Rent a TATC-operated physical GPU server with single-tenant capacity, remote full-machine access and infrastructure support.
Dedicated hardware provides isolated compute capacity, administrative access and whole-node resources for enterprise workloads.
TATC provides the GPU server rental service and remains responsible for its physical equipment and operations.
At colocation sites, TATC rents rack space, power, cooling and related facility services from the data-centre operator. A TATC-owned data centre is a separate future plan.
TATC owns and deploys the GPU equipment and handles physical installation, hardware maintenance and infrastructure operations.
The customer rents an entire single-tenant server, manages its applications and workload data remotely, and leaves physical hardware operations to TATC.
Displayed GPU-hour rates and whole-server specifications are references for comparing possible configurations. Actual hardware, deployment, access, billing method and price depend on the customer's requirements and are specified in the customer contract.
Read the contract pricing approach in DocsRTX 5090, RTX PRO 6000 and H100 are listed as current bare-metal options; deployment capacity varies with hardware availability.
Illustrative whole-server configuration. Component combinations vary by GPU edition, server platform and available deployment capacity; manufacturer GPU figures are not a performance commitment for a TATC deployment.
32GB GDDR7 Blackwell GPU with 21,760 CUDA cores for AI, content creation and graphics workloads
Reference rate only. Actual configuration, billing method and total price are set in the customer contract.
96GB GDDR7 Blackwell-architecture GPU — high-density inference and AIGC acceleration
Reference rate only. Actual configuration, billing method and total price are set in the customer contract.
80GB HBM3 Hopper accelerator for large-scale AI training, inference and HPC workloads
Reference rate only. Actual configuration, billing method and total price are set in the customer contract.
Compare the memory capacity, architecture and workload fit of AMD Instinct MI355X and NVIDIA HGX B300 accelerators.
Roadmap status and manufacturer specifications do not represent available capacity or a committed delivery date.
288GB HBM3E accelerator with fourth-generation AMD CDNA architecture for generative AI, training, inference and HPC
Eight-GPU Blackwell Ultra platform with 2.1TB HBM3E for AI reasoning, training and inference
Compare GPU memory, server capacity, networking and software-stack options for your workload.