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Accelerated Cloud GPUs for AI, ML & Rendering Workloads

Unlock high-performance compute for inference, training, and graphics workloads using Onemind’s cloud-native GPU infrastructure. Choose from T4, L4, and L40 GPU instances—scalable on-demand through Taikun platform.

High-Performance GPU Compute, Delivered from the Cloud

Provision GPU-optimized infrastructure instantly through Taikun. Ideal for teams building AI applications, media pipelines, or 3D visualizations—no hardware maintenance, no scaling headaches.

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Instant access to T4, L4, and L40 GPUs

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Pay-as-you-go or reserved capacity options

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Compatible with popular AI/ML frameworks

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Launch via dashboard or infrastructure API

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Encrypted, isolated, and scalable GPU workloads

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Why Choose OneMind for Cloud GPUs

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    Fully managed GPU infrastructure with low-latency access

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    Scalable from single-GPU to multi-GPU configurations

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    Runs on Taikun — a powerful, flexible cloud platform

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    API-first design for seamless integration into pipelines

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    Dedicated support for performance tuning and cost optimization

GPU Profiles

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T4

(Efficient, Versatile GPU)

GPU Memory

16GB GDDR6

FP32 Performance

8.1 TFLOPS

Max Power Draw

8.1 TFLOPS

Bandwidth

320 GB/s

Ideal For:

AI inference, analytics, interactive apps, and low-latency workloads

Performance Highlights:

Efficient for NLP, vision models, and video processing

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L4

(Balanced Compute for AI & Media)

GPU Memory

24 GB GDDR6

FP32 Performance

30 TFLOPS

Max Power Draw

72W

Bandwidth

300 GB/s

Ideal For:

Balanced compute for AI, rendering, desktop apps

Performance Highlights:

Versatile for mixed AI, 2D/3D workloads, and media tasks.

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L40

(High-End Performance for Deep Learning

GPU Memory

48 GB GDDR6

FP32 Performance

91.6 TFLOPS

Max Power Draw

300W

Bandwidth

900 GB/s

Ideal For:

Heavy-duty training, simulation, generative AI

Performance Highlights:

Optimal for deep learning, 3D workflows, and compute-intensive apps

GPU Pricing

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Enterprise GPU

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Consumer GPU

Pricing Mode

24 vCPUs


Memory: 92 GB
GPU: 1 x L4 24 GB
NVMe: 400 GB
Hourly Price: $1.25

48 vCPUs


Memory: 192 GB
GPU: 2 x L4 24 GB
NVMe: 800 GB
Hourly Price: $2.5

16 vCPUs


Memory: 48 GB
GPU: 1 x T4 16 GB
NVMe: 400 GB
Hourly Price: $0.35

32 vCPUs


Memory: 96 GB
GPU: 2 x T4 16 GB
NVMe: 640 GB
Hourly Price: $0.6

32 vCPUs


Memory: 192 GB
GPU: 1 x L40S 48 GB
NVMe: 1400 GB
Hourly Price: $1.65

48 vCPUs


Memory: 384 GB
GPU: 2 x L40S 48 GB
NVMe: 2400 GB
Hourly Price: $4.2

80 vCPUs


Memory: 1024 GB
GPU: 4 x L40S 48 GB
NVMe: 4800 GB
Hourly Price: $8
vCPUsMemory (GB)GPUNVMe (GB)Hourly Price (USD)
2492 GB1 x L4 24 GB400 GB$1.25
48192 GB2 x L4 24 GB800 GB$2.5
1648 GB1 x T4 16 GB400 GB$0.35
3296 GB2 x T4 16 GB640 GB$0.6
32192 GB1 x L40S 48 GB1400 GB$1.65
48384 GB2 x L40S 48 GB2400 GB$4.2
801024 GB4 x L40S 48 GB4800 GB$8

Have specific requirements? Contact our team for custom builds or enterprise pricing.


Use Cases

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    • Inference Serving : Run real-time vision or NLP models in production.
    • Model Training : Build and train custom AI/ML models with flexible scaling.
    • Generative AI Workloads : Handle compute-heavy image, video, and text generation.
    • 3D Rendering : Accelerate visualization, digital twin, or VFX workloads.
    • Remote Workstations : Deliver virtual desktops with GPU acceleration for creatives.
    • Video Analytics : Process streams for enhancement, detection, or classification.

    Getting Started with GPU Workloads

    1. Choose Your GPU Type (T4, L4, L40)

    1. Choose Your GPU Type (T4, L4, L40)

    Pick the instance that matches your workload profile and performance needs.

    2. Provision via Dashboard or API

    2. Provision via Dashboard or API

    Set up GPU resources in minutes through the Taikun dashboard or API interface.

    3. Deploy Your Framework

    3. Deploy Your Framework

    Run workloads using your preferred stack: TensorFlow, PyTorch, CUDA, or other AI/ML tools.

    4. Scale When Needed

    4. Scale When Needed

    Easily scale up or out with multi-GPU support or by switching to larger instance types.

    5. Monitor Usage

    5. Monitor Usage

    Track GPU utilization, memory, and runtime performance through built-in monitoring dashboards.

    6. Optimize Billing

    6. Optimize Billing

    Review live GPU usage data and optimize costs by switching to reserved pricing options where appropriate.

    Frequently Asked Questions (FAQs)

    Contact Us

    Innovative Tech Solutions and Expert Opinions

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    United States

    Iconsales@onemindservices.com
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