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Tesla V100 SXM2 32GB vs Instinct MI300X

Complete side-by-side comparison of specs, performance, memory, power efficiency, and pricing.

NVIDIA

Tesla V100 SXM2 32GB

9

Spec Wins

AMD

Instinct MI300X

65

Detailed Specifications

SpecTesla V100 SXM2 32GBInstinct MI300X
ArchitectureVolta (GV100) CDNA 3
Memory32GB HBM2 192GB HBM3
Memory Bandwidth900 GB/s 5,300 GB/s
FP16 TFLOPS125 1,307
FP8 TFLOPS0 2,614
BF16 TFLOPS0 1,307
INT8 TOPS62 2,614
TDP300W 750W
InterconnectNVLink 2.0 (300 GB/s) (300 GB/s) Infinity Fabric (896 GB/s) (896 GB/s)
Perf Score9 65
EcosystemCUDA ROCM
Est. Price$3,000 $15,000

Tesla V100 SXM2 32GB — Best For

Budget ML TrainingClassic Deep LearningLegacy Pipelines

Instinct MI300X — Best For

Large ModelsCost-Effective Training

Who Should Choose Each GPU?

Choose Tesla V100 SXM2 32GB if you…

  • Need maximum CUDA/TensorRT/vLLM ecosystem compatibility
  • Have power-constrained data centers (300W vs 750W TDP)
  • Working with a tighter CapEx budget (lower list price)
  • Running Budget ML Training workloads
  • Running Classic Deep Learning workloads
  • Running Legacy Pipelines workloads

Choose Instinct MI300X if you…

  • Need more VRAM (192GB vs 32GB) for large model inference
  • Prioritize raw FP8 throughput (2,614 vs 0 TFLOPS)
  • Running Large Models workloads
  • Running Cost-Effective Training workloads

Verdict

The Tesla V100 SXM2 32GB and Instinct MI300X target different priorities. The Instinct MI300X's 192GB of HBM3 gives it a clear edge for large-model inference where fitting the full model in VRAM eliminates quantization overhead. For training throughput, the Instinct MI300X's 2,614 FP8 TFLOPS outpaces the Tesla V100 SXM2 32GB's 0 TFLOPS. Teams already invested in the NVIDIA/CUDA ecosystem will have less friction with the Tesla V100 SXM2 32GB, while teams open to ROCM can benefit from the Instinct MI300X's advantages. Use our TCO Calculator to model the full 3-year cost difference for your specific utilization and power costs.

Tesla V100 SXM2 32GB vs Instinct MI300X: Common Questions

Which is faster, Tesla V100 SXM2 32GB or Instinct MI300X?+

In FP8 throughput, the Instinct MI300X leads with 2,614 TFLOPS vs 0 TFLOPS. For LLM inference, memory capacity and bandwidth often matter more than raw TFLOPS — the Instinct MI300X has more VRAM (192GB).

Is Tesla V100 SXM2 32GB or Instinct MI300X better for LLM training?+

For LLM training at scale, the Instinct MI300X has higher raw throughput. However, the choice also depends on your software stack: Tesla V100 SXM2 32GB offers CUDA compatibility with the widest framework support (PyTorch, JAX, TensorRT).

What is the price difference between Tesla V100 SXM2 32GB and Instinct MI300X?+

The Tesla V100 SXM2 32GB is estimated at $3,000 per unit and the Instinct MI300X at $15,000. Actual pricing varies by vendor, volume, and configuration. Check our Buy page for current reseller pricing.

Which GPU is more power efficient, Tesla V100 SXM2 32GB or Instinct MI300X?+

The Tesla V100 SXM2 32GB has a lower TDP (300W vs 750W). Performance-per-watt depends on your workload — for FP8 inference, divide TFLOPS by TDP: Tesla V100 SXM2 32GB = 0.0 TFLOPS/W vs Instinct MI300X = 3.5 TFLOPS/W.

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