GPU comparison

GB300 vs RTX 6000 Ada

Specifications and current cloud pricing, side by side.

Blackwell UltravsAda LovelaceUpdated 33 days ago

The GB300 wins for the most common use case of LLM training because its 2250 TFLOPS FP16 dense and 262 to 288 GB VRAM exceed the RTX 6000 Ada specifications by wide margins in key AI metrics.

GB300 listed from $7.99/GPU/hrRTX 6000 Ada listed from $0.78/GPU/hr

Right now, from live stock

  • Cheapest right now: RTX 6000 Ada at $0.78/hr on QuantaCloud

    Deploy
  • Most providers in stock: RTX 6000 Ada (4)

    See all offers

Specifications Compared

SpecGB300RTX 6000 Ada
TDP1400W300W
VRAM262-288 GB48 GB
CUDA CoresNot published18,176
FP4 (dense)13,500 TFLOPSNot published
FP8 (dense)4,500 TFLOPS728.5 TFLOPS
Memory TypeHBM3eGDDR6
ArchitectureBlackwell UltraAda Lovelace
FP16 (dense)2,250 TFLOPS364 TFLOPS
Form FactorsSXM6PCIe
INT8 (dense)187.5 TOPS728.5 TOPS
InterconnectNVLink, PCIe 6.0, InfiniBandPCIe 4.0
Tensor CoresNot published568
FP32 Performance75 TFLOPS91.1 TFLOPS
FP64 Performance1.25 TFLOPSNot published
Memory Bandwidth8,000 GB/s960 GB/s
FP4 (with sparsity)18,000 TFLOPSNot published
FP8 (with sparsity)9,000 TFLOPS1,457 TFLOPS
FP16 (with sparsity)4,500 TFLOPS728 TFLOPS
INT8 (with sparsity)375 TOPS1,457 TOPS

Performance Analysis

The difference in FP16 dense performance between 2250 TFLOPS on the GB300 and 364 TFLOPS on the RTX 6000 Ada indicates that the GB300 can process larger batches during training and inference operations. Memory bandwidth at 8000 GB/s versus 960 GB/s allows the GB300 to handle increased data movement which supports bigger batch sizes in model execution. FP32 performance stands at 75 TFLOPS for the GB300 compared to 91.1 TFLOPS for the RTX 6000 Ada showing that certain scientific workloads may favor the RTX 6000 Ada in single precision tasks. Comparisons of sparse figures such as FP16 with sparsity at 4500 TFLOPS versus 728 TFLOPS maintain the same relative advantage for the GB300.

Current On-Demand Offers

Cheapest secure on-demand offer per provider that is reported in stock right now, per GPU per hour; multi-GPU instances show the whole-instance price alongside. Deploy opens the DeployGPU console for providers on the platform, otherwise the provider's own site. Stock is rechecked every minute.

GB300

GB300 is not offered on-demand by any provider we track right now. See the GB300 rental page for last-seen listed prices and a price alert.

RTX 6000 Ada

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
QuantaCloudus-midwest-18$0.78$6.21Deploy
Massed Computeus-central-32$0.79$1.58Deploy
LeaderGPUThe Netherlands8$0.91$7.29Deploy
VERDAFIN-HEL1$1.35—Deploy

4 providers in stock, 17 offers (cheapest per provider shown). All RTX 6000 Ada offers, price history and alerts

Which GPU to watchWatch the price of

Notify me when GB300 drops below a price

One email when the cheapest in-stock on-demand price per GPU-hour falls below your threshold.

QuantaCloud

Comparing B-series options? Get one quote for all of them.

Skip the per-provider sales calls. Reserved and cluster B-series configurations from 16 to 1024+ GPUs with InfiniBand fabric, 3 to 12 month terms. One quote at partner rates, 24h turnaround.

No waitlist24hr quote turnaroundInfiniBand fabric

Compare real-time pricing across 25+ providers

When to Choose the GB300

The GB300 suits scenarios that require 262 to 288 GB VRAM and 2250 TFLOPS FP16 dense to manage extensive model sizes. Its 8000 GB/s bandwidth and 1400W TDP support sustained high throughput in clustered environments with NVLink interconnect.

When to Choose the RTX 6000 Ada

The RTX 6000 Ada fits deployments where 300W TDP and 91.1 TFLOPS FP32 enable efficient single precision work. Its 48 GB GDDR6 and PCIe 4.0 interconnect suit compact systems without demand for extreme memory capacity.

Use Cases

LLM Training
GB300

The GB300 supplies 2250 TFLOPS FP16 dense along with 262 to 288 GB VRAM to accommodate large models.

LLM Inference
GB300

The GB300 delivers 4500 TFLOPS FP8 dense and 8000 GB/s bandwidth for high volume inference throughput.

Fine-tuning
GB300

The GB300 provides 4500 TFLOPS FP16 with sparsity and extensive HBM3e capacity for parameter updates.

Stable Diffusion
RTX 6000 Ada

The RTX 6000 Ada operates at 300W TDP with 364 TFLOPS FP16 dense suitable for graphics oriented tasks.

Scientific Computing
RTX 6000 Ada

The RTX 6000 Ada achieves 91.1 TFLOPS FP32 which surpasses the 75 TFLOPS FP32 of the GB300.

Frequently Asked Questions

What is the memory bandwidth of the RTX 6000 Ada?▾

The RTX 6000 Ada provides 960 GB/s bandwidth. The GB300 reaches 8000 GB/s which is over eight times higher.

Which GPU has higher FP16 dense performance?▾

The GB300 reaches 2250 TFLOPS in FP16 dense. The RTX 6000 Ada reaches 364 TFLOPS in FP16 dense.

What TDP does the GB300 require?▾

The GB300 requires 1400W TDP. The RTX 6000 Ada requires 300W TDP which is less than one quarter as much.

Does the GB300 support NVLink?▾

The GB300 supports NVLink interconnect. The RTX 6000 Ada uses PCIe 4.0 interconnect instead.

How does FP32 performance compare?▾

The RTX 6000 Ada achieves 91.1 TFLOPS FP32. The GB300 achieves 75 TFLOPS FP32 in the same metric.

Which is cheaper to rent, the GB300 or the RTX 6000 Ada?▾

Cloud rental prices for both the GB300 and RTX 6000 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 6000 Ada?▾

The GB300 has 262 to 288 GB of HBM3e memory. The RTX 6000 Ada has 48 GB of GDDR6 memory.

Can I find GB300 and RTX 6000 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 6000 Ada?▾

The GB300 uses the Blackwell Ultra architecture (2025) while the RTX 6000 Ada uses Ada Lovelace (2022). The GB300 delivers 6.2x the dense FP16 throughput (2,250 vs 364 TFLOPS, both without sparsity) and 8.3x the memory bandwidth of the RTX 6000 Ada.

Rent these GPUs

Each GPU page lists every current on-demand offer by provider, per GPU-hour, updated every minute.

Related comparisons

How this page is made

  • Specifications come from the NVIDIA, AMD and Intel datasheets for the GB300 and the RTX 6000 Ada. Dense and sparse throughput are listed separately.
  • Prices and availability are live: every offer shown is an in-stock, on-demand listing from a provider we track, rechecked every minute.
  • The written comparison (overview, performance notes, when to choose each card, verdict, use cases and FAQ) was drafted with an AI model from the specification table above and passed an automated check that rejects any figure not in that table. It was last generated on . It contains no prices; those are always read live.
  • Read how we collect the data, or report an error on this page.

Next steps