JOB-01
LLM inference
vLLM, TGI, TensorRT-LLM. Token-billed, endpoint-based, or pinned-GPU.
Zming Technology
GPU cloud for AI workloads.
Bare-metal GPU servers, managed inference, and model hosting — plus third-party GPU maintenance so capacity and uptime stay within reach.
Operator-run infrastructure
Quoted in USD
No training on Customer Content
SAS Nagar · Ithaca
Facilities2 compute centersSAS Nagar · Ithaca, NY
GPU optionsRTX PRO · H100 · H200 · B200Available, reserved, or procurement
Ops24/7 responseBreak/fix & remote hands
Fleet1000+ GPUs deployed99.99% SLA target
Inventory
Live capacity
Public availability changes frequently across zm-in-1 and zm-us-1. For reserved capacity, contact us for current inventory, term pricing, and deployment timelines.
| GPU class | Status | Best for |
|---|---|---|
| RTX PRO 6000 Blackwell | Available · private capacity | Inference, rendering, CUDA, model hosting |
| H100 / H200 | Reserved · on request | Training, fine-tuning, high-throughput inference |
| B200-class systems | Procurement-based | Frontier model training and large-scale inference |
| GB200 / NVL-class systems | Large reserved deployments | Rack-scale AI infrastructure |
Availability depends on procurement, reservation term, cooling, and schedule. Legacy A100-class capacity may be available on request.
Platform
What runs here.
Inference, fine-tuning, rendering, CUDA/HPC, model hosting, and private AI deployments — served from both compute centers.
JOB-02
Fine-tuning
Full-parameter, LoRA, and QLoRA on reserved Hopper or Blackwell-class capacity.
JOB-03
Batch AI jobs
Overnight runs, queued jobs, and scheduled compute. Billed per GPU-hour or reserved term.
JOB-04
Computer vision
YOLO, DINO, SAM, custom CNNs. Single-node or pipeline.
JOB-05
Rendering
Octane, Redshift, Blender Cycles, and GPU rendering on RTX-class infrastructure.
JOB-06
CUDA / HPC
Direct CUDA, NVLink-capable systems, high-speed networking, and bare-metal access where available.
JOB-07
Managed endpoints
Your model, our serving stack, private API endpoint.
JOB-08
Private AI deployments
Dedicated infrastructure. Your weights, your data — never shared, never used for training.
Frameworks: PyTorch · JAX · TensorFlow · vLLM · TGI · TensorRT · Triton · Ray
Delivery
Three ways to run.
From hardware you can SSH into, to a single HTTPS call — same operator, one billing entity.
01 · Bare-Metal GPU Cloud
Dedicated servers with root access
For teams that need full control: training, multi-node clusters, custom kernels.
- Dedicated RTX PRO, Hopper, or Blackwell-class GPU servers
- Root access and single-tenant deployment options
- NVLink / high-speed networking where available
- Hourly, monthly, or reserved capacity
From quote / GPU · hr
02 · Managed Inference
Private model endpoints
Host open-source or custom models behind private APIs. We run the serving stack; your weights stay yours.
- Private API endpoints
- vLLM, TGI, TensorRT-LLM
- p50 / p95 latency reporting where available
- Autoscale or pinned-GPU deployment options
03 · Model-as-a-Service
Ready-to-call models
LLMs, diffusion, embedding, and vision models — hosted inference without managing the stack.
- Llama, Qwen, Mistral, embeddings, vision, diffusion
- Hosted inference endpoints
- Token billing or private endpoint pricing
- Customer Content is not used for training
Why Zming
AI compute without hyperscale procurement.
✓
Operator-run GPU compute and inference infrastructure
✓
Bare-metal control with dedicated deployment options
✓
Managed inference for open-source and customer models
✓
Clear billing — hourly, monthly, reserved, and token-based
✓
No training on Customer Content by default
✓
Direct operator support + GPU fleet maintenance
Commercial
Same operator, four contracts.
Pick the model that matches your workload. Switch later — billing rolls up to one entity.
01 · Dedicated GPU server
Hourly · pay-as-you-go
Hourly · pay-as-you-go
02 · Reserved GPU capacity
Monthly · annual · custom term
Monthly · annual · custom term
03 · Managed model endpoint
Per-request · autoscaling
Per-request · autoscaling
04 · Public API
Token billing
Token billing
Example · reserved capacity
| Regions | zm-in-1 (SAS Nagar) · zm-us-1 (Ithaca, NY) |
| GPU | RTX PRO 6000 Blackwell, H200, or B200-class systems |
| Topology | Single-node, multi-node, NVLink-capable, or high-speed fabric |
| CPU · RAM | Configured to workload requirements |
| Storage | Local NVMe or reserved shared storage |
| Network | Dedicated bandwidth options available |
| Term | Monthly, annual, or custom reserved term |
Quote · USD
Service agreements and itemized invoices available on request.
Finance
Compute that finance can file.
Paperwork for budgeting, procurement, and rebate applications.
Service agreement
Clear scope, term, region, deliverables.
Itemized invoices
GPU-hours, model calls, storage — line by line.
Workload description
What ran, when, on which hardware.
Usage records
CSV export for internal and grant applications.
Your data is not our training data.
Zming does not use Customer Content to train Zming or third-party models unless you expressly agree in writing. Customer Content includes prompts, outputs, files, model weights, training and fine-tuning data, hosted workloads, and other materials submitted to or generated through the Services.
Sites
Compute centers.
Operator-run and partner-supported deployments, with GPU maintenance for the same fleet.
ONLINE
PNJ-01 · zm-in-1
SAS Nagar, Punjab
Pannu Tower, Sector 73, SAS Nagar, Punjab 160055
ONLINE
NY-01 · zm-us-1
Ithaca, New York
95 Brown Rd, Ithaca, NY 14850
GPU SKUs (RTX PRO 6000 Blackwell · H100/H200 · B200-class) are quoted per site and reservation term.
Stories
Customer & partner cases.
Representative deployments and channel collaborations. Metrics are illustrative of outcomes we support.
LLM startups
Robotics & vision
Media / rendering
Enterprise IT
Research labs
Channel / SI
Customer stories
CASE · 01
Generative AI · Inference
Private vLLM endpoints for a product launch
A SaaS team needed H100 inference without a hyperscale sales cycle. Zming stood up pinned-GPU endpoints with p95 latency reporting and reserved capacity for launch week.
- 8× H100 reserved · 90 days
- < 2 days to first endpoint
- Zero training on Customer Content
CASE · 02
Industrial AI · Fine-tuning
LoRA fine-tunes on reserved Hopper capacity
An industrial robotics company ran overnight QLoRA jobs on reserved H200 nodes, with itemized GPU-hour invoices for procurement and cost allocation.
- 4× H200 monthly reserved
- CSV usage exports for finance
- SSH bare-metal control
CASE · 03
Ops · GPU Maintenance
Post-warranty break/fix for a dense GPU rack
When OEM queues stretched days, Zming provided 7×24×4 parts and on-site engineers for NVLink and PSU failures — extending fleet life past EoSL without an emergency refresh.
- 7×24×4 SLA
- First-visit oriented fixes
- Spare pool for critical SKUs
Partnerships
PARTNER · 01GPU supply · Neocloud
Regional capacity with a Tier III+ partner DC
Jointly listed H100 / H200 inventory under one commercial front door — Zming quoting and support; partner rack power and fabric.
PARTNER · 02Inference platform
Managed endpoints for an ISV model catalog
White-label private endpoints behind a partner marketplace — customer weights retained; Zming runs vLLM / TGI.
PARTNER · 03Systems integrator
DGX-class delivery + rack commissioning
Turnkey GPU nodes with an SI: factory systems, racking, bring-up, then handoff to Zming 24/7 ops.
“We needed capacity and paperwork in the same week — not a six-month cloud enterprise deal. Zming quoted reserved GPUs, stood up endpoints, and sent invoices finance could actually file.”
— Infrastructure lead, AI product company
FAQ
Questions teams ask first.
Can we rent H100 / H200 without a long contract?
Yes. On-demand and short reserved terms are available depending on inventory. For guaranteed stock, we recommend a monthly or custom reserved term.
Where are the compute centers?
zm-in-1 — Pannu Tower, Sector 73, SAS Nagar, Punjab 160055. zm-us-1 — 95 Brown Rd, Ithaca, NY 14850. Commercial office: 25852 Daily Ashford, Houston, TX 77042.
Do you support custom Docker images and root access?
Bare-metal and dedicated nodes can include SSH/root and custom containers. Managed endpoints keep the serving stack with us while your weights stay yours.
Is Customer Content used for training?
No — not by default. Zming does not train on Customer Content unless you expressly agree in writing.
What GPU maintenance SLAs are available?
Common packages include 7×24×4, 5×9×4, next-business-day, and custom SLAs by device criticality.
Can finance get usage documentation?
Yes. Service agreements, itemized invoices, workload descriptions, and CSV usage records are available on request.
GPU Maintenance
Keep dense GPU fleets online.
Third-party break/fix, parts, and on-site ops for GPU-powered servers — post-warranty and EoSL friendly.
Break / fix & parts
GPU, PSU, NVLink bridge, and chassis components with SLA-driven dispatch.
On-site & remote hands
24×7 escalation, rack-level troubleshooting, First-Time Fix oriented workflows.
Post-warranty & EoSL
Extend useful life past OEM coverage so you refresh on your schedule.
Deployments & cooling
GPU-dense rack builds, cabling, and high-density cooling coordination.
Need reserved GPU capacity?
Reserved clusters, private inference endpoints, Blackwell procurement, or fleet maintenance — talk to Zming.
Contact
Talk to Zming
Leave your details — we’ll reply within one business day.
- Generalinfo@zming.tech
- Supportsupport@zming.tech
- Office25852 Daily Ashford, Houston, TX 77042
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