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Technical Requirements

You must satisfy technical requirements to deploy applications securely and at scale onto the Game Warden platform. Ensure applications meet these specifications prior to contacting the Game Warden team.

Architecture

Requirement Detail
Applications must be containerized. Application must reside within containers and comply with standards specific to the Open Container Initiative.
You must have services for seeding databases, or you must provide scripts for the Game Warden team to execute for you. At IL4, you will not have write access to your production database.
Architecture MUST run on AMD64/X86 We do not currently support ARM.

Security

Requirement Detail
Applications must meet ATO security requirements.
  • Our team scans applications for security vulnerabilities, and you must resolve them per our Acceptance Baseline Criteria. You must regularly update your components to align with ATO security standards, ensuring they remain secure and compliant.
  • Applications are are continuously scanned against newly developed/discovered CVEs - your team must resolve these newly surfaced CVEs as they appear, even after deployment.
Applications must integrate with a DoD-approved authentication and authorization service. Our team supports two Department of Defense (DoD)-approved services: Game Warden and Platform One.
You must have CACs, ECAs, or PIVs to access IL4+ applications. You must navigate the DoD vetting process to secure either a Common Access Card (CAC) or a Federal Personal Identity Verification (PIV) card from a mission sponsor. You also may obtain an External Certification Authority (ECA) card from an approved third party.
Application data must adhere to classification limits. Permitted data includes Controlled Unclassified Information (CUI), Personally Identifiable Information (PII), IL2, IL4, and IL5 along with data specific to the International Traffic in Arms Regulations (ITAR). Contact the Game Warden team for data associated with IL6, Special Access Programs (SAP), or Sensitive Compartmented Information (SCI).

Amazon Web Service (AWS) GPU Support by Environment

EC2 Instance Instance Name GPU Supported
g4dn g4dn.xlarge NVIDIA T4 Tensor Core GPUs
g4dn.2xlarge NVIDIA T4 Tensor Core GPUs
g4dn.4xlarge NVIDIA T4 Tensor Core GPUs
g4dn.8xlarge NVIDIA T4 Tensor Core GPUs
g4dn.12xlarge 4 NVIDIA T4 Tensor Core GPUs
g4dn.16xlarge NVIDIA T4 Tensor Core GPUs
inf1 inf1.xlarge 1 AWS Inferentia Chips
inf1.2xlarge 1 AWS Inferentia Chips
inf1.6xlarge 4 AWS Inferentia Chips
inf1.24xlarge 16 AWS Inferentia Chips
p3dn p3dn.24xlarge 8 NVIDIA Tesla V100 GPUs, each pairing 5,120 CUDA Cores and 640 Tensor Cores
EC2 Instance Instance Name GPU Supported
g3 g3.4xlarge 1 NVIDIA Tesla M60 GPUs, each with 2048 parallel processing cores and 8 GiB of video memory
g3.8xlarge 2 NVIDIA Tesla M60 GPUs, each with 2048 parallel processing cores and 8 GiB of video memory
g3.16xlarge 4 NVIDIA Tesla M60 GPUs, each with 2048 parallel processing cores and 8 GiB of video memory
g4dn g4dn.xlarge 1 NVIDIA T4 Tensor Core GPUs
g4dn.2xlarge 1 NVIDIA T4 Tensor Core GPUs
g4dn.4xlarge 1 NVIDIA T4 Tensor Core GPUs
g4dn.12xlarge 4 NVIDIA T4 Tensor Core GPUs
g4dn.16xlarge 1 NVIDIA T4 Tensor Core GPUs
g4dn.metal 8 NVIDIA T4 Tensor Core GPUs
g5 g5.xlarge 1 NVIDIA A10G Tensor Core GPUs
g5.2xlarge 1 NVIDIA A10G Tensor Core GPUs
g5.4xlarge 1 NVIDIA A10G Tensor Core GPUs
g5.8xlarge 1 NVIDIA A10G Tensor Core GPUs
g5.16xlarge 1 NVIDIA A10G Tensor Core GPUs
g5.12xlarge 4 NVIDIA A10G Tensor Core GPUs
g5.24xlarge 4 NVIDIA A10G Tensor Core GPUs
g5.48xlarge 8 NVIDIA A10G Tensor Core GPUs
p3 p3.2xlarge 1 NVIDIA Tesla V100 GPUs, each pairing 5,120 CUDA Cores and 640 Tensor Cores
p3.8xlarge 4 NVIDIA Tesla V100 GPUs, each pairing 5,120 CUDA Cores and 640 Tensor Cores
p3.16xlarge 8 NVIDIA Tesla V100 GPUs, each pairing 5,120 CUDA Cores and 640 Tensor Cores
p3dn p3dn.24xlarge 8 NVIDIA Tesla V100 GPUs
p5 p5.48xlarge 8 NVIDIA Tesla V100 GPUs, each pairing 5,120 CUDA Cores and 640 Tensor Cores
EC2 Instance Instance Name GPU Supported
g3 g3.4xlarge 1 NVIDIA Tesla M60 GPUs, each with 2048 parallel processing cores and 8 GiB of video memory
g3.8xlarge 2 NVIDIA Tesla M60 GPUs, each with 2048 parallel processing cores and 8 GiB of video memory
g3.16xlarge 4 NVIDIA Tesla M60 GPUs, each with 2048 parallel processing cores and 8 GiB of video memory
g4dn g4dn.xlarge 1 NVIDIA T4 Tensor Core GPUs
g4dn.2xlarge 1 NVIDIA T4 Tensor Core GPUs
g4dn.4xlarge 1 NVIDIA T4 Tensor Core GPUs
g4dn.12xlarge 4 NVIDIA T4 Tensor Core GPUs
g4dn.16xlarge 1 NVIDIA T4 Tensor Core GPUs
g4dn.metal 8 NVIDIA T4 Tensor Core GPUs
g5 g5.xlarge 1 NVIDIA A10G Tensor Core GPUs
g5.2xlarge 1 NVIDIA A10G Tensor Core GPUs
g5.4xlarge 1 NVIDIA A10G Tensor Core GPUs
g5.8xlarge 1 NVIDIA A10G Tensor Core GPUs
g5.16xlarge 1 NVIDIA A10G Tensor Core GPUs
g5.12xlarge 4 NVIDIA A10G Tensor Core GPUs
g5.24xlarge 4 NVIDIA A10G Tensor Core GPUs
g5.48xlarge 8 NVIDIA A10G Tensor Core GPUs
p3 p3.2xlarge 1 NVIDIA Tesla V100 GPUs, each pairing 5,120 CUDA Cores and 640 Tensor Cores
p3.8xlarge 4 NVIDIA Tesla V100 GPUs, each pairing 5,120 CUDA Cores and 640 Tensor Cores
p3.16xlarge 8 NVIDIA Tesla V100 GPUs, each pairing 5,120 CUDA Cores and 640 Tensor Cores
p3dn p3dn.24xlarge 8 NVIDIA Tesla V100 GPUs
p4d p4d.24xlarge 8 NVIDIA A100 Tensor Core GPUs
p5 p5.48xlarge 8 NVIDIA Tesla V100 GPUs, each pairing 5,120 CUDA Cores and 640 Tensor Cores

Guidance

The Game Warden team will work with you to ensure your product aligns with these technical requirements and, going forward, provide any necessary insight to help you launch your application. Contact us at Growth for additional information.

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Last Updated: 12/11/23

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