Key Specifications
Compare Cloud Provider Prices
The T1000 is available at 1 cloud provider for a flat rate of $0.17/hr per GPU.
How we sort results
Default ranking
Our algorithm weighs five factors to find the most relevant matches for you:
- Price: We blend total hourly price with price-per-GPU to balance affordability and value.
- Specs: We favor offers with higher CPU, RAM, and GPU Memory.
- Billing: We favor on-demand billing for simplicity and flexibility over spot instances, reservations, and custom quotes.
- Location: We blend both datacenter proximity and provider HQ location. Datacenter location matters for latency, while HQ location matters for compliance and support.
- Provider diversity: Each time a provider appears in the list, their subsequent offerings are ranked a little lower, so one provider's offerings don't crowd out the top positions.
Sorting and filtering
Click any column header to sort by that column. Use the filters above the table to narrow results by billing type, GPU count, vCPUs, or RAM. Custom sorting resets the default relevance ranking.
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| Provider | GPUs | Total VRAM | vCPUs | RAM | Billing | $/GPU/h | Total/h | Availability | |
|---|---|---|---|---|---|---|---|---|---|
Database Mart
|
1x T1000 1x T1000 4GB (Basic Dedicated GPU Server - T1000) | 4GB | 8 | 64GB | Reserved (1mo) Reserved capacity with a 1-month minimum commitment. | $0.17 | $0.17 | Unknown | View |
| No offerings matching your filters. | |||||||||
Heads up: We do our best to keep these prices accurate. However, cloud costs may fluctuate based on region, usage, and other factors not listed here. These are estimates based on common setups and are for informational purposes only. Always verify current rates with the provider before provisioning.
Frequently Asked Questions
Why choose the T1000?
4GB or 8GB GDDR6. Compact Turing professional GPU for entry-level visualization and light compute.
When is the T1000 not a good fit?
Very limited compute. Only viable for multi-display setups, basic visualization, or lightweight video processing.
Are T1000 prices going up or down?
On-demand pricing has decreased by about 15% since May 2025, dropping from $0.17 to $0.14/hr per GPU.
What size AI models can the T1000 run?
With 4GB of VRAM, the T1000 is mainly limited to small quantized models and lightweight GPU workloads.
How much VRAM does the T1000 have?
The T1000 has 4GB of VRAM. Multi-GPU setups increase total memory, but that memory is not automatically pooled across GPUs.
What is the T1000's memory bandwidth?
The T1000 has 160 GB/s of memory bandwidth. Higher bandwidth helps with faster data transfer between GPU memory and compute cores.
What data types does the T1000 support?
The T1000 supports 3 precision formats. Training: FP16, FP32. Inference: INT8.
Does the T1000 support NVLink?
No. The T1000 is a PCIe-only GPU with no NVLink, so it is better suited to single-GPU inference and smaller-scale workloads than large distributed training jobs.
How much does the T1000 cost per hour?
T1000 pricing is currently $0.17/hr per GPU.
How much does the T1000 cost per month?
At 720 hours per month, one T1000 currently costs about $119.02/mo.
Which cloud providers offer the T1000?
The T1000 is available from 1 cloud provider: Database Mart.
Can I rent the T1000 in the cloud?
Yes. We currently track 1 T1000 listings across 1 cloud providers:
Billing type Listings Avg $/GPU/hr Reserved 1 $0.17/hr
Technical Specifications
| Feature | Specification |
|---|---|
| NVIDIA CUDA Cores | 896 |
| GPU Memory | 4 GB GDDR6 |
| Memory Interface | 128-bit |
| Memory Bandwidth | Up to 160 GB/s |
| Single-Precision Performance | Up to 2.5 TFLOPS |
| Max Power Consumption | 50 W |
| System Interface | PCI Express 3.0 x 16 |
| Graphics APIs | DirectX 12.07, Shader Model 5.17, OpenGL 4.68, Vulkan 1.2 |
| Compute APIs | CUDA, DirectCompute, OpenCL™ |
Source: official Nvidia T1000 datasheet.
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