GPU comparison

Gaudi 2 vs Quadro P4000

Specifications and current cloud pricing, side by side.

GaudivsPascalUpdated 30 days ago

The Gaudi 2 wins for the most common large model use case because its 96 GB HBM2e memory and 2450 GB/s bandwidth exceed the Quadro P4000 specifications by wide margins while the 600W TDP remains acceptable in modern server deployments.

Gaudi 2 from $0.91/GPU/hrQuadro P4000 from $0.51/GPU/hr

Right now, from live stock

  • Cheapest right now: Quadro P4000 at $0.51/hr on Paperspace

    Deploy
  • Most providers in stock: Gaudi 2 and Quadro P4000 (1 each)

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Specifications Compared

SpecGaudi 2Quadro P4000
TDP600W105W
VRAM96 GB8 GB
CUDA CoresNot published1,792
Memory TypeHBM2eGDDR5
ArchitectureGaudiPascal
Form FactorsOAMPCIe
InterconnectRoCE Ethernet, PCIe 4.0PCIe 3.0
FP32 PerformanceNot published5.3 TFLOPS
Memory Bandwidth2,450 GB/s243 GB/s

Performance Analysis

Memory bandwidth of 2450 GB/s on the Gaudi 2 exceeds the 243 GB/s on the Quadro P4000 by a factor of ten and therefore supports substantially larger batch sizes during data movement. The Quadro P4000 lists a dense FP32 rating of 5.3 TFLOPS while the Gaudi 2 publishes no tensor figures of any kind. Absence of published dense FP16 or dense FP32 values for the Gaudi 2 prevents direct ratio calculations yet the 96 GB capacity versus 8 GB capacity indicates the Gaudi 2 can retain entire models that exceed the Quadro P4000 memory limit. Power figures of 600W and 105W further separate sustained operation envelopes for each device.

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.

Gaudi 2

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
LeaderGPUThe Netherlands8$0.91$7.29Deploy

1 provider in stock, 1 offer. All Gaudi 2 offers, price history and alerts

Quadro P4000

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
Paperspaceams11$0.51—Deploy

1 provider in stock, 6 offers (cheapest per provider shown). All Quadro P4000 offers, price history and alerts

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When to Choose the Gaudi 2

The Gaudi 2 suits workloads that require 96 GB HBM2e memory and 2450 GB/s bandwidth such as large scale model storage. Its OAM form factor and RoCE Ethernet interconnect further align with systems that prioritize high capacity interconnects over low power draw.

When to Choose the Quadro P4000

The Quadro P4000 fits environments constrained to 105W TDP and PCIe form factor where a dense FP32 rating of 5.3 TFLOPS meets modest compute needs. Its 8 GB GDDR5 memory and PCIe 3.0 interconnect match legacy workstations that cannot accommodate higher power or newer interconnect standards.

Use Cases

LLM Training
Gaudi 2

The Gaudi 2 supplies 96 GB HBM2e memory and 2450 GB/s bandwidth that accommodate large training batches unavailable on the Quadro P4000 8 GB configuration.

LLM Inference
Gaudi 2

The Gaudi 2 96 GB capacity supports longer context windows than the Quadro P4000 8 GB limit during inference sessions.

Fine-tuning
Gaudi 2

Fine-tuning benefits from the Gaudi 2 2450 GB/s bandwidth when loading 96 GB datasets that surpass the Quadro P4000 memory size.

Stable Diffusion
Quadro P4000

The Quadro P4000 dense FP32 rating of 5.3 TFLOPS combined with 105W TDP meets Stable Diffusion requirements in power limited workstations.

Scientific Computing
Quadro P4000

The Quadro P4000 PCIe 3.0 interconnect and 105W TDP align with existing scientific computing nodes that cannot host 600W OAM modules.

Frequently Asked Questions

What is the memory bandwidth of the Quadro P4000?▾

The Quadro P4000 lists 243 GB/s memory bandwidth. The Gaudi 2 lists 2450 GB/s bandwidth which is ten times higher.

Does the Gaudi 2 publish an FP32 rating?▾

The Gaudi 2 does not publish an FP32 rating. The Quadro P4000 publishes a dense FP32 rating of 5.3 TFLOPS.

What power draw does each GPU require?▾

The Gaudi 2 requires 600W TDP. The Quadro P4000 requires 105W TDP.

Which interconnect does the Gaudi 2 support?▾

The Gaudi 2 supports RoCE Ethernet and PCIe 4.0. The Quadro P4000 supports only PCIe 3.0.

What form factor does the Quadro P4000 use?▾

The Quadro P4000 uses a PCIe form factor. The Gaudi 2 uses an OAM form factor.

Which is cheaper to rent, the Gaudi 2 or the Quadro P4000?▾

Cloud rental prices for both the Gaudi 2 and Quadro P4000 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 Gaudi 2 have compared to the Quadro P4000?▾

The Gaudi 2 has 96 GB of HBM2e memory. The Quadro P4000 has 8 GB of GDDR5 memory.

Can I find Gaudi 2 and Quadro P4000 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 Gaudi 2 and the Quadro P4000?▾

The Gaudi 2 uses the Gaudi architecture (2022) while the Quadro P4000 uses Pascal (2017). The Gaudi 2 has 96 GB of HBM2e at 2,450 GB/s; the Quadro P4000 has 8 GB of GDDR5 at 243 GB/s, so the Gaudi 2 has 10.1x the memory bandwidth of the Quadro P4000.

Rent these GPUs

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Related comparisons

How this page is made

  • Specifications come from the NVIDIA, AMD and Intel datasheets for the Gaudi 2 and the Quadro P4000. 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.

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