Compute
Frontier NVIDIA GPUs for training, fine-tuning, and inference. Single-GPU instances through multi-node clusters — matched to your workload.
RTX PRO 6000
Blackwell efficiency
The efficient entry into Blackwell. Ideal for inference at scale, rendering, and cost-conscious fine-tuning.
- Memory96 GB GDDR7
- ArchitectureBlackwell
- InterfacePCIe 5.0
- Form factorWorkstation / server card
BEST FOR
High-throughput inference, batch workloads, visual computing, smaller-model fine-tuning.
H200
Hopper workhorse
Proven Hopper performance with expanded memory. Delivered as full server systems — the workhorse for training and large-model inference.
- Memory per GPU141 GB HBM3e
- ArchitectureHopper
- DeliveryFull server systems
- InterconnectNVLink
BEST FOR
Model training, high-context LLM inference, memory-bound workloads.
B300
Blackwell Ultra
Maximum throughput for frontier-scale training and reasoning workloads.
- PlatformHGX B300
- ArchitectureBlackwell Ultra
- MemoryUltra-high-bandwidth HBM3e
- PrecisionFP4 acceleration
BEST FOR
Frontier training, large-cluster deployments, reasoning-model inference.
Deployed across Tier III/IV colocation facilities. Region and data-residency options available on request.
Not sure which tier fits?
Tell us about your workload and we'll recommend a configuration.