Specifications Compared
| Spec | GB300 | RTX-2000-ADA |
|---|---|---|
| TDP | 1400W | 70W |
| VRAM | 288 GB | 16 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 | 12 TFLOPS |
| FP32 Performance | 90 TFLOPS | 12 TFLOPS |
| FP64 Performance | 45 TFLOPS | |
| INT8 Performance | 4,500 TOPS | 192 TOPS |
| Memory Bandwidth | 12,000 GB/s | 288 GB/s |
Performance Analysis
The GB300's 288 GB HBM3e VRAM versus the RTX 2000 Ada's 16 GB GDDR6 enables handling models with billions of parameters on GB300, while RTX 2000 Ada limits users to smaller datasets or reduced batch sizes. Memory bandwidth of 12000 GB/s on GB300 supports massive parallel data movement critical for training large language models, compared to 288 GB/s on RTX 2000 Ada which bottlenecks high-throughput inference. In FP16, GB300 achieves 2250 TFLOPS for accelerated training and inference phases, far exceeding RTX 2000 Ada's 12 TFLOPS; FP32 performance follows at 90 TFLOPS versus 12 TFLOPS, benefiting scientific simulations. FP8 capability of 4500 TFLOPS on GB300 optimizes quantized inference for real-time applications, unavailable on RTX 2000 Ada. Higher TDP of 1400W on GB300 demands robust cooling but yields proportional gains in sustained workloads.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
RTX 2000 Ada Generation
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 RunPod | NVIDIA RTX 2000 Ada Generation 16GB VRAM | 16GB | 6 vCPU 35GB RAM | 🌍global | $0.24/GPU/hr |
When to Choose the GB300 SXM6
Select GB300 for exascale AI training or inference on models exceeding 100 billion parameters, leveraging 288 GB VRAM and 12000 GB/s bandwidth for large batch sizes. Datacenter clusters with NVLink interconnects benefit from its 2250 TFLOPS FP16 in multi-GPU scaling for HPC simulations. Enterprise users prioritizing peak throughput over immediate availability choose GB300 despite 1400W power draw.
When to Choose the RTX 2000 Ada Generation
RTX 2000 Ada suits budget-conscious developers for prototyping, light fine-tuning, or inference on models under 7 billion parameters, with cloud pricing from $0.14 per hour. Its 70W TDP and PCIe form factor enable easy desktop or edge deployments without specialized infrastructure. Small teams value its availability across three live offers averaging $0.29 per hour for visualization and entry-level compute.
Use Cases
GB300's 2250 TFLOPS FP16 and 288 GB HBM3e VRAM handle massive datasets and large batch sizes essential for training models over 100 billion parameters. RTX 2000 Ada's 12 TFLOPS and 16 GB VRAM cannot scale to such demands.
The 12000 GB/s bandwidth and 4500 TFLOPS FP8 on GB300 support high-throughput inference with large batches. RTX 2000 Ada's 288 GB/s limits it to smaller models.
GB300 excels with 90 TFLOPS FP32 for precise parameter updates on large models using 288 GB VRAM. RTX 2000 Ada restricts fine-tuning to modest scales.
RTX 2000 Ada's 12 TFLOPS FP16 suffices for image generation at 16 GB VRAM with low $0.14 per hour cost. GB300 overpowers needs for this task.
GB300's 90 TFLOPS FP32 and NVLink interconnect accelerate complex simulations across clusters. RTX 2000 Ada's 12 TFLOPS limits to basic computations.
Frequently Asked Questions
What is the VRAM difference between GB300 and RTX 2000 Ada?▾
GB300 offers 288 GB HBM3e VRAM while RTX 2000 Ada provides 16 GB GDDR6. This 18-fold gap allows GB300 to manage vastly larger models. RTX 2000 Ada suits smaller workloads.
How do their FP16 performances compare?▾
GB300 delivers 2250 TFLOPS FP16 compared to 12 TFLOPS on RTX 2000 Ada. GB300 accelerates AI training by orders of magnitude. RTX 2000 Ada handles lighter tensor operations.
What are the power requirements?▾
GB300 has a 1400W TDP in SXM form factor needing datacenter cooling. RTX 2000 Ada uses 70W in PCIe for efficient desktop use. Power scales with performance disparity.
Is GB300 available for cloud rental now?▾
No live offers exist for GB300 currently. RTX 2000 Ada starts at $0.14 per hour across three providers averaging $0.29 per hour. GB300 targets future enterprise deployments.
Which has higher memory bandwidth?▾
GB300 achieves 12000 GB/s versus 288 GB/s on RTX 2000 Ada. This enables GB300 for high-batch AI inference. RTX 2000 Ada suffices for modest data flows.
What architectures do they use?▾
GB300 uses Blackwell Ultra for 2025 while RTX 2000 Ada employs Ada Lovelace from 2024. Blackwell advances AI efficiency beyond Ada. Both serve compute but at different tiers.
Which is cheaper to rent, the GB300 or the RTX 2000 Ada?▾
Cloud rental prices for both the GB300 and RTX 2000 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 2000 Ada?▾
The GB300 has 288 GB of HBM3e memory. The RTX 2000 Ada has 16 GB of GDDR6 memory.
Can I find GB300 and RTX 2000 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 2000 Ada?▾
The GB300 uses the Blackwell Ultra architecture (2025) while the RTX 2000 Ada uses Ada Lovelace (2024). The GB300 delivers 187.5x the FP16 throughput and 41.7x the memory bandwidth of the RTX 2000 Ada.