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NVIDIA Tesla T4 Server
NVIDIA Tesla T4 Server is the most affordable data center GPU cloud server available from Immers Cloud. At just $0.23/hr, the Tesla T4 is optimized for inference workloads with its low power consumption and INT8/FP16 Tensor Cores.
Specifications
| Component | Specification |
|---|---|
| GPU | NVIDIA Tesla T4 (Turing architecture) |
| VRAM | 16 GB GDDR6 |
| CUDA Cores | 2,560 |
| Memory Bandwidth | 320 GB/s |
| INT8 Performance | 130 TOPS |
| FP16 Performance | 65 TFLOPS |
| TDP | 70W |
| Starting Price | From $0.23/hr |
Performance
The Tesla T4 was designed from the ground up for inference, not training:
- 70W TDP — lowest power consumption of any data center GPU
- 130 TOPS INT8 — excellent for quantized inference
- 16 GB GDDR6 — sufficient for most inference models
- Turing Tensor Cores — FP16, INT8, INT4 acceleration
The T4 is not suitable for training large models — its 2,560 CUDA cores and 320 GB/s bandwidth are far below training-oriented GPUs. However, for inference it punches well above its price:
- Runs BERT-class models at high throughput
- Handles computer vision inference efficiently
- Supports TensorRT optimization for maximum inference speed
- INT8 quantization achieves near-FP16 accuracy at 2x throughput
Best Use Cases
- Production inference serving (highest cost efficiency)
- API endpoints for ML models
- Real-time NLP inference (sentiment analysis, text classification)
- Computer vision inference (object detection, OCR)
- Edge-like inference at data center reliability
- Batch inference processing
- ML model serving with TensorRT optimization
Pros and Cons
Advantages
- $0.23/hr — cheapest data center GPU available
- 70W TDP — extremely power efficient
- ECC GDDR6 for data integrity
- 130 TOPS INT8 — excellent inference throughput
- 16 GB VRAM handles most inference models
- Data center-grade reliability
Limitations
- Not suitable for model training (too slow)
- Only 2,560 CUDA cores
- 320 GB/s memory bandwidth is limited
- Older Turing architecture
- No NVLink support
- FP32 performance is poor
Pricing
Available from Immers Cloud starting at $0.23/hr — the lowest price in the entire GPU lineup. Monthly cost for 24/7: approximately $166. Unbeatable for always-on inference.
Recommendation
The NVIDIA Tesla T4 Server is the ultimate budget inference GPU. If you're deploying ML models to production and need the lowest possible per-query cost, the T4 with TensorRT optimization is the clear winner. Do NOT use this for training — even a NVIDIA RTX 3080 Server at $0.48/hr will train 5–10x faster. For inference with more VRAM, see the NVIDIA Tesla A2 Server or NVIDIA Tesla A10 Server.