Real-Time GPU Cloud & Token Pricing Matrix
Independent cost and telemetry benchmarks for AI developers. Compare verified on-demand and spot rates for RTX 4090, A100, and H100 across RunPod, Vast.ai, Lambda Labs, and 20 providers. Audit stopped storage fees ($0.10/GB/mo), NVLink topology, and HuggingFace download speeds with zero vendor bias.
Live GPU Cloud Rates
Verified on-demand and spot rental rates for AI training, fine-tuning, and ComfyUI generation across 20 compute providers.
NVIDIA GeForce RTX 4090
Instant ReadyNVIDIA GeForce RTX 4090
Instant Ready2x NVIDIA GeForce RTX 4090
Instant ReadyNVIDIA GeForce RTX 4090
Instant Ready
NVIDIA GeForce RTX 4090
Instant ReadyNVIDIA GeForce RTX 4090
Instant ReadyNVIDIA RTX A6000 48GB
Instant Ready
NVIDIA GeForce RTX 4090
Instant ReadyNVIDIA RTX A6000 48GB
Instant Ready2x NVIDIA GeForce RTX 4090
Instant ReadyNVIDIA L40S 48GB
Instant Ready2x NVIDIA GeForce RTX 4090
Instant Ready
NVIDIA L40S 48GB
Instant Ready
NVIDIA L40S 48GB
Instant Ready2x NVIDIA GeForce RTX 4090
Instant Ready
NVIDIA L40S 48GB
Instant ReadyNVIDIA L40S 48GB
Instant Ready2x NVIDIA GeForce RTX 4090
Instant ReadyBrowse all 69 cloud GPU configurations across 20 providers with NVLink topology benchmarks, stopped storage pricing, and HuggingFace download speeds.
Top Audited Cloud GPU Providers
Independent telemetry benchmarks, stopped storage pricing, and verified features across audited providers.
The Cloud Built for AI & Machine Learning Developers
The Lowest Cost GPU Cloud & Compute Marketplace
GPU Cloud Designed specifically for Deep Learning
Customizable, Scalable GPU Cloud on Demand
Hyperscale AI Cloud Infrastructure with 3.2T InfiniBand
Pay Only for What You Use with Ultra-Low Token Costs
Serverless LLM Token Pricing Leaderboard
Pay-as-you-go per million tokens with OpenAI-compatible endpoints across verified providers.
| Model Name | Provider | TTFT (Latency) | Context | Input ($/1M or Unit) | Output ($/1M) | Speed (TPS) | Action |
|---|---|---|---|---|---|---|---|
| FLUX.1-schnell-BatchHOT | SaladCloud | 3000ms | — | $0.002/img | — | Stateless API | Use API |
| Whisper-Large-v3-BatchHOT | SaladCloud | 2500ms | — | $0.0025/min | — | Stateless API | Use API |
| FLUX.1-schnellHOT | Replicate | 800ms | — | $0.003/img | — | Stateless API | Use API |
| Whisper-Large-v3HOT | Modal Labs | 200ms | — | $0.0030/min | — | Stateless API | Use API |
| Whisper-Large-v3HOT | Replicate | 300ms | — | $0.0050/min | — | Stateless API | Use API |
| SDXL-1.0HOT | Replicate | 900ms | — | $0.007/img | — | Stateless API | Use API |
| ComfyUI-FLUX.1-devHOT | Modal Labs | 1500ms | — | $0.020/img | — | Stateless API | Use API |
| FLUX.1-devHOT | DeepInfra | 2500ms | 1K | $0.025/img | — | Stateless API | Use API |
| FLUX.1-devHOT | Fireworks AI | 1200ms | — | $0.025/img | — | Stateless API | Use API |
| FLUX.1-devHOT | Replicate | 1800ms | — | $0.025/img | — | Stateless API | Use API |
Endpoints with TTFT < 250ms and TPS > 150 (such as Cerebras Llama-3.1-8B at 2,150 TPS or Groq at 560 TPS) eliminate awkward conversational dead air, enabling fluid real-time voice interactions.
AI Engineering & Cost Estimation Tools
Purpose-built utilities to estimate VRAM requirements, pick the right instance, and test network latency.
VRAM & Hardware Calculator
Accurately compute memory for DeepSeek-R1, Llama 3, and FLUX across FP16, INT8, and 4-bit quantizations with KV cache overhead.
30-Second GPU Matcher
Answer 3 quick questions about your workflow (ComfyUI, fine-tuning, batch inference) and budget to get instant matched cloud pods.
Datacenter Latency Test
Benchmark real-time ping and HuggingFace weights download latency to 40+ US, Europe, and Asia GPU cloud regions before deploying.
Frequently Asked Questions for GPU Renters
How does RunPod pricing compare to Vast.ai?
Vast.ai is typically 40% to 55% cheaper on spot rates (RTX 4090 from $0.20/hr spot vs RunPod $0.44/hr on-demand). However, RunPod provides enterprise Tier 3 datacenters, guaranteed uptime SLAs, standardized 10 Gbps HuggingFace downloads, and official 1-click Docker templates. For production services, RunPod Secure Cloud is recommended; for budget batch rendering or non-critical fine-tuning, Vast.ai spot instances offer unmatched value.
What is the best GPU cloud for running ComfyUI and vLLM?
For ComfyUI (FLUX.1-dev, SDXL, Wan2.1 video), RunPod and Vast.ai are the clear leaders. RunPod features 1-click ComfyUI Docker pods with automatic HTTP port mapping and persistent network volumes ($0.44/hr for RTX 4090). Vast.ai delivers the cheapest RTX 4090 spot pricing ($0.20/hr) for heavy batch runs. For high-throughput vLLM serving, 80GB A100/H100 instances on RunPod or TensorDock with verified NVLink (900 GB/s) provide the lowest latency.
What are the best Lambda Labs alternatives when GPUs are out of capacity?
Lambda Labs frequently runs out of on-demand GPU capacity in North America and Europe. The top verified alternatives with instant availability are RunPod (Secure Cloud and Community pool), Vast.ai (global decentralized compute), and TensorDock (low-cost Tier 3 colocation). All three support root SSH, Docker containers, and HuggingFace weights cache mounts with zero waitlist.
Why is Vast.ai significantly cheaper than RunPod or Lambda Labs?
Vast.ai operates primarily as a peer-to-peer community marketplace where independent data centers and individual miners list idle hardware. In contrast, RunPod Secure Cloud and Lambda Labs manage Tier 3/4 enterprise data centers with strict SLA guarantees, ISO/SOC2 certifications, and redundant fiber uplinks. For non-sensitive batch rendering or fine-tuning, community spot instances offer dramatic savings; for proprietary enterprise training, dedicated Tier 3 clouds are recommended.
Does a 2x or 4x RTX 4090 setup support NVLink for 70B model fine-tuning?
No. NVIDIA deliberately removed NVLink bridge pins from the RTX 4090. When running distributed training or tensor parallelism across multiple 4090s, gradients and all-reduce operations must travel across PCIe 4.0 slots, which throttles inter-GPU communication bandwidth to ~31.5 GB/s (compared to 900 GB/s on H100 SXM5). For large distributed training, SXM-based A100 or H100 clusters are dramatically faster.
How much does storage cost when my GPU cloud instance is paused or stopped?
Most cloud providers (including RunPod, Lambda, and Vast.ai) charge standard network storage fees while instances are stopped, typically around $0.10 per GB per month ($0.00014/GB/hr). Storing a 200GB HuggingFace weights cache on a stopped instance costs approximately $20.00/month. We recommend terminating idle volumes after pushing model checkpoints to HuggingFace or S3.
When should I use Serverless Token APIs instead of renting dedicated cloud GPUs?
If your application processes fewer than 50 million tokens per day or has intermittent traffic with long quiet periods, serverless inference (Together AI, Groq, DeepInfra) is 85% to 95% cheaper than paying $1.50–$3.00/hr for an idle dedicated A100. Dedicated GPU instances become cost-effective only when GPU compute utilization consistently exceeds 60-70% around the clock.
Never Overpay for Cloud Compute Again
Get a curated Monday briefing with newly discovered spot discounts, flash pricing on H100/A100 clusters, and benchmarks on newly launched serverless token providers.