Specifications Compared
| Spec | GB300 | RTX-4500-ADA |
|---|---|---|
| TDP | 1400W | 210W |
| VRAM | 288 GB | 24 GB |
| Memory Type | HBM3e | GDDR6 |
| Architecture | Blackwell Ultra | Ada Lovelace |
| Form Factors | SXM | PCIe |
| Interconnect | NVSwitch, NVLink | |
| FP8 Performance | 4,500 TFLOPS | |
| FP16 Performance | 2,250 TFLOPS | 39.6 TFLOPS |
| FP32 Performance | 90 TFLOPS | 39.6 TFLOPS |
| FP64 Performance | 45 TFLOPS | |
| INT8 Performance | 4,500 TOPS | 634 TOPS |
| Memory Bandwidth | 12,000 GB/s | 432 GB/s |
Performance Analysis
GB300 demonstrates overwhelming compute superiority for AI workloads: its 2250 TFLOPS FP16 rate accelerates tensor operations in training by over 56 times compared to RTX 4500 Ada's 39.6 TFLOPS. The FP32 performance of 90 TFLOPS on GB300 further aids precision-sensitive tasks like simulations, doubling RTX 4500 Ada's 39.6 TFLOPS. This disparity means GB300 completes large model training epochs far faster, reducing time-to-insight for trillion-parameter LLMs.
Memory specifications transform real-world usability: 288 GB HBM3e on GB300 enables loading massive datasets or full models without sharding, while 24 GB GDDR6 on RTX 4500 Ada necessitates model parallelism for anything beyond mid-sized networks. The 12000 GB/s bandwidth on GB300 sustains high throughput for enormous batch sizes in training, preventing stalls that 432 GB/s on RTX 4500 Ada would cause during gradient computations.
For inference, GB300's 4500 TFLOPS FP8 capability supports ultra-high query rates on quantized models, ideal for production serving. RTX 4500 Ada handles lighter inference adequately but scales poorly under heavy loads due to bandwidth limits.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
RTX 4500 Ada
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 RunPod | NVIDIA RTX 4500 Ada 24GB VRAM | 24GB | 0 vCPU 0GB RAM | 🌍global | $0.74/GPU/hr |
When to Choose the GB300 SXM6
GB300 is the optimal selection for exascale AI training and inference on massive language models. Its 288 GB VRAM accommodates entire models up to hundreds of billions of parameters, and 2250 TFLOPS FP16 with 12000 GB/s bandwidth enables unprecedented batch sizes and speedups in multi-GPU clusters via NVLink.
High-performance computing clusters benefit from GB300's 90 TFLOPS FP32 and 1400W SXM design, where interconnects like NVSwitch facilitate seamless scaling across nodes.
When to Choose the RTX 4500 Ada
RTX 4500 Ada fits budget-conscious workstations and on-demand cloud prototyping. Priced from $0.34 per hour with an average of $0.51 per hour across three providers, it provides 39.6 TFLOPS FP16 at just 210W TDP, ideal for single-user environments.
Development tasks like visualization or small-scale AI benefit from its immediate availability and PCIe compatibility, avoiding the wait for GB300 deployments.
Use Cases
GB300's 288 GB HBM3e and 2250 TFLOPS FP16 support training trillion-parameter models on single GPUs with massive batch sizes. RTX 4500 Ada's 24 GB VRAM requires extensive sharding.
GB300's 4500 TFLOPS FP8 and 12000 GB/s bandwidth enable high-throughput serving of large quantized models. RTX 4500 Ada suits only smaller models due to 432 GB/s limits.
GB300 excels for large models with 288 GB VRAM, while RTX 4500 Ada's 39.6 TFLOPS FP16 and $0.34/hr pricing work for mid-sized fine-tuning on budgets.
RTX 4500 Ada's 24 GB GDDR6 and 39.6 TFLOPS FP16 generate images efficiently at low 210W cost. GB300's scale exceeds typical diffusion needs.
GB300's 90 TFLOPS FP32 and NVLink interconnects accelerate large simulations. RTX 4500 Ada's matching 39.6 TFLOPS FP32 falls short for cluster-scale work.
Frequently Asked Questions
What is the VRAM capacity of GB300 versus RTX 4500 Ada?▾
GB300 features 288 GB of HBM3e memory. RTX 4500 Ada provides 24 GB of GDDR6. This 12-fold difference allows GB300 to handle vastly larger models without partitioning.
How do memory bandwidths compare between these GPUs?▾
GB300 achieves 12000 GB/s bandwidth. RTX 4500 Ada delivers 432 GB/s. GB300's rate supports 28 times higher data throughput for training large batches.
What are the FP16 performance figures?▾
GB300 reaches 2250 TFLOPS in FP16. RTX 4500 Ada offers 39.6 TFLOPS. This gap translates to over 56 times faster AI tensor computations on GB300.
What is the power consumption difference?▾
GB300 has a 1400W TDP in SXM form factor. RTX 4500 Ada uses 210W in PCIe. RTX 4500 Ada suits power-sensitive workstations, while GB300 fits datacenter cooling.
Is RTX 4500 Ada available for cloud rental now?▾
RTX 4500 Ada has live cloud offers from $0.34 per hour, averaging $0.51 per hour across three providers. GB300 currently has no live offers available.
Which GPU supports faster interconnects?▾
GB300 includes NVSwitch and NVLink for multi-GPU scaling. RTX 4500 Ada lacks specified interconnects beyond PCIe. This enables GB300 for cluster deployments.
Which is cheaper to rent, the GB300 or the RTX 4500 Ada?▾
Cloud rental prices for both the GB300 and RTX 4500 Ada 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 GB300 have compared to the RTX 4500 Ada?▾
The GB300 has 288 GB of HBM3e memory. The RTX 4500 Ada has 24 GB of GDDR6 memory.
Can I find GB300 and RTX 4500 Ada 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 GB300 and the RTX 4500 Ada?▾
The GB300 uses the Blackwell Ultra architecture (2025) while the RTX 4500 Ada uses Ada Lovelace (2023). The GB300 delivers 56.8x the FP16 throughput and 27.8x the memory bandwidth of the RTX 4500 Ada.