Private AI compute, delivered in weeks
Private AI compute, delivered in weeks
Dedicated NVIDIA GPU Servers
Dedicated NVIDIA GPU Servers
Dedicated NVIDIA GPU Servers
Single-tenant GPU servers for companies that need serious AI performance without using AWS.
Comet Compute delivers private NVIDIA GPU servers
for AI workloads.
Comet Compute delivers private
NVIDIA GPU servers
for AI workloads.
Your servers exclusive for you
Your servers exclusive for you
Your servers exclusive for you
No sharing. No cloud congestion. No surprises.
No sharing. No cloud congestion.
No surprises.
No sharing. No cloud congestion. No surprises.
Companies need professional AI infrastructure without professional IT departments. Buying servers means months of delays, massive upfront costs, and hiring IT staff to manage everything.
Companies need professional AI infrastructure without professional IT departments. Buying servers means months of delays, massive upfront costs, and hiring IT staff to manage everything.
We install and manage everything so you can focus on building.
We install and manage everything so you can focus on building.
Tailor-made servers, just for your business
Tailor-made servers, just for your business
Tailor-made servers, just for your business
Comet operates dedicated GPU clusters for mid-market AI teams. We deploy NVIDIA B300 and GB200 servers exclusively for your workloads in enterprise-grade data centers.
Comet operates dedicated GPU clusters for mid-market AI teams. We deploy NVIDIA B300 and GB200 servers exclusively for your workloads in enterprise-grade data centers.
Comet operates dedicated GPU clusters for mid-market AI teams. We deploy NVIDIA B300 and GB200 servers exclusively for your workloads in enterprise-grade data centers.
Dedicated hardware
Single-tenant clusters with zero resource sharing. Full GPU performance, always.
Fast deployment
Predictable economics
Dedicated hardware
Single-tenant clusters with zero resource sharing. Full GPU performance, always.
Fast deployment
Predictable economics
Dedicated hardware
Single-tenant clusters with zero resource sharing. Full GPU performance, always.
Fast deployment
Predictable economics
For teams that need flexibility or are scaling up
For teams that need flexibility or are scaling up
For teams that need flexibility or are scaling up
For customers to start quickly and graduate into private clusters as their workloads grow.
For customers to start quickly and graduate into private clusters as their workloads grow.
For customers to start quickly and graduate into private clusters as their workloads grow.
Private GPU Clusters
Private GPU Clusters
On-demand
GPU access
On-demand
GPU access
High-speed
storage and caching
High-speed
storage and caching
Why not AWS?
Why not AWS?
AWS is built for massive companies with significantly budget
AWS is built for massive companies with significantly budget
Shared, multi-tenant GPU instances
Shared, multi-tenant GPU instances
Long wait times for capacity
Long wait times for capacity
Opaque pricing and egress fees
Opaque pricing and egress fees
One-size-fits-all support
One-size-fits-all support
SMBs are low priority
SMBs are low priority
Comet Compute is built for small and mid-market teams that need
Comet Compute is built for small and mid-market teams that need
faster access to GPUs
faster access to GPUs
dedicated hardware
dedicated hardware
predictable costs
predictable costs
real Human support
real Human support
Independent doctor offices are adopting enterprise AI tools built on NVIDIA’s Clara healthcare AI stack, but require HIPAA-compliant, dedicated GPU compute to run them reliably.
Independent doctor offices are adopting enterprise AI tools built on NVIDIA’s Clara healthcare AI stack, but require HIPAA-compliant, dedicated GPU compute to run them reliably.
Our focus is healthcare with direct relationships with over 50,000 oncology clinics and medical offices, where teams have large data sets and strict requirements, but can’t wait on hyperscalers.
Our focus is healthcare with direct relationships with over 50,000 oncology clinics and medical offices, where teams have large data sets and strict requirements, but can’t wait on hyperscalers.
