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NVIDIA V100 Server
NVIDIA V100 Server is a budget data center GPU cloud server available from Immers Cloud. The V100 was NVIDIA's first Tensor Core GPU and remains viable for many ML workloads at a fraction of the cost of newer GPUs.
Specifications
| Component | Specification |
|---|---|
| GPU | NVIDIA Tesla V100 (Volta architecture) |
| VRAM | 32 GB HBM2 |
| Memory Bandwidth | 900 GB/s |
| FP16 Performance | ~125 TFLOPS |
| FP32 Performance | ~15.7 TFLOPS |
| Interconnect | NVLink 2.0 (300 GB/s) |
| Starting Price | From $1.08/hr |
Performance
The V100 introduced Tensor Cores to the world and proved their value for deep learning. While two generations behind the H100, it still offers:
- 32 GB HBM2 — sufficient for models up to ~13B parameters with quantization
- 1st-gen Tensor Cores with FP16 mixed precision
- 900 GB/s memory bandwidth — adequate for most inference workloads
Performance comparison:
- Roughly 3x slower than A100 for FP16 training
- 5–6x slower than H100 for transformer training
- Still faster than any consumer GPU for sustained compute workloads
- Excellent for inference of small-to-medium models
At $1.08/hr, the V100 costs 55% less than the A100 and 72% less than the H100, making it attractive for budget-conscious ML work.
Best Use Cases
- Budget ML training for smaller models (up to 7B with quantization)
- Inference serving for production models
- ML experimentation and prototyping
- Educational and learning environments
- Classical ML workloads (XGBoost GPU, Random Forests)
- Computer vision inference (YOLO, ResNet, EfficientNet)
- NLP inference for BERT-class models
Pros and Cons
Advantages
- Very affordable at $1.08/hr
- 32 GB HBM2 — more VRAM than consumer GPUs
- Data center-grade reliability (ECC memory)
- Tensor Cores for accelerated ML
- Well-supported across all major frameworks
Limitations
- Only 32 GB VRAM limits model size
- Two generations behind current (Volta vs Hopper)
- No TF32, BF16, FP8, or INT8 Tensor Core support
- Lower memory bandwidth than A100/H100
- No Multi-Instance GPU support
Pricing
Available from Immers Cloud starting at $1.08/hr. Monthly cost for 24/7: approximately $778. An excellent entry point for data center GPU compute.
Recommendation
The NVIDIA V100 Server is the budget data center GPU choice. It's perfect for startups and researchers who need real Tensor Core performance but can't justify A100/H100 pricing. Ideal for inference, small model training, and prototyping. When you outgrow the V100's 32 GB VRAM or need newer precision formats, upgrade to the NVIDIA A100 Server.