GTX 1070 Ti vs H200 SXM

PascalvsHopperUpdated 35 days ago

The H200 SXM dominates for prevalent AI and compute workloads: 1979 TFLOPS FP16 and 141 GB HBM3e VRAM enable modern training and inference infeasible on GTX 1070 Ti's 8.9 TFLOPS and 8 GB GDDR5.

H200 SXM from $1.99/hr

Specifications Compared

SpecGTX-1070H200
TDP150W700W
VRAM8 GB141 GB
CUDA Cores1,92016,896
Memory TypeGDDR5HBM3e
ArchitecturePascalHopper
Form FactorsPCIeSXM, NVL
InterconnectNVLink, PCIe 5.0, InfiniBand
FP16 Performance6.5 TFLOPS1,979 TFLOPS
FP32 Performance6.5 TFLOPS67 TFLOPS
Memory Bandwidth256 GB/s4,800 GB/s

Performance Analysis

Raw compute power separates these GPUs dramatically: the H200 SXM achieves 1979 TFLOPS in FP16 compared to the GTX 1070 Ti's 8.9 TFLOPS, accelerating deep learning training where half-precision dominates. FP32 performance reaches 67 TFLOPS on H200 SXM versus 8.9 TFLOPS, aiding traditional simulations. The FP16 to FP32 ratio on H200 SXM, nearly 30:1, optimizes mixed-precision training, while GTX 1070 Ti offers 1:1 parity suited to older FP32-heavy tasks. Memory specs transform workloads: 4800 GB/s bandwidth on H200 SXM versus 256 GB/s enables 18.75 times larger data throughput, supporting bigger batch sizes in neural networks and reducing iterations. H200 SXM's 141 GB VRAM handles models over 100 GB, impossible on 8 GB GTX 1070 Ti, preventing out-of-memory errors in inference or fine-tuning large language models.

Live Cloud Pricing

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

H200 SXM

ProviderGPU ModelVRAMHost SpecsRegionPriceStatusAction
Vultr
Vultr
NVIDIA GH200 Grace Hopper
96GB VRAM
$1.99/GPU/hr
Available
Lambda Labs
Lambda Labs
NVIDIA GH200 Grace Hopper
96GB VRAM
$2.29/GPU/hr
Available
Nebius
Nebius
NVIDIA H200 SXM
141GB VRAM
$2.45/GPU/hr
CoreWeave
CoreWeave
8×NVIDIA H200 SXM
141GB VRAM
$2.58/GPU/hr
$20.64/hr total (8×)
Ori
Ori
4×NVIDIA H200 SXM
141GB VRAM
$3.50/GPU/hr
$14.00/hr total (4×)
Available

Compare real-time pricing across 25+ providers

When to Choose the GTX 1070 Ti

The GTX 1070 Ti excels in budget local setups for 1080p gaming or basic compute under 8 GB VRAM. Its 180 W TDP and PCIe compatibility suit low-power desktops without cloud dependency, ideal where no live offers exist and tasks like legacy machine learning fit 256 GB/s bandwidth.

When to Choose the H200 SXM

Select the H200 SXM for demanding AI and HPC: 1979 TFLOPS FP16 powers LLM training, while 141 GB VRAM manages massive models. Cloud access at $1.19 per hour scales multi-GPU clusters via NVLink, outperforming GTX 1070 Ti in bandwidth-intensive inference.

Use Cases

LLM Training
H200 SXM

H200 SXM's 1979 TFLOPS FP16 and 141 GB VRAM handle large-scale LLM training with huge batches; GTX 1070 Ti's 8.9 TFLOPS and 8 GB VRAM fail for models over 7 billion parameters.

LLM Inference
H200 SXM

H200 SXM supports high-throughput inference via 3958 TFLOPS FP8 and 4800 GB/s bandwidth; GTX 1070 Ti limits to small models due to 8 GB VRAM.

Fine-tuning
H200 SXM

141 GB VRAM on H200 SXM fits full fine-tuning of large models; 8 GB on GTX 1070 Ti restricts to tiny datasets or LoRA only.

Stable Diffusion
Either

GTX 1070 Ti runs basic Stable Diffusion at 8 GB VRAM for local hobbyists; H200 SXM accelerates high-res generations with 4800 GB/s bandwidth.

Scientific Computing
H200 SXM

H200 SXM's 67 TFLOPS FP32 and NVLink scale simulations; GTX 1070 Ti's 8.9 TFLOPS suits single-node legacy codes.

Frequently Asked Questions

What is the FP16 performance difference between GTX 1070 Ti and H200 SXM?

The H200 SXM delivers 1979 TFLOPS FP16, while GTX 1070 Ti provides 8.9 TFLOPS. This 222-fold gap accelerates AI training significantly on H200 SXM.

How much VRAM do GTX 1070 Ti and H200 SXM have?

GTX 1070 Ti has 8 GB GDDR5; H200 SXM offers 141 GB HBM3e. The difference allows H200 SXM to load models 17 times larger.

What are the cloud prices for H200 SXM?

NVIDIA H200 SXM starts at $1.19 per hour, averaging $3.71 per hour across 22 offers. GTX 1070 Ti has no live cloud offers.

Is GTX 1070 Ti suitable for modern AI training?

GTX 1070 Ti's 8 GB VRAM and 8.9 TFLOPS FP16 limit it to small models. H200 SXM's 141 GB and 1979 TFLOPS FP16 are required for current LLMs.

What is the memory bandwidth comparison?

H200 SXM provides 4800 GB/s; GTX 1070 Ti offers 256 GB/s. This 18.75 times advantage boosts batch sizes on H200 SXM.

Which has higher TDP, GTX 1070 Ti or H200 SXM?

H200 SXM consumes 700 W; GTX 1070 Ti uses 180 W. Higher TDP on H200 SXM correlates with its superior 1979 TFLOPS FP16.

Which is cheaper to rent, the GTX 1070 or the H200?

Cloud rental prices for both the GTX 1070 and H200 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 GTX 1070 have compared to the H200?

The GTX 1070 has 8 GB of GDDR5 memory. The H200 has 141 GB of HBM3e memory.

Can I find GTX 1070 and H200 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 GTX 1070 and the H200?

The GTX 1070 uses the Pascal architecture (2016) while the H200 uses Hopper (2024). The H200 delivers 304.5x the FP16 throughput and 18.8x the memory bandwidth of the GTX 1070.

GTX 1070 Ti vs H200 SXM: 304.5x FP16 Gap, 141GB vs 8GB | GPUPerHour