FRONTIER TRAINING
NVIDIA H100
80GB HBM3 with NVLink. The fastest path for fine-tuning and high-throughput inference on the largest open models.
80GB HBM3 · SXM · NVLink
GPU INFRASTRUCTURE
Dedicated A100 GPUs.
Your hardware. Your data.
Physical NVIDIA A100 40GB servers in Israeli Tier III data centers running vLLM — one tenant per box, with dedicated VRAM and no noisy neighbours.
A100 / H100 / L40SSingle-tenantvLLM servingIsraeli residency
GPU TIERS
Pick the silicon that fits the workload.
Every tier ships as a single-tenant bare-metal node — the whole GPU is yours, never time-sliced across strangers.
PRODUCTION INFERENCE
NVIDIA A100
40 or 80GB HBM2e — the proven workhorse for serving Qwen, Llama and Mistral with vLLM at predictable cost.
40 / 80GB HBM2e · PCIe / SXM
EFFICIENT SERVING
NVIDIA L40S
48GB GDDR6 — the cost-efficient option for steady mid-size inference and batch generation workloads.
48GB GDDR6 · PCIe
SINGLE-TENANT ARCHITECTURE
One tenant per box. No noisy neighbours.
Shared clouds slice one GPU across many tenants — your latency depends on strangers. Here, your workload is pinned to your own bare-metal hardware inside an owned boundary.
YOUR DEDICATED NODES
H100 · 80GBPINNED TO YOU
A100 · 80GBPINNED TO YOU
L40S · 48GBPINNED TO YOU
SHARED CLOUD GPU
Your jobTenant BTenant C
Contention · throttling
Single-tenant means the entire card — all of its VRAM, SM cores and PCIe lanes — answers to one workload: yours. No multi-tenant scheduler, no surprise eviction, no shared memory bus.
CAPABILITIES
What dedicated GPU actually buys you.
1:1
Tenant-to-GPU ratio — the whole card is yours
80 GB
Dedicated HBM per node, never time-sliced
IL
Israeli Tier III data-centre residency
vLLM
Optimised serving for Qwen, Llama & Mistral
These are infrastructure capabilities, not customer benchmarks. Throughput and latency depend on your model, batch size and quantisation — we size the node with you before any proposal.
RESERVE CAPACITY
Your model deserves its own hardware.
Tell us the model and the workload. We will size a single-tenant GPU node and return a proposal — no shared silicon, no data leaving your jurisdiction.