Specifications Compared
| Spec | B200 | T4 |
|---|---|---|
| TDP | 1000W | 70W |
| VRAM | 192 GB | 16 GB |
| CUDA Cores | 18,432 | 2,560 |
| Memory Type | HBM3e | GDDR6 |
| Architecture | Blackwell | Turing |
| Form Factors | SXM, NVL | PCIe |
| Interconnect | NVLink, PCIe 6.0, InfiniBand | |
| Tensor Cores | 576 | 320 |
| FP8 Performance | 9,000 TFLOPS | |
| FP16 Performance | 4,500 TFLOPS | 8.1 TFLOPS |
| FP32 Performance | 90 TFLOPS | 8.1 TFLOPS |
| FP64 Performance | 45 TFLOPS | |
| INT8 Performance | 9,000 TOPS | 130 TOPS |
| Memory Bandwidth | 8,000 GB/s | 320 GB/s |
Performance Analysis
The B200's FP16 throughput of 4500 TFLOPS vastly outpaces the T4's 8.1 TFLOPS, accelerating deep learning training where mixed-precision computations dominate. For inference, the B200's FP8 capability at 9000 TFLOPS enables handling massive models at scale, unlike the T4 limited to 8.1 TFLOPS FP16. The FP32 performance of 90 TFLOPS on the B200 supports scientific simulations better than the T4's matching 8.1 TFLOPS.
Memory bandwidth profoundly impacts real-world usage: the B200's 8000 GB/s allows larger batch sizes in training without bottlenecks, processing datasets efficiently. The T4's 320 GB/s restricts it to smaller batches, suitable only for modest models. Power draw underscores efficiency differences, with the B200 at 1000W TDP versus the T4's 70W, influencing deployment in dense clusters.
Interconnect options enhance the B200's scalability via NVLink, PCIe 6.0, and InfiniBand, while the T4 sticks to basic PCIe, limiting multi-GPU setups.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
B200
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Nebius | NVIDIA B200 SXM 192GB VRAM | 192GB | 20 vCPU 224GB RAM | 🌍Europe | $3.95/GPU/hr | |||
 Cirrascale | 8×NVIDIA B200 SXM 192GB VRAM | 192GB | 192 vCPU 2048GB RAM 43923GB Storage | United States | $4.79/GPU/hr $38.32/hr total (8×) | |||
Cirrascale | 8×NVIDIA B200 SXM 192GB VRAM | 192GB | 192 vCPU 2048GB RAM 43923GB Storage | United States | $5.39/GPU/hr $43.12/hr total (8×) | |||
Cirrascale | 8×NVIDIA B200 SXM 192GB VRAM | 192GB | 192 vCPU 2048GB RAM 43923GB Storage | United States | $5.69/GPU/hr $45.52/hr total (8×) | |||
 RunPod | NVIDIA B200 SXM 192GB VRAM | 192GB | 28 vCPU 283GB RAM | California | $5.89/GPU/hr |
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 B200
The B200 excels in large-scale AI training and inference tasks requiring extensive VRAM. With 192 GB HBM3e and 8000 GB/s bandwidth, it handles billion-parameter LLMs that exceed the T4's 16 GB GDDR6 limit. FP16 at 4500 TFLOPS and FP8 at 9000 TFLOPS make it ideal for data centers prioritizing throughput over cost.
When to Choose the T4
The T4 suits low-power, cost-sensitive inference on small models. Its 70W TDP and $0.53 per hour starting price enable deployment in edge computing or numerous virtual instances. With 8.1 TFLOPS FP16 and 320 GB/s bandwidth, it processes lightweight tasks without the B200's 1000W demands or $1.71 per hour entry cost.
Use Cases
The B200's 192 GB HBM3e VRAM and 4500 TFLOPS FP16 performance support training massive models with large batch sizes. The T4's 16 GB GDDR6 cannot accommodate such scales.
FP8 throughput of 9000 TFLOPS on the B200 delivers high-speed serving for large LLMs. The T4's 8.1 TFLOPS FP16 limits it to smaller models.
Fine-tuning benefits from the B200's 8000 GB/s bandwidth for efficient gradient computations on big datasets. The T4's 320 GB/s bandwidth restricts batch sizes.
Generating high-resolution images requires the B200's 192 GB VRAM to load full models. The T4's 16 GB VRAM forces model partitioning or reduced quality.
Light simulations fit the T4's 8.1 TFLOPS FP32 and low 70W TDP for cost savings. Intensive HPC demands the B200's 90 TFLOPS FP32 and NVLink interconnect.
Frequently Asked Questions
What is the VRAM difference between B200 and T4?▾
The B200 provides 192 GB of HBM3e VRAM, enabling large model handling. The T4 offers 16 GB GDDR6, suitable for smaller workloads. This 12x gap affects maximum model sizes supported.
How do B200 and T4 compare in performance?▾
B200 achieves 4500 TFLOPS in FP16 and 9000 TFLOPS in FP8. T4 delivers 8.1 TFLOPS in both FP16 and FP32. The B200 offers over 500x FP16 advantage for AI tasks.
What are the power requirements for B200 vs T4?▾
The B200 has a 1000W TDP, demanding robust cooling in data centers. The T4 uses 70W TDP, ideal for dense or edge deployments. This influences hosting costs and scalability.
Which GPU is cheaper in the cloud?▾
T4 starts at $0.53 per hour, averaging $1.66 per hour across 6 offers. B200 begins at $1.71 per hour, averaging $4.61 per hour over 16 offers. T4 provides better value for light tasks.
Can T4 handle modern LLMs compared to B200?▾
T4's 16 GB VRAM limits it to small LLMs under inference loads. B200's 192 GB and 8000 GB/s bandwidth support full-scale LLMs. Use T4 only for distilled models.
What interconnects do B200 and T4 support?▾
B200 includes NVLink, PCIe 6.0, and InfiniBand for multi-GPU scaling. T4 relies solely on PCIe. B200 enables faster cluster communication.
Which is cheaper to rent, the B200 or the T4?▾
Cloud rental prices for both the B200 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 B200 have compared to the T4?▾
The B200 has 192 GB of HBM3e memory. The T4 has 16 GB of GDDR6 memory.
Can I find B200 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 B200 and the T4?▾
The B200 uses the Blackwell architecture (2024) while the T4 uses Turing (2018). The B200 delivers 555.6x the FP16 throughput and 25.0x the memory bandwidth of the T4.