17 of the Best GPU Providers

In 2025, AI isn’t the future — it’s now. But here’s the truth: finding the right GPU to train your model or run a production-grade inference task still feels like booking a flight in the early 2000s. It’s confusing, fragmented, overpriced. This is where BlackSkye steps in — the “Skyscanner for GPUs,” curating the best compute from around the world.

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We went deep into the distributed clouds, the bare metal farms, the decentralized compute economies — and curated the 17 GPU providers you need to know.

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🌐 1. RunPod — The AI Dev's Playground

From one-click fine-tunes to enterprise-scale jobs, RunPod offers blazing-fast GPU servers with serverless options and seamless storage. Think AWS if AWS didn’t make you cry.

• GPUs: A100, 4090, T4
• Best for: Devs deploying LoRAs, training LLMs, or running inferences overnight without babysitting.

⚡ 2. Promptus — No-Code Meets GPU

Promptus blends AI content generation with a decentralized compute network. Build workflows visually, and deploy across idle consumer GPUs.

• GPUs: Community RTX fleet
• Best for: Designers and developers creating multimodal content (video, 3D, voice).

🔄 3. Valdi — The Peer-to-Peer Cloud

Plug in your own GPU. Rent others. Train smarter. Valdi’s hybrid model makes GPU access feel as frictionless as torrenting.

• GPUs: RTX 3090, A100
• Best for: AI tinkerers and research teams looking for scale with transparency.

🔍 4. Vast.ai — Marketplace Magic

Vast is like Airbnb for GPUs. Set your budget, check the specs, read reviews — and go. Massive savings, minimal compromise.

• GPUs: Anything from 1080 Ti to H100
• Best for: Budget-conscious researchers and indie hackers.

🎛️ 5. Shadeform — Unified GPU Orchestration

Shadeform aggregates GPU clouds like Kayak. Use one API to launch on 20 clouds. Benchmark-first compute for the ML elite.

• GPUs: Aggregated A100s, 4090s
• Best for: DevOps-heavy teams seeking latency guarantees.

🎨 6. Novita — LoRA’s Secret Weapon

Fine-tuning a model for pennies? Novita turns cutting-edge GPU hardware into a canvas for fast, cheap experimentation.

• GPUs: 4090, A100, RTX 6000
• Best for: Rapid iteration and cost-effective fine-tuning.

🧠 7. Nebius — From Cluster to Cloud

Born in Europe, optimized for AI. Nebius provides NVIDIA clusters scaled to thousands of GPUs with precision.

• GPUs: A100, H100
• Best for: Enterprises training massive models.

🛠️ 8. Cherry Servers — Bare Metal, Your Way

Skip virtualization. Cherry gives you full metal servers in Lithuania, with a pricing model that respects your wallet.

• GPUs: V100, RTX 3080
• Best for: Performance purists and low-latency applications.

🌍 9. Salad — Gamers to the Rescue

Salad turns idle gaming rigs into a decentralized GPU cloud. It’s wild — and it works.

• GPUs: RTX 20/30/40 series
• Best for: Cheap inference, test jobs, distributed workloads.

🧬 10. Lambda Labs — Hardcore AI Compute

This one’s for the deep learning heads. Lambda offers both cloud and on-prem setups with early access to bleeding-edge GPUs.

• GPUs: H100, A100
• Best for: Visionaries pushing LLMs to their limit.

☁️ 11. Paperspace (by DigitalOcean) — ML Made Simple

Paperspace combines clean UX with serious backend horsepower. Gradient makes it easy to train and deploy with minimal hassle.

• GPUs: H100, RTX 6000
• Best for: ML teams that want less overhead and more output.

⚙️ 12. CoreWeave — The AWS Killer

Over 250,000 GPUs. Built for AI at scale. Trusted by big names. CoreWeave is becoming the cloud everyone watches.

• GPUs: H100, A40, L40S
• Best for: LLM-as-a-Service and mega-scale deployments.

💸 13. TensorDock — Budget Without Sacrifice

Insane speeds. Insane prices. TensorDock lets you spin up H100s in 30 seconds for a fraction of GCP’s cost.

• GPUs: H100, 4090
• Best for: Cost-conscious builders scaling LLMs.

🌐 14. Spheron Network — Compute as a DApp

Decentralized and on-chain, Spheron is the DeFi of GPU compute. Tokenized, automated, and ready to roll.

• GPUs: A100, 3090
• Best for: Web3-native AI projects and decentralized infra fans.

♻️ 15. Genesis Cloud — Green AI at Scale

Genesis combines clean energy with raw power. Their German data centers are 100% sustainable, and their tech is top-shelf.

• GPUs: H100, B200, GB200
• Best for: European enterprises and eco-conscious AI startups.

🧩 16. Voltage Park — Billion-Dollar Infra, Open to All

They bought $500M+ worth of GPUs so you don’t have to. Voltage Park’s nonprofit mission is to make AI compute accessible.

• GPUs: NVIDIA HGX H100
• Best for: Research labs, universities, LLM startups.

🌊 17. SurferCloud — The APAC Dark Horse

Serving RTX 4090s at breakneck speeds across Asia. Cheap, efficient, and bursting with potential.

• GPUs: RTX 4090
• Best for: High-frequency traders, game renderers, deep learning.

Why It Matters for BlackSkye

BlackSkye’s mission is clear: make GPU compute make sense. By integrating these 20 providers, it becomes the ultimate search layer for AI developers — think Expedia for AI workloads, with live benchmarks, transparent pricing, and real community trust.

No more guessing. No more “job failed.” Just GPUs, running — fast, smart, and fair.
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Ready to Rebuild the GPU Economy?

Join the rebellion. Start comparing providers, flex your fine-tunes, and take back control of your compute.
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blackskye.io — Run Smarter, Not Harder.‍