Specifications Compared
| Spec | GAUDI2 | RTX-4070 |
|---|---|---|
| TDP | 600W | 200W |
| VRAM | 96 GB | 12 GB |
| Memory Type | HBM2e | GDDR6X |
| Architecture | Gaudi | Ada Lovelace |
| Form Factors | OAM | PCIe |
| Interconnect | Ethernet | |
| FP16 Performance | 420 TFLOPS | 29.1 TFLOPS |
| FP32 Performance | 420 TFLOPS | 29.1 TFLOPS |
| Memory Bandwidth | 2,460 GB/s | 504 GB/s |
Performance Analysis
The Gaudi 2 outperforms the RTX 4070 Ti SUPER dramatically in raw compute, delivering 420 TFLOPS FP16 and FP32 versus 29.1 TFLOPS, a roughly 14-fold advantage. This delta translates to faster training times for deep learning models, where FP16 handles mixed-precision computations efficiently, and FP32 ensures precise gradients. For inference, the Gaudi 2 supports higher throughput on large models due to its balanced tensor core utilization.
Memory specifications further differentiate them: Gaudi 2's 96 GB HBM2e and 2460 GB/s bandwidth enable massive batch sizes, reducing overhead in training large language models that would fragment or fail on the RTX 4070 Ti SUPER's 12 GB GDDR6X and 504 GB/s. Lower bandwidth on RTX 4070 Ti SUPER limits scalability for memory-intensive tasks, often requiring model sharding or smaller batches.
Power efficiency varies with 600W TDP for Gaudi 2 versus 200W for RTX 4070 Ti SUPER, impacting datacenter costs but favoring RTX 4070 Ti SUPER in edge or low-power cloud instances. Overall, Gaudi 2 excels in professional AI pipelines, while RTX 4070 Ti SUPER suits prototyping.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
Intel Gaudi 2
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 LeaderGPU | 8×Intel Gaudi 2 96GB VRAM | 96GB | 64 vCPU 2048GB RAM 96174GB Storage | Netherlands | $0.91/GPU/hr $7.29/hr total (8×) | Available | ||
 Denvr | 8×Intel Gaudi 2 96GB VRAM | 96GB | 160 vCPU 1024GB RAM 30400GB Storage | Virginia | $1.25/GPU/hr $10.00/hr total (8×) |
RTX 4070 Ti SUPER
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 RunPod | NVIDIA GeForce RTX 4070 Ti 12GB VRAM | 12GB | 6 vCPU 30GB RAM | 🌍global | $0.50/GPU/hr |
When to Choose the Intel Gaudi 2
Opt for the Intel Gaudi 2 in scenarios demanding high VRAM and compute for large-scale AI training, such as LLMs exceeding 12 GB model sizes. Its 96 GB HBM2e and 2460 GB/s bandwidth support enormous batch sizes, accelerating convergence on datasets that overwhelm the RTX 4070 Ti SUPER. Ethernet interconnect and OAM form factor integrate seamlessly into scale-out clusters for distributed training.
The Gaudi 2 proves ideal for enterprise inference serving high-concurrency requests, leveraging 420 TFLOPS FP16 to process voluminous payloads at $1.08 per hour average.
When to Choose the RTX 4070 Ti SUPER
Select the NVIDIA GeForce RTX 4070 Ti SUPER for cost-sensitive, smaller-scale workloads like fine-tuning compact models or Stable Diffusion generation. At $0.17 per hour average, its 12 GB GDDR6X suffices for tasks under 10 GB VRAM, with 29.1 TFLOPS FP16 providing adequate speed for prototyping.
Its 200W TDP and PCIe form factor make it preferable in power-limited or desktop-like cloud environments, avoiding the Gaudi 2's 600W draw.
Use Cases
Gaudi 2's 96 GB HBM2e VRAM and 420 TFLOPS FP16 enable training of massive LLMs with large batches, far beyond RTX 4070 Ti SUPER's 12 GB limit.
The 2460 GB/s bandwidth and 420 TFLOPS on Gaudi 2 support high-throughput serving of large models; RTX 4070 Ti SUPER restricts to smaller variants.
RTX 4070 Ti SUPER's 12 GB VRAM and $0.17 per hour cost fit efficient fine-tuning of mid-sized models, where Gaudi 2's capacity is overkill.
RTX 4070 Ti SUPER handles image generation workloads within 12 GB VRAM at 29.1 TFLOPS, offering better value at lower power and price.
Gaudi 2's 420 TFLOPS FP32 and 96 GB VRAM accelerate simulations and HPC tasks requiring high memory and precision.
Frequently Asked Questions
How much VRAM does Intel Gaudi 2 have compared to RTX 4070 Ti SUPER?▾
Intel Gaudi 2 features 96 GB HBM2e VRAM. RTX 4070 Ti SUPER has 12 GB GDDR6X. This 8x difference allows Gaudi 2 to manage significantly larger AI models.
What are the FP16 performance figures for these GPUs?▾
Gaudi 2 delivers 420 TFLOPS FP16. RTX 4070 Ti SUPER provides 29.1 TFLOPS FP16. Gaudi 2 offers over 14 times the half-precision compute for training.
Which GPU has higher memory bandwidth?▾
Gaudi 2 achieves 2460 GB/s with HBM2e. RTX 4070 Ti SUPER reaches 504 GB/s with GDDR6X. Higher bandwidth on Gaudi 2 boosts large batch processing.
What is the cloud pricing for Gaudi 2 versus RTX 4070 Ti SUPER?▾
Gaudi 2 starts from $0.91 per hour, averaging $1.08 across two offers. RTX 4070 Ti SUPER begins at $0.09 per hour, averaging $0.17.
How do their TDPs compare?▾
Gaudi 2 requires 600W TDP. RTX 4070 Ti SUPER uses 200W TDP. Lower power on RTX 4070 Ti SUPER suits constrained environments.
What form factors do these GPUs use?▾
Gaudi 2 employs OAM form factor with Ethernet interconnect. RTX 4070 Ti SUPER uses PCIe. This affects deployment in servers versus workstations.
Which is cheaper to rent, the Gaudi 2 or the RTX 4070?▾
Cloud rental prices for both the Gaudi 2 and RTX 4070 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 RTX 4070?▾
The Gaudi 2 has 96 GB of HBM2e memory. The RTX 4070 has 12 GB of GDDR6X memory.
Can I find Gaudi 2 and RTX 4070 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 RTX 4070?▾
The Gaudi 2 uses the Gaudi architecture (2022) while the RTX 4070 uses Ada Lovelace (2023). The Gaudi 2 delivers 14.4x the FP16 throughput and 4.9x the memory bandwidth of the RTX 4070.