Question 1

Can I run large language models on older GPUs like the A100?

Accepted Answer

Yes. NativeOS pools prior-generation accelerators — A100-class NVIDIA cards and AMD ROCm cards — into a single addressable substrate, then shards model weights to fit the VRAM each card actually has. Capability scales with scheduling rather than with buying current-generation silicon.

Question 2

What is a heterogeneous GPU cluster?

Accepted Answer

A heterogeneous cluster mixes accelerator generations and vendors in one serving pool — for example NVIDIA B300 alongside A100 and AMD ROCm cards. Most inference runtimes assume uniform hardware and degrade or refuse to schedule across mixed fleets. NativeOS places each shard by measured topology and free VRAM instead of by hardware SKU.

Question 3

Does BetterAI work with both NVIDIA and AMD accelerators?

Accepted Answer

Yes. NativeOS provides one scheduling plane across NVIDIA CUDA and AMD ROCm, so a single model layout can span both vendors simultaneously. Workloads are pinned to physical topology rather than to a vendor runtime.

Question 4

How does NativeOS compare to vLLM, SGLang, and TensorRT-LLM?

Accepted Answer

On a 44,000-token prompt, NativeOS delivers 15–40% higher generated tokens per second and correspondingly lower time-to-first-token than the best of those runtimes, because the layout spreads across a distributed A100 tier rather than queueing on a handful of current-generation cards. Figures are based on client usage and monthly reports across production fleets.

Question 5

What is deterministic side-effect control?

Accepted Answer

Every action an agent proposes is validated before it executes, and agents run without ambient credentials. Capability grants are explicitly scoped and revoked at the end of each task, so a failed run leaves no unauthorised state mutation behind. The model proposes; the controller decides what is kept.

Question 6

What is ROMA?

Accepted Answer

ROMA is the Recursive Meta-Agent escalation module inside DataReactor. When a standard processing path reaches ambiguity, ROMA triggers a priority system override, applying dynamic resource allocation, bounded recursion depth, and cryptographic state verification so complex orchestration stays deterministic.

Question 7

Can BetterAI be deployed air-gapped or on-premise?

Accepted Answer

Yes. NativeOS is an appliance operating system for server farms and runs bare-metal, air-gapped, or hybrid, with no egress requirement. Licensing is per-cluster rather than per-accelerator.

Question 8

How much can running on prior-generation GPUs save?

Accepted Answer

Serving an equivalent workload on a distributed A100 tier typically lands around 25% below the cheaper of on-demand current-generation cloud rates or owned B300 capacity, once capex is amortised over three years and power, hosting, and licensing are included. Actual figures depend on your contracted rates.

DataReactor

DataReactor

Logic-Unit Synthesis

ROMA Escalation

Put logic in charge of the loop.