Specifications Compared
| Spec | B300 | MI355X |
|---|---|---|
| TDP | 1200W | 750W |
| VRAM | 288 GB | 288 GB |
| Memory Type | HBM3e | HBM3e |
| Architecture | Blackwell Ultra | CDNA 4 |
| Form Factors | SXM | OAM |
| Interconnect | NVSwitch, NVLink | Infinity Fabric |
| FP8 Performance | 4,500 TFLOPS | 4,600 TFLOPS |
| FP16 Performance | 2,250 TFLOPS | 2,300 TFLOPS |
| FP32 Performance | 90 TFLOPS | 2300 TFLOPS |
| FP64 Performance | 45 TFLOPS | 72 TFLOPS |
| INT8 Performance | 4,500 TOPS | 4,600 TOPS |
| Memory Bandwidth | 12,000 GB/s | 8,000 GB/s |
Performance Analysis
Peak FP16 throughput stands at 2250 TFLOPS for the B300 and 2300 TFLOPS for the MI355X, indicating near parity for mixed-precision training common in LLMs. The FP8 figures follow suit: 4500 TFLOPS versus 4600 TFLOPS, favoring inference at scale. However, FP32 performance diverges sharply: the B300's 90 TFLOPS lags behind the MI355X's 2300 TFLOPS, making the AMD option superior for FP32-dominant scientific simulations or legacy HPC codes.
Memory bandwidth profoundly impacts real-world throughput: the B300's 12000 GB/s supports larger batch sizes in training, reducing time-to-convergence for memory-bound models, while the MI355X's 8000 GB/s may constrain such workloads. Both share 288 GB HBM3e, enabling identical model capacities, but NVIDIA's bandwidth edge accelerates data movement in transformer layers.
Power draw affects density: the B300's 1200W TDP demands advanced cooling, potentially limiting racks to fewer units, whereas the MI355X's 750W enables higher GPU-per-server counts, optimizing total cluster FLOPS per watt.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
B300
| 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 | |||
 VERDA | NVIDIA B300 SXM6 262GB VRAM | 262GB | 30 vCPU 255GB RAM | Helsinki | $7.50/GPU/hr | Available | ||
VERDA | 2×NVIDIA B300 SXM6 262GB VRAM | 262GB | 60 vCPU 510GB RAM | Helsinki | $7.50/GPU/hr $15.00/hr total (2×) | Available | ||
VERDA | 8×NVIDIA B300 SXM6 262GB VRAM | 262GB | 240 vCPU 2040GB RAM | Helsinki | $7.50/GPU/hr $60.00/hr total (8×) | Available | ||
 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 |
When to Choose the B300
Opt for the NVIDIA B300 in bandwidth-intensive AI training pipelines, where 12000 GB/s memory throughput sustains massive batch sizes for LLMs exceeding 100 billion parameters. Its availability from $2.45 per hour across seven cloud providers facilitates immediate deployment in NVLink-enabled clusters.
NVIDIA's mature software stack excels in multi-GPU scaling via NVSwitch, ideal for enterprises prioritizing ecosystem compatibility over power savings.
When to Choose the MI355X
Select the AMD Instinct MI355X for FP32-heavy workloads like molecular dynamics, where 2300 TFLOPS outperforms the B300's 90 TFLOPS. Lower 750W TDP supports denser deployments, maximizing GPUs per rack.
Power-constrained environments benefit from its efficiency, especially pending cloud availability.
Use Cases
B300's 12000 GB/s bandwidth handles large batches better than MI355X's 8000 GB/s. FP16 parity at 2250 TFLOPS versus 2300 TFLOPS ensures competitive training speeds.
Higher 12000 GB/s bandwidth accelerates serving high-concurrency requests. FP8 edge at 4500 TFLOPS suits quantized inference.
Both provide 288 GB VRAM for large models. FP16 similarities allow flexibility based on power or bandwidth needs.
MI355X's 2300 TFLOPS FP32 aids diffusion model computations. Lower 750W TDP fits creative workflows.
MI355X dominates with 2300 TFLOPS FP32 versus B300's 90 TFLOPS for simulations.
Frequently Asked Questions
What is the VRAM capacity of B300 versus MI355X?▾
Both GPUs feature 288 GB of HBM3e VRAM. This equality supports identical large-model capacities in AI tasks.
How do memory bandwidths compare?▾
B300 provides 12000 GB/s, exceeding MI355X's 8000 GB/s. Higher bandwidth benefits memory-bound workloads like training.
Which has better FP32 performance?▾
MI355X delivers 2300 TFLOPS FP32, far ahead of B300's 90 TFLOPS. This favors AMD for FP32-centric HPC.
What are the TDPs?▾
B300 requires 1200W, while MI355X uses 750W. Lower TDP enables denser AMD deployments.
Is cloud pricing available for these GPUs?▾
B300 starts at $2.45 per hour, averaging $6.44 per hour across seven offers. MI355X has no live offers yet.
What interconnects do they use?▾
B300 employs NVSwitch and NVLink for scaling. MI355X uses Infinity Fabric.
Which is cheaper to rent, the B300 or the MI355X?▾
Cloud rental prices for both the B300 and MI355X 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 MI355X?▾
The B300 has 288 GB of HBM3e memory. The MI355X has 288 GB of HBM3e memory.
Can I find B300 and MI355X 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 MI355X?▾
The B300 uses the Blackwell Ultra architecture (2025) while the MI355X uses CDNA 4 (2025). The MI355X delivers 1.0x the FP16 throughput and 1.5x the memory bandwidth of the B300.