Specifications Compared
| Spec | B300 | RTX-3090 |
|---|---|---|
| TDP | 1200W | 350W |
| VRAM | 288 GB | 24 GB |
| Memory Type | HBM3e | GDDR6X |
| Architecture | Blackwell Ultra | Ampere |
| Form Factors | SXM | PCIe |
| Interconnect | NVSwitch, NVLink | NVLink |
| FP8 Performance | 4,500 TFLOPS | |
| FP16 Performance | 2,250 TFLOPS | 35.6 TFLOPS |
| FP32 Performance | 90 TFLOPS | 35.6 TFLOPS |
| FP64 Performance | 45 TFLOPS | |
| INT8 Performance | 4,500 TOPS | |
| Memory Bandwidth | 12,000 GB/s | 936 GB/s |
Performance Analysis
The B300's FP16 throughput of 2250 TFLOPS accelerates deep learning training by enabling faster gradient computations in half-precision, a staple for large models; its FP32 of 90 TFLOPS suits simulation tasks better than the RTX 3090's matched 35.6 TFLOPS in both formats. The FP8 capability at 4500 TFLOPS on the B300 optimizes inference for quantized models, reducing latency in production serving where the RTX 3090 lacks equivalent support.
Memory specifications transform real-world usability: 288 GB HBM3e on the B300 supports batch sizes for models exceeding 100 billion parameters without sharding, while 24 GB GDDR6X on the RTX 3090 limits users to smaller datasets or models under 7 billion parameters. Bandwidth of 12000 GB/s versus 936 GB/s minimizes data transfer bottlenecks, boosting effective throughput in memory-bound training by up to 12 times and allowing larger effective batch sizes in inference pipelines.
Interconnects further the divide: NVSwitch and NVLink on the B300 enable seamless multi-GPU scaling, unlike the RTX 3090's basic NVLink.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
B300 SXM6
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 RunPod | NVIDIA B300 SXM6 262GB VRAM | 262GB | 0 vCPU 0GB RAM | 🌍global | $7.39/GPU/hr | |||
 Scaleway | 8×NVIDIA B300 SXM6 262GB VRAM | 262GB | 224 vCPU 3840GB RAM 22352GB Storage | Paris | $8.73/GPU/hr $69.84/hr total (8×) | Available |
RTX 3090 Ti
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 TensorDock | NVIDIA GeForce RTX 3090 24GB VRAM | 24GB | 0 vCPU 0GB RAM | Wilmington, Delaware | $0.20/GPU/hr | Available | ||
TensorDock | NVIDIA GeForce RTX 3090 24GB VRAM | 24GB | 0 vCPU 0GB RAM | Dallas, Texas | $0.21/GPU/hr | Available | ||
 Vast.ai | 4×NVIDIA GeForce RTX 3090 24GB VRAM | 24GB | 32 vCPU 403GB RAM 153GB Storage | Iceland | $0.25/GPU/hr $1.01/hr total (4×) | Available | ||
Vast.ai | 4×NVIDIA GeForce RTX 3090 24GB VRAM | 24GB | 32 vCPU 252GB RAM 1440GB Storage | Finland | $0.27/GPU/hr $1.07/hr total (4×) | Available | ||
 LeaderGPU | 8×NVIDIA GeForce RTX 3090 24GB VRAM | 24GB | 64 vCPU 384GB RAM 2000GB Storage | Netherlands | $0.29/GPU/hr $2.29/hr total (8×) | Available |
When to Choose the B300 SXM6
Enterprises training massive LLMs or conducting large-scale simulations select the B300 for its 288 GB VRAM and 12000 GB/s bandwidth, which handle full model loading and large batches without distribution overhead. The 2250 TFLOPS FP16 and 4500 TFLOPS FP8 deliver production-grade speed in cloud clusters via NVSwitch.
When to Choose the RTX 3090 Ti
Developers prototyping models or running inference on datasets under 10 GB choose the RTX 3090 due to its $0.10 per hour pricing and 24 GB VRAM, sufficient for fine-tuning or Stable Diffusion at 35.6 TFLOPS FP16. Its 350W TDP fits edge or small-instance cloud deployments without high power costs.
Use Cases
The B300's 288 GB VRAM accommodates models over 100 billion parameters without sharding. Its 2250 TFLOPS FP16 accelerates training cycles dramatically compared to the RTX 3090's 24 GB limit.
4500 TFLOPS FP8 on the B300 supports high-throughput serving of large quantized models. 12000 GB/s bandwidth ensures low latency for real-time applications beyond the RTX 3090's 936 GB/s.
RTX 3090 handles models under 7 billion parameters at low $0.10 per hour cost. B300 excels for larger scales with 288 GB VRAM.
24 GB GDDR6X suffices for image generation pipelines at 35.6 TFLOPS FP16. Low pricing of $0.10 per hour makes it ideal for creative prototyping.
90 TFLOPS FP32 and 1200W TDP power complex simulations. NVSwitch enables efficient multi-GPU scaling absent in the RTX 3090.
Frequently Asked Questions
How much more VRAM does the B300 have than the RTX 3090?▾
The B300 provides 288 GB HBM3e, which is 12 times the RTX 3090's 24 GB GDDR6X. This capacity supports loading entire large language models without GPU splitting. Datacenter tasks benefit most from this difference.
What is the FP16 performance gap between B300 and RTX 3090?▾
B300 delivers 2250 TFLOPS FP16 versus 35.6 TFLOPS on the RTX 3090, a 63-fold increase. Training deep neural networks completes far quicker on the B300. Inference workloads see similar acceleration.
How do cloud prices compare for these GPUs?▾
B300 SXM6 rents from $2.45 per hour averaging $6.44 across seven providers. RTX 3090 Ti starts at $0.10 per hour averaging $0.25 across five offers. Budget prototyping favors the RTX 3090.
Can the RTX 3090 handle large model training?▾
RTX 3090's 24 GB VRAM limits it to models under 7 billion parameters. Larger ones require model parallelism unavailable in single-GPU setups. B300's 288 GB avoids such constraints.
What architectures power these GPUs?▾
B300 uses 2025 Blackwell Ultra for datacenters. RTX 3090 employs 2020 Ampere for consumers. The five-year gap yields B300's superior 12000 GB/s bandwidth over 936 GB/s.
Is the B300 more power-hungry?▾
B300 draws 1200W TDP in SXM form, versus RTX 3090's 350W PCIe. This supports higher clocks for 2250 TFLOPS FP16. Cloud providers manage cooling for datacenter efficiency.
Which is cheaper to rent, the B300 or the RTX 3090?▾
Cloud rental prices for both the B300 and RTX 3090 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 RTX 3090?▾
The B300 has 288 GB of HBM3e memory. The RTX 3090 has 24 GB of GDDR6X memory.
Can I find B300 and RTX 3090 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 RTX 3090?▾
The B300 uses the Blackwell Ultra architecture (2025) while the RTX 3090 uses Ampere (2020). The B300 delivers 63.2x the FP16 throughput and 12.8x the memory bandwidth of the RTX 3090.