Proud member of the NVIDIA Inception Program
Single-tenant NVIDIA GPU servers with private deployments, predictable pricing, and zero noisy neighbors. Your AI workloads deserve infrastructure that performs.
Proud member of the NVIDIA Inception Program
Platform
Purpose-built GPU clusters designed for the demands of modern AI training and inference workloads.
Single-tenant GPU servers with zero resource contention. Your workloads run on hardware exclusively allocated to you.
Skip the months-long procurement cycles. We handle provisioning, networking, and setup so your team can focus on the workload.
Transparent, fixed monthly costs. No surprise bills, no hidden egress fees, no complex metering.
SOC 2 compliant infrastructure with private networking, encryption at rest, and dedicated security controls.
400Gb/s InfiniBand and NVLink connectivity for multi-node training workloads requiring maximum throughput.
Dedicated solutions engineers who understand your workloads. Direct access, not ticket queues.
Managed Platform
Anyone can hand you bare metal. We hand you a running platform. Managed Kubernetes and Slurm, a pre-tuned ML stack, and observability come ready out of the box — so your team ships models instead of wrangling drivers.
Production-grade Kubernetes with the GPU operator, drivers, and networking pre-configured. Deploy workloads with kubectl on day one.
A fully managed Slurm scheduler for HPC-style training jobs — queue, prioritize, and scale multi-node runs without standing up your own cluster.
CUDA, NCCL, drivers, and popular frameworks (PyTorch, vLLM, TensorRT-LLM) come installed and tuned for the interconnect — no environment setup.
GPU utilization, job metrics, and node health dashboards from the first login. See exactly what your training run is doing.
You bring the workload. We manage every layer beneath it — or hand you root access to the bare metal if you'd rather run your own stack.
Solutions
Whether you're training frontier models or serving millions of inference requests, we build the cluster to match.
Starting with healthcare
We partner with healthcare organizations to deliver HIPAA-compliant GPU infrastructure for medical imaging, oncology research, and clinical decision support — backed by the NVIDIA Clara stack and reaching a network of over 50,000 clinics and medical offices.
Infrastructure
Access the most powerful GPU hardware available, deployed in purpose-built facilities with enterprise-grade networking.
LatestBlackwell Ultra rack-scale system — our flagship for the largest training and inference workloads
Memory
Up to 21TB
Interconnect
NVLink 5
Performance
1.5× GB200
Grace Blackwell rack-scale architecture for the most demanding distributed training
Memory
Up to 13.5TB
Interconnect
NVLink 5
Performance
1.4 ExaFLOPS
PopularBlackwell Ultra 8-GPU systems optimized for large-scale inference and training
Memory
2.3TB HBM3e
Interconnect
NVLink
Performance
Blackwell Ultra
High-performance Blackwell GPUs for large-scale training and inference
Memory
1.4TB HBM3e
Interconnect
NVLink
Performance
Blackwell
Proven Hopper architecture with expanded memory for large model inference
Memory
141GB HBM3e
Interconnect
NVLink
Performance
989 TFLOPS
Industry-standard GPU for training and inference at scale
Memory
80GB HBM3
Interconnect
NVLink
Performance
989 TFLOPS
Why Comet
We built Comet Compute because teams building AI deserve better than fighting for shared resources on legacy cloud platforms.
Customers
From clinical AI to frontier model training, teams choose Comet when performance and predictability matter.
“Comet got us a dedicated GB300 cluster while we'd been stuck on a hyperscaler waitlist for months. The performance difference on multi-node training was night and day.”
“Single-tenant hardware means our training runs are perfectly reproducible. No noisy neighbors, no surprise throttling. The predictable monthly cost made budgeting trivial.”
“Their team understands HIPAA at a depth we hadn't seen from any cloud provider. The BAA was signed before we even finished scoping. That's why we moved our clinical workloads over.”
Talk to our team about dedicated GPU infrastructure tailored to your AI workloads. We'll scope your requirements and build the cluster to match.
