TensorDock vs Vast.ai — Comparison

TensorDock

Save over 80% on GPUs. Train your machine learning models, render your animations, or cloud game through our infrastructure. Secure and reliable. Ente

Enterprise-grade servers hosted in tier 3/4 data centers For builders needing training and inference with no compromises. The best balance between price and performance for AI inference. Truly unbeatable value for gaming, image processing, and rendering. The hyperscaler experience without the hyperscaler price. Servers for any niche, for up to 80% less than other clouds. All available on demand. Our globally distributed GPU fleet. 99.99% uptime standard and no ingress/egress fees. Multithreaded stack optimized end-to-end for uncompromising VM deployment speed. The latest Xeon and EPYC CPUs, available from $0.012/hr in secure, multihomed data centers. Let's chat! If you don't see what you need, we can work it out. We'll get back to you within 24 hours. We operate on a pay as you go model. Users deposit funds, and we deduct balance continuously after a server is deployed. When your balance reaches $0, your servers are automatically deleted. If you need to rent servers long-term, reach out to discuss our reserved pricing. airgpu relies on TensorDock's API to deploy Windows virtual machines for cloud gamers. TensorDock's abundant GPU stock allows airgpu to scale during weekend peaks without worrying about compute availability. ELBO uses TensorDock's reliable and secure GPU cloud to generate art. TensorDock's highly cost-effective servers run their workloads faster for less than the big clouds. Professor Skyler Liang from Florida State University researches GAN networks with TensorDock GPUs. TensorDock's superior economics allow researchers to do more with their limited university budgets. Creavite combines TensorDock's Windows VMs with Adobe software to render logo animations. TensorDock's CPU-only instances allow Creavite to fully integrate their workflows and stay on one cloud. providing our best prices but also about addressing our customers' need for speed. At TensorDock, we're always ready to scale alongside our customers. We connect customers to the best ava

Vast.ai

Real-Time GPU Pricing

Vast.ai is a GPU compute marketplace founded on one idea: whoever controls compute controls AI. We exist to make sure that power stays distributed. Christian Horne — a fellow thinker and builder who also published on LessWrong — shared Jake's view that the compute scaling thesis had profound implications, not just for AI development, but for who would control it. Both saw the same thing: if whoever controlled the most compute controlled the most powerful AI, then the future of artificial general intelligence would be determined by who had the deepest pockets, not who had the best ideas. On June 28, 2016, they incorporated Vast.ai. The founding thesis fit on a napkin: the world was full of underutilized GPU hardware — in gaming rigs, mining farms, research labs, and small data centers — and the people who needed that compute most couldn't afford the hyperscaler rates. But the motivation was never purely commercial. A world where compute flows freely to thousands of independent researchers is a fundamentally different world than one where it is locked behind the pricing walls of a few incumbents. “A world where compute flows freely to thousands of independent researchers is a fundamentally different world than one where it is locked behind the pricing walls of AWS, GCP, and Azure.” What Jake predicted. What the team built. How the field caught up. Jake Cannell publishes a series of essays on LessWrong arguing that intelligence is fundamentally a function of compute — not clever algorithms or hand-engineered modules. Christian Horne (lahwran), a fellow LessWrong contributor, shares the same conviction. The two become collaborators. AlexNet breaks ImageNet benchmarks by scaling a known neural network architecture on GPUs — exactly as the scaling hypothesis predicted. The deep learning revolution begins. Jake publishes his landmark essay arguing that the human brain is a single, general-purpose learning algorithm — not a zoo of specialized circuits. He predicts AlphaGo two years before it happens and forecasts human-level vision (~2024±3) and language via scaled deep learning. Jake Cannell and Christian Horne incorporate Vast.ai as a Delaware C Corporation. The founding thesis: the world is full of underutilized GPU hardware, and the people who need that compute most can’t afford hyperscaler rates. The market needs a two-sided platform. For two years, Jake and Christian build the marketplace platform end-to-end: host onboarding, search interface, pricing engine, Docker-based instance management — engineered to work across heterogeneous hardware and wildly different network conditions. Vast.ai launches — not with a press release, but the way honest products launch: to friends, family, and a post on Hacker News. GPU compute 3–5x cheaper than AWS, available in seconds, no enterprise contract required. Early independent hosts join the platform. The marketplace concept is validated — developers get cheaper GPUs, hosts monetize idle har

TensorDock

Vast.ai

TensorDock

Vast.ai

TensorDock

Vast.ai