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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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  • AIGC

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  • News
  • Events

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  • Docs

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  • About Us
  • Responsible Use
  • Contact Us

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  1. Services
  2. /Bare Metal
  3. /NVIDIA RTX PRO 6000
NVIDIA

NVIDIA RTX PRO 6000

96GB GDDR7 Blackwell-architecture GPU — high-density inference and AIGC acceleration

Reference GPU-hour unit rate for full-server rental

$1.95/GPU-hour

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

Compare GPU models

A high-memory bare-metal platform built around NVIDIA RTX PRO 6000 Blackwell GPUs, with 96GB GDDR7 per GPU for 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
96GB GDDR7
1.8 TB/s bandwidth
Architecture
Blackwell
Family · NVIDIA RTX PRO
AI compute
4000 AI TOPS
FP32: 125 TFLOPS
Power
600W
Manufacturer specification

Highlights

  • 96GB GDDR7 with 1.8 TB/s memory bandwidth
  • 4000 AI TOPS and 125 TFLOPS FP32
  • 600W TDP for high-memory AI, rendering and simulation workloads

Software stack

CUDA 12.x
PyTorch 2.x
Triton
vLLM

Best-fit scenarios

  • LLM inference (70B-class models fully in VRAM)
  • AIGC image / video generation
  • Small-model fine-tuning
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 RTX PRO 6000 and server system

RTX PRO 6000 product and multi-GPU server views show the bare-metal platform components used for high-memory AI workloads.

NVIDIA RTX PRO 6000 product view
Rear expansion view of a multi-GPU server system
Cooling and power view of a multi-GPU server system

Explore NVIDIA RTX PRO 6000 Bare Metal

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

Compare GPU models