Specifications Compared
| Spec | H200 | T4 |
|---|---|---|
| TDP | 700W | 70W |
| VRAM | 141 GB | 16 GB |
| CUDA Cores | 16,896 | 2,560 |
| Memory Type | HBM3e | GDDR6 |
| Architecture | Hopper | Turing |
| Form Factors | SXM, NVL | PCIe |
| Interconnect | NVLink, PCIe 5.0, InfiniBand | |
| Tensor Cores | 528 | 320 |
| FP8 Performance | 3,958 TFLOPS | |
| FP16 Performance | 1,979 TFLOPS | 8.1 TFLOPS |
| FP32 Performance | 67 TFLOPS | 8.1 TFLOPS |
| FP64 Performance | 34 TFLOPS | |
| INT8 Performance | 3,958 TOPS | 130 TOPS |
| Memory Bandwidth | 4,800 GB/s | 320 GB/s |
Performance Analysis
Compute capabilities define primary use cases: the H200 achieves 1979 TFLOPS in FP16 and 67 TFLOPS in FP32, enabling rapid training of large language models, while the T4 delivers 8.1 TFLOPS in both, suiting basic inference. The H200's FP8 performance at 3958 TFLOPS accelerates quantized inference for high throughput. In training scenarios, the FP16 to FP32 ratio on H200 supports mixed-precision workflows efficiently, reducing time for gradient computations compared to T4's balanced but low-output profile. Memory bandwidth profoundly impacts batch sizes: 4800 GB/s on H200 sustains large batches without bottlenecks, ideal for model parallelism, whereas 320 GB/s on T4 restricts to small batches prone to underutilization. Power draw at 700W for H200 demands robust cooling, contrasting T4's 70W efficiency for dense deployments.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
H200 SXM
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Vultr | NVIDIA GH200 Grace Hopper 96GB VRAM | 96GB | 72 vCPU 480GB RAM 960GB Storage | Atlanta | $1.99/GPU/hr | Available | ||
 Lambda Labs | NVIDIA GH200 Grace Hopper 96GB VRAM | 96GB | 64 vCPU 432GB RAM 4096GB Storage | Virginia | $2.29/GPU/hr | Available | ||
 Nebius | NVIDIA H200 SXM 141GB VRAM | 141GB | 16 vCPU 200GB RAM | 🌍Europe | $2.45/GPU/hr | |||
 CoreWeave | 8×NVIDIA H200 SXM 141GB VRAM | 141GB | 128 vCPU 0GB RAM 61440GB Storage | United States | $2.58/GPU/hr $20.64/hr total (8×) | |||
 Ori | 4×NVIDIA H200 SXM 141GB VRAM | 141GB | 96 vCPU 960GB RAM 12000GB Storage | London | $3.50/GPU/hr $14.00/hr total (4×) | Available |
Tesla T4
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 AWS | NVIDIA Tesla T4 16GB VRAM | 16GB | 4 vCPU 16GB RAM | Virginia | $0.53/GPU/hr | |||
AWS | NVIDIA Tesla T4 16GB VRAM | 16GB | 8 vCPU 32GB RAM | Virginia | $0.75/GPU/hr | |||
AWS | 4×NVIDIA Tesla T4 16GB VRAM | 16GB | 48 vCPU 192GB RAM | Virginia | $0.98/GPU/hr $3.91/hr total (4×) | |||
AWS | NVIDIA Tesla T4 16GB VRAM | 16GB | 16 vCPU 64GB RAM | Virginia | $1.20/GPU/hr | |||
AWS | NVIDIA Tesla T4 16GB VRAM | 16GB | 32 vCPU 128GB RAM | Virginia | $2.18/GPU/hr |
When to Choose the H200 SXM
Opt for the H200 SXM in scenarios demanding massive scale, such as training LLMs exceeding 100 billion parameters, where 141 GB VRAM and 1979 TFLOPS FP16 deliver unmatched speed. High-throughput inference on FP8 at 3958 TFLOPS suits enterprise serving with NVLink interconnects. Cloud users prioritizing performance over cost, at $1.19 per hour minimum, benefit from its Hopper advantages in multi-GPU clusters.
When to Choose the Tesla T4
Select the T4 for cost-sensitive, low-intensity inference tasks like real-time image recognition, leveraging its 8.1 TFLOPS FP16 at $0.53 per hour minimum. Its 70W TDP enables high-density deployments in PCIe form factor without extensive power infrastructure. Legacy applications or edge computing with models under 16 GB VRAM find it optimal for efficiency.
Use Cases
H200's 141 GB HBM3e VRAM and 1979 TFLOPS FP16 support massive models and large batches. T4's 16 GB GDDR6 and 8.1 TFLOPS cannot handle scale.
H200's 3958 TFLOPS FP8 and 4800 GB/s bandwidth enable high-throughput serving of large models. T4 suits only small models with 8.1 TFLOPS FP16.
H200's 67 TFLOPS FP32 and high VRAM accelerate parameter-efficient fine-tuning on big datasets. T4's limited 8.1 TFLOPS FP32 slows processes.
H200 excels with 141 GB VRAM for high-resolution batches; T4's 16 GB suffices for basic generations at lower cost.
H200's 4800 GB/s bandwidth and 67 TFLOPS FP32 optimize simulations; T4's 320 GB/s limits complex datasets.
Frequently Asked Questions
What is the VRAM difference between NVIDIA H200 SXM and Tesla T4?▾
The H200 SXM features 141 GB HBM3e VRAM, while the T4 has 16 GB GDDR6. This enables H200 to load models over 8 times larger. Bandwidth reaches 4800 GB/s on H200 versus 320 GB/s on T4.
How do FP16 performance levels compare?▾
H200 delivers 1979 TFLOPS FP16, dwarfing T4's 8.1 TFLOPS by a factor of over 244. This gap accelerates AI training on H200. FP32 is 67 TFLOPS on H200 against 8.1 TFLOPS on T4.
What are the cloud pricing ranges?▾
H200 SXM starts at $1.19 per hour, averaging $3.71 across 22 offers. T4 begins at $0.53 per hour, averaging $1.66 across 6 offers. Pricing reflects performance disparity.
Which has lower power consumption?▾
T4 consumes 70W TDP, far below H200's 700W. This suits dense, efficient deployments for T4. H200 requires advanced cooling for high output.
What architectures do they use?▾
H200 employs Hopper from 2024 with NVLink and PCIe 5.0. T4 uses Turing from 2018 in PCIe form factor. Hopper advances enable modern AI scales.
Is H200 better for large model inference?▾
Yes, H200's 3958 TFLOPS FP8 and 141 GB VRAM excel for large-scale inference. T4's 8.1 TFLOPS FP16 limits it to smaller models. Bandwidth at 4800 GB/s aids H200 throughput.
Which is cheaper to rent, the H200 or the T4?▾
Cloud rental prices for both the H200 and T4 vary by provider, configuration, and availability. This page shows live pricing from 25+ providers updated every 60 seconds. Scroll to the Live Cloud Pricing section to compare current rates.
How much VRAM does the H200 have compared to the T4?▾
The H200 has 141 GB of HBM3e memory. The T4 has 16 GB of GDDR6 memory.
Can I find H200 and T4 GPUs available to rent right now?▾
Yes. This page shows real-time availability across 25+ cloud GPU providers. The Live Cloud Pricing section displays only in-stock offers with current pricing.
What is the main difference between the H200 and the T4?▾
The H200 uses the Hopper architecture (2024) while the T4 uses Turing (2018). The H200 delivers 244.3x the FP16 throughput and 15.0x the memory bandwidth of the T4.