDR6 ECC at 768 GB/s, 230W TDP. Blower-style cooler for multi-GPU workstation configurations.

AI Usefulness

24GB VRAM with ECC in a compact form factor. Runs 32B Q4 full-GPU at ~40-50 tok/s. Blower design enables 2-4 card workstation configurations without thermal issues. Best for: multi-GPU workstation builds, professional environments requiring ECC, and compact AI workstations.

Verdict

NVIDIA RTX A5000 24GB with 24GB VRAM at 230W TDP, scored across 3 workloads with 3 benchmark records.

Best workload

Phi-3 Mini

122 tok/s

Quantization

Q4_K_M

4K context · batch 1

LLM Inference Performance

Benchmarks (3 workloads)

Workload	Score	Quant	Context	σ	Status	Tested
Llama 3 8B Q4 llm	58.0tok/s	Q4_K_M	4K	,	Curated Aggregate	2024-08-29
Mistral 7B llm	64.0tok/s	Q4_K_M	4K	,	Curated Aggregate	2024-04-26
Phi-3 Mini llm	122.0tok/s	Q4_K_M	4K	,	Curated Aggregate	2024-06-13

MyAI Score

Enthusiast

8.0/10

NVIDIA RTX A5000 24GB clears a 8.0/10 based on workload-normalized throughput, memory headroom, efficiency, value, trust, and coverage.

Throughput

280

Capability

143

Efficiency

Value

Trust

Coverage

Composite benchmark548 / 1000

Workload Fit

What models fit this 24GB card at different quantization levels.

FP16

7-8B

Excellent

13-14B

Excellent

Tight

32B

Excellent

Won't fit

70B

Won't fit

Top Benchmarks

Phi-3 Mini122 tok/s

Mistral 7B64 tok/s

Llama 3 8B Q458 tok/s

Source

Phi-3 Mini A5000.

View source How we benchmark →

Public Trust Layer

Trust score

6/10

MyAI rating

8.0

Runs

Freshness

Stale

Source-linked row with explicit verification status.

Tested on 2024-06-13; 805 days old.

Open primary source

Best place to start

Where to buy

Search first

Retailer we'd check first

Amazon search

Amazon is usually the quickest place to sanity-check live pricing on workstation-class gear before you compare specialty retailers.

Search Amazon listings

+Cross-check the current ask against $2.2k and any reputable open-box or used options.
+Verify seller reputation, warranty terms, and the exact board configuration before you buy.
+If you plan long 24/7 inference runs, warranty and thermals matter more than a tiny discount.

This is a strong buy when the listing stays close to reference pricing and matches the workload you actually run.

Affiliate note: we do not have a device-level ASIN yet, so this opens tagged Amazon search results for the exact product name.