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On-demand · No contracts · Per-second billing
Instant access to NVIDIA RTX 4090, A100, H100, and more. No long-term contracts, no upfront costs. Pay per second and scale up or down as needed.
Go from zero to a running GPU server in under 5 minutes.
Create a free account and browse our GPU catalog. Choose from 8+ NVIDIA GPU models ranging from RTX 3080 ($0.19/hr) to H200 ($2.49/hr). No credit card required to get started.
Select your container image (or bring your own Docker image), specify the number of GPUs, and hit deploy. VectorLay handles provisioning, GPU passthrough, and networking automatically.
Within minutes you have a live endpoint with SSH access and full GPU passthrough. Auto-failover and load balancing are built in. Scale up by adding more GPUs, scale down by removing them. Pay only for what you use.
From budget-friendly RTX 3080s to cutting-edge H200s. All with full VFIO passthrough.
VectorLay offers the lowest GPU rental prices with the most inclusive pricing.
| Provider | RTX 4090 | A100 | H100 |
|---|---|---|---|
| VectorLay | $0.49 | $0.80 | $1.80 |
| RunPod | $0.74 | $1.64 | $3.49 |
| Lambda Labs | N/A | $1.10 | $2.49 |
| AWS | N/A | $3.40 | $4.76 |
| GCP | N/A | $2.48 | $4.15 |
Up to 76% less than hyperscalers — here's why the math works out.
We aggregate GPU capacity from providers worldwide instead of building our own data centers. This eliminates the massive capital expenditure that hyperscalers pass on to you as markups.
AWS, GCP, and Azure charge $0.08–$0.12 per GB for data transfer out. On large inference workloads, egress can add 20–40% to your bill. VectorLay charges $0 for egress, ever.
RTX 4090s deliver 82.6 TFLOPS of FP32 compute at $0.49/hr. An A10G on AWS costs $1.21/hr for less throughput. For inference workloads under 34B parameters, consumer GPUs win on price-performance.
Renting gives you flexibility, lower risk, and access to the latest hardware.
A single RTX 4090 costs $1,600+. An H100 costs $30,000+. Renting lets you access the same hardware with zero upfront cost and no depreciation risk.
Need 10 GPUs for a training run and 2 for inference? Scale your GPU fleet in minutes instead of waiting weeks for hardware procurement.
Hardware fails. Drivers need updates. Cooling systems break. When you rent GPUs, the provider handles all of this. You just run your workloads.
New GPU generations drop every 1–2 years. Renting means you can switch to the latest H200 or RTX 5090 without being stuck with last-gen hardware.
Not sure if an A100 or RTX 4090 is better for your workload? Rent both for an hour, benchmark, and choose the best fit. Total cost: under $2.
A single H100 draws 700W. Running 8 GPUs 24/7 costs $800+/month in electricity alone. Renting includes all power and cooling in the hourly price.
Sign up at vectorlay.com, choose your GPU (RTX 4090, A100, H100, etc.), select your container image or bring your own Docker image, and hit deploy. Your GPU server will be ready in minutes with a live endpoint, SSH access, and full GPU passthrough.
There is no minimum rental period on VectorLay. You can rent a GPU for as little as one second. Billing is per-second with no minimum commitment, no setup fees, and no cancellation fees. Spin up a GPU, run your workload, and shut it down when you're done.
Yes. You can rent multiple GPUs and VectorLay will automatically load balance your workloads across them. This is ideal for scaling inference throughput or running distributed training. Auto-failover ensures reliability even if individual GPU nodes go down.
You get full, dedicated GPU access via VFIO passthrough. The GPU is not shared or virtualized — your container gets bare-metal performance with direct access to all CUDA cores, VRAM, and tensor cores. You also get full root SSH access to your server.
For most use cases, yes. An RTX 4090 costs $1,600+ to buy, plus electricity, cooling, and maintenance. At $0.49/hr on VectorLay, you'd need to run it 24/7 for over 4 months before buying becomes cheaper — and that doesn't include power costs, maintenance, or the opportunity cost of capital. For variable or part-time workloads, renting is significantly cheaper.
VectorLay's cheapest GPU server starts at $0.19/hr for an RTX 3080 with 10GB VRAM. For 24GB VRAM (sufficient for most LLMs and image generation models), the RTX 3090 is $0.29/hr. These are significantly cheaper than AWS ($0.53/hr for a T4 with 16GB), RunPod ($0.44/hr for an RTX 3090), and GCP ($0.35/hr for a T4). All prices include storage and networking with no egress fees.
Yes. VectorLay offers reserved pricing with a 1-year commitment at 30% savings. For example, an RTX 4090 drops from $0.49/hr to $0.34/hr with reserved pricing. Contact us for custom volume pricing on larger deployments.
No credit card required. No contracts. No egress fees. Just fast, affordable GPU compute.