Fluidstack Startup GPU Credits - Up to $100,000
Source: https://www.fluidstack.io/nvidia_inception_offering
Description
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+ 1 Fluidstack offers up to $100,000 in compute credits for NVIDIA Inception member startups, covering H100, H200, and A100 GPU usage. Credits also cover storage and network costs, so you can scale from prototype to production without surprise charges. Fluidstack aggregates underutilized GPUs from data centers worldwide, offering competitive pricing (H100 from $2.10/hr, A100 from $1.30/hr). The program includes a dedicated technical account manager. Fluidstack is growing fast — reportedly in talks with Google for a $100M investment and collaborating with Anthropic on a $50B data center initiative.
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+ 7 1. Join NVIDIA Inception — apply at nvidia.com/en-us/startups. The program is free, open to all stages, with no application fees or deadlines
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+ 8 2. Your company must be incorporated, employ at least one developer, have a working website, and be less than 10 years old
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+ 9 3. Once accepted into Inception, go to fluidstack.io/nvidia_inception_offering and apply for the Fluidstack credits
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+ 10 4. Provide details about your AI product, compute needs, and how you plan to use the credits
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+ 11 5. Fluidstack reviews your application — credit amounts are based on your adoption of NVIDIA technologies and intended use
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+ 12 6. Once approved, credits are applied to your Fluidstack account covering compute, storage, and network
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+ 13 7. A dedicated technical account manager is assigned to help you get started
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+ 15 Caveats:
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+ 16 • Credit allocation is not guaranteed at the full $100,000 — amount depends on your company profile and NVIDIA technology adoption
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+ 17 • You must be an active NVIDIA Inception member
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+ 18 • Credits cover compute, storage, and network costs (no hidden fees)
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+ 19 • No long-term commitments required
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+ 25 Fluidstack offers dedicated GPU instances optimized for AI workloads:
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+ 26
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+ 27 GPUVRAMMemory TypePrice
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+ 28 A100 PCIe40 GBHBM2e$1.80/hr
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+ 29 A100 SXM80 GBHBM2e$1.30/hr
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+ 30 L40S48 GBGDDR6X$1.30/hr
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+ 31 H10080 GBHBM3$2.10/hr
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+ 32 H200141 GBHBM3e$2.30/hr
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+ 34 All instances are dedicated (not shared). Private clusters available on request for larger deployments.
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+ 40 GPUApprox. Hours
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+ 41 A100 SXM (80 GB)~76,900 hours
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+ 42 L40S (48 GB)~76,900 hours
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+ 43 H100 (80 GB)~47,600 hours
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+ 44 H200 (141 GB)~43,500 hours
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+ 50 BenefitDetail
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+ 51 Credit amountUp to $100,000
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+ 52 GPU accessH100, H200, A100, L40S
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+ 53 CoversCompute + storage + network
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+ 54 Technical supportDedicated account manager
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+ 55 ContractsNo long-term commitment
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+ 56 InfrastructureManaged Kubernetes and SLURM environments
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+ 62 • NVIDIA Inception is the key — you must be an Inception member first. Inception is free and also unlocks credits from dozens of other cloud providers (Nebius, AWS, Azure, GCP, etc.)
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+ 63 • Credit amount depends on your profile — cloud credit requests are evaluated based on your company's adoption of NVIDIA technologies, intended use for solution development, and completeness of your Inception portal profile. Fill out your profile thoroughly
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+ 64 • Fluidstack is price-competitive — H100 at $2.10/hr and A100 SXM at $1.30/hr are among the lowest rates in the market, comparable to Vast.ai and cheaper than major clouds
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+ 65 • Dedicated account manager is valuable — unlike self-serve platforms, you get a real human to help optimize your setup. Use this for cluster configuration and cost optimization advice
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+ 66 • Stack with other Inception benefits — NVIDIA Inception gives you credits across multiple providers. You can use Fluidstack for training and a different provider for inference
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+ 67 • Managed infrastructure available — Fluidstack offers managed Kubernetes and SLURM environments, which saves significant DevOps time for distributed training
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+ 68 • Company is well-funded and growing — Fluidstack is reportedly raising at a $7B+ valuation with Google backing, so the platform is likely to be stable and well-supported
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+ 72 Sources:
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+ 73 • Fluidstack x NVIDIA Inception Offering
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+ 74 • Fluidstack GPU Pricing — ComputePrices.com
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+ 75 • Fluidstack Review — GetDeploying
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+ 76 • NVIDIA Inception Program
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+ 77 • NVIDIA Inception Guide — ThunderCompute
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+ 78 • Google $100M Fluidstack Investment — SiliconANGLE
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