Premium VRAM. Frontier Models On-Premise.
Reserved for workloads that genuinely require high GPU memory and cannot be sharded across J32s.
Some models are too large, some contexts are too long, and some workloads refuse quantization. JOHNAIC 192 exists for those exact moments. With 192 GB of GPU memory and redundant power, it hosts frontier models behind your firewall without the cloud tax.
6× the price of J32 and deliberately so. J192 is recommended only when the use case explicitly demands it.
192 GB GPU memory
Host large models and long contexts without sharding or aggressive quantization.
Redundant by design
Redundant PSU and mirrored NVMe disks. Because the heaviest workloads deserve the most reliable hardware.
Same fabric, same stack
J192 drops into the same 100 GbE fabric and runs the same validated software image as J32.
- —70B+ parameter models
- —128K+ context windows
- —Mixture-of-Experts models with high active parameter counts
- —Complex regulatory reasoning and multi-document synthesis
- —Any workload where Q4 quantization is unacceptable
- —Default inference workloads — J32 is the right starting point
- —"Future-proofing" without a current large-model requirement
- —Medium models: 32B parameters (comfortable, high quality)
- —Large models: 70B+ parameters (primary use case)
- —Long context: 128K+ windows
- —MoE models: large active parameter counts
- —Complex regulatory reasoning
- —Large policy analysis
- —Frontier model hosting
- —Low-quantization inference
See if your workload needs J192.
Send us your model, context length, and quality requirements. We will tell you honestly whether J192 is necessary.