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.
Instant access to T4, L4, and L40 GPUs
Pay-as-you-go or reserved capacity options
Compatible with popular AI/ML frameworks
Launch via dashboard or infrastructure API
Encrypted, isolated, and scalable GPU workloads
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
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
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.
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
Enterprise GPU
Consumer GPU
Pricing Mode
24 vCPUs
48 vCPUs
16 vCPUs
32 vCPUs
32 vCPUs
48 vCPUs
80 vCPUs
| vCPUs | Memory (GB) | GPU | NVMe (GB) | Hourly Price (USD) |
|---|---|---|---|---|
| 24 | 92 GB | 1 x L4 24 GB | 400 GB | $1.25 |
| 48 | 192 GB | 2 x L4 24 GB | 800 GB | $2.5 |
| 16 | 48 GB | 1 x T4 16 GB | 400 GB | $0.35 |
| 32 | 96 GB | 2 x T4 16 GB | 640 GB | $0.6 |
| 32 | 192 GB | 1 x L40S 48 GB | 1400 GB | $1.65 |
| 48 | 384 GB | 2 x L40S 48 GB | 2400 GB | $4.2 |
| 80 | 1024 GB | 4 x L40S 48 GB | 4800 GB | $8 |
Pricing Mode
AMD RYZEN 3900X
AMD RYZEN 5900X
AMD Ryzen™ 9 7950X3D 16C | 32T
AMD TR PRO 7965WX 24C | 48T
AMD TR PRO 7965WX 24C | 48T
AMD TR PRO 7975WX 32C | 64T
AMD TR PRO 7975WX 32C | 64T
AMD TR PRO 7985WX 64C | 128T
AMD TR PRO 7995WX 96C | 192T
AMD TR PRO 7995WX 96C | 192T
| CPU | Memory | Base Clock | Boost | Disk | GPU | Hourly Price (USD) |
|---|---|---|---|---|---|
| AMD RYZEN 3900X | 64 GB | 3.8 GHZ | 4.6 GHZ | 2×2TB | NVIDIA RTX 2080Ti | $0.58 |
| AMD RYZEN 5900X | 64 GB | 3.7 GHZ | 4.8 GHZ | 2×2TB | RTX 4080 | $0.75 |
| AMD Ryzen™ 9 7950X3D 16C | 32T | 128 GB | 4.2 GHZ | 5.7 GHZ | 2×4TB | NVIDIA T1000-8GB | $0.78 |
| AMD TR PRO 7965WX 24C | 48T | 128 GB | 4.2 GHZ | 5.3 GHZ | 2×256 | 2×4TB | 1×NVIDIA RTX™ A4000 16GB GDDR6 | $1.11 |
| AMD TR PRO 7965WX 24C | 48T | 256 GB | 4.2 GHZ | 5.3 GHZ | 2×256 | 2×4TB | 2×NVIDIA RTX™ A4000 16GB GDDR6 | $1.60 |
| AMD TR PRO 7975WX 32C | 64T | 128 GB | 4 GHZ | 5.3 GHZ | 2×512 | 2×4TB | 1×NVIDIA RTX™ A4000 16GB GDDR6 | $1.44 |
| AMD TR PRO 7975WX 32C | 64T | 256 GB | 4 GHZ | 5.3 GHZ | 2×512 | 2×4TB | 2×NVIDIA RTX™ A4000 16GB GDDR6 | $1.77 |
| AMD TR PRO 7985WX 64C | 128T | 512 GB | 3.2 GHZ | 5.1 GHZ | 2×1TB | 4×4TB | 2×NVIDIA RTX™ A5000 32 GB GDDR6 | $3.95 |
| AMD TR PRO 7995WX 96C | 192T | 1024 GB | 2.5 GHZ | 5.1 GHZ | 2×1TB | 4×4TB | 2×NVIDIA RTX™ A5000 32 GB GDDR6 | $4.93 |
| AMD TR PRO 7995WX 96C | 192T | 1024 GB | 2.5 GHZ | 5.1 GHZ | 2×1TB | 4×4TB | 2×NVIDIA RTX™ A6000 48 GB GDDR6 | $5.75 |
Use Cases
- 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)
Pick the instance that matches your workload profile and performance needs.
2. Provision via Dashboard or API
Set up GPU resources in minutes through the Taikun dashboard or API interface.
3. Deploy Your Framework
Run workloads using your preferred stack: TensorFlow, PyTorch, CUDA, or other AI/ML tools.
4. Scale When Needed
Easily scale up or out with multi-GPU support or by switching to larger instance types.
5. Monitor Usage
Track GPU utilization, memory, and runtime performance through built-in monitoring dashboards.
6. Optimize Billing
Review live GPU usage data and optimize costs by switching to reserved pricing options where appropriate.
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