TECHBYTES AI SOLUTIONS

Private AI Workstations, GPU Compute Rental & Enterprise AI Servers

Buy dedicated AI hardware, rent GPU compute when you need it, or deploy private enterprise AI infrastructure with TechBytes.

Local and on-premises optionsNVIDIA RTX and RTX PROBuilt and supported in Canada

WHY PRIVATE AI

Why Run AI on Dedicated Hardware?

Dedicated AI infrastructure gives your business predictable access to GPU compute, local data workflows, and a platform that can grow with your team.

Discuss a Private AI System
01

Keep Business Files Local

Supported local workflows can reduce the need to upload sensitive documents to public AI services.

02

Dedicated Performance

Your workstation or server provides dedicated GPU, memory, storage, cooling, and networking resources.

03

Built for Repeated Work

Support document search, drafting, coding, media generation, inference, and other repeatable AI workflows.

04

Scale When You Need To

Start with one workstation, rent extra compute, or deploy multi-GPU infrastructure as demand grows.

BUSINESS VALUE

Put Private AI to Work Every Day

A private AI platform can support repetitive office work, internal knowledge, AI development, media generation, engineering workflows, or shared inference services.

A dedicated platform can reduce repeated cloud delays and give approved workloads predictable access to AI compute.
Tell Us About Your Workload
Private

Local Processing

Run selected models and workflows on hardware controlled by your organization.

On Demand

Rent Extra Compute

Use dedicated GPU capacity without purchasing another system for temporary workloads.

Professional

High-Memory GPUs

Move up to RTX PRO 6000 for 96GB ECC GPU memory per card.

Scalable

Workstation to Server

Choose desktop systems, rental compute, or custom multi-GPU infrastructure.

BUSINESS USE CASES

AI Workloads from Small Business to Professional Teams

The right platform depends on your model, data, users, latency target, software stack, and deployment environment.

Assess Your AI Workload

Private Knowledge and RAG

Search approved policies, manuals, PDFs, product sheets, and internal notes.

AI Development

Develop local inference, coding assistants, agents, image generation, and custom AI applications.

Content and Generative AI

Run image, video, voice, and other GPU-accelerated creative workflows.

Engineering and Visualization

Support GPU-accelerated visualization, simulation, rendering, and professional applications.

Shared Team AI

Provide supported multi-user access to private models, APIs, and internal tools.

Temporary GPU Demand

Rent dedicated RTX 5090 or RTX PRO 6000 compute for projects that do not justify new hardware.

AI WORKSTATION

RTX 5090 Professional AI Workstation

A high-performance desktop platform for local AI, development, content creation, and GPU-accelerated professional workflows.

Professional

RTX 5090 AI Workstation

GeForce RTX 5090 · 32GB GDDR7

Designed for developers, creators, engineers, and advanced users who want maximum GeForce-class local AI performance.

  • 128GB system memory recommended
  • 4TB+ NVMe storage options
  • High-performance CPU platform
  • Premium PSU and thermal design
Request RTX 5090 Quote
GPUGeForce RTX 5090
GPU Memory32GB GDDR7
System Memory64GB–256GB options
Storage2TB–8TB+ NVMe
OSWindows or Linux

PROFESSIONAL AI WORKSTATION

RTX PRO 6000 Blackwell Workstation

A professional single-GPU platform with 96GB of GDDR7 ECC GPU memory for larger models and demanding professional workloads.

96GB GDDR7 ECCSingle-GPU WorkstationProfessional AI and Visualization

Designed for AI development, larger local models, data science, simulation, rendering, generative AI, and multi-application workflows where GPU memory capacity matters.

96GBECC GPU memory per card
GPURTX PRO 6000 Blackwell
System Memory128GB–512GB options
Storage4TB+ NVMe options
OSWindows or Linux
SoftwareCUDA, containers, local AI stack

Final configuration is selected after a workload review.

AI COMPUTE RENTAL

Need GPU Compute Without Buying the Hardware?

Rent dedicated TechBytes GPU capacity for temporary AI projects, inference, development, generation, testing, and other approved workloads.

Talk to TechBytes
High-Performance

RTX 5090 Compute

32GB GDDR7 GPU Memory

Flexible compute for AI inference, image generation, development, testing, and temporary workloads.

  • Dedicated RTX 5090 GPU access
  • Remote access options
  • AI inference and image generation
  • Development and testing
  • Temporary and custom-term workloads
Request RTX 5090 Compute
Rental availability: Capacity, access method, operating system, storage, software, networking, billing interval, and acceptable workload are confirmed during the quote process. Performance varies by model and software stack.

ENTERPRISE AI INFRASTRUCTURE

RTX PRO 6000 Blackwell GPU Servers

Custom rackmount platforms for private model serving, multi-user inference, AI development, rendering, data science, and qualified enterprise workloads.

Talk to an AI Infrastructure Specialist
AI Team / Department

4× RTX PRO 6000 Server

Built with four RTX PRO 6000 Blackwell Server Edition GPUs in a qualified rackmount platform.

4×
384GBAggregate GPU memory
CustomCPU, RAM, storage and network
  • Private multi-user inference
  • Large-model and multi-model workflows
  • RAG, internal AI APIs, and agent services
  • Server-grade system memory and NVMe options
  • High-speed networking options
Request Server Quote
High-Density Infrastructure

8× RTX PRO 6000 Server

High-density private AI infrastructure for demanding, scalable, and shared GPU workloads.

8×
768GBAggregate GPU memory
RackmountQualified server platform
  • Enterprise model serving and distributed inference
  • Multiple teams, models, or isolated services
  • AI development, rendering, and data science
  • High-capacity system RAM and NVMe options
  • Deployment, validation, documentation, and support
Configure a Server
Important: 384GB and 768GB are aggregate totals across multiple 96GB GPUs. Multi-GPU usability depends on the model, framework, parallelization method, and configuration; this is not automatically one shared memory pool.

DEPLOYMENT SERVICES

Hardware Is Only the Beginning

TechBytes can help scope, build, configure, integrate, validate, and support the system around your actual workload.

Plan Your AI Deployment
01

Workload Assessment

Review models, users, data, latency targets, software, deployment location, and future growth.

02

Local AI Installation

Configure supported drivers, CUDA, containers, inference tools, model interfaces, and applications.

03

RAG and Knowledge-Base Setup

Set up supported document-search and RAG workflows using approved company files.

04

Business Document Assistant

Prepare supported private tools for searching, summarizing, and drafting from business documents.

05

Multi-User Deployment

Plan supported web interfaces, APIs, authentication, network access, and user separation.

06

Remote Access

Configure approved remote access around the deployment's security and networking requirements.

07

Workflow Integration

Connect agreed AI services to supported business processes, applications, APIs, and data sources.

08

Validation and Support

Test thermals, stability, storage, networking, and agreed workflows before handoff and support.

HOW IT WORKS

From Workload to Working System

Choose a workstation, rent dedicated compute, or plan enterprise infrastructure around the workload you need to run.

Start a Workload Review
1

Tell Us the Workload

Share the model, applications, users, deployment location, and performance target.

2

Choose Buy or Rent

We help decide between workstation ownership, rented compute, or server infrastructure.

3

Configure and Validate

TechBytes prepares the hardware and agreed supported software stack.

4

Deploy and Support

Arrange handoff, remote access, on-site options, documentation, and support.

TECHBYTES AI INFRASTRUCTURE

Build Your Private AI Infrastructure

Tell TechBytes what you want to run and we can recommend an AI workstation, dedicated rental compute, or multi-GPU enterprise server infrastructure.