ARK's benchmark suites, architecture papers, and reproducibility notes. Every number on this site is independently verifiable — on our hardware and on yours, during a POC.
A 12-turn multi-topic conversation run with and without ARK's stateful mode. Same model, same hardware — only the KV-cache toggle changes. Result: flat latency, collapsed token volume, orders-of-magnitude less GPU prefill work.
Extending the study to 100B-class models and above. Broader hardware matrix, with watts-per-generated-token measured as a first-class metric alongside throughput — expect stronger TPS and better energy efficiency on the same ARK runtime.
Coming soonSupervisor, Compute Nodes, Model Storage, API Gateway — how each layer works and why the architecture is a structural advantage, not a feature.
What happens when a node drops mid-token, how the re-sharding protocol recovers, and why “the whole group crashes” isn't an acceptable failure mode.
The prompt sets, the scripts, and the hardware requirements — so you can re-run every number on this site independently during a POC.
| Capability | ARK | vLLM | TensorRT-LLM | Ollama |
|---|---|---|---|---|
| Heterogeneous GPU Support | ✓ Any mix | ✗ Homogeneous | ✗ Homogeneous | ✗ Single GPU |
| Elastic Hot-Scaling | ✓ Runtime | ✗ Restart | ✗ Restart | ✗ Not supported |
| Fault Tolerance | ✓ 99% survival | ✗ Group crash | ✗ Group crash | ✗ No HA |
| Multi-Model Tenancy | ✓ Shard-level | ✗ Per-model | ✗ Static engines | ✗ One per GPU |
| Network Requirement | ✓ ~5 Mbit/s | ✗ NVLink/IB | ✗ NVLink/IB | N/A |
| Session Isolation | ✓ KV + attention | ✗ Shared batching | ✗ Shared batching | Per-process |
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