AI · alternatives · 2026
24 alternatives to GPUs - A100, V100, H100, L40S
Accelerate Your Workloads with GPUs
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.
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Unleash Extreme AI Performance with NVIDIA H100 GPU Server
2025 · cyfuture.ai · its alternatives →
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The world’s most powerful chip’ for AI
2024 · nvidia.com · its alternatives →
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- 4TC
Hello HN! I’m Jonathan from TensorDock. After 7 months in beta, we’re finally launching Core Cloud, our platform to deploy GPU virtual machines in as little as 45 seconds! https://www.tensordock.com/product-core Why? Training machine learning workloads at large clouds can be extremely expensive. This left us wondering, “how did cloud ever become more expensive than on-prem?” I’ve seen too many ML startups buy their own hardware. Cheaper dedicated servers with NVIDIA GPUs are not too hard to find, but they lack the functionality and scalability of the big clouds. We thought to…
2022 · tensordock.com · its alternatives →
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We developed a tool to trick your computer into thinking it’s attached to a GPU which actually sits across a network. This allows you to switch the number or type of GPUs you’re using with a single command.
2024 · thundercompute.com · its alternatives →
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Cerebrium▲300If you haven’t noticed, GPUs are scarce right now. The global boom in inference has demand growing faster than supply can keep up, and at Cerebrium ...
2024 · cerebrium.ai · its alternatives →
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Self-host AI/ML with the world's cheapest GPU cloud
2025 · thundercompute.com · its alternatives →
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- 12IM
2023 · vram.asmirnov.xyz · its alternatives →
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GPU Rates▲12I built a site to compare on-demand GPU prices across different providers and regions. Hopefully, it'll be helpful for ML developers and researchers.
2025 · gpurates.ai · its alternatives →
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RunInfra▲156Describe the AI model you need and get an optimized AI
Jul 2026 · runinfra.ai · its alternatives →
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Janus is a API router for AI models written in Go and has a Vulkan Model runner - Vibra-Ingenn/Janus
22d ago · github.com · its alternatives →
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Supercharge gaming with DLSS 4, NVIDIA Studio, and AI
2025 · nvidia.com · its alternatives →
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Accelerate AI & ML with High-Performance GPU Servers
Dec 2025 · vpsmalaysia.com.my · its alternatives →
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Affordable H100, H200, GB300, and B200 GPU compute for training, inference, and everything in between.
Sep 2026 · compute.cheap · its alternatives →
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Hi HN, we are Ed, Zach, and Ronald, creators of Shadeform (https://www.shadeform.ai/), a GPU marketplace to see live availability and prices across the GPU market, as well as to deploy and reserve on-demand instances. We have aggregated 8+ GPU providers into a single platform and API, so you can easily provision instances like A100s and H100s where they are available. From our experience working at AWS and Azure, we believe that cloud could evolve from all-encompassing hyperscalers (AWS, Azure, GCP) to specialized clouds for high-performance use cases. After the launch of…
2023 · shadeform.ai · its alternatives →
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Zibra AI▲73AI-Native Data Infrastructure for Spatial and Physical AI
Apr 2026 · zibra.ai · its alternatives →
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Simple scheduler for running jobs on GPUs. Contribute to ExpectationMax/simple_gpu_scheduler development by creating an account on GitHub.
2019 · github.com · its alternatives →
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Hi HN, We’ve launched a GPU cloud platform offering on-demand access to high-end GPUs — with pricing starting at $0.79/hr, no queue, and no preemption. What we offer: - On-demand H100, H200, and B200 instances - H200 pricing from $0.79/hr - Multi-region support: US, Singapore, and Europe - No queuing, no bidding, and no interruptions - Used by AI startups, researchers, and open-source developers Try it: https://hpc-ai.com/?utm_source=hackernews&utm_medium=post&ut... We built this after facing our own frustrations with high prices and long wait times on other…
2025 · hpc-ai.com · its alternatives →
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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →