Lambda Labs Research Grant - Up to $5,000
Source: https://lambda.ai/research
Description
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+ 1 Lambda Labs offers up to $5,000 in cloud credits to qualifying academic researchers through its Research Grant program. There is no general-purpose free trial or free tier for regular users — this is a competitive, application-based grant. Recipients get access to Lambda's GPU cloud instances (NVIDIA B200, H100, A100, A6000, and more) plus mentoring from Lambda's Chief Scientific Officer, Chuan Li. Lambda expects to sponsor hundreds of researchers, with funded work presented at top venues like NeurIPS, ICML, and ICCV.
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+ 7 This program is specifically for academic researchers working on AI/ML projects. It is not for indie hackers, hobbyists, or startup founders looking for general compute credits. You need:
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+ 8
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+ 9 • An active research project in AI/ML (focus areas include multimodal AI, generative AI, reasoning, and scaling)
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+ 10 • Affiliation with a research institution or university
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+ 11 • A project compelling enough to pass Lambda's review process
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+ 12
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+ 13 If you are not an academic researcher, Lambda Cloud has no free trial or signup credits. You will need to pay on-demand rates starting at $0.50/hr (Quadro RTX 6000) and up.
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+ 19 1. Go to lambda.ai/research
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+ 20 2. Review the featured research projects to understand the caliber of work Lambda funds
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+ 21 3. Click the Apply button (links to a Typeform application)
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+ 22 4. Fill out the application with your research proposal, institutional affiliation, and compute requirements
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+ 23 5. Submit and wait for review — there is no publicly stated timeline for decisions
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+ 24 6. If accepted, credits are added to your Lambda Cloud account
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+ 25
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+ 26 Important:
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+ 27 • There is no published application deadline — the program appears to accept applications on a rolling basis
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+ 28 • There is no guarantee of receiving the full $5,000; the grant is described as "up to $5,000"
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+ 29 • Select research may be featured on Lambda's website
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+ 30 • You also receive mentoring from Chuan Li, Lambda's Chief Scientific Officer
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+ 36 1. Go to cloud.lambdalabs.com/sign-up
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+ 37 2. Create an account with your email address
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+ 38 3. Phone verification — provide a phone number for SMS verification
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+ 39 4. Credit card required — you must register a valid payment method even if you have grant credits
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+ 40 5. Add an SSH key — upload your public SSH key (supports OpenSSH, RFC4716, PKCS8, PEM formats)
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+ 41 6. Launch an instance from the dashboard — select GPU type, region, and attach persistent storage
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+ 42
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+ 43 Note: Credit card registration is mandatory. Grant credits are applied as service credits that decrease at the end of each weekly billing cycle.
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+ 49 Grant credits can be used on any Lambda Cloud on-demand instance. Here is the full pricing table (prices are per GPU per hour):
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+ 53 GPUVRAMvCPUsRAMStorage$/hr
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+ 54 B200 SXM6180 GB26360 GB2.75 TB SSD$5.29
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+ 55 GH20096 GB64432 GB4 TB SSD$1.99
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+ 56 H100 SXM80 GB26225 GB2.75 TB SSD$3.29
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+ 57 H100 PCIe80 GB26225 GB1 TB SSD$2.49
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+ 58 A100 SXM40 GB30220 GB512 GB SSD$1.29
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+ 59 A100 PCIe40 GB30225 GB512 GB SSD$1.29
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+ 60 A1024 GB30226 GB1.3 TB SSD$0.75
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+ 61 A600048 GB14100 GB512 GB SSD$0.80
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+ 62 Quadro RTX 600024 GB1446 GB512 GB SSD$0.50
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+ 66 GPUConfig$/hr per GPU
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+ 67 B200 SXM68x$4.99
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+ 68 H100 SXM8x$2.99
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+ 69 A100 SXM 80 GB8x$1.79
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+ 70 A100 SXM 40 GB8x$1.29
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+ 71 Tesla V1008x$0.55
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+ 72 A60004x / 2x$0.80
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+ 73 A100 PCIe 40 GB4x / 2x$1.29
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+ 77 GPUApprox. Hours on $5,000
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+ 78 Quadro RTX 6000 (1x)~10,000 hrs
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+ 79 A6000 (1x)~6,250 hrs
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+ 80 A10 (1x)~6,667 hrs
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+ 81 A100 PCIe 40 GB (1x)~3,876 hrs
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+ 82 H100 PCIe (1x)~2,008 hrs
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+ 83 H100 SXM (1x)~1,520 hrs
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+ 84 B200 SXM6 (1x)~945 hrs
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+ 90 Every Lambda instance comes pre-installed with Lambda Stack:
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+ 91
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+ 92 • NVIDIA drivers and CUDA toolkit
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+ 93 • cuDNN, NCCL, OFED (for InfiniBand networking)
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+ 94 • PyTorch, TensorFlow, JAX
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+ 95 • Docker and JupyterLab
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+ 96 • Ubuntu-based OS
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+ 97
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+ 98 A minimal "GPU Base" image (Ubuntu Server with drivers only) is also available.
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• Create persistent storage filesystems that mount at /lambda/nfs/<FILESYSTEM_NAME>
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+ 105 • Filesystems must be attached before launching an instance
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+ 106 • Data on terminated instances is permanently lost unless saved to persistent storage
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+ 107 • No egress fees — download your data, checkpoints, and model weights without additional charges
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+ 113 • Instances are available in US regions (Utah us-west-3, Texas us-south-1)
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+ 114 • Network bandwidth: up to 200 Gbps between instances, 20 Gbps to the internet
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+ 115 • InfiniBand networking is included as standard for multi-GPU and cluster workloads
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+ 116 • SOC 2 Type II compliant, single-tenant infrastructure
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+ 122 Lambda Cloud operates on a first-come, first-served basis with no reservations for on-demand instances. Popular GPU types (especially H100 and B200) frequently experience capacity shortages. This is a known issue — if your preferred GPU is not available, you may need to check back repeatedly or consider a less popular configuration.
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+ 127
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+ 128 • No free trial exists — Lambda does not offer signup credits or a free tier for general users. The research grant is the only way to get free compute
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+ 129 • Reserved pricing — if you commit to 1-3 year terms, Lambda offers discounts up to 50% off on-demand rates (e.g., H100 cluster at $2.19/GPU-hr reserved vs $2.29 on-demand)
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+ 130 • 1-Click Clusters — for large-scale training, Lambda offers clusters of 16-2,000+ interconnected B200 or H100 GPUs
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+ 131 • Billing is weekly — charges and credit deductions happen at the end of each weekly billing cycle, not in real-time
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+ 132 • Google for Startups, AWS, Azure — if you are not an academic researcher, consider free credit programs from major cloud providers instead (GCP $300, Azure $200, AWS research credits)
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+ 133 • Lambda for Startups — Lambda may have startup-specific programs; contact their sales team directly
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+ 136
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+ 137 Sources:
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+ 138 • Lambda Research Grant Program
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+ 139 • Lambda Cloud Pricing
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+ 140 • Lambda Cloud Instances
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+ 141 • Lambda Cloud Getting Started Guide
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+ 142 • Lambda Cloud Sign Up
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+ 143 • Lambda Research Grant Announcement (BusinessWire)
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+ 144 • Lambda Research Grant Announcement (HPCwire)
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+ 145 • Free GPU Cloud Trials Guide (GMI Cloud)
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