Specifications Compared
| Spec | B300 | MI300X |
|---|---|---|
| TDP | 1200W | 750W |
| VRAM | 288 GB | 192 GB |
| Memory Type | HBM3e | HBM3 |
| Architecture | Blackwell Ultra | CDNA 3 |
| Form Factors | SXM | OAM |
| Interconnect | NVSwitch, NVLink | Infinity Fabric, PCIe 5.0 |
| FP8 Performance | 4,500 TFLOPS | 2,614 TFLOPS |
| FP16 Performance | 2,250 TFLOPS | 1,307 TFLOPS |
| FP32 Performance | 90 TFLOPS | 163 TFLOPS |
| FP64 Performance | 45 TFLOPS | 81.7 TFLOPS |
| INT8 Performance | 4,500 TOPS | 2,614 TOPS |
| Memory Bandwidth | 12,000 GB/s | 5,300 GB/s |
Performance Analysis
The B300's FP16 performance reaches 2250 TFLOPS, surpassing the MI300X's 1307 TFLOPS by 72 percent, which translates to faster AI model training where half-precision computations dominate. For inference, the B300's FP8 capability of 4500 TFLOPS exceeds the MI300X's 2614 TFLOPS, enabling higher throughput in quantized large language models. However, the MI300X holds an edge in FP32 at 163 TFLOPS versus the B300's 90 TFLOPS, benefiting traditional scientific simulations requiring single-precision accuracy.
Memory specifications profoundly affect real-world usage: the B300's 288 GB HBM3e and 12000 GB/s bandwidth support larger batch sizes in training, reducing iteration times for models exceeding 192 GB like the MI300X limit. The MI300X's 5300 GB/s bandwidth suffices for smaller batches but bottlenecks massive datasets. Higher TDP of 1200W for the B300 demands robust cooling, contrasting the MI300X's efficient 750W draw.
Interconnects also matter: NVSwitch and NVLink on the B300 enable seamless multi-GPU scaling, while Infinity Fabric and PCIe 5.0 on the MI300X suit modular setups. These differences mean the B300 excels in unified large-scale clusters, whereas the MI300X fits distributed, cost-conscious environments.
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 |
MI300X
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
RunPod | AMD Instinct MI300X 192GB VRAM | 192GB | 24 vCPU 256GB RAM | 🌍global | $1.99/GPU/hr | |||
 Hot Aisle | AMD Instinct MI300X 192GB VRAM | 192GB | 8 vCPU 224GB RAM 12288GB Storage | Michigan | $1.99/GPU/hr | Available | ||
 Cirrascale | 8×AMD Instinct MI300X 192GB VRAM | 192GB | 192 vCPU 2355GB RAM 44538GB Storage | United States | $3.08/GPU/hr $24.64/hr total (8×) | |||
 Crusoe | AMD Instinct MI300X 192GB VRAM | 192GB | 0 vCPU 0GB RAM | United States | $3.45/GPU/hr | |||
Cirrascale | 8×AMD Instinct MI300X 192GB VRAM | 192GB | 192 vCPU 2355GB RAM 44538GB Storage | United States | $3.47/GPU/hr $27.76/hr total (8×) |
When to Choose the B300
Opt for the B300 in scenarios demanding maximum VRAM and bandwidth, such as training frontier large language models exceeding 192 GB. Its 288 GB HBM3e and 12000 GB/s bandwidth handle enormous datasets without fragmentation, ideal for research labs pushing model scales. The Blackwell Ultra architecture's 2250 TFLOPS FP16 performance accelerates convergence in multi-trillion parameter training runs.
Cloud users prioritizing raw speed over cost select the B300 for inference farms, leveraging 4500 TFLOPS FP8 for high-query-volume services.
When to Choose the MI300X
Choose the MI300X for budget-constrained deployments where average pricing of $2.63 per hour provides strong value. Its 750W TDP lowers operational costs in power-sensitive data centers, and 163 TFLOPS FP32 suits scientific computing or graphics workloads. With nine live offers starting at $0.50 per hour, it enables scalable clusters without the B300's $7.17 per hour premium.
Fine-tuning mid-sized models or inference at moderate scales favors the MI300X, as 192 GB HBM3 and 5300 GB/s bandwidth meet needs efficiently.
Use Cases
The B300's 2250 TFLOPS FP16 and 288 GB HBM3e VRAM support training of trillion-parameter models with larger batches. The MI300X's 1307 TFLOPS and 192 GB limit scale for such workloads.
B300's 4500 TFLOPS FP8 enables higher query throughput for quantized inference. Its 12000 GB/s bandwidth sustains large batch serving beyond MI300X's 5300 GB/s.
288 GB VRAM on B300 accommodates full model fine-tuning without sharding. Superior FP16 performance at 2250 TFLOPS speeds iterations compared to MI300X.
MI300X's $2.63 per hour pricing suits high-volume image generation economically. B300 offers faster rendering via 4500 TFLOPS FP8 but at higher $7.17 per hour cost.
MI300X's 163 TFLOPS FP32 outperforms B300's 90 TFLOPS for simulations. Lower 750W TDP and $0.50 per hour starting price enhance long-running HPC jobs.
Frequently Asked Questions
Which GPU has more VRAM?▾
The B300 provides 288 GB HBM3e, exceeding the MI300X's 192 GB HBM3. This allows the B300 to load larger AI models without offloading. Memory bandwidth follows suit at 12000 GB/s for B300 versus 5300 GB/s.
What are the current cloud prices?▾
B300 pricing starts at $6.94 per hour with an average of $7.17 per hour across four offers. MI300X starts at $0.50 per hour, averaging $2.63 per hour over nine offers. These rates reflect live cloud availability.
Which is better for AI training?▾
B300 leads with 2250 TFLOPS FP16 performance over MI300X's 1307 TFLOPS. Combined with 288 GB VRAM, it excels in large-scale training. MI300X suits smaller budgets.
How do power requirements compare?▾
B300 has a 1200W TDP, demanding advanced cooling solutions. MI300X operates at 750W, offering better efficiency for dense deployments. This impacts total cost of ownership.
What about FP8 performance?▾
B300 delivers 4500 TFLOPS FP8, surpassing MI300X's 2614 TFLOPS by 72 percent. This benefits quantized inference workloads. FP32 favors MI300X at 163 TFLOPS versus 90 TFLOPS.
Which supports better multi-GPU scaling?▾
B300 uses NVSwitch and NVLink for low-latency scaling in large clusters. MI300X relies on Infinity Fabric and PCIe 5.0, suitable for modular systems. Choice depends on cluster size.
Which is cheaper to rent, the B300 or the MI300X?▾
Cloud rental prices for both the B300 and MI300X 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 MI300X?▾
The B300 has 288 GB of HBM3e memory. The MI300X has 192 GB of HBM3 memory.
Can I find B300 and MI300X 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 MI300X?▾
The B300 uses the Blackwell Ultra architecture (2025) while the MI300X uses CDNA 3 (2023). The B300 delivers 1.7x the FP16 throughput and 2.3x the memory bandwidth of the MI300X.