Specifications Compared
| Spec | B300 | T4 |
|---|---|---|
| TDP | 1400W | 70W |
| VRAM | 262-288 GB | 16 GB |
| CUDA Cores | Not published | 2,560 |
| FP4 (dense) | 13,500 TFLOPS | Not published |
| FP8 (dense) | 4,500 TFLOPS | Not published |
| Memory Type | HBM3e | GDDR6 |
| Architecture | Blackwell Ultra | Turing |
| FP16 (dense) | 2,250 TFLOPS | 65 TFLOPS |
| Form Factors | SXM6 | PCIe |
| INT8 (dense) | 187.5 TOPS | 130 TOPS |
| Interconnect | NVLink, PCIe 6.0, InfiniBand | PCIe 3.0 |
| Tensor Cores | Not published | 320 |
| FP32 Performance | 75 TFLOPS | 8.1 TFLOPS |
| FP64 Performance | 1.25 TFLOPS | Not published |
| Memory Bandwidth | 8,000 GB/s | 320 GB/s |
| FP4 (with sparsity) | 18,000 TFLOPS | Not published |
| FP8 (with sparsity) | 9,000 TFLOPS | Not published |
| FP16 (with sparsity) | 4,500 TFLOPS | Not published |
| INT8 (with sparsity) | 375 TOPS | Not published |
Performance Analysis
The B300 achieves 2250 TFLOPS in FP16 dense operations compared to the T4 at 65 TFLOPS in FP16 dense operations. The FP16 dense to FP32 ratio on the B300 stands at 2250 to 75 while the same ratio on the T4 stands at 65 to 8.1. Memory bandwidth of 8000 GB/s on the B300 versus 320 GB/s on the T4 permits substantially larger batch sizes during both training and inference passes. The B300 also lists 4500 TFLOPS in FP16 with sparsity against the T4 FP16 dense figure of 65 TFLOPS.
Current On-Demand Offers
Cheapest secure on-demand offer per provider that is reported in stock right now, per GPU per hour; multi-GPU instances show the whole-instance price alongside. Deploy opens the DeployGPU console for providers on the platform, otherwise the provider's own site. Stock is rechecked every minute.
B300
1 provider in stock, 2 offers (cheapest per provider shown). All B300 offers, price history and alerts
T4
T4 is not offered on-demand by any provider we track right now. See the T4 rental page for last-seen listed prices and a price alert.
Notify me when B300 drops below a price
One email when the cheapest in-stock on-demand price per GPU-hour falls below your threshold. Cheapest right now: $0.50/GPU-hr.
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When to Choose the B300
The B300 suits workloads that require 2250 TFLOPS FP16 dense throughput and 262 GB VRAM capacity. Large scale training sessions or inference on models that exceed 16 GB VRAM limits benefit from the 8000 GB/s bandwidth and 1400W TDP configuration.
When to Choose the T4
The T4 fits deployments constrained to 70W TDP and PCIe form factor with 16 GB VRAM. Inference tasks that operate within 65 TFLOPS FP16 dense and 130 TOPS INT8 dense remain viable on this hardware.
Use Cases
The B300 supplies 2250 TFLOPS FP16 dense and 8000 GB/s bandwidth that support large model training runs beyond T4 limits.
The B300 delivers 2250 TFLOPS FP16 dense and 262 GB VRAM that enable higher throughput than the T4 at 65 TFLOPS FP16 dense.
The B300 provides 4500 TFLOPS FP8 dense along with 262 GB VRAM that accommodate fine tuning workloads exceeding T4 capacity.
The B300 offers 2250 TFLOPS FP16 dense and 8000 GB/s bandwidth that process larger image batches than the T4 configuration.
The B300 lists 75 TFLOPS FP32 and 8000 GB/s bandwidth that accelerate scientific simulations beyond the T4 at 8.1 TFLOPS FP32.
Frequently Asked Questions
What is the memory bandwidth of the B300 versus the T4?▾
The B300 reaches 8000 GB/s memory bandwidth and the T4 reaches 320 GB/s memory bandwidth. Bandwidth directly influences achievable batch sizes in training and inference.
How does FP16 performance compare between the B300 and T4?▾
The B300 achieves 2250 TFLOPS in FP16 dense operations while the T4 achieves 65 TFLOPS in FP16 dense operations. The B300 also lists 4500 TFLOPS in FP16 with sparsity.
What TDP values are specified for the B300 and T4?▾
The B300 carries a 1400W TDP rating and the T4 carries a 70W TDP rating. Power limits affect deployment density in data center environments.
Which GPU supports higher INT8 throughput?▾
The B300 supports 187.5 TOPS in INT8 dense operations and 375 TOPS in INT8 with sparsity while the T4 supports 130 TOPS in INT8 dense operations.
Which is cheaper to rent, the B300 or the T4?▾
Cloud rental prices for both the B300 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 B300 have compared to the T4?▾
The B300 has 262 to 288 GB of HBM3e memory. The T4 has 16 GB of GDDR6 memory.
Can I find B300 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 B300 and the T4?▾
The B300 uses the Blackwell Ultra architecture (2025) while the T4 uses Turing (2018). The B300 delivers 34.6x the dense FP16 throughput (2,250 vs 65 TFLOPS, both without sparsity) and 25.0x the memory bandwidth of the T4.
Rent these GPUs
Each GPU page lists every current on-demand offer by provider, per GPU-hour, updated every minute.
Related comparisons
How this page is made
- Specifications come from the NVIDIA, AMD and Intel datasheets for the B300 and the T4. Dense and sparse throughput are listed separately.
- Prices and availability are live: every offer shown is an in-stock, on-demand listing from a provider we track, rechecked every minute.
- The written comparison (overview, performance notes, when to choose each card, verdict, use cases and FAQ) was drafted with an AI model from the specification table above and passed an automated check that rejects any figure not in that table. It was last generated on . It contains no prices; those are always read live.
- Read how we collect the data, or report an error on this page.
Next steps
- Rent B300Every current offer by provider, daily price history and a price alert.
- Rent T4Every current offer by provider, daily price history and a price alert.
- GPU price indexHow on-demand prices for the major GPUs have moved, updated daily.
- All GPUsEvery GPU we track, with current lows and provider counts.