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TATC

Advanced Computing for Southeast Asia

9/11 Moo 12, Khlong Song, Khlong Luang District, Pathum Thani 12120, Thailand
info@tatc.cloud

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  1. Services
  2. /Bare Metal
  3. /NVIDIA GeForce RTX 5090
NVIDIA
Popular

NVIDIA GeForce RTX 5090

32GB GDDR7 Blackwell GPU with 21,760 CUDA cores for AI, content creation and graphics workloads

Reference GPU-hour unit rate for full-server rental

$0.85/GPU-hour

Reference rate only. Actual configuration, billing method and total price are set in the customer contract.

Compare GPU models

A dedicated bare-metal platform built around GeForce RTX 5090 GPUs, with 32GB GDDR7 per GPU for AI inference, content generation and model adaptation.

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.

Memory
32GB GDDR7
1792 GB/s bandwidth
Architecture
Blackwell
Family · GeForce RTX 50 Series
AI compute
3352 AI TOPS
FP4 with sparsity · FP32: 104.8 TFLOPS
Power
575W
Manufacturer specification

Highlights

  • 32GB GDDR7 with 1792 GB/s memory bandwidth
  • 3352 AI TOPS (FP4 with sparsity) and 104.8 TFLOPS FP32
  • 21,760 CUDA cores, 680 fifth-generation Tensor Cores and 575W TGP

Software stack

CUDA 12.8+
PyTorch 2.8+
Triton
vLLM
TensorRT-LLM

Best-fit scenarios

  • High-throughput LLM inference (7B–70B with offloading)
  • AIGC image / video generation
  • Single-node fine-tuning and LoRA training
Dedicated server configuration
Bare Metal

Customers use the entire server remotely while TATC owns, deploys and maintains the physical equipment and infrastructure.

Contact UsBack to Bare Metal

Hardware gallery

NVIDIA GeForce RTX 5090 and server system

Product, platform feature and server-system views show the RTX 5090 bare-metal components used for inference, content generation and model adaptation.

Explore NVIDIA GeForce RTX 5090 Bare Metal

Share your workload profile to compare GPU memory, server capacity, networking and software-stack options.

Compare GPU models