B200 SXM vs RTX 3090 Ti

BlackwellvsAmpereUpdated 35 days ago

The B200 SXM emerges victorious for prevalent AI and ML use cases: 4500 TFLOPS FP16, 192 GB VRAM, and 8000 GB/s bandwidth deliver unmatched speed for training and inference, justifying $1.71 per hour pricing over the RTX 3090 Ti's consumer limits.

B200 SXM from $3.95/hrRTX 3090 Ti from $0.20/hr

Specifications Compared

SpecB200RTX-3090
TDP1000W350W
VRAM192 GB24 GB
CUDA Cores18,43210,496
Memory TypeHBM3eGDDR6X
ArchitectureBlackwellAmpere
Form FactorsSXM, NVLPCIe
InterconnectNVLink, PCIe 6.0, InfiniBandNVLink
Tensor Cores576328
FP8 Performance9,000 TFLOPS
FP16 Performance4,500 TFLOPS35.6 TFLOPS
FP32 Performance90 TFLOPS35.6 TFLOPS
FP64 Performance45 TFLOPS
INT8 Performance9,000 TOPS
Memory Bandwidth8,000 GB/s936 GB/s

Performance Analysis

The B200 SXM dominates in compute throughput: its 4500 TFLOPS FP16 rate surpasses the RTX 3090 Ti's 35.6 TFLOPS by over 126 times, accelerating deep learning training where half-precision dominates. The B200's FP32 performance of 90 TFLOPS edges out the 3090 Ti's 35.6 TFLOPS, but FP8 at 9000 TFLOPS on B200 optimizes inference for quantized models, reducing latency in deployment.

Memory specs reshape workloads profoundly: 192 GB HBM3e VRAM and 8000 GB/s bandwidth on B200 support batch sizes for models exceeding 100 billion parameters without offloading. RTX 3090 Ti's 24 GB GDDR6X and 936 GB/s constrain it to smaller models or reduced batches, risking out-of-memory errors in large-scale training. Higher TDP of 1000W on B200 versus 350W demands robust cooling, yet yields proportional gains.

Interconnects amplify scaling: B200's NVLink, PCIe 6.0, and InfiniBand enable multi-GPU clusters, unlike the 3090 Ti's basic NVLink.

Live Cloud Pricing

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

B200 SXM

ProviderGPU ModelVRAMHost SpecsRegionPriceStatusAction
Nebius
Nebius
NVIDIA B200 SXM
192GB VRAM
$3.95/GPU/hr
Cirrascale
Cirrascale
8×NVIDIA B200 SXM
192GB VRAM
$4.79/GPU/hr
$38.32/hr total (8×)
Cirrascale
Cirrascale
8×NVIDIA B200 SXM
192GB VRAM
$5.39/GPU/hr
$43.12/hr total (8×)
Cirrascale
Cirrascale
8×NVIDIA B200 SXM
192GB VRAM
$5.69/GPU/hr
$45.52/hr total (8×)
RunPod
RunPod
NVIDIA B200 SXM
192GB VRAM
$5.89/GPU/hr

RTX 3090 Ti

ProviderGPU ModelVRAMHost SpecsRegionPriceStatusAction
TensorDock
TensorDock
NVIDIA GeForce RTX 3090
24GB VRAM
$0.20/GPU/hr
Available
TensorDock
TensorDock
NVIDIA GeForce RTX 3090
24GB VRAM
$0.21/GPU/hr
Available
Vast.ai
Vast.ai
4×NVIDIA GeForce RTX 3090
24GB VRAM
$0.25/GPU/hr
$1.01/hr total (4×)
Available
Vast.ai
Vast.ai
4×NVIDIA GeForce RTX 3090
24GB VRAM
$0.27/GPU/hr
$1.07/hr total (4×)
Available
LeaderGPU
LeaderGPU
8×NVIDIA GeForce RTX 3090
24GB VRAM
$0.29/GPU/hr
$2.29/hr total (8×)
Available

Compare real-time pricing across 25+ providers

When to Choose the B200 SXM

Large-scale AI training selects the B200 SXM: 192 GB VRAM accommodates full models like 175B-parameter LLMs, and 4500 TFLOPS FP16 speeds iterations. Multi-node deployments leverage PCIe 6.0 and InfiniBand for efficient scaling across clusters.

Inference at production volumes favors B200: 9000 TFLOPS FP8 handles high-throughput quantized serving.

When to Choose the RTX 3090 Ti

Budget prototyping chooses RTX 3090 Ti: pricing from $0.10 per hour supports experimentation with models under 24 GB VRAM. Stable Diffusion or fine-tuning smaller networks run adequately at 35.6 TFLOPS FP16.

Single-user gaming or light inference suits its PCIe form factor and 350W TDP, avoiding datacenter overhead.

Use Cases

LLM Training
B200 SXM

B200's 4500 TFLOPS FP16 and 192 GB VRAM enable efficient training of massive models. RTX 3090 Ti's 24 GB limits scale.

LLM Inference
B200 SXM

9000 TFLOPS FP8 on B200 supports high-throughput quantized serving. 8000 GB/s bandwidth handles large batches.

Fine-tuning
Either

RTX 3090 Ti suffices for small models at $0.10 per hour. B200 excels for parameter-heavy fine-tuning with 192 GB VRAM.

Stable Diffusion
RTX 3090 Ti

RTX 3090 Ti's 35.6 TFLOPS FP16 generates images quickly within 24 GB VRAM. Lower cost fits creative workflows.

Scientific Computing
B200 SXM

B200's 90 TFLOPS FP32 and InfiniBand suit simulations. High bandwidth processes large datasets.

Frequently Asked Questions

How much VRAM does the NVIDIA B200 SXM have compared to RTX 3090 Ti?

B200 SXM provides 192 GB HBM3e VRAM. RTX 3090 Ti offers 24 GB GDDR6X, an eightfold difference for larger models.

What is the FP16 performance difference between B200 SXM and RTX 3090 Ti?

B200 SXM delivers 4500 TFLOPS FP16. RTX 3090 Ti achieves 35.6 TFLOPS, making B200 over 126 times faster for AI training.

Which GPU has higher memory bandwidth?

B200 SXM reaches 8000 GB/s with HBM3e. RTX 3090 Ti provides 936 GB/s GDDR6X, supporting vastly larger batch sizes on B200.

What are the cloud pricing ranges for these GPUs?

B200 SXM starts at $1.71 per hour, averaging $4.60 across 13 offers. RTX 3090 Ti begins at $0.10 per hour, averaging $0.25 across 5 offers.

What is the TDP of B200 SXM versus RTX 3090 Ti?

B200 SXM consumes 1000W TDP. RTX 3090 Ti uses 350W, suiting lighter power environments.

Can RTX 3090 Ti handle large LLM training?

RTX 3090 Ti's 24 GB VRAM limits it to small models. B200 SXM's 192 GB excels for LLMs over 70B parameters.

Which is cheaper to rent, the B200 or the RTX 3090?

Cloud rental prices for both the B200 and RTX 3090 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 B200 have compared to the RTX 3090?

The B200 has 192 GB of HBM3e memory. The RTX 3090 has 24 GB of GDDR6X memory.

Can I find B200 and RTX 3090 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 B200 and the RTX 3090?

The B200 uses the Blackwell architecture (2024) while the RTX 3090 uses Ampere (2020). The B200 delivers 126.4x the FP16 throughput and 8.5x the memory bandwidth of the RTX 3090.

B200 SXM vs RTX 3090 Ti: 126.4x FP16 Gap, 192GB vs 24GB | GPUPerHour