Your data, your domain.
Our GPUs, your model.
Agent operators often need domain-specific model behavior. Fine-tuning on hyperscaler APIs is expensive and opaque. DIY requires GPU infrastructure most teams don't have. iAgentFoundry will offer fine-tuning-as-a-service on iJarvis hardware. Cluster 3 roadmap 2028. Launches once iJarvis Compute has volume customers who want fine-tuned models.
iAgentFoundry will provide four primitives
Fine-tune up to 70B parameters
DGX Spark pair handles 70B natively; 405B at aggressive quantization. Full CUDA stack, PyTorch / Unsloth / Axolotl supported.
Data stays on-prem
Upload to iJarvis directly; never routed through third-party cloud. Air-gapped training option for sensitive datasets.
Host the result here
Fine-tuned models default-hosted on iAgentGrid, served via iJarvis Compute. One integration covers training + serving.
Transparent pricing
$0.50-$5.00 per training step depending on model size. Predictable up-front quote, not surprise metered billing.
The gap iAgentFoundry fills
Fine-tuning is foundational to specialized agents
Off-the-shelf models are general. Domain experts (legal, medical, financial, code-specific) want fine-tuned models. Most teams can't DIY.
Full pipeline under one roof
Train + serve + monitor + improve in one vendor. Training on iAgentFoundry, serving on iJarvis Compute, observing via iAgentLog.
Hardware availability matters now
NVIDIA H100/H200 cloud instances have queue times. iAgentFoundry has immediate availability on its cluster. Faster iteration cycles.
Planned endpoints in Roadmap 2028 (hardware)
Preview of the planned API surface. OpenAPI 3.1 specification at /.well-known/openapi.yaml. Endpoints at api.iagentfoundry.com will serve requests at roadmap 2028 (hardware); agent-consumable JSON by design.
POST /v1/training/jobs |
Start a fine-tuning run |
GET /v1/training/jobs/{id} |
Training status + metrics |
POST /v1/datasets |
Upload training data |
GET /v1/models |
List of fine-tuned models |
POST /v1/deploy |
Deploy fine-tuned model to iJarvis Compute |
iAgentFoundry is one layer
Sixteen products. One stack. One entity. Trust, discovery, observability, payments, safety, simulation, composition, memory, identity, legal, markets, and owned compute underneath. Each layer reinforces the others. Use one or use them all.