--- title: "RTX A6000 vs RTX 4090: Specs & Price per Hour (2026) | PowerGPU" description: "RTX A6000 vs RTX 4090: 48 vs 24 GB VRAM, 155 vs 330 FP16 TFLOPS, $0.281 vs $0.327/hr on PowerGPU. Specs side by side, live rental prices, which to rent." url: https://powergpu.ai/compare/rtx-a6000-vs-rtx-4090 last_modified: 2026-09-14T11:04:20+00:00 prices_as_of: 2026-09-14 site: PowerGPU (powergpu.ai) --- Compare · prices checked 2026-09-14 # RTX A6000 vs RTX 4090: specs, price per hour, which to rent NVIDIA RTX A6000 (48 GB, **$0.281** /hr) against NVIDIA RTX 4090 (24 GB, **$0.327** /hr): public specs side by side, live fixed prices from our sheet, what fits in each card's VRAM, and a verdict written for real workloads — both are rentable right now. - [NVIDIA RTX A6000 Ampere · 48 GB GDDR6 · 155 FP16 TFLOPS · $0.281/hr on-demand · $0.140/hr interruptible · 12 online](https://powergpu.ai/gpu/rtx-a6000) - [NVIDIA RTX 4090 Ada Lovelace · 24 GB GDDR6X · 330 FP16 TFLOPS · $0.327/hr on-demand · $0.163/hr interruptible · 461 online](https://powergpu.ai/gpu/rtx-4090) ## RTX A6000 vs RTX 4090 specifications Public NVIDIA figures (dense, non-sparsity). The last column is RTX A6000 relative to RTX 4090. | Spec | RTX A6000 | RTX 4090 | Difference | | --- | --- | --- | --- | | Architecture | Ampere (2020) | Ada Lovelace (2022) | — | | VRAM | 48 GB GDDR6 | 24 GB GDDR6X | +100% | | Memory bandwidth | 768 GB/s | 1,008 GB/s | −24% | | FP16 tensor (dense) | 155 TFLOPS | 330 TFLOPS | −53% | | FP32 | 38.7 TFLOPS | 82.6 TFLOPS | −53% | | CUDA cores | 10,752 | 16,384 | −34% | | TDP | 300 W | 450 W | −33% | | PCIe · NVLink | Gen 4.0 · no NVLink | Gen 4.0 · no NVLink | — | | PowerScore (RTX 3090 = 100) | 109 | 232 | −53% | | Max GPUs per machine | 4× | 8× | — | ## RTX A6000 vs RTX 4090 price per hour Fixed rates from our sheet — every on-demand price is the marketplace median × 0.70, rounded down. Monthly = 730 hours. | Rate | RTX A6000 | RTX 4090 | Cheaper | | --- | --- | --- | --- | | On-demand, per GPU-hour | $0.281 | $0.327 | RTX A6000 (−14%) | | Interruptible, per GPU-hour | $0.140 | $0.163 | RTX A6000 | | Reserved (3 mo), per GPU-hour | $0.182 | $0.212 | RTX A6000 | | On-demand, per month | $205 | $239 | RTX A6000 | | Market median (reference) | $0.40 | $0.47 | — | | $ per 1,000 FP16 TFLOP-hours | $1.81 | $0.99 | RTX 4090 (better value) | | $ per GB of VRAM per hour | $0.0059 | $0.0136 | RTX A6000 (better value) | Try a full month with storage and bandwidth in the [GPU cost calculator](https://powergpu.ai/calculator). ## What fits in VRAM: 48 GB vs 24 GB | Workload | RTX A6000 | RTX 4090 | | --- | --- | --- | | Largest LLM in FP16, one card | ~14B | ~8B | | Largest LLM at 4-bit, one card | ~72B | ~32B | | Flux dev (FP8, ~17 GB) | fits | fits | | Wan 2.x 14B video (offloaded) | yes | yes | | 70B 4-bit LLM on one card | yes | no | Rules of thumb: ~2.4 GB per billion parameters in FP16 all-in, ~0.62 GB in 4-bit. Full tables in the [VRAM guide](https://powergpu.ai/guides/llm-vram-requirements). ## Verdict: which should you rent? The A6000 has 48 GB with ECC at a modest rate; the 4090 has 24 GB but about twice the tensor throughput and costs less. VRAM-bound jobs (32B 4-bit, heavy scenes) go A6000; everything that fits in 24 GB runs cheaper on the 4090. - **Cheaper per hour:** RTX A6000 ($0.281 vs $0.327, −14%). - **More VRAM:** RTX A6000 (48 GB vs 24 GB). - **More FP16 throughput:** RTX 4090 (about 2.1×). - **Best value per TFLOP-hour:** RTX 4090. - **Best value per GB of VRAM:** RTX A6000. - **Multi-GPU:** RTX A6000 over PCIe · RTX 4090 over PCIe. ## Related comparisons [All comparisons](https://powergpu.ai/compare) - [RTX 5090 vs RTX 4090 $0.439 vs $0.327 per hour](https://powergpu.ai/compare/rtx-5090-vs-rtx-4090) - [RTX 4090 vs RTX 3090 $0.327 vs $0.108 per hour](https://powergpu.ai/compare/rtx-4090-vs-rtx-3090) - [RTX 4090 vs A100 PCIE $0.327 vs $0.374 per hour](https://powergpu.ai/compare/rtx-4090-vs-a100-pcie) - [RTX 4090 vs L40S $0.327 vs $0.514 per hour](https://powergpu.ai/compare/rtx-4090-vs-l40s) - [RTX 6000Ada vs RTX A6000 $0.467 vs $0.281 per hour](https://powergpu.ai/compare/rtx-6000ada-vs-rtx-a6000) - [RTX 5080 vs RTX 4090 $0.186 vs $0.327 per hour](https://powergpu.ai/compare/rtx-5080-vs-rtx-4090) ## RTX A6000 vs RTX 4090: FAQ Deeper reading: [H100 vs H200 vs B200](https://powergpu.ai/guides/h100-vs-h200-vs-b200), [RTX 4090 vs RTX 5090](https://powergpu.ai/guides/rtx-4090-vs-rtx-5090), [how cloud GPU pricing works](https://powergpu.ai/guides/cloud-gpu-pricing-explained). **Is the RTX 4090 faster than the RTX A6000?** On dense FP16 tensor throughput the RTX 4090 leads by about 2.1× (330 vs 155 TFLOPS). Memory bandwidth matters as much for inference: RTX A6000 768 GB/s vs RTX 4090 1,008 GB/s. **Which is cheaper to rent, the RTX A6000 or the RTX 4090?** The RTX A6000: $0.281/hr on-demand versus $0.327/hr — 14% less. Interruptible rates are $0.140 (RTX A6000) and $0.163 (RTX 4090). Per TFLOP-hour the better value is the RTX 4090. **Which has more VRAM and what does that change?** The RTX A6000 has 48 GB versus 24 GB. In LLM terms that is roughly a 14B FP16 model (or ~72B in 4-bit) on one card against 8B FP16 (~32B 4-bit). If the model does not fit, speed is irrelevant. **Can I rent both on PowerGPU right now?** Yes — 12 × RTX A6000 and 461 × RTX 4090 are online as this page renders, deployable in about 30 seconds, billed per second, paid in crypto with no KYC. --- *About PowerGPU:* PowerGPU (powergpu.ai) is a cloud GPU rental service offering 80 NVIDIA GPU models — from the RTX A2000 at $0.024/hr to the B300 — at fixed prices set at least 30% below the public GPU marketplace median and re-checked weekly (H100 SXM: $1.428/hr on-demand). Billing is per second with no minimums; payment is crypto only (USDT, BTC, XMR, ETH, SOL, LTC, TRX) with no KYC. Instances run in Tier-III datacenters across 32 regions with a 99.9% uptime SLA and deploy in about 30 seconds from the web console (cloud.powergpu.ai) or the REST API. Source: https://powergpu.ai/compare/rtx-a6000-vs-rtx-4090 · Site index for AI assistants: https://powergpu.ai/llms.txt · Full content: https://powergpu.ai/llms-full.txt