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A40 · live marketplace — from $0.39 / hr

Rent an A40
by the minute.
Not the month.

Rent an NVIDIA A40 for 48 GB ECC in proper datacenter form factor. Passive-cooled, NVENC-equipped, ISV-certified — the rack-friendly workstation-class card built for 24/7 batch renders, 34B FP16 inference, Omniverse pipelines, and DreamBooth on SDXL with bit-flip-safe weights. Billed per-minute, paid in BTC, USDT/USDC or CLORE. Server-grade passive thermals for unattended overnight jobs that simply can't tolerate fan failure.

Per-minute billing SSH + Docker + Jupyter Spot & on-demand 26 regions
SPECIFICATION SHEET
A40 · PCIe 4.0
NV-RTX-A40-48G REV B · 04.2026
ArchitectureAmpere · GA102
Process8 nm Samsung
Memory48 GB GDDR6 · ECC
Bandwidth696 GB/s
CUDA cores10,752
Tensor cores · gen 3336
RT cores · gen 284
FP32 · TF32 (tensor)38.7 / 309.7 TFLOPS
NVLink (×2 cards)112 GB/s · 96 GB pool
TDP · form factor300 W · 2-slot FH/FL
Display out4× DisplayPort 1.4a
ISV certifications42 (CAD / DCC / med)
SPOT $0.49/hr
ON-DEMAND $0.79/hr
RESERVED · 30D $0.61/hr
ANNUAL $0.39/hr
$0.39/hr
Starting on-demand price
48GB
GDDR6 ECC VRAM per card
26
Regions with A40 hosts
<90s
Cold-start to ready
workloads

48 GB of pro VRAM,
without HBM pricing.

A40 is the workstation-grade 48 GB card — twice the memory of a 3090, all with ECC, all on certified drivers. Mid-tier in price, no-nonsense in production.

48 GB ECC in datacenter form factor

Passive cooling, server-rack chassis, no fan-failure surface area — the A40 is the A6000 spec built for 24/7 unattended batch jobs. Render farms, Omniverse pipelines, and SaaS inference tenants prefer this form factor when uptime matters more than NVLink topology.

Yi-34B QLoRA ~5.8k tok/s

VFX & rendering

48 GB is enough for production-scale Houdini scenes, Blender Cycles with full geometry, and 8K video pipelines. OptiX accelerated.

V-Ray 5 GPU ~1,750 vray

Multi-tenant serving

48 GB hosts 13B FP16 + 7B FP16 on the same card with batched serving. ECC catches the bit flips that crash long-running endpoints.

Llama-3 8B FP16 52 tok/s/user
why A40

48 GB ECC
at the right price.

When 24 GB is a constraint and you don't need HBM bandwidth, A40 is the answer. The cheapest path to a single-card 48 GB workstation on the marketplace.

A40 RTX A5000 RTX 6000 Ada A100 40GB
Architecture Ampere Ampere Ada Lovelace Ampere
CUDA cores 10,752 8,192 18,176 6,912
VRAM 48 GB GDDR6 ECC 24 GB GDDR6 ECC 48 GB GDDR6 ECC 40 GB HBM2
Memory bandwidth 696 GB/s 696 GB/s 960 GB/s 1,555 GB/s
FP16 / BF16 (dense) ~75 TFLOPS ~55 TFLOPS ~365 TFLOPS 312 TFLOPS
From / hr (on-demand) $0.39 $0.22 $0.55 $0.68

// prices are spot-market lows · refreshed every 60 s

pricing

Two ways to rent.
Pay only for the minutes you use.

Every server is priced by its host. These are the live floors across the marketplace — you'll see hundreds of variants once you're in.

Spot

$0.39 / hr
≈ 0.0000029 BTC · 213 CLORE
  • Lowest possible rate
  • Per-minute billing
  • Can be interrupted by on-demand renter
  • Best for batch training, rendering
Browse spot A40s
MOST RENTED

On-demand

$0.58 / hr
≈ 0.000005 BTC · 367 CLORE
  • Guaranteed availability
  • No preemption, ever
  • Per-minute billing
  • Best for inference, dev work, demos
Rent on-demand
Pay with
Bitcoin on-chain
CLORE native token
USDT / USDC ERC-20 · BEP-20
workflow

Four steps to a running A40.

No sales call. No quota request. No three-week procurement. The first four commands are all you need.

01 / FILTER

Pick your card

Filter the marketplace by A40, country, GPU count, reliability score, network speed.

02 / RENT

Click rent

Choose a Docker image — PyTorch, vLLM, ComfyUI, Blender — or paste your own.

$ clore rent --gpu "A40"
03 / CONNECT

SSH or Jupyter

You get a public endpoint, an SSH key, and Jupyter on port 8888 in under 90 s.

04 / STOP

Stop anytime

Per-minute billing rounds to the second. Stop the instance and the meter stops with it.

faq

Questions hosts and renters ask.

When should I pick A40 over A6000?

When ECC + datacenter form factor matter and your workload doesn’t need NVLink. A40 is server-rack-friendly (passive cooling, NVENC), A6000 is a workstation card. Same 48 GB ECC, similar bandwidth. A40 is more available in DC fleets, A6000 in studios.

Why pick an ECC pro card over a consumer 4090 or 5090?

ECC memory catches single-bit errors silently in flight - mandatory for production CAD pipelines, V-Ray and Octane farms, regulated medical or financial ML, and any research where bit-flip integrity affects results. Pro cards (A4000/A5000/A6000/RTX 6000 Ada/A40) also carry ISV certifications consumer cards do not. If your client SLA references ECC or ISV validation, the consumer 4090 disqualifies.

Are these cards ISV-certified for V-Ray, Octane, and SolidWorks?

The NVIDIA RTX A-series and RTX 6000 Ada carry full ISV certifications: V-Ray, Octane, SolidWorks, Rhino, DaVinci Resolve, ANSYS, COMSOL, and the Adobe Creative Cloud chain. Consumer Ada cards (4090/5090) are not on those lists. If your renderer's support matrix excludes GeForce, you need a pro card - which is exactly what CLORE.AI lists in this tier.

Can I run multi-GPU NVLink workloads on pro cards?

Yes - the A5000 and A6000 expose NVLink in pairs (no Switch fabric), giving 112 GB/s peer bandwidth and unified memory across two cards (48 GB on A5000 pair, 96 GB on A6000 pair). Filter by 'NVLink' in the marketplace to find listings. The RTX 6000 Ada and A40 do not have NVLink connectors but pair via PCIe with FSDP.

How do these compare to A100 and H100 for studios?

Pro cards (A6000 / RTX 6000 Ada / A40) give you 48 GB ECC at one-quarter to one-third the rental price of an A100 80GB and one-fifth of an H100. You give up HBM bandwidth and FP8 tensor cores, but for production rendering, virtual workstations, and 13B-34B inference under ECC the pro tier hits the price-performance sweet spot.

Are pro GPUs quieter than 4090s in shared studio environments?

The cards themselves run cooler and quieter at lower TDP - A4000 is single-slot 140W, A5000 is dual-slot 230W, A6000 is 300W with a blower-style cooler designed for rack airflow. CLORE.AI is a remote rental platform, so the noise question only applies to your own studio if you're hosting; pro cards are explicitly the quieter pick there.

workload spotlight

Real numbers on the A40.

48 GB ECC in datacenter form factor — the rack-friendly cousin of the A6000 for render farms and Omniverse.

Octane / V-Ray batch rendering
Octane 2024 + RTX path
~0.95× A6000 with passive DC cooling

Passive cooling and full server-rack form factor — ideal for 24/7 batch render fleets without active fan failure.

Read the guide →
34B FP16 inference
vLLM + Flash Attn 2
~880 tok/s aggregated

Lower bandwidth than A6000 (696 vs 768 GB/s) but otherwise identical compute envelope — cheaper at hyperscaler-style availability.

Read the guide →
DreamBooth on SDXL
Diffusers + 8-bit Adam + Flash Attn 2
~22 min for 2,000 steps, batch 2

ECC + 48 GB makes A40 the safe choice for client-deliverable subject DreamBooth runs.

Read the guide →
pro comparison

Pro-tier comparison.

Side-by-side specs across the pro tier. Click any row to see that GPU.

GPU
VRAM (ECC)
TDP (W)
NVLink
ISV cert.
V-Ray CUDA score
Spot $/hr
RTX A4000
16 GB GDDR6
140
yes
~1,180
$0.13
RTX A5000
24 GB GDDR6
230
112 GB/s
yes
~1,700
$0.22
RTX A6000 tier focus
48 GB GDDR6
300
112 GB/s
yes
~2,300
$0.42
RTX 6000 Ada
48 GB GDDR6
300
yes
~4,000
$0.55
A40 / this page
48 GB GDDR6
300
112 GB/s
yes
~2,150
$0.32
workload guides

Run these on your rented A40.

Step-by-step guides verified on CLORE.AI hardware. Pick a workload, copy the docker image, ship in minutes.

Other Workloads
Blender + Cycles GPU
Production rendering with Cycles on CUDA/OptiX.
Training
LLM fine-tuning
LoRA / QLoRA fine-tuning workflow.
Image Generation
ComfyUI on CLORE.AI
Node-based pipeline for SDXL, Flux, and SD3.
Video Generation
Stable Video Diffusion
Stability's image-to-video model.
Training
DreamBooth training
Fine-tune SDXL on your subject with DreamBooth.
Language Models
text-gen WebUI
The oobabooga WebUI for chat, RAG, and agents.
Advanced
Multi-GPU setup
Configure NVLink, NCCL, and distributed training.
See all guides →
other gpus

Compare with similar cards.

RTX A6000
48 GB · from $0.42/hr
Rent →
RTX 6000 Ada
48 GB · from $0.55/hr
Rent →
A100 40GB
40 GB · from $0.78/hr
Rent →

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