Compute Infrastructure
- NVIDIA GB200 Grace Blackwell
- NVIDIA DGX GB200 NVL72
- NVIDIA B200 Tensor Core
- NVIDIA H200 Tensor Core
- NVIDIA HGX B200
- NVIDIA HGX H200
- NVIDIA GH200 Grace Hopper
- NVIDIA H100 Tensor Core
- NVIDIA A100 Tensor Core
- NVIDIA L40S
Sovereign AI/LLM
Exclusive Service
Frontier model and sovereign foundation-model program
Private delivery by scope approval only
Sovereign AI for nations, institutions, and organizations requiring dedicated foundation-model capability
Foundation model capability maturity emerges from integrated ownership across compute infrastructure, distributed systems engineering, training systems, model architecture capability, runtime optimization, evaluation frameworks, deployment systems, governance capability, security systems, operational resilience, and long-term infrastructure ownership.
Compute
Distributed Systems
Data Systems
Model Systems
Training Systems
Runtime Systems
Evaluation & Benchmark
Deployment
Security
Reliability
Governance
Research
Organization
Distributed Training
- Tensor Parallelism
- Pipeline Parallelism
- Data Parallelism
- Expert Parallelism
- Sequence Parallelism
- ZeRO Optimization
- Distributed Gradient Systems
- Checkpoint Sharding
Distributed Runtime
- GPU Scheduling Systems
- Distributed Runtime Systems
- Runtime Orchestration
- Runtime Telemetry
- Distributed Inference
- Speculative Decoding
- Dynamic Batching
- KV Cache Optimization
Cluster Systems
- Cluster Scheduling Systems
- Multi-node Orchestration
- Multi-region Infrastructure
- Distributed Cache Systems
- Cluster Failover Systems
- Distributed Storage Systems
Interconnect and Storage
- NVLink
- NVSwitch
- InfiniBand
- Parallel Filesystem
- Distributed Object Storage
- Checkpoint Storage Systems
- High Throughput Storage
Evaluation & Benchmark Expansion
- MMLU-Pro, GPQA Diamond, BBH, ARC-Challenge, GSM8K, and MATH evaluation tracks
- HumanEval, MBPP, SWE-bench Verified, LiveCodeBench, and repository-level coding tests
- LongBench, RULER, needle-in-a-haystack, multi-hop retrieval, and context-retention tests
- ToolBench-style tool execution, structured-output validity, and transaction-safety benchmarks
- HELM-style regression matrix with baseline comparison, release gates, and score drift review
Training Assurance
- Loss-curve governance, gradient-norm telemetry, overflow checks, and convergence anomaly review
- Dataset contamination audit, benchmark holdout protection, tokenizer coverage audit, and corpus mixture review
- NCCL fabric health checks, all-reduce profiling, checkpoint reproducibility, and restart rehearsal
- Optimizer-state integrity, activation checkpointing policy, sharded checkpoint validation, and artifact hashing
Runtime & Inference Engineering
- Time-to-first-token, p95/p99 latency, tokens per second per GPU, and saturation-curve profiling
- KV-cache fragmentation analysis, continuous batching, speculative decoding acceptance rate, and queue discipline
- Quantization regression tests, model routing canaries, rollback rehearsals, and capacity-failure simulation
- Kernel profiling, memory-bandwidth pressure review, tensor-parallel serving layout, and inference cost envelope
Security & Governance Testing
- Prompt injection suite, jailbreak robustness, adversarial instruction testing, and unsafe-tool-call review
- PII leakage checks, membership-inference risk review, memorization probes, and data-extraction tests
- Model card, system card, dataset card, release evidence, red-team log, and rights-transfer register
- Access governance, audit trails, environment isolation, incident response, and post-release monitoring protocol
Tier I
Domain Foundation Model
This level funds a domain foundation model program, not a thin API wrapper. The budget covers corpus rights work, data engineering, controlled training, evaluation, security testing, inference preparation, and transfer of assigned model artifacts.
- Capability Development Timeline
- 9-15 months
- Distributed Engineering Organization
- 180+ engineers, reviewers, and operators
- Replacement Complexity
- 10+ years
- Defensibility
- Long-lived domain asset barrier
Exclusive Service
Exclusive Asset Transfer
Buyer retains 100% ownership of assigned deliverables
Model weights ownership transfer
Dataset ownership agreement
Private training environment
Parameter Architecture
- 3B Parameters
- 7B Parameters
- 13B Parameters
Model Architecture
- Dense Transformer
- Retrieval Architecture
- Embedding Systems
- Tokenizer Systems
- Domain Alignment Systems
Token Scale
- 500B Training Tokens
- 1T Training Tokens
Dataset Systems
- Domain Corpus Engineering
- Dataset Validation
- Dataset Governance
- Synthetic Data Generation
- Data Lineage Systems
- Data Observability
Benchmarks
- MMLU
- GSM8K
- ARC
- HumanEval
- Threat Intelligence Benchmark
- Detection Rule Benchmark
Deployment
- Private Deployment
- Hybrid Deployment
- Edge Deployment
Reliability
- Autoscaling
- Runtime Monitoring
- Fault Tolerance
Security
- AI Governance
- Infrastructure Security
- Prompt Injection Resilience
Engineering Organization
- Foundation Research Engineer
- Applied AI Research Engineer
- Alignment Engineer
- Evaluation Engineer
- Distributed Systems Engineer
- Runtime Systems Engineer
- HPC Engineer
- GPU Systems Engineer
- Data Engineer
- Data Pipeline Engineer
- Synthetic Data Engineer
- Platform Engineer
- MLOps Engineer
- Reliability Engineer
- AI Security Engineer
- Governance Engineer
Program Components
- Foundation Research Program
- Corpus Acquisition & Licensing
- Distributed GPU Training Infrastructure
- Synthetic Data Generation Pipeline
- Evaluation & Safety Systems
- Red Team Security Testing
- Alignment Research
- Inference Infrastructure
- Full IP Assignment for project-specific artifacts
- Exclusive Ownership Transfer
- Multi-Year Support
Infrastructure Scale
- 512-2,048 GPU planning envelope
- Multi-petabyte corpus and checkpoint storage
- Private or hybrid compute environment
- Dedicated domain research organization
- Private deployment with edge or hybrid option
- Controlled inference and monitoring environment
Exclusive Ownership Position
- Buyer retains 100% ownership of assigned deliverables
- Model weights and checkpoint transfer schedule
- Dataset ownership and permitted-use agreement
- Private training access control
- Source-material and third-party license register
Why This Tier Costs Rp2T
The budget is attached to building a defensible domain model asset: lawful corpus access, repeatable training, measurable release gates, security review, deployment readiness, and client-side ownership documentation.
Strategic Capability Value
USD 125.000.000 (IDR 2.000.000.000.000)Tier II
Native Foundation Model
This level funds a native model program with larger training and evaluation obligations, air-gapped or sovereign deployment options, stronger runtime security, and a dedicated transfer package for assigned model assets.
- Capability Development Timeline
- 15-21 months
- Distributed Engineering Organization
- 400+ engineers, researchers, reviewers, and operators
- Replacement Complexity
- 12+ years
- Defensibility
- Sovereign native asset barrier
Exclusive Service
Exclusive Asset Transfer
Buyer retains 100% ownership of assigned deliverables
Model weights ownership transfer
Dataset ownership agreement
Private training environment
Parameter Architecture
- 13B Parameters
- 32B Parameters
Architecture
- Dense Transformer
- Sparse Attention
- Retrieval Systems
- Long Context Systems
Token Scale
- 1T-5T Tokens
Dataset Capability
- Structured Intelligence Dataset
- Unstructured Intelligence Dataset
- Multilingual Dataset
- Synthetic Dataset Pipeline
Benchmark Systems
- MMLU
- GPQA
- BBH
- HellaSwag
- HumanEval
- MBPP
- Tool Execution Benchmark
Deployment
- Sovereign Deployment
- Air-gapped Infrastructure
- Multi-region Deployment
Reliability
- Distributed Failover
- Health Monitoring
- Checkpoint Recovery
Security
- Runtime Security
- Model Isolation
- AI Governance
Additional Engineering
- CUDA Engineer
- Kernel Engineer
- Runtime Optimization Engineer
Program Components
- Foundation Research Program
- Corpus Acquisition & Licensing
- Distributed GPU Training Infrastructure
- Synthetic Data Generation Pipeline
- Evaluation & Safety Systems
- Red Team Security Testing
- Alignment Research
- Inference Infrastructure
- Full IP Assignment for project-specific artifacts
- Exclusive Ownership Transfer
- Multi-Year Support
Infrastructure Scale
- 2,000-5,000 GPU planning envelope
- High-throughput object and checkpoint storage
- Air-gapped or sovereign deployment option
- Dedicated evaluation and security organization
- Multi-region recovery design where required
- Private runtime and inference control plane
Exclusive Ownership Position
- Buyer retains 100% ownership of assigned deliverables
- Model weights, tokenizer, and checkpoint transfer
- Dataset ownership agreement with source authority map
- Private training environment and isolated artifact store
- License exclusions documented before handover
Why This Tier Costs Rp5T
The cost is driven by native model engineering, larger-scale training operations, long-context and multilingual dataset work, air-gapped delivery constraints, security testing, and transferable model governance evidence.
Strategic Capability Value
USD 312.000.000 (IDR 5.000.000.000.000)Tier III
Foundation Systems Company
This level funds a foundation systems company capability: model family planning, large distributed training, evaluation infrastructure, runtime platforms, security operations, and an organization capable of repeating the release process.
- Capability Development Timeline
- 21-30 months
- Distributed Engineering Organization
- 900+ engineers, researchers, operators, and reviewers
- Replacement Complexity
- 15+ years
- Defensibility
- Organization-level foundation-model barrier
Exclusive Service
Exclusive Asset Transfer
Buyer retains 100% ownership of assigned deliverables
Model weights ownership transfer
Dataset ownership agreement
Private training environment
Parameter Architecture
- 32B Parameters
- 70B Parameters
Architecture Systems
- Mixture of Experts (MoE)
- Sparse Systems
- Agent Systems
- Multi-agent Systems
- Long Context Systems
- Cognitive Orchestration
Token Scale
- 5T-10T Tokens
Benchmark Systems
- GPQA
- MMLU
- BIG-Bench
- BBH
- SWE-Bench
- HumanEval
- MBPP
- Workflow Automation Benchmark
- Multi-agent Benchmark
- MITRE ATT&CK Evaluation
Reliability
- Runtime Observability
- Distributed Recovery
- Distributed Checkpoint
Security
- AI Red Team
- Prompt Injection Defense
- Adversarial Robustness
Engineering Expansion
- AI Systems Architect
- Distributed Storage Engineer
- Runtime Platform Engineer
- AI Governance Specialist
Program Components
- Foundation Research Program
- Corpus Acquisition & Licensing
- Distributed GPU Training Infrastructure
- Synthetic Data Generation Pipeline
- Evaluation & Safety Systems
- Red Team Security Testing
- Alignment Research
- Inference Infrastructure
- Full IP Assignment for project-specific artifacts
- Exclusive Ownership Transfer
- Multi-Year Support
Infrastructure Scale
- 5,000-20,000 GPU planning envelope
- Exabyte-scale storage and checkpoint planning
- Multi-region compute and recovery architecture
- Dedicated research organization
- Private sovereign deployment
- Distributed runtime and inference fleet planning
Exclusive Ownership Position
- Buyer retains 100% ownership of assigned deliverables
- Model family weights and registry transfer
- Dataset ownership agreement and lineage evidence
- Private training environment with audit boundary
- Research artifacts and evaluation assets assigned under contract
Why This Tier Costs Rp9-10T
This budget supports a repeatable foundation systems organization: large training runs, multi-agent and workflow benchmarks, red-team operations, distributed runtime engineering, model family release governance, and strategic asset transfer.
Strategic Capability Value
USD 562.000.000 - 625.000.000 (IDR 9.000.000.000.000 - 10.000.000.000.000)Tier IV
Sovereign Foundation Infrastructure
This level funds sovereign foundation infrastructure: persistent compute planning, secure data estates, model-family governance, multi-region recovery, dedicated security operations, and long-term ownership of assigned foundation-model assets.
- Capability Development Timeline
- 30-42 months
- Distributed Engineering Organization
- 1,800+ engineering, research, security, and infrastructure staff
- Replacement Complexity
- 20+ years
- Defensibility
- National-scale sovereign infrastructure barrier
Exclusive Service
Exclusive Asset Transfer
Buyer retains 100% ownership of assigned deliverables
Model weights ownership transfer
Dataset ownership agreement
Private training environment
Parameter Architecture
- 70B Parameters
- 120B+ Parameters
Architecture
- Foundation Model Family Systems
- Sovereign AI Systems
- Native Runtime Systems
Token Scale
- 10T+ Training Tokens
Research Systems
- Scaling Law Research
- Optimization Research
- Evaluation Research
- Architecture Engineering
Benchmark Systems
- MMLU
- GPQA
- HumanEval
- SWE-Bench
- Reliability Benchmark
- Long Context Benchmark
Reliability
- Infrastructure Redundancy
- Multi-region Recovery
- Runtime Resilience
Security
- Infrastructure Hardening
- AI Governance Systems
- Access Governance
Program Components
- Foundation Research Program
- Corpus Acquisition & Licensing
- Distributed GPU Training Infrastructure
- Synthetic Data Generation Pipeline
- Evaluation & Safety Systems
- Red Team Security Testing
- Alignment Research
- Inference Infrastructure
- Full IP Assignment for project-specific artifacts
- Exclusive Ownership Transfer
- Multi-Year Support
Infrastructure Scale
- 20,000-50,000 GPU planning envelope
- Exabyte-scale storage and checkpoint fabric
- Multi-region sovereign compute
- Dedicated security and reliability operations
- Private sovereign deployment and recovery zones
- Native runtime and controlled inference infrastructure
Exclusive Ownership Position
- Buyer retains 100% ownership of assigned deliverables
- Model family, runtime configuration, and checkpoint transfer
- Dataset ownership agreement with regulated source handling
- Private training environment under client-approved access policy
- Sovereign handover schedule for artifacts and documentation
Why This Tier Costs Rp20T
The price reflects sovereign infrastructure, not a single model run: persistent compute planning, data estates, model family governance, long-term reliability, hardened access control, multi-region recovery, and ownership-grade documentation.
Strategic Capability Value
USD 1.250.000.000 (IDR 20.000.000.000.000)Tier V
Frontier Foundation Model Company
This level funds a frontier foundation-model company program with large research depth, frontier-scale training and inference planning, dedicated evaluation science, global reliability operations, and exclusive transfer of assigned model assets.
- Capability Development Timeline
- 42-60+ months
- Distributed Engineering Organization
- 3,000+ foundation-model, infrastructure, evaluation, security, and operations staff
- Replacement Complexity
- 25+ years
- Defensibility
- Near-irreplaceable frontier capability
Exclusive Service
Exclusive Asset Transfer
Buyer retains 100% ownership of assigned deliverables
Model weights ownership transfer
Dataset ownership agreement
Private training environment
Parameter Architecture
- 120B+ Parameters
- Frontier-scale Dense
- Frontier MoE Systems
Architecture Systems
- Native Frontier Ecosystem
- Frontier Agent Framework
- Distributed Frontier Runtime
- Large-scale Distributed Inference
Token Scale
- Frontier-scale Training Infrastructure
Benchmarks
- MMLU
- GPQA
- BBH
- BIG-Bench
- SWE-Bench
- HumanEval
- Reliability Benchmark
- Long Context Benchmark
- Multi-agent Evaluation
- Adversarial Benchmark
- Runtime Security Benchmark
Reliability
- Global Failover Systems
- Runtime Resilience
- Distributed Recovery
IP Layer
- Native Runtime Ownership
- Native Training Ownership
- Native Evaluation Ownership
- Distributed Systems Ownership
- Orchestration Ownership
Engineering Expansion
- Frontier Research Engineer
- Kernel Optimization Engineer
- CUDA Engineer
- Compiler Engineer
- HPC Specialist
- Runtime Systems Engineer
- Distributed Systems Engineer
- AI Scientist
- Infrastructure Architect
Program Components
- Foundation Research Program
- Corpus Acquisition & Licensing
- Distributed GPU Training Infrastructure
- Synthetic Data Generation Pipeline
- Evaluation & Safety Systems
- Red Team Security Testing
- Alignment Research
- Inference Infrastructure
- Full IP Assignment for project-specific artifacts
- Exclusive Ownership Transfer
- Multi-Year Support
Infrastructure Scale
- 50,000+ GPU planning envelope
- Exabyte to multi-exabyte storage architecture
- Global multi-region research and inference estate
- Dedicated frontier research organization
- Private sovereign deployment capability
- Global reliability, safety, and incident operations
Exclusive Ownership Position
- Buyer retains 100% ownership of assigned deliverables
- Frontier model weights, checkpoint, and registry transfer
- Dataset ownership agreement and corpus-rights ledger
- Private training environment with client-governed access
- Exclusive transfer of agreed research and evaluation assets
Why This Tier Costs Rp49-50T+
The amount corresponds to a frontier organization: long-horizon research, massive experiment capacity, specialized kernels and compilers, evaluation science, global runtime operations, security review, and near-irreplaceable assigned asset transfer.
Strategic Capability Value
USD 3.060.000.000 - 3.120.000.000+ (IDR 49.000.000.000.000 - 50.000.000.000.000+)Capability Maturity Dimensions
Foundation maturity is determined by parameter scale, token scale, benchmark performance, dataset capability, deployment capability, reliability engineering, security engineering, runtime systems, distributed systems capability, infrastructure ownership, research capability, architecture systems, evaluation systems, governance capability, operational capability, and long-term strategic defensibility.