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NVIDIA RTX 4090 Server
NVIDIA RTX 4090 Server is a popular consumer GPU cloud server available from Immers Cloud. The RTX 4090 is the most widely-used consumer GPU for ML workloads, offering an excellent balance of 24 GB VRAM, 16,384 CUDA cores, and Ada Lovelace architecture.
Specifications
| Component | Specification |
|---|---|
| GPU | NVIDIA GeForce RTX 4090 (Ada Lovelace architecture) |
| VRAM | 24 GB GDDR6X |
| CUDA Cores | 16,384 |
| Memory Bandwidth | 1,008 GB/s |
| Tensor Cores | 4th Generation (FP8 support) |
| TDP | 450W |
| Starting Price | From $0.93/hr |
Performance
The RTX 4090 has become the de facto standard for cost-effective ML compute:
- 16,384 CUDA cores with Ada Lovelace architecture
- 4th-gen Tensor Cores supporting FP8, FP16, BF16, TF32
- 24 GB GDDR6X — sufficient for most models up to 13B parameters
- 1,008 GB/s bandwidth — competitive with previous-gen data center GPUs
Performance comparisons:
- ~80% of A100 performance for FP16 training at 61% less cost
- ~2x faster than RTX 3090 across most ML benchmarks
- Can run 7B LLMs at good speed with 4-bit quantization
- Excellent for Stable Diffusion / AI image generation (fastest consumer option)
At $0.93/hr, the RTX 4090 is the most popular GPU for independent ML researchers and small teams.
Best Use Cases
- ML model training and fine-tuning (up to 7B–13B parameters)
- AI image generation (Stable Diffusion, Midjourney-style)
- LLM inference with quantization (GPTQ, AWQ, GGUF)
- Computer vision training and inference
- 3D rendering and real-time ray tracing
- Video AI processing
- Kaggle competitions and ML experimentation
Pros and Cons
Advantages
- $0.93/hr — best performance per dollar for ML
- 24 GB VRAM handles most practical models
- FP8 Tensor Cores (same generation as H100)
- Massive community support and optimization
- Wide framework and model compatibility
Limitations
- 24 GB VRAM limits larger model training
- No ECC memory
- No NVLink support for multi-GPU training
- Consumer-grade reliability
- GDDR6X bandwidth lower than HBM on data center GPUs
Pricing
Available from Immers Cloud starting at $0.93/hr. Monthly cost for 24/7: approximately $670. One of the most cost-effective GPU options available.
Recommendation
The NVIDIA RTX 4090 Server is the top recommendation for most individual ML practitioners and small teams. At under $1/hr with 24 GB VRAM and Ada Lovelace Tensor Cores, it offers unbeatable value. Start here for fine-tuning, inference, and image generation. Only upgrade to data center GPUs (A100, H100) when you need more VRAM, ECC, or multi-GPU NVLink.