GB300 SXM6 vs RTX 2080 Ti

Blackwell UltravsTuringUpdated 35 days ago

The GB300 SXM6 wins for common AI use cases like LLM training and inference. Its 288 GB VRAM, 2250 TFLOPS FP16, and 12000 GB/s bandwidth dwarf the RTX 2080 Ti's 11 GB, 10.1 TFLOPS, and 616 GB/s, enabling production-scale performance despite higher power draw.

RTX 2080 Ti from $0.13/hr

Specifications Compared

SpecGB300RTX-2080
TDP1400W215W
VRAM288 GB8-11 GB
Memory TypeHBM3eGDDR6
ArchitectureBlackwell UltraTuring
Form FactorsSXMPCIe
InterconnectNVSwitch, NVLinkNVLink
FP8 Performance4,500 TFLOPS
FP16 Performance2,250 TFLOPS10.1 TFLOPS
FP32 Performance90 TFLOPS10.1 TFLOPS
FP64 Performance45 TFLOPS
INT8 Performance4,500 TOPS
Memory Bandwidth12,000 GB/s616 GB/s

Performance Analysis

The GB300 SXM6 dominates in AI workloads: its 2250 TFLOPS FP16 exceeds the RTX 2080 Ti's 10.1 TFLOPS by over 222 times, accelerating neural network training. The FP32 performance of 90 TFLOPS on the GB300 SXM6 is nearly 9 times the RTX 2080 Ti's 10.1 TFLOPS, benefiting simulation tasks. FP8 at 4500 TFLOPS on the GB300 SXM6 optimizes low-precision inference.

Memory bandwidth defines scalability: 12000 GB/s on the GB300 SXM6 supports batch sizes 19 times larger than the RTX 2080 Ti's 616 GB/s, reducing out-of-memory errors in large models. The GB300 SXM6's NVSwitch and NVLink interconnects enable multi-GPU scaling, unlike the RTX 2080 Ti's PCIe form factor. Higher 1400W TDP reflects dense compute density.

Live Cloud Pricing

Real-time prices from 25+ providers. Updated every 60 seconds.

RTX 2080 Ti

ProviderGPU ModelVRAMHost SpecsRegionPriceStatusAction
Vast.ai
Vast.ai
NVIDIA GeForce RTX 2080 Ti
11GB VRAM
$0.13/GPU/hr
Available

Compare real-time pricing across 25+ providers

When to Choose the GB300 SXM6

Choose the GB300 SXM6 for massive AI training: its 288 GB VRAM handles models exceeding 100B parameters without sharding. The 4500 TFLOPS FP8 and 12000 GB/s bandwidth excel in high-throughput inference clusters.

Datacenter deployments benefit from SXM form factor and NVSwitch: 2250 TFLOPS FP16 cuts training times dramatically for LLMs.

When to Choose the RTX 2080 Ti

The RTX 2080 Ti suits budget prototyping: at $0.06 per hour average $0.10, it runs small models within 11 GB VRAM limits. Low 215W TDP fits edge or cost-sensitive clouds.

Light inference or gaming-related tasks leverage NVLink: 10.1 TFLOPS FP16 suffices for non-scale workloads.

Use Cases

LLM Training
GB300 SXM6

The GB300 SXM6's 288 GB HBM3e VRAM supports massive models without multi-node sharding. Its 2250 TFLOPS FP16 delivers over 222 times the RTX 2080 Ti's performance.

LLM Inference
GB300 SXM6

4500 TFLOPS FP8 on the GB300 SXM6 accelerates quantized serving at scale. 12000 GB/s bandwidth handles large batches unlike the RTX 2080 Ti's 616 GB/s.

Fine-tuning
GB300 SXM6

288 GB VRAM fits full-parameter fine-tuning on large LLMs. 90 TFLOPS FP32 outperforms the RTX 2080 Ti's 10.1 TFLOPS for precision tasks.

Stable Diffusion
RTX 2080 Ti

RTX 2080 Ti's $0.06 per hour pricing suits quick image generation prototypes. 11 GB VRAM handles standard resolutions without need for GB300 SXM6's excess capacity.

Scientific Computing
GB300 SXM6

GB300 SXM6's 90 TFLOPS FP32 and NVSwitch interconnect scale simulations. Bandwidth of 12000 GB/s processes large datasets faster than 616 GB/s.

Frequently Asked Questions

What is the VRAM capacity of the GB300 SXM6 versus RTX 2080 Ti?

The GB300 SXM6 has 288 GB HBM3e VRAM. The RTX 2080 Ti provides 11 GB GDDR6. This 26-fold difference allows the GB300 SXM6 to load enormous models entirely in memory.

How do FP16 performances compare?

GB300 SXM6 delivers 2250 TFLOPS FP16. RTX 2080 Ti offers 10.1 TFLOPS. The gap exceeds 222 times, favoring GB300 SXM6 for deep learning acceleration.

What are the cloud pricing details?

RTX 2080 Ti starts at $0.06 per hour, averaging $0.10 across 4 offers. GB300 SXM6 has no live offers. Budget tasks favor the RTX 2080 Ti.

Which GPU has higher memory bandwidth?

GB300 SXM6 achieves 12000 GB/s. RTX 2080 Ti reaches 616 GB/s. This enables 19 times larger batches on GB300 SXM6.

What are the TDPs of these GPUs?

GB300 SXM6 requires 1400W TDP. RTX 2080 Ti uses 215W. Lower power suits portable RTX 2080 Ti deployments.

What architectures do they use?

GB300 SXM6 employs Blackwell Ultra from 2025. RTX 2080 Ti uses Turing from 2018. The 7-year gap drives GB300 SXM6's superior 4500 TFLOPS FP8.

Which is cheaper to rent, the GB300 or the RTX 2080?

Cloud rental prices for both the GB300 and RTX 2080 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 2080?

The GB300 has 288 GB of HBM3e memory. The RTX 2080 has 8 to 11 GB of GDDR6 memory.

Can I find GB300 and RTX 2080 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 2080?

The GB300 uses the Blackwell Ultra architecture (2025) while the RTX 2080 uses Turing (2018). The GB300 delivers 222.8x the FP16 throughput and 19.5x the memory bandwidth of the RTX 2080.

GB300 SXM6 vs RTX 2080 Ti: 288GB vs 11GB | GPUPerHour