Cloud GPU
Vast.ai
GPU Per Hour
TensorDock GPU Cloud
Bitcanopy
LEAP Legal Software
BTHAWK
CloudocKit
ComputeUnion
LLM Pricing
GPU Per Hour
LLM Stats
Vast.ai
LLM API Pricing Calculator
BareMetrics
TensorDock GPU Cloud
ComputeUnion aggregates real-time pricing data for AI APIs and GPU cloud rentals across 70+ platforms, so developers stop wasting time on manual price checks. ▎ ▎ Compare 3,000+ models — GPT-5, Claude 4, Gemini 2.5, DeepSeek, and more — with prices updated every 6 hours via automated scrapers. Covers LLM, image, video, and audio APIs. Also tracks GPU rental rates (H100, A100, RTX 4090) across 20+ cloud providers. ▎ ▎ Key features: ▎ - Automated price updates every 6 hours ▎ - 150+ model-vs-model comparison pages ▎ - Cheapest provider rankings by category ▎ - Price history charts (30/90-day trends) ▎ - CN relay station comparison for developers in China
ComputeUnionComputeUnion's answer:
ComputeUnion was built out of personal frustration. Manually checking prices across a dozen AI platforms before every project was tedious and error-prone. The solution was to automate the entire process — building scrapers for every major provider and presenting the data in one unified interface. What started as a personal tool grew into a platform covering 70+ providers and 3,000+ models.
ComputeUnion's answer:
ComputeUnion is one of the few platforms that tracks both AI API pricing and GPU cloud rental rates in one place, with data updated hourly via automated scrapers — not manually maintained spreadsheets. It also covers CN relay stations for developers in China, a niche completely ignored by Western competitors. With 150+ model-vs-model comparison pages and price history charts, it goes beyond simple price lists into actionable decision tools.
ComputeUnion's answer:
Most price comparison sites rely on manually updated data that goes stale within days. ComputeUnion runs automated scrapers across 70+ platforms every hour, so the prices you see are the prices you'll actually pay. It also covers more provider types in one place — official APIs, third-party relays, and GPU rentals — eliminating the need to check multiple sources before making a decision.
ComputeUnion's answer:
AI developers and ML engineers who use LLM APIs in production and want to minimize costs. Also serves researchers comparing GPU cloud providers for training workloads, and developers in China looking for cost-effective API relay stations.
ComputeUnion's answer:
Next.js 14, TypeScript, Tailwind CSS, PostgreSQL, Python, Vercel
ComputeUnion's answer:
▎ - Individual developers optimizing LLM API costs for side projects and startups ▎ - AI engineers at early-stage companies selecting inference providers ▎ - Researchers comparing GPU cloud costs for model training and fine-tuning
Based on our record, Cloud GPU seems to be more popular. It has been mentiond 7 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Per https://cloud.google.com/gpu, they use NVIDIA L4, P100, P4, T4, V100, and A100 GPUs. These are physical units loaded into servers and then shared to the OS by the hypervisor. Source: over 3 years ago
You probably can't do it through onedrive, though I'm not sure if MS has something like that that carries over into other services. The thing you need is GPU power, not storage. Most people use something like google cloud https://cloud.google.com/gpu but there are a lot of other options. Source: over 3 years ago
Uh, you ask these questions before you buy the hardware. There are various tools you could have used for free, or for cheap instead of spending $2500 on equipment, and not even seemingly the right equipment. You would know more than me, but you mentioned AI/Machine learning, but I do not see any graphics cards mentioned in your build, and a lot of that work is enhanced with graphic cards. (3 of these or just this... Source: over 3 years ago
Why are you not running in google colab? Https://cloud.google.com/gpu. Source: almost 4 years ago
Unless you are spinning up GPUs in the cloud with stolen credentials/credit cards. https://cloud.google.com/gpu. Source: almost 4 years ago
Vast.ai - GPU Sharing Economy: One simple interface to find the best cloud GPU rentals.
LLM Pricing - LLMs Price comparison tool developed and updated by LLM.
GPU Per Hour - Real-time cloud GPU price comparison: Find the cheapest H100, A100, RTX 4090 & more across 30+ providers. Deploy instantly and save big on hourly rentals.
TensorDock GPU Cloud - Easy-to-use, secure, and affordable GPU cloud ⌛ Start training ML models in 2 minutes with ready-made templates 👩💻 REST API and CLI 🔒 Servers at secure data centers ✏️ Edit servers to right-size workloads 💸 Save up to 70% ✅ CPU-only servers availab…
LLM Stats - Compare API models by benchmarks, cost & capabilities
Bitcanopy - Bitcanopy is an automated AWS security platform that allows users to identify and stop s3 public read and write control along with objects encryption.